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ATP

562: Do You Have a Dragon?

 

00:00:00 ◼   ► If you wanna really screw anything up big time,

00:00:03 ◼   ► really, if you want to just really make some of the biggest

00:00:06 ◼   ► public mistakes of your life, now is the time to do it,

00:00:10 ◼   ► because at least we're not the OpenAI board.

00:00:12 ◼   ► (Geoffrey laughs)

00:00:14 ◼   ► - You're jumping ahead, my friend.

00:00:15 ◼   ► Jumping ahead. - What a mess.

00:00:17 ◼   ► Oh my God.

00:00:18 ◼   ► Wow, I mean, you talk about people having bad weeks.

00:00:24 ◼   ► Like, sometimes, oh yeah, they're having a bad week.

00:00:26 ◼   ► Boy are they having a bad week.

00:00:28 ◼   ► - At least it's relatively low stakes, I feel like.

00:00:31 ◼   ► (Geoffrey laughs)

00:00:32 ◼   ► It's fun because it's only like, whatever,

00:00:34 ◼   ► 80 billion dollars on the line, but it's, you know,

00:00:36 ◼   ► in the end, it's people with computers and stuff and things,

00:00:38 ◼   ► and it's not like life or death,

00:00:40 ◼   ► and most of the people involved,

00:00:42 ◼   ► you feel okay laughing at them a little bit

00:00:44 ◼   ► because they're such big, distant figures,

00:00:46 ◼   ► they don't seem like real people to you.

00:00:48 ◼   ► But rest assured, they are,

00:00:49 ◼   ► and that's probably why they're in this mess.

00:00:52 ◼   ► (electronic beeping)

00:00:53 ◼   ► - Final warning.

00:00:55 ◼   ► This is the moment where you, a dear, beloved listener,

00:00:59 ◼   ► who has not yet put in your order,

00:01:01 ◼   ► you sit or stand there and you think,

00:01:04 ◼   ► I've got this, no worries.

00:01:06 ◼   ► I'm gonna take care of that as soon as I get to the office,

00:01:08 ◼   ► or I'll take care of it as soon as I get home.

00:01:11 ◼   ► And then, you, dear, beloved listener, you forget.

00:01:16 ◼   ► And then what happens?

00:01:18 ◼   ► Then the rules state, you have to go tweeting,

00:01:21 ◼   ► even though I won't see it, or tweeting at me,

00:01:23 ◼   ► saying, I'm the one, I'm that person this time.

00:01:28 ◼   ► Don't be that person, don't do that to yourself.

00:01:30 ◼   ► Go to ATP.fm/store.

00:01:32 ◼   ► This is your final warning, this is all we got, this is it.

00:01:35 ◼   ► The sale ends this weekend, Sunday, November 26th.

00:01:40 ◼   ► That's it, that's all the time you get.

00:01:43 ◼   ► So, go now, don't hesitate, pull over the car,

00:01:46 ◼   ► use a signal, because you're an adult and courteous,

00:01:50 ◼   ► use a signal.

00:01:51 ◼   ► If you're walking, do what you need to do

00:01:53 ◼   ► to indicate to those behind you,

00:01:55 ◼   ► you will be pulling to the side of the sidewalk.

00:01:57 ◼   ► If you're biking, God help you,

00:01:59 ◼   ► but do what you gotta do as a bikist, as Marco would say,

00:02:02 ◼   ► to get to the side of the road

00:02:04 ◼   ► and not get run over by a car.

00:02:06 ◼   ► - That makes people so mad, by the way.

00:02:08 ◼   ► - I know, I know it does.

00:02:09 ◼   ► - They don't get that it's a joke, it makes them so mad.

00:02:12 ◼   ► - I know, we know that bikist is not a thing.

00:02:15 ◼   ► Anyways, all kidding aside, go to ATP.fm/store,

00:02:18 ◼   ► check out our merch, check out our wares,

00:02:20 ◼   ► and remember, if you are a member,

00:02:23 ◼   ► you get 15% off the ATP store

00:02:27 ◼   ► during this time-limited sale

00:02:29 ◼   ► and all other time-limited sales, now is the time.

00:02:32 ◼   ► I know we kinda glossed over it last week,

00:02:34 ◼   ► but Jon, would you mind just doing

00:02:36 ◼   ► a brief overview of everything,

00:02:37 ◼   ► just one last time to really sell it,

00:02:40 ◼   ► just nail it and send it home.

00:02:42 ◼   ► Let's get a few more sales, Jon, what do we have on offer?

00:02:45 ◼   ► - We're not gonna go through all the merch again,

00:02:46 ◼   ► they know what's there, people know.

00:02:48 ◼   ► - All right, I'll go through all the merch,

00:02:49 ◼   ► why you gotta be such a party pooper?

00:02:51 ◼   ► All right, I'll do a speed run.

00:02:52 ◼   ► We got ATP Pixels, we've got ATP Space Black,

00:02:56 ◼   ► we've got the M3 shirt, the M3 Pro shirt, the M3 Max shirt,

00:02:59 ◼   ► we've got ATP Six Colors, which is six colors of fabric,

00:03:02 ◼   ► actually more than six colors of fabric,

00:03:03 ◼   ► but the text is always white,

00:03:05 ◼   ► really should've workshop that name, but here we are.

00:03:07 ◼   ► ATP Logo shirt, the OG, we've got the ATP hoodie,

00:03:10 ◼   ► ATP Polo, don't let me down, Polo ponies, Polo people,

00:03:14 ◼   ► don't let me down, this is my jam,

00:03:16 ◼   ► get an ATP Polo, please and thank you.

00:03:18 ◼   ► We've also got the ATP mug in now white

00:03:21 ◼   ► and a bluey purpley sort of thing,

00:03:23 ◼   ► Jon will correct the actual--

00:03:24 ◼   ► - It's cobalt, please, Casey, cobalt.

00:03:26 ◼   ► - Of course, I said that, it's definitely cobalt,

00:03:28 ◼   ► definitely not a bluey purpley thing.

00:03:30 ◼   ► - It's recycled cobalt, don't worry.

00:03:31 ◼   ► - Sure, and the ATP pint glass,

00:03:33 ◼   ► so go now, ATP.fm/store, and remember, if you're a member,

00:03:38 ◼   ► go to your member page, landing, strip,

00:03:42 ◼   ► whatever you call it thing,

00:03:43 ◼   ► and go get your bespoke discount code for 15% off,

00:03:47 ◼   ► ATP.fm/store, this is it, people,

00:03:50 ◼   ► the 26th, that's all you got.

00:03:52 ◼   ► - Yeah, the only thing I'll add is,

00:03:53 ◼   ► remember that a lot of the products come in

00:03:55 ◼   ► long sleeve T-shirt versions and sweatshirt versions.

00:03:59 ◼   ► I think this is kind of the first time we've done those

00:04:01 ◼   ► in a lot of these products, so check,

00:04:02 ◼   ► even though a lot of times it will show a picture

00:04:04 ◼   ► of a T-shirt, if you watch long enough,

00:04:05 ◼   ► the picture will rotate and you'll see

00:04:06 ◼   ► some long sleeve varieties, and it's the cold winter months

00:04:10 ◼   ► in our parts anyway, so think about those long sleeve

00:04:15 ◼   ► options if you're interested, and this sale does span

00:04:19 ◼   ► Black Friday, we did this intentionally,

00:04:21 ◼   ► so it ends on the 26th, Black Friday is a couple days

00:04:23 ◼   ► before that, you're gonna be thinking about shopping

00:04:27 ◼   ► for the holidays, probably, or you'll be bombarded

00:04:30 ◼   ► by messages about shopping for the holidays,

00:04:33 ◼   ► don't forget, this is your last chance,

00:04:35 ◼   ► I know we did this sale kind of early,

00:04:36 ◼   ► but we're trying as best we can to have a chance

00:04:38 ◼   ► of getting these things to you in time for the holidays,

00:04:41 ◼   ► so, you know, nerdy gifts for yourself or for others,

00:04:44 ◼   ► don't forget, when Black Friday arrives,

00:04:46 ◼   ► that's another reminder for you to hear Casey's voice

00:04:49 ◼   ► in your head, just saying, oh wait, was I supposed

00:04:50 ◼   ► to buy some nerd thing?

00:04:51 ◼   ► Yes, ATP.fm/store.

00:04:53 ◼   ► - Indeed, there's also Ute sizes as well,

00:04:56 ◼   ► which we added a little bit late, apologies about that,

00:04:58 ◼   ► so you can check out for your kids, you can get them stuff

00:05:00 ◼   ► for friends, kids, you know, whatever you wanna do,

00:05:03 ◼   ► ATP.fm/store, I'm telling you, this is good stuff,

00:05:06 ◼   ► that you should definitely check it out,

00:05:08 ◼   ► and time's running out, my friends, time is running out.

00:05:12 ◼   ► I feel like I had something else that I wanted to add,

00:05:13 ◼   ► but I forgot what it was, so, that's all right.

00:05:15 ◼   ► We'll just make me feel, we'll make me sound smart in post,

00:05:17 ◼   ► right Marco, right, right, right, okay, good.

00:05:18 ◼   ► - Garbage in, garbage out.

00:05:20 ◼   ► - Oh, brutal, brutal, well played, but very mean.

00:05:25 ◼   ► Keyboardware, let's talk about,

00:05:28 ◼   ► God, you really derailed me with that.

00:05:29 ◼   ► Keyboardware, let's talk about what happens to keyboards

00:05:32 ◼   ► because of your damn dirty fingers.

00:05:34 ◼   ► Ryan Holmes writes, Casey, I think what you're seeing

00:05:37 ◼   ► as finger grease is likely what keyboard enthusiasts

00:05:40 ◼   ► call quote unquote shine that happens to ABS plastic.

00:05:43 ◼   ► It's relatively soft plastic that is susceptible

00:05:45 ◼   ► to finger oils and heat.

00:05:47 ◼   ► To John's point, some people's finger oils shine them

00:05:49 ◼   ► more than others.

00:05:50 ◼   ► When you use a magic eraser to remove the shine,

00:05:52 ◼   ► you are literally abrading off a layer of plastic.

00:05:55 ◼   ► Okay, so, interrupting briefly, I don't debate

00:05:57 ◼   ► that that's very possibly true, but I'm not like sawing

00:06:01 ◼   ► the keyboard with a magic eraser, like,

00:06:03 ◼   ► just a quick glance with it is more than enough,

00:06:06 ◼   ► and I only do this a handful of times a year, like I think--

00:06:08 ◼   ► - But that is true, though, like that is how the abrasive

00:06:11 ◼   ► in a magic eraser works, you are taking a layer off.

00:06:14 ◼   ► It's just a very small layer

00:06:15 ◼   ► 'cause it's a very fine abrasive.

00:06:16 ◼   ► - But you're also leaving bits of the magic eraser

00:06:18 ◼   ► on your keyboard and going down into the,

00:06:20 ◼   ► I'm still against the magic eraser.

00:06:22 ◼   ► - Yeah, it's not a great option to have to use.

00:06:25 ◼   ► Ideally, you don't need it.

00:06:27 ◼   ► 'Cause you're right, there is some risk of getting

00:06:30 ◼   ► little dots of it stuck in there and jamming up the keys.

00:06:34 ◼   ► Obviously, now that we have a little more robust keyboards

00:06:36 ◼   ► than we used to, that risk is lower, but it is still a risk.

00:06:40 ◼   ► So yeah, you are better off not doing that

00:06:41 ◼   ► if you can help it.

00:06:42 ◼   ► - That's fair.

00:06:43 ◼   ► Continuing back to what Ryan Holmes was writing,

00:06:45 ◼   ► ABS is nice for keycaps because they are easy to double shot,

00:06:48 ◼   ► meaning the letters can be embedded into the key

00:06:50 ◼   ► and won't wear off.

00:06:51 ◼   ► It's a separate layer of plastic molded inside.

00:06:53 ◼   ► This also enables any color combo.

00:06:56 ◼   ► A more durable option is PBT, polybutylene terra--

00:07:00 ◼   ► Oh my gosh, that's all it costs, that's all it wants.

00:07:02 ◼   ► Terra-fith-al-ate, which takes much higher temperatures

00:07:06 ◼   ► to deform, it does not quote unquote shine.

00:07:09 ◼   ► It often has a deeper sound and can be double shot,

00:07:10 ◼   ► but double shotting it is not common

00:07:12 ◼   ► and can involve a blend with ABS.

00:07:14 ◼   ► The more common way to print legends on PBT

00:07:17 ◼   ► is dye sublimation, which involves heat and dye.

00:07:21 ◼   ► The dye embeds into the top layer of the key

00:07:23 ◼   ► so the legends will essentially never wear off.

00:07:25 ◼   ► There is so much lingo here, my word.

00:07:28 ◼   ► I know every interest and profession

00:07:31 ◼   ► has their own vocabulary, but my gosh.

00:07:33 ◼   ► Anyways, it's difficult to get them as crisp

00:07:35 ◼   ► as double shot, however, and they will not

00:07:37 ◼   ► let LEDs glow through.

00:07:39 ◼   ► PBT is also difficult for light legends on dark caps

00:07:42 ◼   ► since the whole cap will need to be dyed

00:07:43 ◼   ► except the legend, which is masked out.

00:07:45 ◼   ► This amount of dyeing involves longer exposure

00:07:47 ◼   ► of the plastic to heat and often deforms larger keys,

00:07:49 ◼   ► most notably space bars.

00:07:50 ◼   ► Cheaper OEM keyboards use other kinds of surface printing

00:07:53 ◼   ► that wears off relatively easily.

00:07:55 ◼   ► So that was way more information than certainly I needed

00:07:57 ◼   ► or wanted to know about keyboards.

00:08:00 ◼   ► - Some background on Apple's keyboards,

00:08:01 ◼   ► so Apple's using ABS, which is the softer plastic.

00:08:04 ◼   ► Apple has used PBT in the past on older laptops

00:08:07 ◼   ► before your time, but back in the day,

00:08:10 ◼   ► the Power Brooks used to come with keyboards

00:08:12 ◼   ► that it was kind of hilarious.

00:08:13 ◼   ► They looked kind of like, I mean,

00:08:15 ◼   ► you've all seen the Apple Extended 2, right,

00:08:17 ◼   ► even if you've never actually touched one,

00:08:18 ◼   ► what those key caps look like.

00:08:19 ◼   ► Imagine those, but imagine you took them into a 3D program

00:08:23 ◼   ► and you squished them so they're not as high, right?

00:08:26 ◼   ► And that's what they made the Power Brook key caps look like.

00:08:28 ◼   ► From the top, it looked like,

00:08:29 ◼   ► "Oh, that's just a regular key."

00:08:30 ◼   ► But then you'd look from the side

00:08:31 ◼   ► and you'd see they were squished out.

00:08:32 ◼   ► Like they had the same kind of like slanted edges,

00:08:35 ◼   ► but just much, much smaller.

00:08:36 ◼   ► I'm pretty sure that back in those days,

00:08:38 ◼   ► the key caps were PBT.

00:08:40 ◼   ► Of course, they weren't backlit,

00:08:41 ◼   ► so that's the whole big thing.

00:08:43 ◼   ► I think all of Apple's keyboards now

00:08:44 ◼   ► on their laptops are backlit.

00:08:45 ◼   ► You can't backlight the PBT

00:08:47 ◼   ► 'cause it doesn't let light through it.

00:08:49 ◼   ► That's why they were talking about having ABS mixed in

00:08:51 ◼   ► because you could let the light go through the ABS part,

00:08:53 ◼   ► like just the letter that's on them or whatever.

00:08:55 ◼   ► But anyway, Apple's key caps on all their modern keyboards

00:08:58 ◼   ► all appear to be the very much softer ABS.

00:09:03 ◼   ► - Anonymous writes, "The backlit keyboard key caps

00:09:05 ◼   ► "on Apple laptops are injection molded in clear plastic.

00:09:08 ◼   ► "They are painted with white paint, then black paint.

00:09:11 ◼   ► "The glyphs are then laser etched using a method

00:09:13 ◼   ► "that removes the black paint, but not the white paint.

00:09:15 ◼   ► "Lastly, a protective clear coat is applied."

00:09:19 ◼   ► Andrew writes, "Your conversation about wear on keyboards

00:09:21 ◼   ► "reminded me of a recent article

00:09:22 ◼   ► "by a British cycling journalist."

00:09:24 ◼   ► Would that be a bikist, Marco?

00:09:25 ◼   ► Is that correct?

00:09:26 ◼   ► A bikist journalist.

00:09:27 ◼   ► - A bikalist.

00:09:28 ◼   ► - (laughs)

00:09:28 ◼   ► Oh my, we're gonna get so much hate mail.

00:09:30 ◼   ► "On the recent demise of his 10-year-old MacBook,

00:09:32 ◼   ► "which had survived an impressive amount of abuse."

00:09:35 ◼   ► You might like to see how worn his most used keys were.

00:09:38 ◼   ► We will put a link in the show notes

00:09:39 ◼   ► and maybe Marco will make this chapter art, maybe, maybe.

00:09:43 ◼   ► Let me tell you, actually, you know what?

00:09:44 ◼   ► I would not advise you to make this chapter art

00:09:46 ◼   ► because this keyboard is fricking horrifying.

00:09:50 ◼   ► Not only is this the ridiculous Tetris key return key,

00:09:53 ◼   ► which I know the British people love,

00:09:55 ◼   ► leaving that monstrosity aside,

00:09:57 ◼   ► this is an abomination.

00:09:59 ◼   ► Look, this is disgusting, this thing.

00:10:01 ◼   ► I can't handle it.

00:10:02 ◼   ► I need to scroll down because this is--

00:10:04 ◼   ► - This is one of many photos that we got.

00:10:05 ◼   ► This is the worst one, obviously.

00:10:06 ◼   ► This is one of many, many, many photos that we got,

00:10:09 ◼   ► most of which were not 10 years old, to be clear,

00:10:11 ◼   ► most of which were much younger laptops.

00:10:14 ◼   ► And if you, you know, to visualize what this picture

00:10:16 ◼   ► looked like, picture an Apple keyboard

00:10:18 ◼   ► with all of its black key caps,

00:10:20 ◼   ► and then have little circles worn through them

00:10:22 ◼   ► at various places, seeing the mechanism beneath,

00:10:26 ◼   ► because as the earlier feedback item said,

00:10:29 ◼   ► Apple's keys are made from clear plastic,

00:10:32 ◼   ► and then they have black paint and white paint over them.

00:10:34 ◼   ► And so this, imagine the keys with the black

00:10:37 ◼   ► and white paint rubbed off,

00:10:39 ◼   ► just showing you the clear plastic.

00:10:41 ◼   ► It's like these little window panes of various sizes,

00:10:43 ◼   ► and you can see where they wore through the black first,

00:10:46 ◼   ► and then the white second, right?

00:10:49 ◼   ► And you see kind of like a terrace pattern

00:10:51 ◼   ► where it's like black, then there's a white ring,

00:10:53 ◼   ► and then there's a clear spot.

00:10:54 ◼   ► And you can tell where this person hit the space bar,

00:10:56 ◼   ► like the one very specific spot all the time.

00:11:00 ◼   ► Yeah, tons of people had this, and you know, again,

00:11:03 ◼   ► the leading theory is pH levels,

00:11:07 ◼   ► either more acidic or more basic, you know,

00:11:10 ◼   ► sweat from their fingers or whatever,

00:11:12 ◼   ► essentially wearing through the paint,

00:11:13 ◼   ► because these are painted clear plastic.

00:11:17 ◼   ► And if they were a PBT, where it was the color

00:11:20 ◼   ► of the plastic instead of being painted,

00:11:22 ◼   ► this wouldn't happen,

00:11:23 ◼   ► but then you couldn't have the backlights

00:11:24 ◼   ► unless you double shot them.

00:11:26 ◼   ► But then there's the, you know,

00:11:27 ◼   ► they're saying like to put the dye on the entire key,

00:11:30 ◼   ► something along here, like the space bar might warp.

00:11:33 ◼   ► So I would say, like, as we mentioned in the last show,

00:11:35 ◼   ► keyboard durability on laptops,

00:11:39 ◼   ► aesthetic durability, not like, you know,

00:11:43 ◼   ► making the keys continue to work,

00:11:44 ◼   ► still seems like an area

00:11:45 ◼   ► where Apple could use some improvement.

00:11:48 ◼   ► I think what they have now is a reasonable-ish compromise,

00:11:50 ◼   ► 'cause they're lightweight, they're fairly sturdy,

00:11:54 ◼   ► they hold up pretty well most of the time,

00:11:56 ◼   ► but if you're one of those people who wears away key caps,

00:11:59 ◼   ► it's a bummer for you,

00:12:01 ◼   ► because you're going to have a worse experience

00:12:03 ◼   ► with this keyboard.

00:12:04 ◼   ► It'll be nice if the keys still work,

00:12:06 ◼   ► and I guess as long as you remember what those letters were

00:12:08 ◼   ► before you wore them off with your fingers, you're fine.

00:12:10 ◼   ► So functionality is job one,

00:12:12 ◼   ► but aesthetic should be somewhere in the top five,

00:12:14 ◼   ► and the current keyboards are failing that

00:12:17 ◼   ► for some subset of Apple's customers.

00:12:20 ◼   ► - This next section is John tries to make Casey feel bad

00:12:23 ◼   ► about liking 14-inch laptops, so I'm just gonna--

00:12:27 ◼   ► - It's not just John.

00:12:28 ◼   ► I mean, if only one of us would've said last episode,

00:12:32 ◼   ► you know, with this amount of power draw,

00:12:35 ◼   ► so much increase from the M1 generation,

00:12:37 ◼   ► maybe the 14-inch might be a bad idea

00:12:40 ◼   ► if you get the max chip,

00:12:42 ◼   ► because it seems like that's a lot of heat

00:12:44 ◼   ► for the 14-inch to quietly and gracefully get rid of

00:12:48 ◼   ► compared to the 16-inch.

00:12:49 ◼   ► - So John, what happened?

00:12:51 ◼   ► - I mean, to be clear, this was true

00:12:53 ◼   ► of the M2 and M1 generations as well,

00:12:55 ◼   ► which is why Marco gave that advice.

00:12:58 ◼   ► But anyway, we'll put a link in the show notes

00:13:01 ◼   ► to a YouTube video where they tested

00:13:02 ◼   ► the M3 Max 14-inch versus 16-inch.

00:13:06 ◼   ► And I think I said on the last show that like,

00:13:07 ◼   ► well, you know, maybe the cooling

00:13:09 ◼   ► should be roughly equivalent,

00:13:11 ◼   ► and the thing that is stuck on top of the M3 Max,

00:13:13 ◼   ► like the little whatever heat spreader thing

00:13:15 ◼   ► that's pulling the heat off, yeah, that part's the same.

00:13:17 ◼   ► Every other part of it is not the same though.

00:13:20 ◼   ► First of all, the heat pipe itself

00:13:21 ◼   ► that's leading away from the SOC,

00:13:23 ◼   ► that heat pipe is wider on the 16-inch.

00:13:25 ◼   ► So right away, there's a difference in the cooling system.

00:13:27 ◼   ► But the big difference is the fans in the 16-inch

00:13:30 ◼   ► are so much bigger fans in the 14-inch.

00:13:33 ◼   ► Like they're really using that extra space to good effect.

00:13:37 ◼   ► It is a dramatic difference in the size of the fans

00:13:39 ◼   ► and obviously the amount of air they can move.

00:13:41 ◼   ► Then the fans are blowing that air over,

00:13:44 ◼   ► you know, these little fin things

00:13:45 ◼   ► that are attached to the heat pipe and there's more of them.

00:13:48 ◼   ► Anyway, in the testing, two big things came out.

00:13:51 ◼   ► First, that 14-inch is going to run the fans

00:13:54 ◼   ► at much higher RPM.

00:13:55 ◼   ► So they did like a Cinebench benchmark

00:13:58 ◼   ► and the 14-inch was running the fans at 7200 RPM

00:14:02 ◼   ► and the 16-inch at 3800.

00:14:03 ◼   ► So it was like double the fan speed.

00:14:05 ◼   ► And obviously, if the fans are running faster,

00:14:07 ◼   ► they're gonna be noisier.

00:14:08 ◼   ► And since the 14-inch fans are smaller,

00:14:10 ◼   ► they're gonna be a little bit more annoying too

00:14:12 ◼   ► because they're higher pitched.

00:14:14 ◼   ► That's not great.

00:14:15 ◼   ► They stabilize fan speed.

00:14:17 ◼   ► I love when they fancy up their benchmarks here.

00:14:20 ◼   ► So the average speed in the Cinebench 2024 GPU test

00:14:25 ◼   ► was 7200 RPMs for the 14-inch, 1700 RPM for the 16-inch.

00:14:30 ◼   ► That's a big difference.

00:14:32 ◼   ► That's as in like, you can hear the fans screaming

00:14:34 ◼   ► the entire time in the 14-inch and on 16-inch,

00:14:37 ◼   ► you probably wouldn't hear anything.

00:14:39 ◼   ► And now Casey may be saying, I don't care about that.

00:14:41 ◼   ► I don't run 3D benchmarks.

00:14:43 ◼   ► I don't care about the average fan speed

00:14:46 ◼   ► over a 10-minute run of some type of thing.

00:14:49 ◼   ► Then they did an Xcode test

00:14:50 ◼   ► and that's really, really hidden Casey where it hurts

00:14:53 ◼   ► 'cause that's the thing that he does do.

00:14:55 ◼   ► And this is not about the fan speed

00:14:57 ◼   ► or about temperatures or anything like that.

00:14:59 ◼   ► This is the fact that all those things

00:15:01 ◼   ► with the fan being higher on the 14-inch

00:15:03 ◼   ► translate to the 14-inch being in more thermal distress

00:15:07 ◼   ► and thermal distress means thermal throttling.

00:15:10 ◼   ► And so this is where the rubber meets the road.

00:15:12 ◼   ► The 14-inch is a little bit slower than the 16-inch

00:15:17 ◼   ► because it thermal throttles when doing Xcode compiles.

00:15:20 ◼   ► Now this is probably a big Xcode compile.

00:15:22 ◼   ► Maybe it's bigger than any of Casey's apps.

00:15:24 ◼   ► Maybe it doesn't affect him or whatever.

00:15:25 ◼   ► And the difference isn't huge.

00:15:26 ◼   ► - Yeah, 'cause this is, it took like almost a minute and a half

00:15:28 ◼   ► to do this compile.

00:15:29 ◼   ► So like if you're doing a very long sustained CPU

00:15:33 ◼   ► or GPU drain, you're gonna hit throttling on the 14-inch.

00:15:38 ◼   ► No question.

00:15:39 ◼   ► Like that's what this is clearly showing.

00:15:40 ◼   ► Like if you are pegging the CPU or GPU for a minute or more,

00:15:45 ◼   ► you are almost certainly gonna see throttling on the 14-inch

00:15:48 ◼   ► that is not present on the 16-inch.

00:15:50 ◼   ► - Yeah, and the Xcode benchmark was 82 seconds

00:15:52 ◼   ► on the 14-inch and 72 on the 16-inch.

00:15:55 ◼   ► So not a huge difference.

00:15:55 ◼   ► Not like the fan speed difference.

00:15:57 ◼   ► I feel like the big quality of life difference

00:15:58 ◼   ► is the fan speeds.

00:15:59 ◼   ► - I mean, that's like an M2 to M3 difference

00:16:01 ◼   ► in performance though.

00:16:02 ◼   ► But again, this is a long sustained one.

00:16:05 ◼   ► Like if my build takes 11 seconds,

00:16:08 ◼   ► it's probably in that span,

00:16:10 ◼   ► I probably wouldn't see the difference

00:16:11 ◼   ► between a 14 and a 16.

00:16:13 ◼   ► But if you're doing builds that take a minute,

00:16:14 ◼   ► you probably will.

00:16:15 ◼   ► - Yeah, so I mean, as the case with all these laptops,

00:16:18 ◼   ► right, it's just a question of how much the cooling system

00:16:23 ◼   ► can fight off the inevitable heat saturation

00:16:27 ◼   ► due to long-range jobs.

00:16:28 ◼   ► It's rare that a laptop, a very high-powered,

00:16:31 ◼   ► top-of-the-line, stuff-to-the-gills laptop,

00:16:34 ◼   ► can sustain its full power for a very long period of time

00:16:36 ◼   ► because the cooling systems usually aren't adequate

00:16:39 ◼   ► to get all that heat out of there to keep up with it.

00:16:41 ◼   ► Especially if you have some contrived,

00:16:43 ◼   ► like CPU maxed out at the same time as GPU maxed out,

00:16:47 ◼   ► the same time as a neural engine maxed out,

00:16:48 ◼   ► the same time as a video encoder matched out.

00:16:50 ◼   ► Like they're not gonna be able to deal with that.

00:16:51 ◼   ► But almost no real job is like that.

00:16:53 ◼   ► That's why the GPU benchmarks are so brutal here

00:16:55 ◼   ► because this was just a benchmark of the GPU

00:16:58 ◼   ► and the fan speeds were 7,000 RPM versus 1,700.

00:17:02 ◼   ► That's not even close.

00:17:03 ◼   ► That's just, they don't,

00:17:05 ◼   ► even just stressing the GPU is enough

00:17:08 ◼   ► to really, really see a difference.

00:17:09 ◼   ► And that's relevant to people playing games.

00:17:11 ◼   ► If you're gonna play games on your laptop,

00:17:13 ◼   ► you're like, I want one of these M series laptops,

00:17:15 ◼   ► so I don't need to hear the fans screaming when I play games.

00:17:19 ◼   ► Get a 16-inch.

00:17:20 ◼   ► You have a fighting chance of making that real

00:17:22 ◼   ► because if you wanna find something

00:17:25 ◼   ► that's gonna really stress the GPU,

00:17:26 ◼   ► yeah, playing a game for a long period of time will do it.

00:17:29 ◼   ► I don't think this means that a case

00:17:31 ◼   ► you should get a 16-inch.

00:17:33 ◼   ► I think the 16-inch is too big as well.

00:17:34 ◼   ► I think the whole point of being portable

00:17:35 ◼   ► is to have something small.

00:17:37 ◼   ► But if you are concerned about sustained performance,

00:17:39 ◼   ► A, don't get a laptop, but B.

00:17:42 ◼   ► - Hey, the 16-inch sustains it just fine.

00:17:44 ◼   ► - Well, no, but the 16-inch eventually heat soaks as well,

00:17:46 ◼   ► especially if you do a CPU plus GPU combo.

00:17:48 ◼   ► These benchmarks are a little bit shorter.

00:17:51 ◼   ► Yeah, and also the other thing they were measuring,

00:17:53 ◼   ► which isn't in any of these graphs in the shots here,

00:17:55 ◼   ► is clock speed.

00:17:55 ◼   ► Like they're just seeing,

00:17:57 ◼   ► are they hitting their rated top clock speed?

00:17:59 ◼   ► And both of these laptops occasionally,

00:18:02 ◼   ► depending on the benchmark,

00:18:03 ◼   ► would never actually achieve their rated top clock speed

00:18:07 ◼   ► or would do it very briefly in the beginning of the test

00:18:09 ◼   ► and then never see it again, right?

00:18:11 ◼   ► So there's always room for improvement, right?

00:18:13 ◼   ► 16-inch versus 14,

00:18:14 ◼   ► doesn't mean the 16-inch never thermal throttles,

00:18:16 ◼   ► it just means it does it less than the 14,

00:18:18 ◼   ► which is why it's coming out ahead in these tests.

00:18:20 ◼   ► - I would say these tests prove my hunch last week

00:18:25 ◼   ► that if you're going for the max chip,

00:18:28 ◼   ► maybe don't get the 14-inch.

00:18:30 ◼   ► Like if you're getting the 14-inch

00:18:32 ◼   ► for like an all-around balance of portability and size,

00:18:35 ◼   ► maybe you're going for the M3 Pro chip,

00:18:38 ◼   ► that's a different story.

00:18:39 ◼   ► It can probably handle that a lot better.

00:18:40 ◼   ► But if you're getting the M3 Max

00:18:43 ◼   ► and you intend to push it at all,

00:18:45 ◼   ► which you probably are if you're getting the Max,

00:18:48 ◼   ► you should be aware of this.

00:18:49 ◼   ► Like this might not change your mind,

00:18:51 ◼   ► but this is something that you should really be aware of,

00:18:52 ◼   ► that the M3 Max seems to be substantially crushing

00:18:57 ◼   ► the 14-inch's thermal system more than the M1 generation did.

00:19:01 ◼   ► The M2 was probably somewhere in the middle

00:19:02 ◼   ► 'cause its power was probably, it was between the two.

00:19:06 ◼   ► But they've ramped up the peak power draw of these chips

00:19:10 ◼   ► compared to previous generations.

00:19:12 ◼   ► The M1 draws less power than the M2.

00:19:15 ◼   ► The M2 draws less power than the M3 Max in all those cases.

00:19:18 ◼   ► And so be aware of that,

00:19:20 ◼   ► that they have raised the power envelope

00:19:23 ◼   ► without increasing the thermal dissipation capacity

00:19:27 ◼   ► significantly.

00:19:28 ◼   ► So if you're coming from a 14-inch M1 Max

00:19:31 ◼   ► and you're thinking, well, it handled my M1 Max

00:19:33 ◼   ► just fine in the 14,

00:19:35 ◼   ► the same can't necessarily apply to the M3 Max.

00:19:38 ◼   ► Like you have to reevaluate

00:19:39 ◼   ► because they're not dropping replacements

00:19:42 ◼   ► in terms of power and thermals.

00:19:43 ◼   ► The M3 Max uses substantially more power

00:19:46 ◼   ► and makes substantially more heat under load

00:19:49 ◼   ► than the M1 Max did.

00:19:50 ◼   ► So that might change your calculus

00:19:53 ◼   ► of whether you want a 14 or a 16.

00:19:56 ◼   ► - I think the cooling system is upgraded a tiny bit

00:19:59 ◼   ► in the M3 generation versus the M2.

00:20:01 ◼   ► I think the heat spreader thingy on the SOC

00:20:03 ◼   ► is a little bit larger in this generation.

00:20:04 ◼   ► And I'm not sure about the fans

00:20:06 ◼   ► if they are exactly the same,

00:20:08 ◼   ► but I don't think it's entirely true

00:20:12 ◼   ► they just use exactly the same cooling system.

00:20:14 ◼   ► Otherwise it would never be able to do it

00:20:15 ◼   ► because the power difference and the 16-inch

00:20:17 ◼   ► comparing the M2 16-inch versus M3 Max 16-inch,

00:20:21 ◼   ► it's a pretty big difference.

00:20:22 ◼   ► The M3 Max is pushing like 50 watts

00:20:24 ◼   ► and the M2 Max was only ever getting like 36 or so.

00:20:27 ◼   ► So there's a lot of extra heat.

00:20:29 ◼   ► - Yeah, and the M1 generation I think was in the 20s.

00:20:31 ◼   ► It's substantially more power and heat here.

00:20:34 ◼   ► And also that also results in a larger difference

00:20:38 ◼   ► between the two models in battery life

00:20:40 ◼   ► than there used to be.

00:20:41 ◼   ► There was always a decent difference

00:20:42 ◼   ► 'cause the 16-inch battery is just much bigger.

00:20:44 ◼   ► And yeah, the screen uses more power

00:20:46 ◼   ► than the 14 'cause it's bigger,

00:20:47 ◼   ► but not that much more power.

00:20:49 ◼   ► So the 16 is still the battery monster.

00:20:51 ◼   ► But in this case, keep in mind,

00:20:54 ◼   ► again, the CPU is drawing more power

00:20:57 ◼   ► than the previous generations

00:20:58 ◼   ► at the same marketing name level.

00:21:00 ◼   ► And also, I don't know how much of a factor this is,

00:21:04 ◼   ► but if those fans are spinning faster,

00:21:07 ◼   ► fans also use power.

00:21:08 ◼   ► So the result after these tests,

00:21:11 ◼   ► the result in this video,

00:21:13 ◼   ► the 14-inch battery was substantially more drained

00:21:17 ◼   ► than the 16-inch.

00:21:17 ◼   ► It was not a small difference.

00:21:19 ◼   ► So again, just don't make assumptions

00:21:22 ◼   ► based on whatever worked for you in the M1 generation.

00:21:25 ◼   ► Don't assume the same thing will work for you

00:21:27 ◼   ► in the M3 generation

00:21:28 ◼   ► because the power levels are very different.

00:21:31 ◼   ► - I understand everything that you guys are saying,

00:21:33 ◼   ► but I don't feel like I'm bumping

00:21:37 ◼   ► into thermal throttling issues anytime

00:21:39 ◼   ► other than when I'm doing transcosos with FFmpeg,

00:21:42 ◼   ► at which case, okay, yeah, I'm reaping what I sowed

00:21:45 ◼   ► or whatever the turn of phrase is.

00:21:46 ◼   ► You know what I'm trying to say.

00:21:48 ◼   ► Okay, that's fine.

00:21:49 ◼   ► The other thing is I didn't want to go down

00:21:52 ◼   ► from 64 gigs of memory.

00:21:53 ◼   ► I probably could have.

00:21:54 ◼   ► And been fine, but I didn't want to.

00:21:57 ◼   ► And in order to do that in this generation,

00:21:59 ◼   ► you have to have an M3 max.

00:22:00 ◼   ► Like that's the end of the meeting.

00:22:01 ◼   ► So in fact, you not only need an M3 max,

00:22:03 ◼   ► you need the baller M3 max.

00:22:05 ◼   ► That's the only, I'm looking at the configurator right now.

00:22:07 ◼   ► It's the only option in the 14.

00:22:09 ◼   ► So if I want 64 gigs, well, guess what?

00:22:12 ◼   ► I'm getting an M3 max.

00:22:13 ◼   ► In fact, the Pro appears to top out at 36 gigs,

00:22:16 ◼   ► which even for me is probably fine,

00:22:19 ◼   ► but I didn't want that.

00:22:21 ◼   ► I wanted 64.

00:22:22 ◼   ► And honestly, I have zero regrets about this machine.

00:22:25 ◼   ► I've been using it at home.

00:22:26 ◼   ► I've been using it away from home.

00:22:28 ◼   ► I freaking love this computer.

00:22:29 ◼   ► And I mean, I freaking love my M1 max as well,

00:22:31 ◼   ► don't get me wrong, but this computer is great.

00:22:33 ◼   ► I haven't heard the fans except one time

00:22:35 ◼   ► when I was doing a transcode.

00:22:36 ◼   ► I have no reason to believe battery life is suffering

00:22:39 ◼   ► compared to the last one.

00:22:40 ◼   ► It's been flawless so far.

00:22:43 ◼   ► I don't argue any of what you guys are saying.

00:22:45 ◼   ► I'm not trying to say that you're wrong or lying

00:22:46 ◼   ► or anything like that.

00:22:47 ◼   ► It's just in real world use,

00:22:49 ◼   ► I am not personally noticing,

00:22:52 ◼   ► not to say it's not affecting me,

00:22:53 ◼   ► but I'm not noticing the results

00:22:55 ◼   ► of any of these problems in the 14.

00:22:57 ◼   ► And for me, and I totally understand, Marco,

00:23:00 ◼   ► why you reached a different conclusion,

00:23:01 ◼   ► but for me, I don't want a freaking aircraft carrier

00:23:04 ◼   ► in my backpack.

00:23:05 ◼   ► And I travel with this machine often enough

00:23:07 ◼   ► that that matters to me.

00:23:09 ◼   ► And so I made the choice I made,

00:23:11 ◼   ► and I think it's the right one for me.

00:23:12 ◼   ► You made the choice you made.

00:23:13 ◼   ► I think it's the right one for you.

00:23:14 ◼   ► And everyone's happy.

00:23:16 ◼   ► Why won't you just let me be happy?

00:23:17 ◼   ► - No, and look, I think it's important to point out

00:23:21 ◼   ► if the 14 inch still worked for you, that's great,

00:23:24 ◼   ► but people who are buying it should know this

00:23:26 ◼   ► ahead of time, that it's going to have these trade-offs,

00:23:29 ◼   ► that the M1 generation of it had fewer trade-offs

00:23:32 ◼   ► compared to the M3 generation.

00:23:34 ◼   ► And if what you are seeking

00:23:36 ◼   ► is the highest performing laptop,

00:23:40 ◼   ► in the M1 generation, you could say,

00:23:41 ◼   ► well, these are basically the same.

00:23:43 ◼   ► Now you can't really say that.

00:23:45 ◼   ► Now the 16 inches is noticeably higher performing

00:23:48 ◼   ► with a lot of workloads.

00:23:49 ◼   ► So it is worth knowing.

00:23:50 ◼   ► Also, again, if stuff like fan noise

00:23:52 ◼   ► is really critical to you, then again,

00:23:55 ◼   ► that's something that's worth knowing ahead of time.

00:23:57 ◼   ► So that's why.

00:23:58 ◼   ► And for many people, they're gonna still get

00:24:00 ◼   ► the 14 inch like you and be totally happy with,

00:24:02 ◼   ► and that's great.

00:24:03 ◼   ► But again, you gotta know going into it,

00:24:06 ◼   ► the assumptions that you might have made

00:24:07 ◼   ► from previous generations of the M series laptops

00:24:10 ◼   ► are a little bit different now.

00:24:12 ◼   ► - I do wonder if there's not a low tech solution to this,

00:24:15 ◼   ► with the memory target, a little RGB fan cooler thing

00:24:18 ◼   ► on the back of your phone to get sustained frame rates.

00:24:21 ◼   ► - Just get some giant plate.

00:24:22 ◼   ► - Yeah, like I know they make laptop cooler type things,

00:24:25 ◼   ► but I do wonder.

00:24:26 ◼   ► - They're really quiet and elegant.

00:24:28 ◼   ► - Yeah, right.

00:24:29 ◼   ► But I do wonder if you say you get a 14 inch

00:24:31 ◼   ► and you wanna use it in desktop mode

00:24:32 ◼   ► and you don't want it to thermal throttle,

00:24:33 ◼   ► just how much extra cooling would it take?

00:24:35 ◼   ► Probably not that much.

00:24:36 ◼   ► Like, and probably could be applied externally.

00:24:38 ◼   ► I don't, you know, again, the caveats about condensation

00:24:40 ◼   ► and don't destroy your computer and blah, blah, blah,

00:24:42 ◼   ► whatever, but like based on how well it works

00:24:44 ◼   ► on the little phone thing to sort of sustain frame rates

00:24:47 ◼   ► when the phone could not do it without the cooler,

00:24:49 ◼   ► I do wonder if just a little bit of extra help

00:24:51 ◼   ► on a 14 inch would help it not thermal throttle at all,

00:24:54 ◼   ► because it's, you know, it's,

00:24:55 ◼   ► the fans are almost doing the job

00:24:57 ◼   ► 'cause yeah, the fan speed difference is huge.

00:24:59 ◼   ► Those fans are working overtime, right?

00:25:00 ◼   ► But the benchmark difference is not that big.

00:25:03 ◼   ► So it's like the 14 inches cooling system is overmatched,

00:25:07 ◼   ► but just by a little bit.

00:25:08 ◼   ► So I wonder if you just gave it a little bit of help,

00:25:10 ◼   ► which is unlike lots of other computer things.

00:25:11 ◼   ► Like, oh, I didn't get enough cores.

00:25:13 ◼   ► Well, there's not really anything you can do

00:25:14 ◼   ► to add more cores to your computer,

00:25:15 ◼   ► but if thermal throttling is your problem,

00:25:18 ◼   ► pointing a fan at the back of your laptop

00:25:20 ◼   ► when it's like sitting upright, you know,

00:25:22 ◼   ► like in a bookshelf type thing might be enough.

00:25:24 ◼   ► - One potential limitation there is,

00:25:27 ◼   ► remember we learned this from people who wrote in

00:25:29 ◼   ► like a couple of years ago, this came up

00:25:32 ◼   ► where we were talking about like the MacBook Air

00:25:33 ◼   ► thermal design without any fan,

00:25:35 ◼   ► that like there are certain standards

00:25:37 ◼   ► that different, you know, governments and things set

00:25:40 ◼   ► about how hot the outside of a laptop can get

00:25:44 ◼   ► for safety reasons.

00:25:45 ◼   ► And so the way these are designed,

00:25:48 ◼   ► usually the processor is not like heat pipe

00:25:53 ◼   ► directly to the exterior case.

00:25:55 ◼   ► Like there's usually some kind of air gap there

00:25:57 ◼   ► so that the processor is intentionally not

00:26:01 ◼   ► transferring its heat much to the metal case.

00:26:05 ◼   ► And because of that, it actually makes it difficult

00:26:08 ◼   ► to make external coolers that are very effective

00:26:11 ◼   ► because you're not getting all that heat away

00:26:14 ◼   ► from the chip through the case very much.

00:26:16 ◼   ► It's mostly dumping it into the air.

00:26:18 ◼   ► So it's a little bit harder.

00:26:20 ◼   ► So you couldn't, for instance, just stick like

00:26:22 ◼   ► a Peltier Element cooler on the back of a laptop

00:26:24 ◼   ► and have it be--

00:26:25 ◼   ► - Oh, sure you could.

00:26:26 ◼   ► You just need a temperature differential.

00:26:29 ◼   ► And one exists.

00:26:29 ◼   ► I mean, feel the bottom of a laptop

00:26:31 ◼   ► when it's hard working.

00:26:32 ◼   ► I know what you're saying, like not all the heat

00:26:33 ◼   ► is being dumped out there, but there's still

00:26:34 ◼   ► a temperature differential.

00:26:35 ◼   ► Like that's a test that someone should try.

00:26:37 ◼   ► Like just consider that.

00:26:38 ◼   ► I guess the reverse of it is like,

00:26:41 ◼   ► if you're doing some sustained workload with your laptop,

00:26:43 ◼   ► don't throw it on your bed on top of your comforter.

00:26:45 ◼   ► Like don't, you know what I mean?

00:26:47 ◼   ► Like, you see how kids cheap laptops,

00:26:49 ◼   ► they have no idea that these are like

00:26:50 ◼   ► living, breathing things, right?

00:26:51 ◼   ► It's a little empathy for the machine here.

00:26:53 ◼   ► Don't take your laptop and just put it on a big,

00:26:55 ◼   ► soft pillow surrounded by blankets.

00:26:57 ◼   ► Like it needs, you need to get it with the lid closed,

00:27:00 ◼   ► of course, right?

00:27:01 ◼   ► - Naturally.

00:27:02 ◼   ► - Give it a fighting chance.

00:27:04 ◼   ► - Yeah, and just as a final note,

00:27:06 ◼   ► 'cause I'd like to move on,

00:27:07 ◼   ► I feel like there's a lot of FUD going around right now.

00:27:11 ◼   ► These, I really don't subscribe,

00:27:15 ◼   ► I don't have any anecdotal data

00:27:17 ◼   ► that indicates that this problem

00:27:18 ◼   ► is any worse with this generation

00:27:20 ◼   ► than it was with my two year old laptop.

00:27:21 ◼   ► Like yes, again, I'm not trying to argue

00:27:23 ◼   ► that the facts that you're presenting to me are wrong.

00:27:26 ◼   ► All I'm trying to say is that in day to day use,

00:27:29 ◼   ► I straight up do not hear the fans.

00:27:31 ◼   ► So yes, in the occasion that I can hear the fans,

00:27:34 ◼   ► yes, they probably are faster,

00:27:36 ◼   ► they probably are more annoying, they're probably louder.

00:27:39 ◼   ► I don't debate that,

00:27:40 ◼   ► but I feel like we're making a problem out of nothing here.

00:27:43 ◼   ► This machine is phenomenal.

00:27:45 ◼   ► If you want a desktop replacement

00:27:48 ◼   ► that you occasionally move, 100% get the 16, no argument.

00:27:51 ◼   ► But if you want a computer that you move occasionally,

00:27:53 ◼   ► and you favor that, you know,

00:27:56 ◼   ► the ease of moving it over anything else,

00:27:58 ◼   ► which is where I am, get the 14.

00:28:00 ◼   ► Don't let these two knuckleheads

00:28:02 ◼   ► try to convince you otherwise.

00:28:03 ◼   ► It's a perfectly good computer.

00:28:05 ◼   ► There's no need to, there's no need to--

00:28:06 ◼   ► - I'm not trying to convince, I also agree.

00:28:07 ◼   ► I think the 16 is just too big for a laptop,

00:28:09 ◼   ► and really you should just get a desktop anyway.

00:28:11 ◼   ► - Oh my God, it's so good, it's so good.

00:28:13 ◼   ► The 16 is so good.

00:28:15 ◼   ► There's basically no trade off, except it is large.

00:28:20 ◼   ► But again, when you look at, I mean, we are so spoiled now.

00:28:24 ◼   ► The 16 inch MacBook Pro is lighter

00:28:28 ◼   ► than most 15 inches of most of our computing using careers.

00:28:34 ◼   ► And it is 16 only because they made the bezel smaller.

00:28:38 ◼   ► So the footprint is roughly 15 inch class

00:28:41 ◼   ► that we've had forever.

00:28:42 ◼   ► The weight is similar or lighter

00:28:45 ◼   ► than most 15 inch class laptops we've ever used.

00:28:48 ◼   ► It is glorious.

00:28:49 ◼   ► I'm not gonna argue that the 14 inch

00:28:51 ◼   ► isn't noticeably smaller, and lighter it is.

00:28:54 ◼   ► It is noticeably smaller and lighter.

00:28:56 ◼   ► I would maybe argue that if that's really your top priority,

00:29:01 ◼   ► maybe consider the Air.

00:29:03 ◼   ► But the 16 inch, again, it's all relative.

00:29:07 ◼   ► Yes, it is larger and heavier than yours,

00:29:10 ◼   ► but compared to anything ever in the history of computing,

00:29:14 ◼   ► these are all very thin and light, and it's fine.

00:29:17 ◼   ► And even like, again, when you're looking at,

00:29:19 ◼   ► suppose you're putting it in a backpack

00:29:21 ◼   ► and bringing it to wherever.

00:29:23 ◼   ► The weight of your backpack empty is probably a few pounds.

00:29:28 ◼   ► Like, it depends on what kind of bag you have.

00:29:29 ◼   ► The weight of your total carry

00:29:32 ◼   ► of what most people bring around in their backpacks every day

00:29:35 ◼   ► may be 10 or 15 pounds.

00:29:37 ◼   ► And so the difference in laptop weight

00:29:39 ◼   ► of like a one pound difference between two things--

00:29:42 ◼   ► - That's fair.

00:29:43 ◼   ► - Is not really that significant.

00:29:44 ◼   ► It feels significant when it's in your hand,

00:29:47 ◼   ► but like however you are carrying it,

00:29:49 ◼   ► generally speaking for most people,

00:29:51 ◼   ► the difference between a 16 inch MacBook Pro

00:29:53 ◼   ► and a 14 inch MacBook Pro, being like a pound or whatever,

00:29:56 ◼   ► is not a massive difference

00:29:58 ◼   ► in whatever they're carrying it in total.

00:30:01 ◼   ► So again, if it matters to you

00:30:03 ◼   ► and if you really still wanna minimize it, great.

00:30:05 ◼   ► I get that, please do.

00:30:07 ◼   ► But these are trade-offs that you should be aware of.

00:30:10 ◼   ► Despite what you said, Casey,

00:30:12 ◼   ► they weren't as severe of trade-offs in the M1 generation

00:30:15 ◼   ► because the total power usage of the M1 chips was way lower.

00:30:20 ◼   ► Like, rather the peak power usage, like under load.

00:30:23 ◼   ► The peak power usage was way lower in the M1 generation

00:30:25 ◼   ► than it is in the M3 generation.

00:30:26 ◼   ► So that is a difference that is worth noting.

00:30:29 ◼   ► And before, again, with the M1 generation,

00:30:34 ◼   ► you could say these computers

00:30:35 ◼   ► are basically the exact same computer,

00:30:37 ◼   ► just bigger and smaller.

00:30:38 ◼   ► And now that's a little harder to say.

00:30:40 ◼   ► There's a much bigger asterisk on that now.

00:30:42 ◼   ► - So let's talk about chip packaging.

00:30:44 ◼   ► Johnny Srouji had an interview in July

00:30:47 ◼   ► with his alma mater who is a college that's,

00:30:50 ◼   ► the name is escaping me, it was somewhere in Israel.

00:30:53 ◼   ► And he went back there and did an interview

00:30:55 ◼   ► with somebody there and talked a bit about chip packaging.

00:30:59 ◼   ► John, do you wanna either intro this or read it to me

00:31:02 ◼   ► or tell me how you wanna handle this?

00:31:04 ◼   ► - Yeah, so this is the interview

00:31:05 ◼   ► that I referenced on a past show

00:31:07 ◼   ► where I figured we're talking about,

00:31:09 ◼   ► we're talking about three-nanometer processes

00:31:10 ◼   ► or stuff like that.

00:31:11 ◼   ► But anyway, I've said that Apple executives

00:31:13 ◼   ► won't reveal anything about future products, obviously,

00:31:15 ◼   ► but anytime one of them talks,

00:31:16 ◼   ► they'll usually say something that lets you know

00:31:19 ◼   ► some vague future direction.

00:31:21 ◼   ► And in the interview, Johnny Srouji said

00:31:24 ◼   ► that he thought that packaging was a potential area

00:31:27 ◼   ► of innovation, and I wanted to follow up on that today

00:31:30 ◼   ► to first provide the excerpt from the interview

00:31:34 ◼   ► because the whole blah, blah, blah is interesting

00:31:36 ◼   ► is I think that was like Tim Cook saying

00:31:37 ◼   ► the wrist is interesting or some BS like that.

00:31:39 ◼   ► And whatever the quote from Jobs

00:31:42 ◼   ► when he was talking about cell phones was similar,

00:31:44 ◼   ► that's how we all knew Apple was making a phone.

00:31:46 ◼   ► So I just wanted to get the actual words

00:31:48 ◼   ► that he said about packaging

00:31:50 ◼   ► because there was also recently an interview

00:31:54 ◼   ► of Intel CEO, Pat Gelsinger

00:31:57 ◼   ► with Ben Thompson of Stratechery,

00:32:00 ◼   ► or Strateecery, however you wanna pronounce it,

00:32:02 ◼   ► where the Intel CEO talked about, you guessed it,

00:32:07 ◼   ► packaging and how important it is to Intel

00:32:10 ◼   ► and for the future.

00:32:11 ◼   ► And so I feel like this is a confluence of events

00:32:13 ◼   ► that's worth digging into deeper,

00:32:14 ◼   ► even if this, as we said in the past episode,

00:32:17 ◼   ► of this generation, it just looks like the M3

00:32:18 ◼   ► is gonna be, M3 Ultra is just gonna be two M3 Maxes

00:32:22 ◼   ► stuck together just like it was before,

00:32:23 ◼   ► which is fine and great and it'll be awesome,

00:32:25 ◼   ► but keep your eye on the future for packaging stuff.

00:32:27 ◼   ► So yeah, Casey, you just wanna go through

00:32:29 ◼   ► the interview segment thing.

00:32:30 ◼   ► - Sure, so how about I'll play the role of the interviewer

00:32:33 ◼   ► and you can play the role of Johnny Cerusci.

00:32:35 ◼   ► - Sure, give me the longer one.

00:32:36 ◼   ► - Yeah, well, all right, fine, you know what?

00:32:37 ◼   ► I'll take one. - I don't know if we can play.

00:32:38 ◼   ► We can play acted.

00:32:39 ◼   ► If we get Marco to be mixed in, he could be the announcer.

00:32:42 ◼   ► - Oh gosh, all right, so you be the interviewer,

00:32:44 ◼   ► I will be Johnny.

00:32:45 ◼   ► Let's do it that way. - Well, you don't need

00:32:46 ◼   ► two people to read them.

00:32:47 ◼   ► We don't need to, you can just be one person.

00:32:48 ◼   ► - Play with me in the space, John, come on.

00:32:50 ◼   ► Are you really just gonna leave me hanging like this?

00:32:53 ◼   ► - Jesus, wow. - I forgot, is it my line?

00:32:55 ◼   ► - Yes, it's you. - Line?

00:32:56 ◼   ► - Line. - We're actually doing this?

00:32:59 ◼   ► - Yes, yes, you are the interviewer, John.

00:33:01 ◼   ► - All right, this is the interviewer.

00:33:03 ◼   ► What are the next challenges in the design

00:33:05 ◼   ► and architecture of processors that Apple should tackle

00:33:07 ◼   ► to get to the real next generation of processing?

00:33:09 ◼   ► This is where the interviewer starts asking questions

00:33:11 ◼   ► like they shouldn't ask or they know

00:33:12 ◼   ► that I'm gonna get the answer.

00:33:13 ◼   ► What's the next challenge?

00:33:16 ◼   ► What should they tackle to get to the real next generation?

00:33:18 ◼   ► I'm not asking a question about the future,

00:33:20 ◼   ► but I totally am.

00:33:21 ◼   ► Anyway, here's what Johnny Srdi said.

00:33:23 ◼   ► - It is getting more and more challenging.

00:33:24 ◼   ► Those of you who follow CMOS technology,

00:33:26 ◼   ► whether it's five nanometer or beyond,

00:33:28 ◼   ► that's getting harder and harder, which I think is great,

00:33:31 ◼   ► by the way, because if it gets harder,

00:33:33 ◼   ► that means Apple will try better and better, so that's good.

00:33:37 ◼   ► I'm not going to describe our future roadmap,

00:33:40 ◼   ► but there are many challenges.

00:33:41 ◼   ► For example, when you take CMOS technology,

00:33:43 ◼   ► I think one of the things that is going to be important

00:33:44 ◼   ► is packaging without getting into details.

00:33:47 ◼   ► So the way you package the chip is going to be important,

00:33:50 ◼   ► or maybe you architect the chip in a different way.

00:33:52 ◼   ► - And I know you think like, that's saying nothing.

00:33:55 ◼   ► What are you talking about?

00:33:55 ◼   ► This was the quote?

00:33:56 ◼   ► Yeah, they don't say a lot,

00:33:58 ◼   ► but the fact that they say anything about anything,

00:34:01 ◼   ► oh, packaging, just that word, packaging,

00:34:04 ◼   ► what does that mean?

00:34:05 ◼   ► I mean, again, Apple already does interesting things

00:34:07 ◼   ► with packaging.

00:34:08 ◼   ► The silicon interposer is an interesting thing

00:34:09 ◼   ► done with packaging, and we've talked a lot

00:34:11 ◼   ► about packaging technology in the past,

00:34:12 ◼   ► but this is the tiny tidbit they left.

00:34:15 ◼   ► Maybe you architect your chip a different way.

00:34:17 ◼   ► Packaging is interesting.

00:34:19 ◼   ► I do like these typical Apple bravado,

00:34:23 ◼   ► where they said, oh, the world of silicon,

00:34:27 ◼   ► it's getting more and more difficult,

00:34:28 ◼   ► and that's great for Apple,

00:34:29 ◼   ► because when things get hard, we will excel.

00:34:32 ◼   ► That'll make us try harder, 'cause we're the best,

00:34:34 ◼   ► and basically bring it on, because the harder it gets,

00:34:36 ◼   ► the more you'll see that Apple is the best,

00:34:38 ◼   ► which is great for him to say.

00:34:40 ◼   ► We'll see if it actually turns out to be true

00:34:42 ◼   ► how the cell modem's going, Johnny.

00:34:44 ◼   ► I thought that was some top-tier Apple executive

00:34:51 ◼   ► bragging in this interview, but anyway,

00:34:52 ◼   ► that's what he said about packaging.

00:34:53 ◼   ► He just dropped the word packaging,

00:34:55 ◼   ► so now here is the Intel CEO, Pat Gelsinger,

00:34:58 ◼   ► also talking about packaging.

00:34:59 ◼   ► - So I will be playing the role of Pat Gelsinger

00:35:01 ◼   ► in this one, since that's the longer one.

00:35:04 ◼   ► Gelsinger says, this idea of chiplets, I think,

00:35:07 ◼   ► is the new way that all chips get designed,

00:35:09 ◼   ► the idea of advanced packaging, multiple chips

00:35:11 ◼   ► into the advanced package, and whether that's an MCP,

00:35:14 ◼   ► or multi-chip packaging, whether that's a two-and-a-half

00:35:16 ◼   ► or 3D construction, I do think that becomes the standard.

00:35:19 ◼   ► - And this is Ben Thompson.

00:35:20 ◼   ► The interviewer was saying,

00:35:21 ◼   ► why is advanced packaging the future?

00:35:23 ◼   ► You can see, you can ask Intel questions about the future.

00:35:26 ◼   ► I know this has been a big focus for Intel.

00:35:28 ◼   ► It's something that you wanna talk about,

00:35:29 ◼   ► and from everything I know,

00:35:30 ◼   ► your technology is leading the way.

00:35:31 ◼   ► Why is that so important,

00:35:32 ◼   ► in addition to the traditional Moore's Law?

00:35:34 ◼   ► Why do we need to start stacking these chiplets?

00:35:37 ◼   ► Give me the top reasons.

00:35:38 ◼   ► So this, Ben is asking a good question here,

00:35:40 ◼   ► which is like, of all the things, the problems Intel has,

00:35:43 ◼   ► and you can read the full interview,

00:35:44 ◼   ► he's interviewed the new Intel CEO a few times,

00:35:48 ◼   ► Intel's got some problems.

00:35:49 ◼   ► They fell behind, they're getting beat

00:35:51 ◼   ► in the fab business by TSMC.

00:35:52 ◼   ► Why in the world is Intel carrying anything about packaging?

00:35:55 ◼   ► And more importantly, why is Intel putting tons of money

00:35:58 ◼   ► into innovations in packaging?

00:36:00 ◼   ► And so he's asking like, what's the deal?

00:36:02 ◼   ► Give me the top reasons for the whole focus on packaging.

00:36:06 ◼   ► - One is, now you're able to take

00:36:07 ◼   ► the performance-sensitive transistors,

00:36:09 ◼   ► and move them to the leading edge node,

00:36:11 ◼   ► but leverage some other technologies for other things.

00:36:14 ◼   ► So you get to mix and match technologies more efficiently,

00:36:16 ◼   ► effectively this way.

00:36:18 ◼   ► Jon, would you like to jump in,

00:36:19 ◼   ► and explain what I, Pat Gelsinger, just said?

00:36:21 ◼   ► - Yeah, so this is part of Intel's problem,

00:36:23 ◼   ► is they, you know, their fabs fell behind.

00:36:27 ◼   ► They couldn't get off of whatever,

00:36:28 ◼   ► or were they stuck on 14 nanometer for ages, right?

00:36:31 ◼   ► And TSMC went ahead of them,

00:36:33 ◼   ► and has been ahead since then.

00:36:35 ◼   ► And so they're like, look, we know at Intel

00:36:38 ◼   ► we have some fab problems.

00:36:39 ◼   ► In fact, Intel is paying TSMC to fab a bunch of its stuff.

00:36:43 ◼   ► They're saying, one of the things that we can do

00:36:45 ◼   ► by breaking the chips up into smaller individual pieces,

00:36:48 ◼   ► is get the most important parts to be fabbed by TSMC,

00:36:53 ◼   ► not by us, on like the good process node,

00:36:57 ◼   ► and then use other lesser fabs, like Intel's fabs,

00:37:01 ◼   ► to fab the parts of the chip where it doesn't matter as much.

00:37:04 ◼   ► So if you're Intel, you don't wanna pay TSMC to,

00:37:07 ◼   ► and Intel, you can read all about it in Ben's coverage,

00:37:09 ◼   ► but Intel is trying to split where they're like,

00:37:11 ◼   ► we're gonna have a fabbing part of the company,

00:37:13 ◼   ► and then we're gonna have the chip design part

00:37:14 ◼   ► of the company, and we're gonna pretend

00:37:15 ◼   ► like they're separate.

00:37:16 ◼   ► So the fabbing part is way behind and needs to catch up,

00:37:19 ◼   ► but the part that owns like x86 and makes the chips,

00:37:21 ◼   ► we think that's good.

00:37:22 ◼   ► So, you know, they're using TSMC,

00:37:24 ◼   ► but they don't wanna have US TSMC for everything.

00:37:26 ◼   ► That would get very expensive.

00:37:27 ◼   ► Intel's big advantage is they fab their own chips,

00:37:30 ◼   ► and they design their own chips,

00:37:31 ◼   ► their vertical integration, everything.

00:37:33 ◼   ► So like, this is why, one reason why packaging is important,

00:37:37 ◼   ► Intel can pay the minimum amount required

00:37:39 ◼   ► to the company with the good fabs

00:37:41 ◼   ► to make the part of the chip where it's most important

00:37:44 ◼   ► for it to be on the top process level,

00:37:47 ◼   ► and then they can use cheaper stuff for the other parts.

00:37:50 ◼   ► - Second, we can actually compose the chiplets

00:37:52 ◼   ► to more appropriate die sizes

00:37:54 ◼   ► to maximize defect density as well.

00:37:57 ◼   ► If you have a monster server die,

00:37:58 ◼   ► you're going to be dictated to be N minus two, N minus three,

00:38:02 ◼   ► just because of the monster die size.

00:38:04 ◼   ► I get to carve up that server chip.

00:38:05 ◼   ► I get to move the advanced nodes per computing more rapidly

00:38:09 ◼   ► and not be subject to some of the issues,

00:38:11 ◼   ► defect density early in the life

00:38:12 ◼   ► of a new process technology.

00:38:15 ◼   ► - So this is about Intel, setting aside SOCs,

00:38:18 ◼   ► where it's a whole bunch of stuff on a big giant,

00:38:20 ◼   ► it's a system on a chip.

00:38:21 ◼   ► They're giant server chips,

00:38:23 ◼   ► like the huge, like, 56-core Xeon things,

00:38:25 ◼   ► they're just a single, gigantic chip,

00:38:28 ◼   ► and you have to fab that in a single,

00:38:30 ◼   ► it's fabbed in a single die.

00:38:31 ◼   ► And if some part of that screws up,

00:38:33 ◼   ► like, the more area you start covering on the silicon wafer,

00:38:35 ◼   ► the more stuff you put there, the more chances

00:38:37 ◼   ► there's going to be some error,

00:38:38 ◼   ► and you might have to throw out the whole chip.

00:38:40 ◼   ► And so this is another advantage to packaging,

00:38:43 ◼   ► is like, if you just make it out of smaller parts,

00:38:46 ◼   ► A, if it's bad, you're only throwing away

00:38:48 ◼   ► like a smaller area of your wafer,

00:38:50 ◼   ► you don't have to throw away this huge square,

00:38:52 ◼   ► you throw out the little square,

00:38:52 ◼   ► and B, your defect density can be lower.

00:38:55 ◼   ► He says maximizing defect density,

00:38:56 ◼   ► but whatever, he meant minimizing.

00:38:58 ◼   ► That you'll get more of those littler things that you fab

00:39:02 ◼   ► will come off the line and be completely error-free,

00:39:04 ◼   ► whereas trying to just get a single error-free

00:39:06 ◼   ► humongous Xeon is difficult.

00:39:09 ◼   ► SRAMs in particular, SRAM scaling will become

00:39:11 ◼   ► a bigger and bigger issue going forward.

00:39:13 ◼   ► So I actually don't get benefit by moving a lot of my cache

00:39:16 ◼   ► to the next generation node,

00:39:18 ◼   ► like I do for logic, power, and performance.

00:39:20 ◼   ► I actually want to have a 3D construct

00:39:21 ◼   ► where I have lots of cache and a base die,

00:39:24 ◼   ► and put the advanced computing on top of it

00:39:25 ◼   ► into a 3D sandwich.

00:39:27 ◼   ► And now you get the best of a cache architecture

00:39:29 ◼   ► and the best of the next generation of Moore's law.

00:39:31 ◼   ► So it actually creates a much more effective

00:39:33 ◼   ► architectural model in the future.

00:39:35 ◼   ► Additionally, generally, you're struggling

00:39:36 ◼   ► with the power, performance, and speed of light

00:39:38 ◼   ► between chips.

00:39:40 ◼   ► - Yes, this whole technique,

00:39:41 ◼   ► this is a particular technology that Intel has advanced with

00:39:43 ◼   ► which lets them take power and feed it

00:39:46 ◼   ► through the layers of the sandwich

00:39:48 ◼   ► in a more efficient way to get to precisely

00:39:50 ◼   ► where they want it.

00:39:51 ◼   ► I think that's what they're referring to here.

00:39:52 ◼   ► The sandwiching isn't just because of that,

00:39:54 ◼   ► but Intel has an innovative way to send power

00:39:57 ◼   ► up to the bottom of the chip

00:39:58 ◼   ► instead of sending it through the top,

00:39:59 ◼   ► because when you send it through the top,

00:40:00 ◼   ► you gotta weave it around a bunch of obstacles

00:40:02 ◼   ► where you send it through the bottom.

00:40:03 ◼   ► There's nothing in the way

00:40:04 ◼   ► because you make these layered sandwiches or whatever.

00:40:06 ◼   ► That's what that's talking about.

00:40:07 ◼   ► And SRAM is like, look,

00:40:08 ◼   ► the SRAM is what we were talking about before

00:40:10 ◼   ► with the GPU RAM that was being shared better

00:40:14 ◼   ► with dynamic caching.

00:40:15 ◼   ► That's it's faster than the RAM that's out under RAM chips,

00:40:20 ◼   ► like your main memory,

00:40:21 ◼   ► but it's not the same as registers.

00:40:22 ◼   ► It's kind of in between there.

00:40:23 ◼   ► It's like very expensive RAM

00:40:25 ◼   ► or each a little bit of RAM

00:40:27 ◼   ► takes a large number of transistors,

00:40:28 ◼   ► but it's much faster than regular RAM and it's in the CPU.

00:40:32 ◼   ► And I say, I'm like, you don't get any benefit

00:40:33 ◼   ► of doing that on three nanometers.

00:40:34 ◼   ► So not only do you not want to waste money doing it

00:40:36 ◼   ► because it would be more expensive,

00:40:37 ◼   ► you don't get benefit from doing it anyway.

00:40:39 ◼   ► So keep that on a different lower process

00:40:41 ◼   ► and then sandwich it all together.

00:40:43 ◼   ► - Any other questions for me, Ben?

00:40:45 ◼   ► - Yeah, I'm Ben again.

00:40:45 ◼   ► All right, so how do you solve that with chiplets

00:40:48 ◼   ► when they're no longer on the same die?

00:40:50 ◼   ► - In the chiplet construct,

00:40:51 ◼   ► we're going to be able to put tens of thousands

00:40:53 ◼   ► of bond connections between different chiplets

00:40:55 ◼   ► inside of an advanced package.

00:40:57 ◼   ► So you're going to be able to have very high bandwidth,

00:40:58 ◼   ► low latency, low power consumption interfaces

00:41:00 ◼   ► between chiplets.

00:41:01 ◼   ► It also becomes very economical for design cycles.

00:41:04 ◼   ► Hey, I can design a chiplet with this IO

00:41:06 ◼   ► and use it for multiple generations.

00:41:08 ◼   ► - And you can see how all the stuff that I just described

00:41:11 ◼   ► would be appealing to Apple.

00:41:13 ◼   ► Apple's already making SOCs,

00:41:15 ◼   ► which are essentially single dies system on the chips

00:41:19 ◼   ► that have a bunch of stuff in them.

00:41:20 ◼   ► And they're getting pretty big.

00:41:21 ◼   ► That's part of the reason the ultras have been two maxes

00:41:25 ◼   ► weaved together with the Silicon Interposer,

00:41:27 ◼   ► rather than just being a single large chip

00:41:29 ◼   ► the size of an ultra,

00:41:31 ◼   ► because that would be even more expensive to manufacture.

00:41:33 ◼   ► It's also probably part of the reason

00:41:35 ◼   ► we didn't have the quad, right?

00:41:36 ◼   ► So Apple would love the idea

00:41:38 ◼   ► that you could take subunits of this,

00:41:41 ◼   ► like the thing that does IO or whatever,

00:41:43 ◼   ► and reuse that between generations,

00:41:46 ◼   ► because between generations, like, yo,

00:41:48 ◼   ► it's what over run now,

00:41:49 ◼   ► Thunderbolt 3, Thunderbolt 4,

00:41:51 ◼   ► that lasts a couple of generations.

00:41:52 ◼   ► I think both the M2 and the M3

00:41:54 ◼   ► have the same speed Thunderbolt interface.

00:41:56 ◼   ► So if that was in a separate chiplet,

00:41:57 ◼   ► you can just reuse that one from before on the future chip.

00:42:01 ◼   ► And that could still be seven nanometer, for example.

00:42:03 ◼   ► I don't know if this is the right part of the chip

00:42:05 ◼   ► to be reused, but you can design it once

00:42:07 ◼   ► and reuse that little sub chiplet in future generations,

00:42:11 ◼   ► as long as you can do an interconnect between all of these

00:42:13 ◼   ► that has all the attributes,

00:42:14 ◼   ► the subscribe low latency, blah, blah, blah.

00:42:16 ◼   ► So far, Apple's packaging innovation has been the Interposer,

00:42:19 ◼   ► which is technically impressive,

00:42:20 ◼   ► and it makes the ultra possible.

00:42:22 ◼   ► But this is more like a more general purpose thing

00:42:24 ◼   ► of like lots of different little, you know,

00:42:27 ◼   ► a city of chips,

00:42:28 ◼   ► lots of different little islands on your chip

00:42:30 ◼   ► to even to just make what Apple does currently

00:42:32 ◼   ► in a single SoC,

00:42:32 ◼   ► and that can make things less expensive

00:42:34 ◼   ► and improve your yields as well.

00:42:37 ◼   ► - And then you want to tell me

00:42:38 ◼   ► about the Universal Chiplet Interconnect Express.

00:42:40 ◼   ► Is that a train, Jon?

00:42:42 ◼   ► - UCI and then lowercase E.

00:42:44 ◼   ► So this is one of these multi company consortiums

00:42:49 ◼   ► to do exactly what we were just describing.

00:42:51 ◼   ► So this is a press release from March 2nd, 2022.

00:42:54 ◼   ► It says Intel,

00:42:55 ◼   ► along with advanced semiconductor engineering,

00:42:57 ◼   ► AMD, ARM, Google Cloud, Meta, Microsoft, Qualcomm,

00:43:00 ◼   ► Samsung, and TSMC have announced the establishment

00:43:03 ◼   ► of an industry consortium

00:43:04 ◼   ► to promote an open die-to-die interconnect standard

00:43:07 ◼   ► called Universal Chiplet Interconnect Express or UCIE.

00:43:10 ◼   ► The chiplet ecosystem created by UCIE is a critical step

00:43:12 ◼   ► in the creation of a unified standard

00:43:14 ◼   ► for interoperable chiplets,

00:43:16 ◼   ► which will ultimately allow for next generation

00:43:17 ◼   ► of technological innovations.

00:43:19 ◼   ► Apple's not on that list, but TSMC is,

00:43:21 ◼   ► and Apple has a good relationship with them.

00:43:24 ◼   ► So if we're looking towards a future

00:43:26 ◼   ► where it becomes untenable to continue making larger

00:43:30 ◼   ► and larger dies, you know,

00:43:32 ◼   ► with everything on them and these SOCs,

00:43:34 ◼   ► a good industry standard system for making chiplets

00:43:39 ◼   ► at whatever the most economical and useful size is

00:43:43 ◼   ► and weaving them together to essentially form an SOC

00:43:46 ◼   ► out of it seems like a good idea.

00:43:49 ◼   ► Doing it all on one die probably still has advantages,

00:43:52 ◼   ► but price may not be one of those advantages.

00:43:55 ◼   ► And again, Intel is super interested

00:43:57 ◼   ► because they essentially can't do that

00:43:59 ◼   ► without having TSMC do all of their fabbing for them

00:44:01 ◼   ► if they want the top tier technology.

00:44:04 ◼   ► Apple doesn't currently have that problem,

00:44:06 ◼   ► but the fact that Johnny Cerugi mentioned stuff

00:44:08 ◼   ► about packaging and the fact that this whole chiplets thing,

00:44:12 ◼   ► like other companies are already doing this,

00:44:13 ◼   ► AMD has been big into the chiplets thing for a while,

00:44:15 ◼   ► Intel is putting a lot of money and research into this

00:44:18 ◼   ► and their chips that they're gonna be coming out with

00:44:21 ◼   ► use some of this technology,

00:44:23 ◼   ► I think it's unavoidable that Apple will start using it too.

00:44:25 ◼   ► Why am I interested in all this?

00:44:27 ◼   ► You know why.

00:44:28 ◼   ► It's to keep the dream alive of a Mac Pro chip

00:44:31 ◼   ► that is not the same as one you can get in an Mac studio.

00:44:34 ◼   ► And what's gonna make that possible?

00:44:36 ◼   ► Apparently with the approach they use

00:44:37 ◼   ► for the past two generations, not economically feasible.

00:44:41 ◼   ► If it's ever gonna be economically feasible,

00:44:43 ◼   ► we need a change.

00:44:44 ◼   ► This change in packaging could bring that about.

00:44:47 ◼   ► Stay tuned, I don't know, 20, 27, who knows?

00:44:50 ◼   ► - Don't mind.

00:44:52 ◼   ► All right, Jon, in keeping with the idea

00:44:56 ◼   ► of keeping the dream alive,

00:44:58 ◼   ► tell me about error network change.

00:45:00 ◼   ► - This is a nightmare, it's not a dream.

00:45:02 ◼   ► - Touche.

00:45:03 ◼   ► - Error network change continues.

00:45:05 ◼   ► Some more research from the internet about this.

00:45:09 ◼   ► So here is a Stack Overflow question.

00:45:12 ◼   ► This person asks, whenever my iPhone and Mac OS

00:45:15 ◼   ► are on the same WiFi, Chrome and Mac OS

00:45:17 ◼   ► often reports the error network changed.

00:45:20 ◼   ► I found that whenever my iPhone and Mac OS

00:45:22 ◼   ► on the same WiFi, a record will often appear

00:45:24 ◼   ► in the routing table in Mac OS

00:45:26 ◼   ► and disappear after a few seconds.

00:45:28 ◼   ► When this route record appears,

00:45:29 ◼   ► my Chrome will most likely have

00:45:31 ◼   ► an error network change error.

00:45:32 ◼   ► I turned off the iPhone's WiFi,

00:45:34 ◼   ► the routing in a record in Mac OS disappeared,

00:45:36 ◼   ► and Chrome no longer had the error.

00:45:38 ◼   ► So this is, everyone is always looking for like,

00:45:40 ◼   ► what causes this?

00:45:41 ◼   ► And so they start looking at anything,

00:45:42 ◼   ► like what changes my network?

00:45:44 ◼   ► What is it about my network that has changed?

00:45:46 ◼   ► And they'll spot something,

00:45:47 ◼   ► and they'll find a thing to attribute it to,

00:45:49 ◼   ► and they'll stop that thing by saying,

00:45:50 ◼   ► it looks like it's happening because my phone is here,

00:45:52 ◼   ► and if I turn off my WiFi, I fix the problem.

00:45:54 ◼   ► Every single one of these that has been reported,

00:45:57 ◼   ► I have experimented with,

00:45:58 ◼   ► and it doesn't actually eliminate the problem,

00:46:02 ◼   ► it just moves it around.

00:46:03 ◼   ► Because the problem is, the network changed

00:46:05 ◼   ► and Chrome flips out about it.

00:46:07 ◼   ► Is the problem that the network is changing?

00:46:08 ◼   ► Is the problem that's Chrome's flipping out about it?

00:46:11 ◼   ► Is it both?

00:46:13 ◼   ► Either way, if you stop the thing

00:46:15 ◼   ► that changes in your network,

00:46:16 ◼   ► doesn't mean that something else

00:46:17 ◼   ► won't also change your network and cause the error.

00:46:20 ◼   ► But I'm glad that somebody found something that helps them.

00:46:22 ◼   ► This next one is about tailscale.

00:46:25 ◼   ► Gil Penderson says, "The tailscale VPN used to trigger this,

00:46:28 ◼   ► but they fixed it with," and there's a link to a patch.

00:46:30 ◼   ► So this is tailscale patching their own code

00:46:33 ◼   ► to avoid this error,

00:46:33 ◼   ► because they were seeing this error happening,

00:46:35 ◼   ► and they were saying, hey, this thing that we're doing,

00:46:38 ◼   ► Mac OS is flipping out about it.

00:46:40 ◼   ► So basically it says iOS/Mac OS,

00:46:44 ◼   ► so it's apparently not just a Mac thing,

00:46:46 ◼   ► will reconfigure their routing

00:46:47 ◼   ► anytime anything minor changes in the netmap.

00:46:50 ◼   ► And so they're changing their code to not do that,

00:46:52 ◼   ► because they don't wanna anger iOS/Mac OS.

00:46:54 ◼   ► This is a change that committed in 2020.

00:46:57 ◼   ► So is our iOS and Mac OS changing their routing more?

00:47:02 ◼   ► Is there something that was part of the operating system

00:47:05 ◼   ► that's causing it?

00:47:07 ◼   ► Lots of theories about this.

00:47:08 ◼   ► One that's not even in the notes here is about,

00:47:11 ◼   ► if you have a dev device,

00:47:12 ◼   ► like if you have an iPhone

00:47:13 ◼   ► that is configured as a dev device,

00:47:15 ◼   ► there's apparently a new way

00:47:16 ◼   ► that Macs communicate to the phones

00:47:19 ◼   ► for purposes of development,

00:47:21 ◼   ► that also uses a network connection

00:47:23 ◼   ► that's brought up and torn down,

00:47:24 ◼   ► and apparently causes network to be changed

00:47:26 ◼   ► as far as Chrome concerned, and it flips out.

00:47:28 ◼   ► So anyway, here's an anonymous bit

00:47:29 ◼   ► that's getting us closer to the root of the problem.

00:47:32 ◼   ► And this is an explanation of it

00:47:34 ◼   ► from the perspective of Chrome, Chromium, whatever.

00:47:38 ◼   ► Because again, this is not just a Mac or iOS problem.

00:47:40 ◼   ► This happens to be on Linux.

00:47:42 ◼   ► This is a, part of the problem is clearly

00:47:45 ◼   ► with the Chrome/Chromium browser engine,

00:47:50 ◼   ► but the operating system has to participate in it as well,

00:47:52 ◼   ► because they're the ones that control the network

00:47:53 ◼   ► that is changing.

00:47:54 ◼   ► Anyway, anonymous writes,

00:47:56 ◼   ► "The network layer from Chromium is available

00:47:58 ◼   ► as a standalone cross-platform library called Cronet,

00:48:01 ◼   ► which is open source

00:48:02 ◼   ► and used in other non-Google applications.

00:48:04 ◼   ► I work at Google on a major Android app

00:48:05 ◼   ► that uses Cronet extensively,

00:48:07 ◼   ► so I've got experience with their network changed."

00:48:09 ◼   ► This issue appears to be with QUIC, Q-U-I-C,

00:48:12 ◼   ► which is the UDP-based web protocol thing.

00:48:15 ◼   ► We'll put a link to the Wikipedia page.

00:48:16 ◼   ► You can read about it.

00:48:17 ◼   ► And/or HTTP/3, which is a new version of HTTP,

00:48:20 ◼   ► which is sensitive to changing networks.

00:48:22 ◼   ► Whenever the networks on the device change,

00:48:24 ◼   ► the connection needs to be reset.

00:48:25 ◼   ► This isn't exactly a bug.

00:48:26 ◼   ► It's a necessary step.

00:48:28 ◼   ► Not doing this would mean connections

00:48:29 ◼   ► wouldn't work properly.

00:48:30 ◼   ► Unfortunately, this causes error network change

00:48:33 ◼   ► when the device's network changed.

00:48:35 ◼   ► As previously mentioned,

00:48:36 ◼   ► this can be for non-obvious reasons,

00:48:37 ◼   ► such as Docker desktop customizing the networks repeatedly,

00:48:40 ◼   ► VPN apps misbehaving,

00:48:41 ◼   ► cell signal dropping in and out, et cetera.

00:48:44 ◼   ► There are ways in which this can be fixed.

00:48:46 ◼   ► First, not using HTTP/QUIC is the easiest.

00:48:50 ◼   ► Safari and other Apple stuff doesn't use this yet,

00:48:52 ◼   ► so it isn't currently experiencing these issues.

00:48:54 ◼   ► However, this will likely change

00:48:55 ◼   ► as Apple rolls out HTTP/3 support.

00:48:57 ◼   ► Apart from this issue, it's a much better technology,

00:48:59 ◼   ► particularly for mobile devices.

00:49:00 ◼   ► So this is the first offered explanation of,

00:49:03 ◼   ► hey, why doesn't Safari have this problem?

00:49:04 ◼   ► The theory is, oh, Safari doesn't use QUIC or HTTP/3,

00:49:08 ◼   ► and so it's not going to see any of these errors.

00:49:11 ◼   ► Difficult to test because,

00:49:13 ◼   ► as far as I was able to determine

00:49:15 ◼   ► in conversing with this person,

00:49:16 ◼   ► there is no way to disable HTTP/3 and QUIC in Chrome

00:49:20 ◼   ► to disable it entirely.

00:49:21 ◼   ► There's some flags in Chrome flags

00:49:22 ◼   ► where you can turn some things off,

00:49:23 ◼   ► but I think you can't turn it off entirely.

00:49:25 ◼   ► So it's hard to do an apples-to-apples comparison.

00:49:28 ◼   ► But you pin your hopes on the smallest thing.

00:49:30 ◼   ► If Apple does plan on rolling out HTTP/3 or QUIC,

00:49:33 ◼   ► their browser is going to break like Chrome is.

00:49:35 ◼   ► And hopefully they'll be like, oh, geez,

00:49:37 ◼   ► this browser has become useless

00:49:39 ◼   ► because half of my HTTP connections fail.

00:49:41 ◼   ► Let's see if we can fix this,

00:49:43 ◼   ► as opposed to now where apparently no one is doing anything.

00:49:45 ◼   ► Next possible fix.

00:49:46 ◼   ► OSes and networking apps will need to be more careful

00:49:49 ◼   ► about network changes.

00:49:50 ◼   ► Apple will probably fix this in a Sonoma point release.

00:49:52 ◼   ► Other platforms I've seen this on are working on fixes.

00:49:56 ◼   ► I wish I had this person's optimism.

00:49:59 ◼   ► Will it be fixed in a Sonoma point release?

00:50:01 ◼   ► Does Apple even know about this?

00:50:03 ◼   ► I haven't bothered reporting this

00:50:05 ◼   ► because they're just going to say it's a Chrome error,

00:50:07 ◼   ► and I'm not sure they're wrong.

00:50:09 ◼   ► Like, I honestly don't know how much of the blame

00:50:11 ◼   ► to a portion to Chrome versus Mac is.

00:50:13 ◼   ► Anecdotal evidence is that this is way worse in Sonoma.

00:50:17 ◼   ► There are a bunch of new network-related demons

00:50:19 ◼   ► for various things that people have assigned blame to.

00:50:21 ◼   ► Oh, it's because of the Utahn thing.

00:50:23 ◼   ► It's because of talking to a developer iPhone device.

00:50:26 ◼   ► You know, it's because of Docker.

00:50:28 ◼   ► It's because of a VPN.

00:50:29 ◼   ► It's because whenever your iPhone and your Mac

00:50:33 ◼   ► are on the same Wi-Fi network, it happens.

00:50:35 ◼   ► Like, I don't know.

00:50:37 ◼   ► But I don't know how to communicate this

00:50:41 ◼   ► to anybody involved other than to say

00:50:43 ◼   ► Chrome no longer works on Mac in a reliable way,

00:50:45 ◼   ► like in a fundamental, no longer useful

00:50:48 ◼   ► as a browser kind of way because, you know,

00:50:51 ◼   ► some large representative requests just fail,

00:50:54 ◼   ► and it's not great.

00:50:55 ◼   ► Finally, the last thing.

00:50:57 ◼   ► There is an experimentation going on in Cronet

00:50:59 ◼   ► to improve things by migrating connections

00:51:01 ◼   ► across network interfaces.

00:51:03 ◼   ► This is the migrate sessions on network change V2 flag

00:51:06 ◼   ► or feature or whatever.

00:51:07 ◼   ► We'll put a link to the thing in the show notes.

00:51:10 ◼   ► This isn't just a bug fix, though.

00:51:11 ◼   ► It has trade-offs, so it likely needs to be done

00:51:13 ◼   ► in combination with improvements from OSes

00:51:15 ◼   ► and networking apps.

00:51:16 ◼   ► So the idea behind this thing is,

00:51:18 ◼   ► hey, if there's some connection

00:51:20 ◼   ► in this Cronet networking library,

00:51:22 ◼   ► and the network changes, and we have to, you know,

00:51:25 ◼   ► not use that connection anymore because it won't work,

00:51:28 ◼   ► whatever was using that connection,

00:51:30 ◼   ► why don't we smoothly migrate it over

00:51:32 ◼   ► to the new working connection,

00:51:33 ◼   ► and then the application that is using Cronet,

00:51:36 ◼   ► which would be the Chromium browser engine,

00:51:38 ◼   ► doesn't need to worry that that happened.

00:51:40 ◼   ► It will just continue to work.

00:51:41 ◼   ► That would be great, but it's not just like,

00:51:43 ◼   ► it's not just a bug fix

00:51:44 ◼   ► because there are performance implications of that.

00:51:46 ◼   ► Migrating, it is not free.

00:51:47 ◼   ► It takes time, and it's not the same

00:51:50 ◼   ► as just not having the network change.

00:51:52 ◼   ► So I don't know what the solution is here,

00:51:54 ◼   ► but it's extremely frustrating.

00:51:56 ◼   ► We did not have an Air Network Change shirt

00:51:58 ◼   ► as part of this sale,

00:51:59 ◼   ► but I'm seriously thinking about it for future ones.

00:52:01 ◼   ► This continues to happen.

00:52:04 ◼   ► And then the final bit, this is really the icing on the cake.

00:52:06 ◼   ► This is not seemingly related to Air Network Change,

00:52:11 ◼   ► but kind of is.

00:52:12 ◼   ► This was a toot by someone named Thomas who said,

00:52:15 ◼   ► "I just learned what the user interface

00:52:17 ◼   ► in the SpaceX capsules run.

00:52:19 ◼   ► The capsules that provide life support

00:52:21 ◼   ► for people traveling into space

00:52:22 ◼   ► have to be absolutely reliable.

00:52:24 ◼   ► The user interface that controls an explosion.

00:52:27 ◼   ► It runs a home-compiled version of Chromium,

00:52:29 ◼   ► and the UI is written in JavaScript."

00:52:31 ◼   ► And this person wrote this to say,

00:52:32 ◼   ► "Can you believe they're using web technologies

00:52:34 ◼   ► and a thing that has to be reliable?"

00:52:36 ◼   ► But that's not the thing that sticks out.

00:52:38 ◼   ► The thing that sticks out is the word "chromium."

00:52:40 ◼   ► Do you think if they have Air Network Changed

00:52:42 ◼   ► in a SpaceX rocket, that might be a problem?

00:52:47 ◼   ► And who's responsible for fixing that bug?

00:52:49 ◼   ► I'm sure it's running Linux or whatever,

00:52:50 ◼   ► but, again, people running Chrome on Linux

00:52:52 ◼   ► or Chromium-based things on Linux

00:52:54 ◼   ► are also experiencing this problem.

00:52:57 ◼   ► Sometimes I feel like I'm the only person with this problem,

00:52:59 ◼   ► but every time I talk about it on the show,

00:53:01 ◼   ► people send me toots on Mastodon.

00:53:03 ◼   ► Here I am, I'm getting it, I'm getting it on Air Work Changed.

00:53:05 ◼   ► I got people on Linux, people on Macs.

00:53:07 ◼   ► So far no one on iOS,

00:53:08 ◼   ► 'cause maybe those errors are hidden from you

00:53:10 ◼   ► on most iOS apps, but...

00:53:12 ◼   ► I mean, I still think my Winter Dragon bug

00:53:15 ◼   ► is more important 'cause I could just use Safari.

00:53:17 ◼   ► But for the people in the SpaceX capsules

00:53:21 ◼   ► that have a UI that's running Chromium,

00:53:22 ◼   ► maybe talk to your bosses about this.

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00:55:23 ◼   ► (upbeat music)

00:55:26 ◼   ► As we record this, it is Monday, what's it say,

00:55:28 ◼   ► the 20th, is that right?

00:55:30 ◼   ► Yes, Monday the 20th.

00:55:31 ◼   ► In the last three days, there have been approximately,

00:55:35 ◼   ► carry the seven, 7,304 different CEOs for OpenAI.

00:55:40 ◼   ► - Somehow still only one board.

00:55:42 ◼   ► - Right, yeah.

00:55:43 ◼   ► - Well, we've been recording for a while, so.

00:55:45 ◼   ► - Yeah, right.

00:55:46 ◼   ► - That's also fair.

00:55:47 ◼   ► So I don't really have too much to say about this,

00:55:50 ◼   ► but I guess--

00:55:51 ◼   ► - Just read the headlines in the notes.

00:55:52 ◼   ► - All right, so these are the headlines,

00:55:55 ◼   ► and we'll link these in the show notes.

00:55:56 ◼   ► - I think this is like 48 hours span, 24, 48.

00:56:00 ◼   ► - Yeah, it's been almost no time.

00:56:02 ◼   ► - So these are the headlines as per the Verge.

00:56:05 ◼   ► Sam Altman fired a CEO of OpenAI.

00:56:08 ◼   ► That was on the 17th.

00:56:10 ◼   ► - And by the way, out of nowhere.

00:56:12 ◼   ► - Yeah, so let's get through the headlines,

00:56:14 ◼   ► and then let, yeah, I think it's worth unpacking all this.

00:56:17 ◼   ► Then next, Twitch co-founder, Emmet Sheer,

00:56:19 ◼   ► is the new CEO of OpenAI, that was apparently today.

00:56:23 ◼   ► Microsoft hires former OpenAI CEO, Sam Altman, also today.

00:56:27 ◼   ► Hundreds of OpenAI employees starting to resign

00:56:30 ◼   ► and join Microsoft today.

00:56:32 ◼   ► Is Sam Altman joining Microsoft?

00:56:34 ◼   ► Satya Dadella doesn't seem to know.

00:56:37 ◼   ► - I think there's hours between those things.

00:56:39 ◼   ► - Yeah.

00:56:40 ◼   ► - How can you have, like, yes, it's a comedy of errors,

00:56:44 ◼   ► but then every time there's a headline,

00:56:46 ◼   ► it's like, this is a thing that happened,

00:56:47 ◼   ► and it's like, but has it?

00:56:49 ◼   ► - Yeah, exactly.

00:56:51 ◼   ► - I skip the ones where it's like, oh, he was fired,

00:56:54 ◼   ► but there are negotiations for him to come back.

00:56:55 ◼   ► But no, he's not coming back.

00:56:56 ◼   ► But yes, he is coming back,

00:56:57 ◼   ► but they're talking about coming back.

00:56:58 ◼   ► But now he's at Microsoft,

00:56:59 ◼   ► but has he been hired by Microsoft?

00:57:01 ◼   ► And this is not just like,

00:57:01 ◼   ► oh, we're wondering what's going on.

00:57:04 ◼   ► That's why the headline says,

00:57:05 ◼   ► is Sam Altman joining Microsoft?

00:57:07 ◼   ► Satya Dadella, who by the way is the CEO of Microsoft,

00:57:09 ◼   ► doesn't seem to know.

00:57:10 ◼   ► Satya Dadella announced,

00:57:12 ◼   ► hey, Sam Altman's coming to Microsoft.

00:57:14 ◼   ► But then when asked about it, like, hours later,

00:57:16 ◼   ► it was like, well, not really sure.

00:57:19 ◼   ► I don't check back in a few hours.

00:57:22 ◼   ► Boy.

00:57:23 ◼   ► - Yeah, so let me try to give

00:57:24 ◼   ► the quick executive summary of this.

00:57:26 ◼   ► Now, I'm surely gonna get a little bit wrong,

00:57:28 ◼   ► but the general gist of it is,

00:57:30 ◼   ► I think it was late Friday, Eastern time,

00:57:33 ◼   ► there was a blog post from the OpenAI board, basically,

00:57:37 ◼   ► that said that Sam Altman, who was the former CEO,

00:57:42 ◼   ► maybe by the time you're listening to this,

00:57:44 ◼   ► might be the CEO again, who knows?

00:57:45 ◼   ► But former CEO had basically not,

00:57:48 ◼   ► what was the phrase they used?

00:57:50 ◼   ► Not been, forthcoming wasn't the word they used,

00:57:54 ◼   ► but it was something along those lines.

00:57:55 ◼   ► - It was pretty severe.

00:57:58 ◼   ► - It was vague, but like, as, you know,

00:58:00 ◼   ► normally when a CEO is fired,

00:58:04 ◼   ► this is the privilege of being in the executive ranks.

00:58:06 ◼   ► When a regular person is fired, you just get fired.

00:58:09 ◼   ► But if you're a CEO, no matter how terrible

00:58:12 ◼   ► whatever you did was, no matter how badly you screwed up,

00:58:16 ◼   ► you're always like, you know, moving on to spend more time

00:58:19 ◼   ► with your family or want to pursue other interests,

00:58:23 ◼   ► or like they have some euphemism about how you're,

00:58:25 ◼   ► it's not like we're firing him.

00:58:26 ◼   ► It's a mutual decision we've all come to,

00:58:28 ◼   ► and he's decided to leave, and he's, you know,

00:58:31 ◼   ► pursuing his passions in this other realm,

00:58:33 ◼   ► and we thank him for all his blah, blah, blah,

00:58:34 ◼   ► and this wasn't like that.

00:58:36 ◼   ► This was as close as you're ever gonna get

00:58:38 ◼   ► to saying we fired him 'cause we don't like him.

00:58:40 ◼   ► - Yeah, that's how I remember being with Forrestal,

00:58:42 ◼   ► was basically like, it was clear that he got fired,

00:58:45 ◼   ► but everyone put on the happy face.

00:58:47 ◼   ► We would like Scott to spend more time with his family.

00:58:51 ◼   ► Yes, I would like to spend more time with my family.

00:58:55 ◼   ► - And usually, and usually in those type of statements,

00:58:57 ◼   ► there's something from the person who was fired,

00:58:59 ◼   ► like quote, you know, whatever, quotes from them, right?

00:59:02 ◼   ► They'll say like, I'm happy that I spent all my time

00:59:04 ◼   ► with this company, I'm glad to be moving on,

00:59:06 ◼   ► and blah, blah, blah, like it's a participatory process.

00:59:08 ◼   ► But what happened with Sam Altman,

00:59:11 ◼   ► the story I heard on Pocket Osean 2 is that

00:59:13 ◼   ► he was on stage doing something,

00:59:15 ◼   ► like in his official capacity as CEO,

00:59:17 ◼   ► and he said, okay, well, you know, thanks everybody,

00:59:20 ◼   ► I have to go, I have a meeting.

00:59:21 ◼   ► In that meeting, he got on, he got on a call,

00:59:25 ◼   ► this is, I was listening to the Verges podcast about this,

00:59:27 ◼   ► he got onto the call using Google Meet,

00:59:28 ◼   ► and one of the people on the show said,

00:59:30 ◼   ► even for $10 billion, no one will use Teams.

00:59:32 ◼   ► Microsoft invested $10 billion or whatever in OpenAI.

00:59:37 ◼   ► So anyway, he goes to his meeting, he sits down,

00:59:39 ◼   ► and it's, you know, an online meeting, right?

00:59:42 ◼   ► And all they did in the online meeting was read him

00:59:45 ◼   ► the blog post he just referred to, okay,

00:59:46 ◼   ► so they just put in, that's what you do in these meetings,

00:59:48 ◼   ► you have a script, you stick to it so you don't get sued,

00:59:50 ◼   ► you just read the words, so if you're wondering,

00:59:52 ◼   ► like, oh, they must have had an extensive meeting

00:59:53 ◼   ► in which they explained to him why he was fired,

00:59:56 ◼   ► when we say this came out of nowhere,

00:59:57 ◼   ► didn't come out of nowhere to us on the outside,

00:59:59 ◼   ► 'cause what do we know?

01:00:00 ◼   ► Came out of nowhere to Sam Altman,

01:00:02 ◼   ► who just got done doing a CEO thing and said,

01:00:04 ◼   ► oh, I gotta go to a meeting,

01:00:05 ◼   ► and they just read him a thing and said, yeah, you're fired.

01:00:07 ◼   ► - And by the way, the thing he was doing,

01:00:09 ◼   ► like having their whole developer conference,

01:00:11 ◼   ► was widely lauded by the industry as like an amazing thing,

01:00:15 ◼   ► everyone thought he did an amazing job,

01:00:16 ◼   ► this is a great path beyond--

01:00:18 ◼   ► - Everyone's excited about open AI.

01:00:19 ◼   ► - Yeah, everyone's super excited about open AI and him,

01:00:22 ◼   ► like it was, that's why when this news dropped

01:00:25 ◼   ► that the board fired him,

01:00:26 ◼   ► everyone in the entire tech business was like, what?

01:00:30 ◼   ► Are you serious, is this a joke, like what happened?

01:00:32 ◼   ► - Yeah, so here's from the blog post

01:00:34 ◼   ► I was able to dig it up while you guys were talking,

01:00:36 ◼   ► this is the blog post from the open AI board,

01:00:38 ◼   ► Mr. Altman's departure follows a deliberate review process

01:00:41 ◼   ► by the board which concluded that he was not consistently

01:00:44 ◼   ► candid in his communications with the board,

01:00:46 ◼   ► hindering its ability to exercise its responsibilities.

01:00:48 ◼   ► The board no longer has confidence in his ability

01:00:50 ◼   ► to continue leading open AI.

01:00:52 ◼   ► - Which by the way, like that's a really serious accusation,

01:00:56 ◼   ► like that is like, potentially misleading the board

01:01:00 ◼   ► is in many cases a crime,

01:01:02 ◼   ► like that is a really serious accusation,

01:01:05 ◼   ► that's why like this isn't just,

01:01:07 ◼   ► oh, we had creative differences,

01:01:09 ◼   ► we don't like him anymore,

01:01:10 ◼   ► that's a very serious thing to throw around,

01:01:13 ◼   ► what they threw around.

01:01:14 ◼   ► - And by the way, as far as I understand it,

01:01:17 ◼   ► the board doesn't have to have a reason,

01:01:19 ◼   ► like they have complete control,

01:01:21 ◼   ► there's no like power struggle or whatever,

01:01:23 ◼   ► the structure of this company is such that the board

01:01:26 ◼   ► can decide, oh, we don't want you to be CEO,

01:01:28 ◼   ► I think for pretty much any reason,

01:01:30 ◼   ► like he needs to do anything wrong,

01:01:31 ◼   ► like it just happens all the time,

01:01:32 ◼   ► the board's like, we want a different CEO,

01:01:34 ◼   ► we wanna go in a different direction,

01:01:35 ◼   ► that happens all the time,

01:01:36 ◼   ► they don't need to explain,

01:01:38 ◼   ► which is why you can do the,

01:01:39 ◼   ► oh, they're going to spend more time with the family

01:01:41 ◼   ► or whatever, whatever the real reason is,

01:01:43 ◼   ► it's not like they need to make something up,

01:01:44 ◼   ► like we can't fire him unless we say that he lied to us,

01:01:47 ◼   ► they could have just said later,

01:01:49 ◼   ► but they threw that in there to say,

01:01:51 ◼   ► oh, and we have reasons,

01:01:52 ◼   ► we think he has not been quote unquote,

01:01:54 ◼   ► consistently candid,

01:01:55 ◼   ► like they didn't have to put that in there for any reason,

01:01:58 ◼   ► other than to just, I mean, I don't know,

01:02:01 ◼   ► maybe this will give us cover because it's vague enough,

01:02:03 ◼   ► people can imagine some terrible thing happened,

01:02:05 ◼   ► but bottom line is, apparently a majority,

01:02:09 ◼   ► we don't even know how much,

01:02:10 ◼   ► because it's not a public company,

01:02:12 ◼   ► so it's not like they have public records to say,

01:02:13 ◼   ► was this a unanimous vote,

01:02:14 ◼   ► did everybody vote to kick him out or whatever,

01:02:16 ◼   ► but a majority of the people on the board

01:02:19 ◼   ► decided they don't want him to be CEO anymore,

01:02:22 ◼   ► and they made this decision without consulting Sam Altman

01:02:25 ◼   ► at all, I mean, maybe they've had past conversations

01:02:27 ◼   ► about it, maybe he should have known it's coming

01:02:29 ◼   ► because they said in their last meeting,

01:02:30 ◼   ► if you do really well in that dev conference, you're fired,

01:02:33 ◼   ► I don't know what they might have said to him.

01:02:36 ◼   ► - So the impression I get, and I don't have a lot of facts,

01:02:41 ◼   ► nobody has facts here at the moment,

01:02:43 ◼   ► but the impression I got based on the coverage that I've read

01:02:47 ◼   ► is that there were two different factions, or tribes,

01:02:49 ◼   ► I think Sam had called them at one point or another,

01:02:51 ◼   ► two different tribes within OpenAI.

01:02:54 ◼   ► OpenAI was originally founded in 2014, 2015 thereabouts

01:02:58 ◼   ► as a nonprofit, and their theory was,

01:03:01 ◼   ► we wanna make basically artificial general intelligence,

01:03:04 ◼   ► we wanna make AI, but we understand that with this great

01:03:09 ◼   ► power comes great responsibility, and we wanna do this

01:03:12 ◼   ► to improve the lives of people everywhere,

01:03:17 ◼   ► but we're gonna try to do it very methodically,

01:03:19 ◼   ► very deliberately, very safely.

01:03:21 ◼   ► And that was how the company was founded,

01:03:24 ◼   ► and it's not even really a company, I guess, it's--

01:03:28 ◼   ► - It's a nonprofit. - It's a nonprofit, right?

01:03:30 ◼   ► So that's how it was founded.

01:03:32 ◼   ► Well, at some point, you know, Altman swoops in,

01:03:34 ◼   ► I don't recall exactly when it was in the timeline,

01:03:36 ◼   ► but it's clear that Sam Altman is very Silicon Valley VC,

01:03:41 ◼   ► which I personally find to be a very ugly stereotype,

01:03:46 ◼   ► like, I just don't care for that whole like,

01:03:48 ◼   ► grow, grow, grow, take over the world mindset.

01:03:50 ◼   ► - And he is the embodiment of that stereotype,

01:03:52 ◼   ► he used to be with Y Combinator, which is also kind of

01:03:54 ◼   ► a poster child for that type of VC.

01:03:56 ◼   ► - Yeah, and he's not the guy who had the day-of-phone,

01:03:58 ◼   ► night-of-phone, he's the guy who wore the multiple

01:04:00 ◼   ► polo shirts at the same time.

01:04:01 ◼   ► - Yeah, sorry to keep track of all that, Sam, yeah.

01:04:04 ◼   ► - Exactly, now, and I'm trying to make plain,

01:04:07 ◼   ► to quote Merlin, my priors on this,

01:04:09 ◼   ► like, I find that whole Silicon Valley mindset

01:04:11 ◼   ► to be very off-putting, you know, grow,

01:04:14 ◼   ► grow no matter what, we don't care who we run over

01:04:17 ◼   ► in the process, grow, grow, grow, you know,

01:04:19 ◼   ► let's make money, make money, and that's all that matters

01:04:22 ◼   ► is making money, nothing else matters,

01:04:23 ◼   ► grow and make money, grow and make money,

01:04:25 ◼   ► or sometimes you don't even have to make money,

01:04:26 ◼   ► you just grow.

01:04:27 ◼   ► Well, so anyway, so consider that when I give,

01:04:29 ◼   ► one of my, you know, lip turns up,

01:04:31 ◼   ► as I tell you this story, but nevertheless,

01:04:34 ◼   ► so Sam comes in and he's grow, grow, grow,

01:04:36 ◼   ► money, money, money, and everything,

01:04:38 ◼   ► I guess everyone was kind of coexisting okay,

01:04:41 ◼   ► and even though they disagreed internally,

01:04:44 ◼   ► everything was mostly all right.

01:04:45 ◼   ► Well, then they released ChatGPT, what, about a year ago,

01:04:48 ◼   ► and it makes a tremendous splash.

01:04:53 ◼   ► I think a lot of people are saying it's the quickest

01:04:55 ◼   ► adopted consumer product ever, because, you know,

01:04:58 ◼   ► they had something like 100 million signups

01:05:00 ◼   ► in the span of like four minutes,

01:05:01 ◼   ► not literally, but you know what I mean,

01:05:02 ◼   ► and so now money is becoming a thing, like for real,

01:05:07 ◼   ► and suddenly we have to pay the piper on this division

01:05:11 ◼   ► between money, money, money, and let's do this

01:05:14 ◼   ► for the good of all people, and their chief scientist,

01:05:17 ◼   ► Ilya, something or other, I don't have the name

01:05:19 ◼   ► in front of me, I guess was more on the let's play it safe,

01:05:23 ◼   ► let's be deliberate, let's do this for the good

01:05:25 ◼   ► of humanity, and Sam was very much money, money, money,

01:05:28 ◼   ► and at some point, it appears something gave,

01:05:33 ◼   ► and the rumblings that I heard, not from like sources

01:05:37 ◼   ► or anything, just based on the reporting I read,

01:05:41 ◼   ► was that Ilya had convinced the board,

01:05:43 ◼   ► of which I think he is a part of the board,

01:05:45 ◼   ► let's get rid of Sam, and then all hell broke loose,

01:05:49 ◼   ► and now, as we record on Monday night,

01:05:51 ◼   ► we don't really know what the latest and greatest is,

01:05:54 ◼   ► but I understand, you know, both sides of this.

01:05:58 ◼   ► Like on the one side, if the board really did establish,

01:06:00 ◼   ► or if OpenAI really was established as a non-profit,

01:06:02 ◼   ► which I think is factual, I don't think that's up for grabs,

01:06:05 ◼   ► it is within reason for them to say, well, hold on,

01:06:08 ◼   ► suddenly we've taken a turn and pivoted

01:06:10 ◼   ► to money, money, money, we don't like that,

01:06:13 ◼   ► and Sam seems to, by most metrics,

01:06:16 ◼   ► have pivoted them in that direction,

01:06:18 ◼   ► so if we don't like this pivot to money, money, money,

01:06:20 ◼   ► then we probably don't like Sam anymore,

01:06:22 ◼   ► so on the surface, I don't have a problem with that,

01:06:24 ◼   ► and again, my priors tell me, yeah, screw that Silicon Valley

01:06:27 ◼   ► nut job, you know, let's do this for the good of people

01:06:30 ◼   ► rather than the good of the almighty dollar.

01:06:32 ◼   ► - Well, wait till you hear about the other side of that,

01:06:34 ◼   ► because I think that they're both nut jobs.

01:06:36 ◼   ► - Well, that's fair too, that's fair too.

01:06:38 ◼   ► But I'm just trying to make plain, you know,

01:06:40 ◼   ► this is my biases coming to light.

01:06:43 ◼   ► That being said, unquestionably,

01:06:46 ◼   ► ChatGPT and the work of OpenAI and Dolly,

01:06:49 ◼   ► and you know, all this AI stuff,

01:06:51 ◼   ► whether or not you think it's cool,

01:06:52 ◼   ► whether or not you think it's good,

01:06:55 ◼   ► I think unquestionably, it's important,

01:06:58 ◼   ► and it's been making a big damn splash,

01:07:01 ◼   ► and I think that there's a lot of interesting things here,

01:07:04 ◼   ► and unlike blockchain, I think there's a lot

01:07:07 ◼   ► of fascinating threads that we can pull,

01:07:09 ◼   ► and I think that there's a lot there,

01:07:12 ◼   ► and because of that, I also have sympathy

01:07:16 ◼   ► for the let's grow this product

01:07:18 ◼   ► and see what the world can do with it,

01:07:20 ◼   ► and let's just, let's not slow down,

01:07:22 ◼   ► let's not, you know, be deliberate about it, screw it,

01:07:25 ◼   ► let's just figure it out as we go,

01:07:26 ◼   ► which is when Silicon Valley is at its best.

01:07:29 ◼   ► So I have very mixed feelings about this,

01:07:32 ◼   ► and I mean, as someone who likes drama more than I should,

01:07:36 ◼   ► because I'm a grown-ass man,

01:07:38 ◼   ► I really shouldn't enjoy drama this much,

01:07:41 ◼   ► but oh, this is delicious drama,

01:07:42 ◼   ► and I am here for the drama of it,

01:07:44 ◼   ► but I honestly don't know who's right, who's wrong,

01:07:47 ◼   ► I'm not sure any of us do.

01:07:49 ◼   ► I don't know what to make of this,

01:07:50 ◼   ► but it is a mess, and it's been a mess

01:07:53 ◼   ► every other hour since late Friday evening.

01:07:56 ◼   ► - Yeah, by the time you hear this episode,

01:07:58 ◼   ► who knows what will have happened.

01:07:59 ◼   ► I think this is actually, I mean,

01:08:01 ◼   ► a lot of, this is the most,

01:08:03 ◼   ► the most Silicon Valley thing about this

01:08:05 ◼   ► is that a lot of the companies that, you know,

01:08:08 ◼   ► from my youth that sort of came out of Silicon Valley,

01:08:11 ◼   ► they were at the forefront of some technology that,

01:08:14 ◼   ► they were at the right place at the right time, right?

01:08:16 ◼   ► They decided to make personal computers,

01:08:18 ◼   ► and personal computers were just becoming possible, right?

01:08:20 ◼   ► You know, you had your Apples, you had your Intel,

01:08:22 ◼   ► all right, you know, microchips, memory, you know,

01:08:24 ◼   ► CPUs, x86, Microsoft with the software, like,

01:08:27 ◼   ► they're riding a wave of something.

01:08:31 ◼   ► And those particular companies, especially, you know,

01:08:33 ◼   ► we know a lot of the names of the founders,

01:08:35 ◼   ► Bill Gates, Steve Jobs, a lot of them were younger people,

01:08:38 ◼   ► and pretty much none of them went into it thinking,

01:08:43 ◼   ► I'm going to found what's going to become

01:08:46 ◼   ► what we know today as tech giants,

01:08:48 ◼   ► 'cause that's not what, you know,

01:08:49 ◼   ► who's the, if you tried to tell a young Steve Jobs

01:08:53 ◼   ► and Steve Wozniak what Apple will look like today,

01:08:55 ◼   ► they'd be like, yeah, right.

01:08:56 ◼   ► No one thinks that's going to happen.

01:08:57 ◼   ► So what happens with these companies

01:08:58 ◼   ► that are incredibly successful is,

01:09:00 ◼   ► they're made up of people, the founders,

01:09:02 ◼   ► but also usually they bring in other people

01:09:04 ◼   ► to help them run the company,

01:09:06 ◼   ► and especially for companies

01:09:07 ◼   ► that experience explosive growth,

01:09:10 ◼   ► the people who are responsible for running that company,

01:09:12 ◼   ► they're just people.

01:09:13 ◼   ► Sometimes they're people who've never done

01:09:15 ◼   ► anything like this before.

01:09:17 ◼   ► And so if you're wondering how can this company

01:09:19 ◼   ► that's been so financially successful

01:09:21 ◼   ► and apparently has such amazing technology

01:09:24 ◼   ► not have their governance straightened out

01:09:26 ◼   ► and basically, you know, conduct their business

01:09:30 ◼   ► in this ridiculous way with this whipsawing of the CEO

01:09:34 ◼   ► being fired and asking him to come back

01:09:36 ◼   ► and regretting telling him to leave and all that stuff,

01:09:38 ◼   ► it's because they're a young tech company

01:09:41 ◼   ► riding the wave of new technology

01:09:43 ◼   ► run by a pinch of people who are bad at doing this.

01:09:46 ◼   ► And that's, I mean, look, Steve Jobs was fired from Apple

01:09:51 ◼   ► by a bunch of people that were brought on to run the company.

01:09:53 ◼   ► That was probably the wrong decision

01:09:55 ◼   ► for them to do at that time.

01:09:56 ◼   ► If they had, you know, nurtured his talent,

01:09:59 ◼   ► perhaps they would have had a more successful 90s,

01:10:01 ◼   ► but you can also understand why they fired him

01:10:03 ◼   ► because, you know, read the history.

01:10:05 ◼   ► Like, a lot of these companies in their early days

01:10:08 ◼   ► at least run up to the edge of being, you know,

01:10:12 ◼   ► doing something terrible but being run in a way

01:10:15 ◼   ► that is not, I'm not gonna say not sane,

01:10:18 ◼   ► but that is not the way you expect

01:10:21 ◼   ► a very wealthy company to be run.

01:10:23 ◼   ► Even with Google, they have the two founders

01:10:25 ◼   ► and we have to bring in the adults to help run things.

01:10:28 ◼   ► You know, it can go badly in so many different ways.

01:10:32 ◼   ► It's very rare that you get a company

01:10:35 ◼   ► that manages to get through this sort of awkward adolescence

01:10:38 ◼   ► and sustain its success into something that continues

01:10:42 ◼   ► and becomes like a company that, you know,

01:10:45 ◼   ► that is more reliable and steady

01:10:47 ◼   ► and does not have weird boardroom drama like this.

01:10:49 ◼   ► So I'm not saying that this is unique to OpenAI at all.

01:10:52 ◼   ► In fact, like I said, I think this is the most

01:10:54 ◼   ► Silicon Valley thing that they've done.

01:10:56 ◼   ► That said, the people in these two camps here,

01:10:59 ◼   ► the Sam Altman and the OpenAI people

01:11:03 ◼   ► are a little bit weird.

01:11:04 ◼   ► They're, both sides are a little bit weird.

01:11:07 ◼   ► So we didn't talk about the Microsoft stuff,

01:11:08 ◼   ► but like, OpenAI is this nonprofit.

01:11:11 ◼   ► Microsoft wanted to do a thing with them.

01:11:13 ◼   ► So here's the thing with OpenAI.

01:11:14 ◼   ► Their goal is to make artificial general intelligence,

01:11:16 ◼   ► like 9,000 or whatever, that doesn't kill you.

01:11:19 ◼   ► - Big asterisk there.

01:11:21 ◼   ► - Yeah, yeah.

01:11:21 ◼   ► They haven't done that, to be clear.

01:11:23 ◼   ► That's like their aspirational goal.

01:11:24 ◼   ► It's like their mission statement.

01:11:26 ◼   ► But what they did do was make ChatGPT.

01:11:28 ◼   ► And it turns out that ChatGPT is a useful thing

01:11:30 ◼   ► that people can do stuff with.

01:11:32 ◼   ► And everyone's interested in it.

01:11:35 ◼   ► And Microsoft was interested in it and they said,

01:11:37 ◼   ► "Hey, we would like to do stuff with your technology too.

01:11:40 ◼   ► The problem OpenAI has is they want to make artificial

01:11:43 ◼   ► general intelligence, but turns out doing anything,

01:11:46 ◼   ► even approaching that, costs tons and tons of money."

01:11:49 ◼   ► And so OpenAI's idea was like,

01:11:51 ◼   ► "We'll just, we'll raise money somehow.

01:11:54 ◼   ► And people will give us money because they know

01:11:55 ◼   ► we're doing the good work to make how 9,000 not kill us."

01:11:58 ◼   ► And they, the amount of money they were able to raise

01:12:00 ◼   ► was a fraction of the amount that they would need.

01:12:02 ◼   ► Microsoft came and said,

01:12:04 ◼   ► "We kind of like that things you're doing over there.

01:12:06 ◼   ► How about we let you use our massive computing resources

01:12:09 ◼   ► and our data centers to the tune of billions of dollars

01:12:12 ◼   ► worth of free credits, like little Chuck E. Cheese tokens?

01:12:15 ◼   ► Now you can run your stuff in Azure because OpenAI,

01:12:17 ◼   ► OpenAI can't do anything without large amounts of computers,

01:12:22 ◼   ► which takes large amounts of money.

01:12:23 ◼   ► And they're a nonprofit.

01:12:24 ◼   ► And their idea was like, "We'll raise that money.

01:12:26 ◼   ► People will give us money to pursue this."

01:12:28 ◼   ► They just did not get as much money as they would need.

01:12:30 ◼   ► But ChatGPT, Microsoft's like, "Hmm, kind of like that."

01:12:33 ◼   ► So they did this deal where Microsoft is like

01:12:37 ◼   ► giving them $10 billion,

01:12:39 ◼   ► most of which is in the form of credits

01:12:40 ◼   ► to run stuff in their Azure, cloud computing stuff.

01:12:44 ◼   ► But how can they do that?

01:12:46 ◼   ► Well, if you look at the org chart,

01:12:47 ◼   ► it's like there's a nonprofit

01:12:48 ◼   ► and the nonprofit controls this other for-profit thing

01:12:52 ◼   ► that gets money from Microsoft.

01:12:54 ◼   ► But the for-profit part, it's not,

01:12:58 ◼   ► I think it's like what, profit capped or something like that.

01:13:00 ◼   ► Anyway, it's entirely controlled by the nonprofit,

01:13:03 ◼   ► but still Microsoft has this financial interest.

01:13:05 ◼   ► And by the way, as part of this deal,

01:13:06 ◼   ► Microsoft gets all the rights to the open AI IP,

01:13:10 ◼   ► like their intellectual property,

01:13:12 ◼   ► I don't know what their intellectual property is,

01:13:13 ◼   ► but presumably whatever it is they use to make ChatGPT,

01:13:15 ◼   ► Microsoft now has the rights to that.

01:13:17 ◼   ► I think forever, as part of this $10 billion deal.

01:13:21 ◼   ► The only thing Microsoft doesn't have the rights to,

01:13:22 ◼   ► and this is another one of those great deals,

01:13:23 ◼   ► kind of like Microsoft doing the Internet Explorer thing

01:13:27 ◼   ► and saying, "Oh, don't worry.

01:13:28 ◼   ► We'll give you X percent

01:13:30 ◼   ► of all of our Internet Explorer sales,"

01:13:31 ◼   ► and then giving Internet Explorer away for free

01:13:34 ◼   ► to everybody, and so that person got nothing.

01:13:35 ◼   ► Anyway, the company that got nothing from that.

01:13:38 ◼   ► Open AI is like, "Okay, we'll do this $10 billion deal.

01:13:41 ◼   ► We'll get access to your computing resources,

01:13:42 ◼   ► which we kind of need to literally do anything

01:13:44 ◼   ► 'cause we don't have enough money to do this AI stuff.

01:13:47 ◼   ► We don't have enough money to pay for the computers to do it

01:13:49 ◼   ► but what we won't give you,

01:13:50 ◼   ► and we'll license you our current technology,

01:13:53 ◼   ► but what we won't give you is anything having to do

01:13:56 ◼   ► with artificial general intelligence.

01:13:57 ◼   ► So if we invent HAL 9000, Microsoft, you don't get it."

01:14:00 ◼   ► And Microsoft's like, "Okay, I guess."

01:14:03 ◼   ► And Microsoft's actually thinking,

01:14:04 ◼   ► "They're never gonna do that.

01:14:05 ◼   ► It doesn't matter."

01:14:06 ◼   ► (laughing)

01:14:07 ◼   ► So they retained the right to the fantasy thing

01:14:10 ◼   ► that they wanna make,

01:14:11 ◼   ► but gave Microsoft the rights to all the other stuff.

01:14:13 ◼   ► And so Microsoft's doing all this stuff

01:14:14 ◼   ► with their co-pilot, ChatGPT, all that stuff.

01:14:19 ◼   ► ChatGPT, the fact that it does useful things,

01:14:22 ◼   ► that is a product that can make money.

01:14:24 ◼   ► Microsoft can incorporate that technology

01:14:26 ◼   ► into its own products, Microsoft Office, GitHub, everything,

01:14:29 ◼   ► and use that to make money.

01:14:31 ◼   ► That's what everyone's doing.

01:14:33 ◼   ► Meanwhile, the nonprofits over there are going,

01:14:35 ◼   ► "What are they doing making products and making money for?

01:14:38 ◼   ► Don't they understand we're trying to make HAL 9000,

01:14:40 ◼   ► and we're trying to make sure HAL 9000 doesn't kill us?"

01:14:42 ◼   ► And so there's already a disconnect.

01:14:44 ◼   ► And so on the one side of it is like,

01:14:46 ◼   ► you have a technology that people will pay money to use.

01:14:49 ◼   ► I forget what their numbers are,

01:14:50 ◼   ► but like if they got 100 million users,

01:14:52 ◼   ► they're making some huge amount of revenue to it

01:14:54 ◼   ► because they charge for access to this stuff.

01:14:56 ◼   ► And of course, to the extent that Microsoft incorporates

01:14:59 ◼   ► any of this technology into their products

01:15:00 ◼   ► that helps them sell more of their products,

01:15:01 ◼   ► which of course they make money on.

01:15:03 ◼   ► So it's a product business.

01:15:05 ◼   ► Hey, we have a thing we came up with,

01:15:07 ◼   ► whether it was Google search or whatever,

01:15:10 ◼   ► and we can use it to make money.

01:15:11 ◼   ► And that's what Sam Altman's out there doing,

01:15:13 ◼   ► using a product to make money.

01:15:14 ◼   ► And then the open AI people who are like,

01:15:16 ◼   ► "AI is gonna kill us.

01:15:17 ◼   ► We need to create it in a...

01:15:18 ◼   ► First, we need to create it,

01:15:19 ◼   ► but we need to create it the right way

01:15:20 ◼   ► so it doesn't kill us."

01:15:21 ◼   ► And everyone else is like,

01:15:22 ◼   ► "Yeah, but you haven't created it,

01:15:23 ◼   ► but we've got this thing over here called ChappTPT

01:15:25 ◼   ► that people wanna pay for it."

01:15:26 ◼   ► It's not AI, even though everyone calls it that,

01:15:29 ◼   ► but it is a product that people wanna use.

01:15:31 ◼   ► So can we have a developer day and make an API

01:15:34 ◼   ► and charge people for API access

01:15:35 ◼   ► and do deals with Microsoft?

01:15:36 ◼   ► And it's like, "Okay, I guess."

01:15:38 ◼   ► But eventually like, "No, we're making L9000.

01:15:42 ◼   ► We don't like that other stuff. Stop it."

01:15:44 ◼   ► And so now you have this disconnect.

01:15:46 ◼   ► And if you think about what open AI is,

01:15:49 ◼   ► it's this mission statement.

01:15:51 ◼   ► It's a bunch of employees

01:15:52 ◼   ► that implement this mission statement.

01:15:55 ◼   ► And then it is the output,

01:15:56 ◼   ► the knowledge and the output of those employees.

01:15:58 ◼   ► And so Sam Altman apparently was popular within the company.

01:16:02 ◼   ► So when he left and went to Microsoft, or did he,

01:16:06 ◼   ► of the 700 or so employees at open AI,

01:16:10 ◼   ► about 500 signed a letter that said,

01:16:12 ◼   ► "Hey, if you don't bring him back

01:16:14 ◼   ► or if you don't all quit or whatever,

01:16:15 ◼   ► we're all gonna go to Microsoft."

01:16:17 ◼   ► Because Microsoft said,

01:16:17 ◼   ► "We have an open, a standing offer

01:16:19 ◼   ► to go work for them instead."

01:16:20 ◼   ► So if Microsoft gets Sam Altman

01:16:24 ◼   ► and 500 of the 700 employees,

01:16:27 ◼   ► what is the nonprofit left with?

01:16:28 ◼   ► Microsoft already has the rights

01:16:29 ◼   ► to all the IP of everything they actually made,

01:16:32 ◼   ► 'cause they didn't make L9000.

01:16:34 ◼   ► So they got the rights to that.

01:16:35 ◼   ► And if all their employees also go over there

01:16:38 ◼   ► and they have the former CEO,

01:16:39 ◼   ► then open AI has a mission statement

01:16:42 ◼   ► and 200 loyal employees left.

01:16:45 ◼   ► And really, I guess those people can regroup

01:16:48 ◼   ► and use their $10 billion of Azure bucks

01:16:51 ◼   ► to figure out how to make L9000 any day now.

01:16:54 ◼   ► Meanwhile, Sam Altman and Microsoft are over there

01:16:58 ◼   ► continuing to sell access to chat GPT

01:17:00 ◼   ► to auto-complete stuff when you type reminders in

01:17:03 ◼   ► or whatever the hell they're doing to make money.

01:17:04 ◼   ► The reason I think both camps are a little bit weird

01:17:07 ◼   ► is 'cause Sam Altman's in the, as Casey alluded to before,

01:17:10 ◼   ► the grow, grow, grow, boil the ocean,

01:17:12 ◼   ► kill all the poor people so we can make another buck,

01:17:15 ◼   ► because in the end, what really matters

01:17:17 ◼   ► are the people who are gonna live a trillion years from now.

01:17:20 ◼   ► Lots of interesting philosophical exclusives

01:17:22 ◼   ► to be a jerk today,

01:17:23 ◼   ► but really it's for the future anyway.

01:17:25 ◼   ► Money, money, money.

01:17:26 ◼   ► And then the flip side, the people will think,

01:17:28 ◼   ► AI is gonna come and kill us all,

01:17:29 ◼   ► and they need to be really careful about how they create it,

01:17:31 ◼   ► and you're like, what's gonna kill us all?

01:17:33 ◼   ► They're like, oh, the thing no one's been able to invent yet

01:17:35 ◼   ► but when they do, it's gonna be really bad.

01:17:37 ◼   ► It's like, yeah, dragons can kill us all too,

01:17:40 ◼   ► but there aren't any dragons.

01:17:42 ◼   ► Like, but there could be, you're right, there could be.

01:17:43 ◼   ► Someone could genetically engineer a dragon,

01:17:45 ◼   ► but do you have a dragon?

01:17:46 ◼   ► No, but I think I know how to make one.

01:17:49 ◼   ► All right, well get back to me about the dragon thing.

01:17:51 ◼   ► Yeah, so it's kind of like self-driving cars.

01:17:54 ◼   ► It's like, any day now, it'll come.

01:17:56 ◼   ► It's like, well, no one's ever done it,

01:17:57 ◼   ► but all these companies sprung up about the promise,

01:18:00 ◼   ► you know, like based on the promise of like,

01:18:02 ◼   ► well, you know, in five years,

01:18:03 ◼   ► there'll be self-driving cars,

01:18:04 ◼   ► so we need to build business around that reality.

01:18:07 ◼   ► And that reality has not happened,

01:18:09 ◼   ► and so a lot of those companies are having problems.

01:18:10 ◼   ► So OpenAI is trying to pursue now 9,000,

01:18:15 ◼   ► but I don't think they know how,

01:18:18 ◼   ► like everyone else who has tried before them,

01:18:19 ◼   ► but unlike lots of other companies,

01:18:21 ◼   ► they've made a useful thing

01:18:22 ◼   ► that is a marketable consumer product

01:18:24 ◼   ► in the course of trying to do that research,

01:18:27 ◼   ► and it seems that that useful consumer product

01:18:30 ◼   ► is not compatible with their missions statement,

01:18:33 ◼   ► because that's not what they wanted to do.

01:18:34 ◼   ► Oh, that's cool and all.

01:18:35 ◼   ► That's the stuff along the way,

01:18:37 ◼   ► but let's not get distracted

01:18:38 ◼   ► by trying to make a multi-billion dollar business

01:18:41 ◼   ► out of this useful thing that we've made,

01:18:42 ◼   ► and by the way, OpenAI is not the only company

01:18:45 ◼   ► that's done this.

01:18:45 ◼   ► Lots of other companies have similar things,

01:18:47 ◼   ► so it is kind of a cutthroat business.

01:18:49 ◼   ► OpenAI seems to be the leader in this field,

01:18:52 ◼   ► which is why Microsoft is interested in them

01:18:53 ◼   ► and why they did that deal,

01:18:55 ◼   ► but it's not like this is unknown elsewhere.

01:18:57 ◼   ► What is unknown everywhere is HAL 9000.

01:19:00 ◼   ► That doesn't exist, and so if you're scared of it existing,

01:19:04 ◼   ► okay, it would be scary if it did exist, but it doesn't,

01:19:09 ◼   ► and I'll be more interested

01:19:10 ◼   ► once you think you have a road to making it.

01:19:13 ◼   ► Can you go from ChatGPT to HAL 9000?

01:19:16 ◼   ► Maybe, maybe this is step one of five,

01:19:18 ◼   ► maybe step one of 5000,

01:19:20 ◼   ► or maybe you're just barking up the wrong tree

01:19:22 ◼   ► and this approach isn't gonna work anymore,

01:19:23 ◼   ► the plants that flap their wings, we'll see,

01:19:25 ◼   ► but yeah, that's kind of the state of the world,

01:19:28 ◼   ► and these two camps, at least the Sam Altman thing,

01:19:32 ◼   ► you're like, okay, I've got this guy's number.

01:19:34 ◼   ► I've seen people like this before.

01:19:35 ◼   ► I know what he's doing.

01:19:37 ◼   ► He's making products.

01:19:38 ◼   ► He's selling them.

01:19:39 ◼   ► It makes sense, and the OpenAI people

01:19:41 ◼   ► are more like very confused sort of monks

01:19:45 ◼   ► who have noble, if misguided goals and great ambitions,

01:19:50 ◼   ► but what they increasingly don't have

01:19:53 ◼   ► are people and money to accomplish that,

01:19:55 ◼   ► and it's all through their own kind of,

01:19:58 ◼   ► I'm not gonna say mismanagement,

01:19:59 ◼   ► but through their own apparent misreading of the situation,

01:20:01 ◼   ► which is what did you think you actually have?

01:20:04 ◼   ► Oh, we control the company, and we can fire him,

01:20:06 ◼   ► but if all the employees log in to him

01:20:08 ◼   ► and he goes to Microsoft and all your employees leave,

01:20:10 ◼   ► then you've really got nothing left,

01:20:11 ◼   ► so I feel kind of bad for OpenAI

01:20:14 ◼   ► because I admire the nobility of their mission,

01:20:18 ◼   ► even if I think their reasoning

01:20:19 ◼   ► or predictions are a little bit silly.

01:20:22 ◼   ► I don't particularly admire the nobility

01:20:26 ◼   ► or lack thereof of Sam Altman's ambitions,

01:20:28 ◼   ► but at least it's a devil that I know.

01:20:30 ◼   ► - Yeah, and I think what they created

01:20:34 ◼   ► is so incredibly commercially valuable and commercializable

01:20:39 ◼   ► that I don't think there was any chance

01:20:42 ◼   ► of this going any other way.

01:20:45 ◼   ► The idealists in OpenAI who wanted to keep it,

01:20:48 ◼   ► really, nonprofit for the good of everybody,

01:20:50 ◼   ► that is a noble goal, it's an interesting idea,

01:20:53 ◼   ► but there was no way that's gonna happen.

01:20:55 ◼   ► - I mean, the only way it would've worked

01:20:57 ◼   ► if all the employees agreed,

01:20:59 ◼   ► if they said, "We are OpenAI employees

01:21:02 ◼   ► "because we believe in the mission

01:21:04 ◼   ► "of doing this not for profit,"

01:21:06 ◼   ► because if that was true, they got $10 billion

01:21:08 ◼   ► from Microsoft to run all their stuff,

01:21:09 ◼   ► and they've got 700 loyal employees

01:21:11 ◼   ► who want it to be nonprofit,

01:21:12 ◼   ► and they got one obnoxious CEO

01:21:14 ◼   ► who wants to make a product out of it,

01:21:15 ◼   ► but that wasn't the situation.

01:21:17 ◼   ► Turns out they had 500 employees

01:21:18 ◼   ► who wanted to do what the CEO did,

01:21:20 ◼   ► and that is a big miscalculation.

01:21:22 ◼   ► Maybe the OpenAI board thought,

01:21:24 ◼   ► "This is gonna work.

01:21:25 ◼   ► "All our employees believe in our mission."

01:21:27 ◼   ► That's why when you do those net promoter score surveys

01:21:30 ◼   ► at WorkMarker doesn't know about these.

01:21:31 ◼   ► - No, yeah. - No, remember saying,

01:21:34 ◼   ► that's for our clients, but anyway,

01:21:35 ◼   ► for internally, like, "Do you believe

01:21:36 ◼   ► "in the mission of OpenAI?"

01:21:37 ◼   ► People are like, "Oh, yes, totally."

01:21:39 ◼   ► For the first time since the shove,

01:21:40 ◼   ► they believe in making money and getting rich.

01:21:42 ◼   ► - Yeah, and again, even the reality is just

01:21:45 ◼   ► when you have that many employees,

01:21:47 ◼   ► a lot of them are gonna be paid in stock,

01:21:49 ◼   ► or some kind of stock-based thing,

01:21:50 ◼   ► where the company, if the company does well commercially,

01:21:53 ◼   ► you make more money.

01:21:55 ◼   ► That's really hard for all those employees to say no to.

01:21:58 ◼   ► That's the thing, whatever their ambitions are or were

01:22:03 ◼   ► about being a nonprofit and everything,

01:22:05 ◼   ► again, that is laudable, and the world needs more of that,

01:22:09 ◼   ► but the cards were stacked so hard against them

01:22:12 ◼   ► to achieve that here, because what they were sitting on

01:22:15 ◼   ► is such a goldmine that it's just impossible

01:22:18 ◼   ► to sustain that in the environment around them,

01:22:21 ◼   ► and once they got in with Microsoft,

01:22:24 ◼   ► I think that pretty much was sealing the deal,

01:22:26 ◼   ► "Okay, this is the direction you're gonna go now."

01:22:28 ◼   ► - I mean, but they think they needed to do that.

01:22:31 ◼   ► They couldn't pursue their goal of trying

01:22:32 ◼   ► to make hell9000 without tons and tons of money,

01:22:35 ◼   ► and they were not able to raise it on their own.

01:22:36 ◼   ► They couldn't get people to say, you know what I mean?

01:22:39 ◼   ► It's not like a type of thing where you can just do

01:22:40 ◼   ► one quiet person alone at their personal computer

01:22:43 ◼   ► is gonna have this amazing breakthrough.

01:22:45 ◼   ► The current approach to solving this problem

01:22:47 ◼   ► requires massive amounts of computing,

01:22:49 ◼   ► which requires massive amounts of money,

01:22:51 ◼   ► and you're really gonna be stymied in the attempt

01:22:53 ◼   ► to achieve your goal if you just don't have enough.

01:22:55 ◼   ► I think they raised $130 million or something,

01:22:58 ◼   ► and Microsoft gave them 10 billion.

01:23:00 ◼   ► They weren't even close.

01:23:01 ◼   ► - Yeah, there was no way that the nonprofit side

01:23:08 ◼   ► of their leadership, that side was inevitably going to lose,

01:23:13 ◼   ► and the only question now is how and when.

01:23:15 ◼   ► I think they just did, frankly,

01:23:18 ◼   ► and I think it's only a very short matter of time,

01:23:21 ◼   ► possibly tonight, but it's a very short matter of time

01:23:26 ◼   ► before that entire part of the company,

01:23:28 ◼   ► including the board, is cleared out and replaced.

01:23:32 ◼   ► - Yeah, and also, it's not even clear to me.

01:23:34 ◼   ► I know that OpenAI is viewed as the leader in this area,

01:23:37 ◼   ► but they're not the only company doing large language models.

01:23:40 ◼   ► Like, everybody's got one.

01:23:41 ◼   ► Facebook's got one, Apple reportedly has one,

01:23:43 ◼   ► Google's got one.

01:23:44 ◼   ► Everyone is working on this technology.

01:23:47 ◼   ► It is not like a secret sauce that only OpenAI has.

01:23:49 ◼   ► Maybe they're the best at it.

01:23:50 ◼   ► Maybe they were there first.

01:23:51 ◼   ► Maybe they have advancements we don't know about,

01:23:54 ◼   ► but it's a type of thing that, you know,

01:23:57 ◼   ► it's kind of like, you know, so the iPhone is the best phone

01:24:00 ◼   ► but Android phones exist.

01:24:02 ◼   ► It's not like Apple is the only company in the world

01:24:03 ◼   ► to have a touchscreen smartphone.

01:24:05 ◼   ► It is a thing that exists in the industry,

01:24:07 ◼   ► and that's a hard choice

01:24:08 ◼   ► 'cause it's a platform type thing, but like anything,

01:24:10 ◼   ► like SSDs, everybody's got SSDs.

01:24:11 ◼   ► It's not one company that says,

01:24:13 ◼   ► "Oh, Apple's laptops are better

01:24:14 ◼   ► "'cause they don't have spinning hard drives

01:24:15 ◼   ► "and everyone else does."

01:24:16 ◼   ► No, everybody has SSDs.

01:24:17 ◼   ► It's just who has the best SSDs.

01:24:18 ◼   ► Like, these large language models are so useful

01:24:21 ◼   ► and so widespread, and the fact that OpenAI,

01:24:25 ◼   ► especially in the beginning of their nonprofit existence,

01:24:29 ◼   ► shared all their technology with the world,

01:24:31 ◼   ► they shared their discoveries,

01:24:32 ◼   ► like that was part of their charter

01:24:33 ◼   ► and their mission statement.

01:24:34 ◼   ► Everyone's more or less on the same page with these things.

01:24:36 ◼   ► They're a useful technology.

01:24:38 ◼   ► Everyone is thinking of new ways that they can use them

01:24:41 ◼   ► in their existing products and make new products

01:24:43 ◼   ► that they weren't able to make before

01:24:46 ◼   ► with the student technology.

01:24:48 ◼   ► Whatever happens to OpenAI, that's gonna happen, right,

01:24:51 ◼   ► which is the other absurd thing about the board saying,

01:24:54 ◼   ► "We wanna keep this purity of nonprofit."

01:24:56 ◼   ► Like, even if all of your employees and Sam Alton

01:24:59 ◼   ► agree with you, the whole rest of the industry

01:25:01 ◼   ► is taking this ball and running with it

01:25:02 ◼   ► because it's a useful technology

01:25:04 ◼   ► that you can make money with,

01:25:05 ◼   ► and so they're sticking it in everything.

01:25:07 ◼   ► Will it go beyond that?

01:25:09 ◼   ► Will it, like, you know, the future of these type of things,

01:25:11 ◼   ► will they just get better and better

01:25:12 ◼   ► until they're practically HAL 9000?

01:25:14 ◼   ► We'll see.

01:25:15 ◼   ► Right now they're not, but they're useful.

01:25:16 ◼   ► They're useful right now.

01:25:17 ◼   ► And so everyone wants to have access to them,

01:25:20 ◼   ► and if OpenAI had disappeared from existence,

01:25:23 ◼   ► the rest of the industry would continue forward

01:25:26 ◼   ► with, you know, making fancy code autocomplete

01:25:28 ◼   ► in Xcode 16, for example.

01:25:30 ◼   ► That's gonna happen with or without OpenAI.

01:25:32 ◼   ► But HAL 9000, I don't know if there are any other companies

01:25:36 ◼   ► with anything close to access to the resources

01:25:39 ◼   ► that OpenAI has that are attempting to do that.

01:25:42 ◼   ► Part of the fear of the OpenAI board

01:25:43 ◼   ► is it's just gonna happen accidentally,

01:25:45 ◼   ► and so we better do it deliberately so we can do it right.

01:25:47 ◼   ► I don't think it's gonna happen accidentally

01:25:49 ◼   ► any more than self-driving cars

01:25:50 ◼   ► are gonna happen accidentally, but we'll see.

01:25:52 ◼   ► - Let's do some Ask ATP.

01:25:54 ◼   ► Tim Schmitz writes,

01:25:55 ◼   ► "What's the story with ECC RAM in the Apple Silicon era?

01:25:58 ◼   ► I remember it being important to some folks on Intel,

01:26:00 ◼   ► but I haven't heard much about it lately.

01:26:02 ◼   ► Is it not applicable or relevant on Apple Silicon?

01:26:04 ◼   ► If so, why?"

01:26:06 ◼   ► John, would you mind giving us a quick rehashes

01:26:08 ◼   ► to what ECC RAM is, and then answer Tim's question, please.

01:26:12 ◼   ► - ECC, that stands for Error Correcting Code.

01:26:15 ◼   ► It's a technology used in RAM chips

01:26:17 ◼   ► that will account for errors in the memory

01:26:21 ◼   ► and be able to correct them if the errors are small enough.

01:26:23 ◼   ► So RAM chips, they're not perfect.

01:26:26 ◼   ► They're tiny little analog electronic devices.

01:26:29 ◼   ► What you would hope is that you would write some bits

01:26:30 ◼   ► to one location, and when you read it later,

01:26:31 ◼   ► you get the exact same bits back that you wrote there.

01:26:33 ◼   ► That's how it's supposed to work.

01:26:35 ◼   ► But sometimes you'll read,

01:26:36 ◼   ► and one of those bits will be wrong,

01:26:38 ◼   ► or maybe two of the bits will be wrong.

01:26:40 ◼   ► And why?

01:26:41 ◼   ► Well, electrical issues with the manufacturing of the chips,

01:26:44 ◼   ► cosmic rays, all sorts of things can go wrong.

01:26:47 ◼   ► And you would think,

01:26:48 ◼   ► who cares if one bit is flipped here or there?

01:26:50 ◼   ► But as RAM sizes have increased,

01:26:53 ◼   ► the odds of finding one of those one or two bit errors

01:26:57 ◼   ► has increased as well, because if you find,

01:26:58 ◼   ► oh, that's gonna be one in a million,

01:27:00 ◼   ► how many bits do you think are there on RAM?

01:27:02 ◼   ► Back when you had eight kilobytes of RAM,

01:27:04 ◼   ► there weren't as many bits

01:27:05 ◼   ► as when you have 128 gigabytes of RAM.

01:27:07 ◼   ► So how many errors are there?

01:27:08 ◼   ► More than you might think.

01:27:09 ◼   ► So as RAM sizes have increased,

01:27:12 ◼   ► one of the technologies that was introduced

01:27:14 ◼   ► on really important computers is ECC,

01:27:17 ◼   ► where they say, okay, we store some extra information,

01:27:20 ◼   ► which costs money,

01:27:21 ◼   ► because you're storing more information.

01:27:23 ◼   ► And with that extra information,

01:27:24 ◼   ► we can tell when one of the bits

01:27:26 ◼   ► is not what it's supposed to be.

01:27:27 ◼   ► And in fact, sometimes we store enough information

01:27:28 ◼   ► that we can tell what it was supposed to be,

01:27:30 ◼   ► and we can fix it and change it back.

01:27:32 ◼   ► And so your RAM gives the correct results,

01:27:34 ◼   ► unlike Casey's third-party RAM and his iMac.

01:27:37 ◼   ► And the kind of computers that would do that

01:27:39 ◼   ► were expensive server computers

01:27:40 ◼   ► that people would run important stuff on,

01:27:43 ◼   ► like financial things or banking transactions,

01:27:45 ◼   ► or basically server hardware.

01:27:47 ◼   ► Server hardware would have ECC RAM,

01:27:48 ◼   ► because it's really important

01:27:50 ◼   ► that the contents of RAM be correct.

01:27:52 ◼   ► The consequences of even a single bit being flipped

01:27:54 ◼   ► could cause a security problem or a crash

01:27:57 ◼   ► or something else that you don't want to happen,

01:27:59 ◼   ► because it's a hardware failure.

01:28:00 ◼   ► Back in the day, when the Mac Pro

01:28:02 ◼   ► was a little bit more pro, it came with ECC RAM,

01:28:05 ◼   ► because Intel Xeon CPUs

01:28:09 ◼   ► were their sort of server-class CPUs,

01:28:11 ◼   ► and they supported ECC RAM, and Apple would buy,

01:28:14 ◼   ► and you know, the CPUs from Intel,

01:28:17 ◼   ► and they would get motherboard chipsets from Intel,

01:28:20 ◼   ► and they would support ECC RAM,

01:28:21 ◼   ► and they would put that on their Mac Pro motherboards.

01:28:25 ◼   ► These days, we know what the situation with the Mac Pro is.

01:28:28 ◼   ► It is very much like a Mac Mini

01:28:30 ◼   ► in a much, much, much, much, much, much bigger case

01:28:32 ◼   ► with some extra stuff thrown in there.

01:28:34 ◼   ► These days, Apple does not do as many things

01:28:38 ◼   ► to differentiate the Mac Pro

01:28:40 ◼   ► from the less expensive and vastly smaller computers,

01:28:44 ◼   ► as in they're not designing entirely different RAM,

01:28:48 ◼   ► entirely different SOC, entirely different anything, really,

01:28:52 ◼   ► for the Mac Pro except the big case

01:28:54 ◼   ► and some PCI Express stuff.

01:28:56 ◼   ► The parallel story here is,

01:28:57 ◼   ► and I don't know the details on this,

01:28:58 ◼   ► but as RAM has advanced over the years,

01:29:03 ◼   ► a lot of the new RAM designs

01:29:06 ◼   ► necessarily incorporated a technology much like ECC

01:29:10 ◼   ► just to function correctly,

01:29:11 ◼   ► because they would have various arrangements of bits

01:29:14 ◼   ► or speed enhancements or whatever

01:29:16 ◼   ► that they would incorporate some kind of error correction

01:29:19 ◼   ► within just the regular functioning of the RAM.

01:29:21 ◼   ► You wouldn't call it ECC RAM.

01:29:22 ◼   ► You'd just call it DDR4 or whatever.

01:29:24 ◼   ► But if you looked at what's inside DDR4 RAM,

01:29:28 ◼   ► you'd find some parts of the circuitry

01:29:30 ◼   ► that are there to try to detect and/or correct errors.

01:29:34 ◼   ► That leads us to the question of ECC RAM in Macs today.

01:29:38 ◼   ► Is this something that Apple should have

01:29:41 ◼   ► in their Mac Pros and don't?

01:29:42 ◼   ► Do all Macs with the unified memory architecture

01:29:46 ◼   ► where the ARM chips have ECC RAM?

01:29:49 ◼   ► I would say that much like the keyboards

01:29:50 ◼   ► and everything having to do with the Mac Pro,

01:29:52 ◼   ► the situation is this.

01:29:54 ◼   ► Apple could spend more money to essentially make RAM

01:29:58 ◼   ► that is more resilient to errors in the Mac Pro

01:30:02 ◼   ► and only in the Mac Pro,

01:30:03 ◼   ► because that is the model that costs the most,

01:30:05 ◼   ► and it's where it's most important

01:30:07 ◼   ► that you not have any bit flip errors.

01:30:09 ◼   ► Apple does not do that.

01:30:10 ◼   ► So could it benefit from it?

01:30:14 ◼   ► Yes, it could.

01:30:15 ◼   ► It would cost more money and it would be better.

01:30:16 ◼   ► Would it be better in a way that anybody would care about?

01:30:19 ◼   ► I'm not sure, because again,

01:30:21 ◼   ► I think the RAM that they do use,

01:30:23 ◼   ► like what is the reliability of that RAM

01:30:26 ◼   ► compared to the ECC RAM that was in the old Intel Mac Pros?

01:30:29 ◼   ► Like in absolute numbers, not in terms of like,

01:30:31 ◼   ► well, back then ECC RAM was better than regular RAM.

01:30:35 ◼   ► Today, again, more expensive RAM

01:30:37 ◼   ► with more complicated error correcting

01:30:39 ◼   ► would be better than RAM without it.

01:30:41 ◼   ► But in absolute values, are bit flip errors

01:30:45 ◼   ► in the M2 Ultra more of a problem

01:30:48 ◼   ► than they were on a Xeon with ECC RAM?

01:30:50 ◼   ► I don't know.

01:30:51 ◼   ► So I would follow some of the category of,

01:30:54 ◼   ► if they offered it, I would like it and think it's good.

01:30:57 ◼   ► And practically speaking, especially back in the old days,

01:30:59 ◼   ► ECC RAM did provide better reliability

01:31:02 ◼   ► than that same amount of RAM that was in ECC.

01:31:05 ◼   ► So, you know, if you're wondering

01:31:07 ◼   ► why did my computer have some random crash sometime,

01:31:09 ◼   ► again, ask Casey about this,

01:31:10 ◼   ► was it because you had some kind of problem with the RAM

01:31:12 ◼   ► and would it have been prevented from ECC?

01:31:15 ◼   ► Hard to say, but maybe.

01:31:16 ◼   ► Like there's a reason they sold it

01:31:17 ◼   ► on all those server chips for a long time.

01:31:19 ◼   ► And if you had a server that didn't have ECC

01:31:20 ◼   ► and data center next to one that did

01:31:22 ◼   ► and you had enough of them,

01:31:23 ◼   ► you could see the difference in the reliability of,

01:31:26 ◼   ► you know, across hundreds and hundreds of servers

01:31:28 ◼   ► of ECC versus non-ECC.

01:31:29 ◼   ► Like people weren't paying extra for that ECC RAM

01:31:31 ◼   ► just for the hell of it.

01:31:32 ◼   ► It actually did provide a benefit.

01:31:33 ◼   ► So I think it is applicable.

01:31:36 ◼   ► I think it is relevant to Apple Silicon.

01:31:38 ◼   ► I think we're never gonna get it in the Mac Pro.

01:31:40 ◼   ► So don't hold your breath.

01:31:41 ◼   ► - Chris Glime writes,

01:31:42 ◼   ► "I've undertaken the task of photographing my son's art,"

01:31:45 ◼   ► he just turned five,

01:31:46 ◼   ► "to replace my previous strategy,

01:31:48 ◼   ► which was throwing it in a cardboard box

01:31:49 ◼   ► in the storage room and forgetting about it for years.

01:31:52 ◼   ► Ideally, I will only keep a few of these items

01:31:54 ◼   ► and toss the rest.

01:31:55 ◼   ► And I'm planning to make a photo book

01:31:57 ◼   ► for the grandparents for Christmas.

01:31:58 ◼   ► Thankfully, I was able to borrow

01:31:59 ◼   ► some lighting equipment from work

01:32:00 ◼   ► and I have a decent camera.

01:32:01 ◼   ► I was wondering if you all had a strategy for this.

01:32:04 ◼   ► My strategy is generally speaking,

01:32:06 ◼   ► throwing it in a cardboard box in the storage room

01:32:07 ◼   ► and forgetting about it for years."

01:32:09 ◼   ► (laughing)

01:32:10 ◼   ► So no, I have no good answers for this, unfortunately.

01:32:13 ◼   ► Marco, do you have anything?

01:32:15 ◼   ► - No, I mean, for the most part,

01:32:18 ◼   ► most of my kids' art that is really,

01:32:22 ◼   ► that was like when he was old enough to care

01:32:24 ◼   ► and put time into it,

01:32:26 ◼   ► most of that has actually been in the digital realm.

01:32:29 ◼   ► Like, he's had an iPad for a while

01:32:32 ◼   ► and my wife is really artistic

01:32:34 ◼   ► and introduced him early on to Procreate,

01:32:38 ◼   ► which is this iPad drawing app that everybody uses.

01:32:41 ◼   ► And he does a lot in there.

01:32:44 ◼   ► And so most of what he has artistically

01:32:47 ◼   ► is either stuff on pieces of paper

01:32:49 ◼   ► that are easy to store in different places,

01:32:51 ◼   ► not a lot of three-dimensional stuff,

01:32:53 ◼   ► or drawings in Procreate on iOS,

01:32:55 ◼   ► which of course we back up and everything.

01:32:57 ◼   ► So I don't really have this problem

01:33:00 ◼   ► as much as many parents do

01:33:02 ◼   ► just because my kids' art format is more easily storable.

01:33:07 ◼   ► - Jon?

01:33:09 ◼   ► - My strategy is to take photographs of art

01:33:11 ◼   ► so I can get rid of it because we have the same situation,

01:33:13 ◼   ► just boxes and boxes of the stuff.

01:33:15 ◼   ► For the most part, I just take iPhone pictures.

01:33:17 ◼   ► Like, it's really, especially with just like

01:33:19 ◼   ► rumply kid artwork on construction paper with glue

01:33:22 ◼   ► and the corners are curling, like this, you know,

01:33:25 ◼   ► Chris sent in a picture of like,

01:33:27 ◼   ► he had like a lighting setup and it's big comp,

01:33:29 ◼   ► I'm just like, put it down on someplace with good sunlight

01:33:32 ◼   ► on the floor and take pictures of it with my iPhone.

01:33:34 ◼   ► 'Cause that's all I want.

01:33:35 ◼   ► I can see these are not great works of art

01:33:37 ◼   ► that I need to preserve future generations.

01:33:38 ◼   ► Just don't remember, I'll remember that thing that he made.

01:33:40 ◼   ► And I look at the pictures and make sure they're clear

01:33:42 ◼   ► and not blurry and I can see all the things.

01:33:44 ◼   ► And if there's one that I really, really cared about,

01:33:46 ◼   ► I could square up the edges and put it in Photoshop

01:33:48 ◼   ► and, you know, try to fix the shadows of the curling corners

01:33:51 ◼   ► and do all that stuff.

01:33:52 ◼   ► But I think the, you know, the main goal is kind of like,

01:33:57 ◼   ► you know, scanning the digital photos or negatives,

01:33:59 ◼   ► get it out of the physical realm and into the digital ASAP.

01:34:02 ◼   ► And then you just can't hold onto that stuff.

01:34:04 ◼   ► Kids make a lot of drawings.

01:34:05 ◼   ► So you don't wanna throw it away and never see it again.

01:34:07 ◼   ► But just, you know, use your iPhone,

01:34:09 ◼   ► take a picture and then get rid of it.

01:34:12 ◼   ► - That's also important to kind of distinguish,

01:34:14 ◼   ► like, a lot of kid art that comes home from school,

01:34:19 ◼   ► what, you know, depending on your kid, of course,

01:34:21 ◼   ► you know, in my case, a lot of times it was very easy

01:34:23 ◼   ► to see like, okay, the teacher told him to do this.

01:34:27 ◼   ► And, you know, whatever came home was not really a work

01:34:30 ◼   ► by him, it was a work by the teacher's lesson plan.

01:34:32 ◼   ► And that's fine, there's a place for that.

01:34:34 ◼   ► But it was very obvious when he had made something

01:34:38 ◼   ► that he really cared about, rather than just follow

01:34:41 ◼   ► the template the teacher set out for everybody.

01:34:43 ◼   ► And so for the follow the template stuff,

01:34:46 ◼   ► he didn't care about it and so we didn't have to care

01:34:48 ◼   ► about it, you know, and like, our level of care

01:34:51 ◼   ► would ramp up with his level of care and involvement.

01:34:54 ◼   ► And so when he was doing something like on his own,

01:34:57 ◼   ► you know, of his own accord with his own direction,

01:35:00 ◼   ► that stuff is significantly better and worth keeping

01:35:03 ◼   ► and there's way less of that as a kid goes through school

01:35:06 ◼   ► compared to template stuff that, you know, everyone did.

01:35:10 ◼   ► - Yeah, and there's a hierarchy, like the other thing

01:35:11 ◼   ► you should do with them, aside from taking pictures

01:35:13 ◼   ► and throwing them out, take them really good ones

01:35:15 ◼   ► and frame them.

01:35:16 ◼   ► We have a bunch of select things from various points

01:35:18 ◼   ► in our kids' lives that are in frames, hanging on the wall.

01:35:20 ◼   ► That's another way to preserve them.

01:35:22 ◼   ► Also take digital pictures of those, by the way.

01:35:24 ◼   ► But, you know, you get rid of most of it,

01:35:27 ◼   ► you take a little extra credit, take photos of the gems,

01:35:30 ◼   ► and then the really good ones, put in frames,

01:35:31 ◼   ► put up around your house.

01:35:33 ◼   ► Jimmy West writes, "Do you think the use of technology

01:35:35 ◼   ► "actually makes your lives easier, or if you do it

01:35:38 ◼   ► "because it's more of a hobby?

01:35:40 ◼   ► "These days I try to have as little technology

01:35:41 ◼   ► "in my home as I can.

01:35:43 ◼   ► "I have regular light switches that make the lights

01:35:44 ◼   ► "go on and off, and I don't have any home automations

01:35:47 ◼   ► "of any kind.

01:35:48 ◼   ► "I don't notice my life being appreciatively worse

01:35:50 ◼   ► "because of this.

01:35:51 ◼   ► "In fact, since reducing the use of technology,

01:35:54 ◼   ► "my life has become consistently calmer

01:35:56 ◼   ► "and more stress-free.

01:35:57 ◼   ► "The same is true for my computer these days.

01:35:58 ◼   ► "Time was my menu bar would be filled with stats

01:36:00 ◼   ► "and custom functionality."

01:36:02 ◼   ► Are we sure this wasn't John writing this?

01:36:03 ◼   ► (laughing)

01:36:04 ◼   ► - No, his menu bar never had stats in it.

01:36:07 ◼   ► - "Along with custom icons in the Finder

01:36:09 ◼   ► "and automation scripts, all of which required

01:36:10 ◼   ► "ongoing maintenance and updating.

01:36:12 ◼   ► "Now I have a pretty vanilla installation of Mac OS.

01:36:14 ◼   ► "My second sideline career of being an author,

01:36:16 ◼   ► "I only really hit my stride productivity-wise

01:36:18 ◼   ► "when I got rid of all the complicated software

01:36:20 ◼   ► "and decided to just use a plain and simple text editor.

01:36:23 ◼   ► "Maybe I just like the simple life, and these days

01:36:25 ◼   ► "I only use as much technology as I need.

01:36:27 ◼   ► "But I'm interested to know where the trade-off lies

01:36:30 ◼   ► "for you with the added minor stresses that come

01:36:32 ◼   ► "with incorporating and maintaining technology

01:36:34 ◼   ► "in your home life.

01:36:35 ◼   ► "Do you only use technology which makes your life

01:36:37 ◼   ► "genuinely easier or better?

01:36:38 ◼   ► "Or is there a part of you that convinces yourself

01:36:40 ◼   ► "it's useful because tinkering with tech

01:36:42 ◼   ► "is a bit of a hobby and you find it fun to do?"

01:36:45 ◼   ► I understand what Jamie's coming from here.

01:36:47 ◼   ► I think for me, it's both.

01:36:50 ◼   ► I think unquestionably, it's a hobby.

01:36:53 ◼   ► One does not come up with a three raspberry pie solution

01:36:57 ◼   ► to knowing whether or not your garage door is open

01:36:59 ◼   ► if it isn't a hobby.

01:37:01 ◼   ► That is just straight up lunacy, right?

01:37:04 ◼   ► But knowing when the garage door is open

01:37:07 ◼   ► does indeed make my life better.

01:37:09 ◼   ► So it's a little of both.

01:37:10 ◼   ► I don't have a lot of automations.

01:37:12 ◼   ► In fact, I just went on Automators just a couple,

01:37:15 ◼   ► I think it was probably a month ago now,

01:37:17 ◼   ► and talked about some of the automations I have.

01:37:20 ◼   ► And I don't really have that much.

01:37:23 ◼   ► But the ones I have, I genuinely do think

01:37:26 ◼   ► make my life better.

01:37:27 ◼   ► Would I be fine without them?

01:37:28 ◼   ► Of course, I'd be just fine without them.

01:37:31 ◼   ► But they do make my life a little bit better,

01:37:32 ◼   ► and I like that.

01:37:33 ◼   ► And again, so much of this though is

01:37:37 ◼   ► I like certain kinds of tinkering.

01:37:40 ◼   ► I like certain kinds of projects and stuff like that.

01:37:44 ◼   ► And yeah, this is certainly a hobby.

01:37:46 ◼   ► And ultimately, when I come up with a solution for something,

01:37:52 ◼   ► even if it's just an out of the box solution,

01:37:55 ◼   ► as I have been espousing for a little over a year now

01:37:58 ◼   ► and Marco is now starting to join me,

01:38:00 ◼   ► one of us, one of us,

01:38:01 ◼   ► when you have your sonos playing the same music

01:38:04 ◼   ► in an uninterrupted way,

01:38:06 ◼   ► and without any sort of latency across your entire house,

01:38:09 ◼   ► including your backyard, that's pretty rad.

01:38:12 ◼   ► And granted, that's not as much tinkering as it is

01:38:15 ◼   ► spending a copious amount of money,

01:38:17 ◼   ► but nevertheless, that does make my life better.

01:38:19 ◼   ► That is tech that makes my life better.

01:38:21 ◼   ► So I see it definitely as a lot of column A

01:38:25 ◼   ► and a lot of column B.

01:38:26 ◼   ► But that's where I come down on it.

01:38:27 ◼   ► I don't know, Marco, where do you land?

01:38:29 ◼   ► - I think it depends a lot on the role of technology

01:38:34 ◼   ► in your life.

01:38:35 ◼   ► Are you an enthusiast about technology

01:38:37 ◼   ► and you want to explore stuff like that?

01:38:39 ◼   ► Or are you using it more as a tool to get your job done

01:38:44 ◼   ► and your job might be something else

01:38:46 ◼   ► or something that the technology

01:38:48 ◼   ► is only playing an assistive role in?

01:38:50 ◼   ► And this changes at different points in people's lives

01:38:52 ◼   ► and for different reasons.

01:38:54 ◼   ► For me, when I was younger,

01:38:56 ◼   ► especially my high school and college days,

01:38:59 ◼   ► I was much more of a tinkerer.

01:39:02 ◼   ► And I would spend a lot more of my time,

01:39:04 ◼   ► especially on the software side,

01:39:05 ◼   ► a lot more of my time messing with my,

01:39:09 ◼   ► I didn't have a menu bar yet 'cause I was on Windows,

01:39:11 ◼   ► but messing with my Windows setup

01:39:12 ◼   ► and installing a bunch of different system utilities

01:39:14 ◼   ► and doing up a whole bunch of power user stuff

01:39:16 ◼   ► like tweaking things and messing around with the registry

01:39:19 ◼   ► and making my start button say Marco and stuff.

01:39:22 ◼   ► All sorts of that kind of tinkering stuff that you do,

01:39:25 ◼   ► especially as a young person,

01:39:27 ◼   ► because back then my priorities were,

01:39:31 ◼   ► well, try to get a girlfriend,

01:39:33 ◼   ► but that wasn't going so well.

01:39:34 ◼   ► So instead, I spent as much time on my computer as possible.

01:39:37 ◼   ► (laughing)

01:39:38 ◼   ► And so I was using the computer back then

01:39:42 ◼   ► for the sake of using the computer.

01:39:43 ◼   ► That was the activity.

01:39:44 ◼   ► The activity I was spending most of my time on

01:39:46 ◼   ► was messing around on my computer.

01:39:48 ◼   ► - And actually to interrupt quickly,

01:39:49 ◼   ► because I was very much on the same boat,

01:39:52 ◼   ► a lot of the tinkering was finding an excuse.

01:39:55 ◼   ► I think this is what you're driving at,

01:39:56 ◼   ► but finding an excuse to need more time on the computer.

01:40:01 ◼   ► Like, oh, I don't really need my start button to say Marco,

01:40:04 ◼   ► but if I wanted to figure out how to do that,

01:40:07 ◼   ► that's more time I can spend using this thing,

01:40:09 ◼   ► which is both a toy and a hobby and everything to me.

01:40:13 ◼   ► Like, I probably speak for Marco

01:40:16 ◼   ► and actually probably John as well

01:40:18 ◼   ► in saying that the computer was like everything to me

01:40:21 ◼   ► when I was young because there was just limitless opportunity

01:40:25 ◼   ► to do anything there in a way that I think

01:40:27 ◼   ► is both there today and is very, very different today.

01:40:30 ◼   ► But finding all these things to tinker with

01:40:33 ◼   ► was in no small part for me anyway,

01:40:36 ◼   ► giving me reasons to continue to sit at the computer.

01:40:38 ◼   ► - Yeah, oh, totally, me too.

01:40:40 ◼   ► Like, my activity for the day would be

01:40:42 ◼   ► I'm gonna sit at my computer and I'll find stuff to do.

01:40:45 ◼   ► (laughing)

01:40:46 ◼   ► And largely, today, I actually still largely do that.

01:40:51 ◼   ► I just have more things that I need to do

01:40:54 ◼   ► that are at the computer and I have more things in my life

01:40:58 ◼   ► that break up those times so that I have less time

01:41:02 ◼   ► at the computer than I used to.

01:41:04 ◼   ► But as you go through life, your priorities change,

01:41:08 ◼   ► your needs change, and for the most part,

01:41:12 ◼   ► most people do some degree of specialization.

01:41:15 ◼   ► You specialize in some part of your career

01:41:18 ◼   ► or your hobby life or your family life, whatever,

01:41:20 ◼   ► and that necessitates having less time spent

01:41:24 ◼   ► messing around with stuff like this.

01:41:26 ◼   ► And some people, they make the messing around their career.

01:41:28 ◼   ► To some degree, we do that here by being on a tech podcast,

01:41:32 ◼   ► although, you mentioned automators and other shows

01:41:36 ◼   ► where there are people who go way more in depth

01:41:39 ◼   ► with that side of things than we ever do.

01:41:43 ◼   ► And they've kind of made that a part of their career,

01:41:45 ◼   ► so in some ways, for them, it's both work and play.

01:41:49 ◼   ► The same way, for us, buying new Macs is both work and play.

01:41:54 ◼   ► But for me personally, as I have gone through a career

01:42:01 ◼   ► and adulthood and adult responsibilities

01:42:05 ◼   ► and family responsibilities, my tolerance for tech

01:42:10 ◼   ► that requires a lot of tinkering has gone down over time.

01:42:14 ◼   ► And that happens to a lot of people.

01:42:17 ◼   ► Oftentimes, you find yourself trading money for time,

01:42:22 ◼   ► which is the opposite of when you're in college,

01:42:24 ◼   ► you have no money and tons of time.

01:42:26 ◼   ► And as you get older, a lot of times, you're like,

01:42:29 ◼   ► you know what, rather than figure out how to hack myself

01:42:32 ◼   ► into not needing this extra terabyte of disk space,

01:42:36 ◼   ► I'm just gonna buy the one with a terabyte more

01:42:38 ◼   ► of disk space because your trade-off is different

01:42:42 ◼   ► at that point in your life.

01:42:43 ◼   ► And for me, for what I'm doing this part of my life,

01:42:48 ◼   ► there are some areas that I'm still willing

01:42:51 ◼   ► to do some degree of technological tinkering.

01:42:54 ◼   ► For instance, I mentioned a few episodes ago,

01:42:56 ◼   ► I've been burning these Blu-ray 100 gig M-disk things

01:43:01 ◼   ► for archiving data.

01:43:03 ◼   ► I'm still doing that.

01:43:03 ◼   ► I've burned 26 of them so far.

01:43:06 ◼   ► I have my entire photo library, Tiff's entire photo library,

01:43:09 ◼   ► and now my entire music library all backed up

01:43:11 ◼   ► on these really weird disks.

01:43:14 ◼   ► It took forever.

01:43:15 ◼   ► So there are certain areas like that that I will try,

01:43:19 ◼   ► partly for show content to talk about here,

01:43:21 ◼   ► partly because I'm just interested in them,

01:43:23 ◼   ► but my tolerance for tech that doesn't work very well

01:43:27 ◼   ► or that requires lots of messing with is down to almost zero.

01:43:32 ◼   ► So for instance, smart home stuff is a great example

01:43:35 ◼   ► that Jamie brought up, and this is such a great example.

01:43:37 ◼   ► Smart home stuff leaves you infinite potential

01:43:41 ◼   ► for tinkering, but most of it really doesn't work very well.

01:43:46 ◼   ► Or it'll work for a few weeks,

01:43:48 ◼   ► and then something will change or break,

01:43:51 ◼   ► and then you gotta redo everything

01:43:54 ◼   ► to make it ever work again,

01:43:56 ◼   ► or you have to add these different bridging

01:43:59 ◼   ► and hacking projects or tricks to get this thing

01:44:04 ◼   ► to talk to that thing and then involve this web service

01:44:07 ◼   ► so that this thing can bounce things off the web service

01:44:08 ◼   ► and send this thing and this other thing.

01:44:11 ◼   ► That's where you lose me.

01:44:12 ◼   ► Once you get into that stuff, that's where you lose me,

01:44:15 ◼   ► because that doesn't make things better for me.

01:44:18 ◼   ► But for a lot of people, they are on a different part

01:44:21 ◼   ► of that trade-off continuum of like,

01:44:25 ◼   ► do you want to spend time tinkering

01:44:27 ◼   ► or do you wanna spend time just having stuff work for you

01:44:30 ◼   ► and not messing with it?

01:44:32 ◼   ► So for everyone, it's different, but as I said,

01:44:35 ◼   ► for me, I'm closer now to I just need things to work

01:44:40 ◼   ► because I need to make time for the parts

01:44:45 ◼   ► of my computing life that are more important to me

01:44:47 ◼   ► so that when I do get that precious time sitting

01:44:50 ◼   ► in front of the computer where I don't have

01:44:52 ◼   ► a different obligation that I must be doing at that moment,

01:44:55 ◼   ► I'm able to do the things I really wanna do,

01:44:58 ◼   ► like work on Overcast, like deep programming work

01:45:01 ◼   ► or really creative work.

01:45:04 ◼   ► That's what I wanna make time to do.

01:45:07 ◼   ► And the more I have to mess with my technology,

01:45:10 ◼   ► the less time I have for those higher priority things.

01:45:14 ◼   ► - Jon?

01:45:16 ◼   ► - Yeah, so asking three programmers on a tech podcast

01:45:20 ◼   ► is probably gonna give you a different answer

01:45:21 ◼   ► than the rest of the population.

01:45:22 ◼   ► But yeah, for me, tech has been my hobby, obviously,

01:45:27 ◼   ► since early childhood.

01:45:29 ◼   ► It's also an area of interest,

01:45:31 ◼   ► which I think is different than a hobby

01:45:32 ◼   ► 'cause when people hear hobby, they're like,

01:45:33 ◼   ► oh, it's a thing that you're doing.

01:45:35 ◼   ► It's an interest of mine as well,

01:45:37 ◼   ► kind of in the same way that like cars are.

01:45:40 ◼   ► Like I don't, I spend all this time reading about cars

01:45:43 ◼   ► that I'm never going to own.

01:45:45 ◼   ► A lot of them I'll never even see in person.

01:45:47 ◼   ► It's like, is your hobby cars

01:45:49 ◼   ► or like all these car rebuilding videos?

01:45:50 ◼   ► Are you working on cars?

01:45:51 ◼   ► No, I'm never doing any of that, but I'm interested in it.

01:45:55 ◼   ► I find it interesting.

01:45:56 ◼   ► It is an interest of mine.

01:45:57 ◼   ► So a lot of the tech stuff that I'm into, it's an interest.

01:46:00 ◼   ► Even if I'm never gonna do it, I'm interested in it.

01:46:03 ◼   ► I wanna learn about it.

01:46:04 ◼   ► I wanna know about it.

01:46:05 ◼   ► I find it interesting.

01:46:06 ◼   ► So it is more than just a hobby.

01:46:08 ◼   ► And then of course it was my profession as well

01:46:10 ◼   ► and not in the way that like you use a computer

01:46:13 ◼   ► to help you do your job.

01:46:14 ◼   ► Computers were the job.

01:46:16 ◼   ► It's kind of like being a builder

01:46:17 ◼   ► and you build a hospital.

01:46:18 ◼   ► It's like, oh, you really super into hospitals?

01:46:20 ◼   ► Like, no, I'm a builder.

01:46:21 ◼   ► I build things.

01:46:22 ◼   ► And then you build a fire station.

01:46:23 ◼   ► Oh, I guess you really love fire stations?

01:46:24 ◼   ► Like, no, I'm a builder.

01:46:26 ◼   ► I'll build anything.

01:46:27 ◼   ► I like the task of building.

01:46:30 ◼   ► Well, I was a computer programmer and yes, I was a web dev.

01:46:33 ◼   ► So it was more narrow than just being a builder,

01:46:35 ◼   ► but like I built so many different things

01:46:37 ◼   ► with web technology,

01:46:39 ◼   ► depending on what company I was working for.

01:46:41 ◼   ► So my job was wrangling the computers, right?

01:46:44 ◼   ► The computers were a profession directly.

01:46:47 ◼   ► Not that I'm using a computer to write a novel

01:46:49 ◼   ► and I'm a novelist.

01:46:51 ◼   ► I'm literally wrangling the computers for you.

01:46:54 ◼   ► And it's my hobby and it's my interest.

01:46:57 ◼   ► So as you can imagine, the balance in my life

01:47:01 ◼   ► about trade-offs for technology was massively tilted

01:47:03 ◼   ► towards the tech side.

01:47:05 ◼   ► And the way that manifests in daily life

01:47:07 ◼   ► and sort of home life is for somebody like me,

01:47:10 ◼   ► and I imagine Marco Casey as well,

01:47:12 ◼   ► the personal payoff of getting something set up

01:47:17 ◼   ► the way you want it,

01:47:20 ◼   ► finally got my eMac set up the way I want it,

01:47:22 ◼   ► the personal payoff of getting

01:47:23 ◼   ► the three Raspberry Pi solution or whatever

01:47:26 ◼   ► for people like us very often balances

01:47:30 ◼   ► the amount of tinkering required to get there.

01:47:32 ◼   ► Even Marco doesn't want to deal with a lot of stuff.

01:47:35 ◼   ► He does deal with a lot of stuff,

01:47:36 ◼   ► even if it's just buying and returning products

01:47:38 ◼   ► and getting them set up and seeing how they work.

01:47:40 ◼   ► There is some amount of tinkering

01:47:42 ◼   ► and engaging in that hobby.

01:47:44 ◼   ► And the reward is when you come in

01:47:46 ◼   ► and it's finally set up the way you want

01:47:47 ◼   ► and the music plays the way you want

01:47:49 ◼   ► and you use the voice command, the lights go on

01:47:50 ◼   ► and the automatic thermostat does all the things,

01:47:53 ◼   ► you get a level of satisfaction out of that.

01:47:55 ◼   ► And if you are in a house with people

01:47:57 ◼   ► who are not exactly like you in that regard,

01:48:00 ◼   ► you have something to compare it to,

01:48:01 ◼   ► which is, yeah, they like it fine when the lights work

01:48:05 ◼   ► and you can watch stuff on the TV.

01:48:07 ◼   ► But you're over there going,

01:48:10 ◼   ► see, did you see how well that worked?

01:48:12 ◼   ► They didn't do any of the work to set it up.

01:48:14 ◼   ► And this amount of satisfaction they're getting

01:48:17 ◼   ► out of this pristine 4K television signal

01:48:20 ◼   ► going to your fancy TV that you researched,

01:48:21 ◼   ► they're like, oh, I guess TV works.

01:48:23 ◼   ► They didn't even have to do the work.

01:48:25 ◼   ► And their scales, it takes so little

01:48:28 ◼   ► to unbalance their scales.

01:48:29 ◼   ► That TV doesn't work one time, this is garbage.

01:48:32 ◼   ► I hate everything that you've done here,

01:48:33 ◼   ► get rid of it, right?

01:48:35 ◼   ► And we're willing to put in hours and hours

01:48:37 ◼   ► of buying products and hooking them up

01:48:38 ◼   ► and doing all this stuff or whatever,

01:48:39 ◼   ► if we want to get that satisfaction,

01:48:41 ◼   ► now it's finally working the way I want.

01:48:42 ◼   ► Even in the marketplace, it finally works

01:48:45 ◼   ► without me having to deal with it.

01:48:46 ◼   ► You put in effort to get to that goal.

01:48:49 ◼   ► No one else, even though no one else is asked

01:48:52 ◼   ► to put in any of that effort,

01:48:53 ◼   ► so if there's any downside whatsoever,

01:48:55 ◼   ► they're like, oh, scales unbalanced, I don't like this.

01:48:58 ◼   ► I just want the light switches to work it.

01:48:59 ◼   ► If the lights don't turn on one time,

01:49:01 ◼   ► even though they put in zero amount of effort

01:49:03 ◼   ► to make this home automation, it's like, nope.

01:49:06 ◼   ► Every time lights do come on,

01:49:09 ◼   ► do you think they're getting some amazing satisfaction

01:49:11 ◼   ► of knowing that the giant Rube Goldberg machine

01:49:13 ◼   ► that you put together to make that happen?

01:49:14 ◼   ► Nope, nope, they just want the lights to work.

01:49:16 ◼   ► And so everyone has to balance that differently.

01:49:19 ◼   ► And I think maybe the key to at least family happiness

01:49:23 ◼   ► within a household is to realize

01:49:24 ◼   ► that if it is your hobby, your interest,

01:49:27 ◼   ► your profession, or God forbid, all three,

01:49:30 ◼   ► your satisfaction when everything comes together

01:49:36 ◼   ► is not experienced by other people.

01:49:38 ◼   ► And so the second something doesn't work,

01:49:42 ◼   ► they will give it a thumbs down.

01:49:44 ◼   ► And when it does work, they will think nothing of it.

01:49:46 ◼   ► And so keep that in mind when trying to balance,

01:49:50 ◼   ► like, is it a benefit to your life,

01:49:52 ◼   ► or is it like a hindrance?

01:49:54 ◼   ► You're not the only one, if you're living with other people,

01:49:57 ◼   ► you're not the only one who's in play here.

01:49:59 ◼   ► You have to think about how it's affected

01:50:00 ◼   ► everyone else's life.

01:50:01 ◼   ► And by the way, as you know, if they're unhappy,

01:50:04 ◼   ► you're probably also gonna be unhappy.

01:50:06 ◼   ► So it's not as if you can say,

01:50:08 ◼   ► well, I'm satisfied with this trade off or whatever.

01:50:11 ◼   ► If everyone else in the house hates it,

01:50:12 ◼   ► you will eventually not be satisfied with that trade off.

01:50:14 ◼   ► So self reflection is the right approach,

01:50:17 ◼   ► including being true to yourself and knowing,

01:50:20 ◼   ► I do like this stuff.

01:50:21 ◼   ► I am interested in it.

01:50:22 ◼   ► I do, like Casey's part of the project,

01:50:25 ◼   ► he wants to do it for the sake of doing it

01:50:26 ◼   ► and it's fun and he feels a sense of competence

01:50:28 ◼   ► when he's done and he has to realize that's a him thing.

01:50:30 ◼   ► (laughing)

01:50:32 ◼   ► That is not a rest of the house thing.

01:50:33 ◼   ► And let people have hobbies.

01:50:35 ◼   ► Like let, enjoy your interests.

01:50:37 ◼   ► That's what life is all about.

01:50:38 ◼   ► You know, just like if you have hobbies and interests,

01:50:40 ◼   ► engage in them in a constructive way

01:50:42 ◼   ► and get as much enjoyment out of it as you can.

01:50:44 ◼   ► And hopefully you enjoy your work

01:50:46 ◼   ► and hopefully you're doing something in your profession

01:50:47 ◼   ► that is also something that you enjoy,

01:50:50 ◼   ► or at least have some kind of interest in,

01:50:52 ◼   ► but be aware that other people have different opinions

01:50:54 ◼   ► about the thrill they get when it works

01:50:57 ◼   ► and the feeling they get when it doesn't work.

01:51:00 ◼   ► - Thanks to our sponsor this week, Squarespace.

01:51:03 ◼   ► And thanks to our members who support us directly.

01:51:05 ◼   ► You can join us at ATP.fm/join.

01:51:08 ◼   ► And we will talk to you next week.

01:51:11 ◼   ► (upbeat music)

01:51:13 ◼   ► ♪ Now the show is over ♪

01:51:16 ◼   ► ♪ They didn't even mean to begin ♪

01:51:18 ◼   ► ♪ 'Cause it was accidental ♪

01:51:20 ◼   ► ♪ Accidental ♪

01:51:21 ◼   ► ♪ Oh, it was accidental ♪

01:51:22 ◼   ► ♪ Accidental ♪

01:51:24 ◼   ► ♪ John didn't do any research ♪

01:51:26 ◼   ► ♪ Marco and Casey wouldn't let him ♪

01:51:29 ◼   ► ♪ 'Cause it was accidental ♪

01:51:31 ◼   ► ♪ Accidental ♪

01:51:32 ◼   ► ♪ Oh, it was accidental ♪

01:51:33 ◼   ► ♪ Accidental ♪

01:51:34 ◼   ► ♪ And you can find the show notes at ATP.fm ♪

01:51:39 ◼   ► ♪ And if you're into Twitter ♪

01:51:42 ◼   ► ♪ You can follow them at C-A-S-E-Y-L-I-S-S ♪

01:51:47 ◼   ► ♪ So that's Casey List M-A-R-C-O-A-R-M ♪

01:51:53 ◼   ► ♪ N-T-M-A-R-C-O-R-M-N-S-I-R-A-C ♪

01:51:58 ◼   ► ♪ U-S-A-C-R-A-C-U-S-A ♪

01:52:00 ◼   ► ♪ It's accidental ♪

01:52:02 ◼   ► ♪ Accidental ♪

01:52:04 ◼   ► ♪ They didn't mean to accidental ♪

01:52:07 ◼   ► ♪ Accidental ♪

01:52:09 ◼   ► ♪ Tech podcast ♪

01:52:11 ◼   ► ♪ So long ♪

01:52:13 ◼   ► - So did we order our IE pins yet?

01:52:17 ◼   ► - Yeah, totally.

01:52:19 ◼   ► - Can you order them?

01:52:20 ◼   ► Are they accepting orders?

01:52:21 ◼   ► - Yes, so here's what happened.

01:52:23 ◼   ► So a couple episodes ago,

01:52:25 ◼   ► like right before we recorded,

01:52:28 ◼   ► The Verge got the leak of most of the details

01:52:31 ◼   ► about the humane AI pin that was about to be unveiled.

01:52:35 ◼   ► We did our episode, we talked a little bit

01:52:36 ◼   ► about our impressions of just seeing The Verge leak.

01:52:39 ◼   ► And we were like, well, you know,

01:52:40 ◼   ► we don't wanna judge it too much

01:52:42 ◼   ► because we don't know their side of the story yet.

01:52:44 ◼   ► Let's see what happens when they officially unveil it.

01:52:48 ◼   ► Then the next day, they officially unveiled it

01:52:51 ◼   ► with this really odd video and opened up preorders.

01:52:56 ◼   ► And then what happened in the meantime

01:52:59 ◼   ► is preorders opened up, no one noticed,

01:53:02 ◼   ► and then all this stuff blew up with open AI

01:53:04 ◼   ► a few days later. (laughs)

01:53:06 ◼   ► And so it seemed to breeze by without much mention.

01:53:10 ◼   ► And I think if I had to guess,

01:53:12 ◼   ► I think humane's chance in the press is already over.

01:53:17 ◼   ► But I thought it might be interesting

01:53:19 ◼   ► to just talk about it a little more

01:53:20 ◼   ► because we did get more details

01:53:23 ◼   ► about the humane AI pin product, their first product.

01:53:26 ◼   ► And this is, it's kind of a, it's a noteworthy thing.

01:53:30 ◼   ► But I think it's interesting,

01:53:31 ◼   ► the era of technology that we are in,

01:53:35 ◼   ► all of this drama around open AI

01:53:39 ◼   ► has gotten way more attention

01:53:41 ◼   ► and is way more interesting to the tech press

01:53:43 ◼   ► than a launch of a pretty hyped device

01:53:50 ◼   ► that's a whole new device type

01:53:51 ◼   ► from a whole bunch of ex-Apple people.

01:53:53 ◼   ► That, 10, 15 years ago,

01:53:57 ◼   ► that would have been way more headline-grabbing

01:53:59 ◼   ► than it ends up that it has been

01:54:02 ◼   ► and way more relevant, I think, to the modern tech world

01:54:05 ◼   ► than it will probably end up being.

01:54:08 ◼   ► So I think that's interesting by itself.

01:54:09 ◼   ► But also just kind of looking at the humane product,

01:54:13 ◼   ► now that we know all the details about it,

01:54:16 ◼   ► or at least whatever they have chosen to show so far,

01:54:18 ◼   ► Verg seems like pretty much everything.

01:54:20 ◼   ► What, if anything, is different,

01:54:26 ◼   ► like now that they've unveiled it,

01:54:27 ◼   ► basically everything that Verg said was correct,

01:54:29 ◼   ► but now we just have more details

01:54:32 ◼   ► about what some of its features are,

01:54:34 ◼   ► how some of these features work.

01:54:36 ◼   ► We see the laser thing that, don't call it a screen screen.

01:54:41 ◼   ► We see how humane is positioning it,

01:54:44 ◼   ► what they want it to be.

01:54:46 ◼   ► It has all these, basically,

01:54:49 ◼   ► it's kind of like wearing an Amazon Echo on your chest

01:54:51 ◼   ► that happens to have a few extra features.

01:54:53 ◼   ► I gotta say, the video,

01:54:58 ◼   ► and again, the video was really weird,

01:55:02 ◼   ► and I'm just gonna set that aside

01:55:04 ◼   ► and just focus on the product,

01:55:05 ◼   ► 'cause the video didn't do them any favors, I don't think.

01:55:08 ◼   ► But at least we see what they're going for.

01:55:12 ◼   ► We see, here's this thing that you're gonna wear

01:55:15 ◼   ► as this, basically as this badge on your chest

01:55:18 ◼   ► that you tap and ask it to do things.

01:55:22 ◼   ► It can play music for you,

01:55:24 ◼   ► it can answer questions for you sometimes correctly.

01:55:28 ◼   ► It can take pictures for you with a camera

01:55:32 ◼   ► that faces front, like a body cam if you're a cop,

01:55:35 ◼   ► like it's that kind of perspective.

01:55:36 ◼   ► There's a whole bunch of interesting ideas here.

01:55:43 ◼   ► I don't think this is going to go well.

01:55:47 ◼   ► I would actually, I would honestly kind of be surprised

01:55:52 ◼   ► if they made it to their launch day.

01:55:55 ◼   ► They're taking pre-orders now,

01:55:58 ◼   ► and they say estimated delivery early 2024,

01:56:00 ◼   ► but I would be surprised if they're getting any pre-orders

01:56:06 ◼   ► that aren't just from my gadget reviewers,

01:56:09 ◼   ► and even then, I don't think

01:56:10 ◼   ► it's gonna be that big of a number.

01:56:11 ◼   ► But anyway, but I think it's interesting,

01:56:14 ◼   ► when you look at this product,

01:56:16 ◼   ► there are a lot of interesting ideas.

01:56:18 ◼   ► It's definitely going to flop,

01:56:22 ◼   ► and I think it's going to flop because they seem to have,

01:56:27 ◼   ► how do I put it?

01:56:31 ◼   ► I mean, they seem to have gone

01:56:33 ◼   ► for an ideal physical environment

01:56:36 ◼   ► that doesn't really exist for a lot of people

01:56:38 ◼   ► based on tech features that really aren't ready yet.

01:56:42 ◼   ► Or in some cases, they pulled off technology that is cool,

01:56:45 ◼   ► but is not actually better

01:56:47 ◼   ► than what they are trying to replace.

01:56:49 ◼   ► So for instance, the physical challenges.

01:56:52 ◼   ► As discussed last time, this is like a pin

01:56:56 ◼   ► that attaches to your clothing,

01:56:58 ◼   ► has magnetic backs to hold it on and charge it.

01:57:01 ◼   ► I mean, okay, what if I don't want this giant thing

01:57:04 ◼   ► on the front of my shirt?

01:57:06 ◼   ► It's pretty big, it's pretty noticeable.

01:57:08 ◼   ► It's not like a little tiny enamel pin.

01:57:10 ◼   ► It's a big badge-sized pin.

01:57:14 ◼   ► It is not discreet at all.

01:57:16 ◼   ► Anyone would see this,

01:57:18 ◼   ► and anyone who doesn't know what this is

01:57:20 ◼   ► would definitely ask you about it.

01:57:21 ◼   ► What the heck is that?

01:57:22 ◼   ► What is on your shirt?

01:57:24 ◼   ► So there's that angle of it.

01:57:26 ◼   ► There's the reality that it weighs about

01:57:29 ◼   ► as much as two AA batteries,

01:57:31 ◼   ► which is not heavy but not light.

01:57:33 ◼   ► And imagine that just flopping around in your chest all day.

01:57:37 ◼   ► That would actually be noticeable,

01:57:39 ◼   ► and that would be kind of annoying.

01:57:41 ◼   ► If you're wearing any kind of lightweight clothing,

01:57:42 ◼   ► that's gonna be very noticeable.

01:57:45 ◼   ► Suppose it's a season, and you wanna go outside

01:57:50 ◼   ► and put a jacket on or a hoodie or something.

01:57:52 ◼   ► Do you have to not have the features of this thing

01:57:54 ◼   ► during that time, or do you take it off your shirt

01:57:57 ◼   ► and move it to your jacket?

01:57:59 ◼   ► Every time you add or remove a layer of clothing,

01:58:01 ◼   ► it's gonna be a problem with this kind of device?

01:58:04 ◼   ► Like, okay.

01:58:05 ◼   ► - Well, but Marco, I don't understand why you would say

01:58:08 ◼   ► that that would be an issue.

01:58:10 ◼   ► First of all, how could they possibly know,

01:58:11 ◼   ► a company based in the greater San Francisco area,

01:58:14 ◼   ► how could they possibly know anything

01:58:16 ◼   ► about putting on and off layers?

01:58:17 ◼   ► I mean, that's not something

01:58:18 ◼   ► that happens in San Francisco ever.

01:58:19 ◼   ► - I know, it's like,

01:58:20 ◼   ► again, and even just the whole concept of like,

01:58:25 ◼   ► I hate my phone so much that I'm going to wear this thing

01:58:31 ◼   ► and use it instead of a phone in many cases

01:58:33 ◼   ► for things that really a phone would be better at.

01:58:36 ◼   ► But the environment that they wanna use this in,

01:58:40 ◼   ► it's like, I don't wanna be talking to something

01:58:45 ◼   ► constantly out in the world.

01:58:47 ◼   ► I barely even wanna do it in my own house.

01:58:50 ◼   ► Like, the idea that it is a voice-first interface,

01:58:53 ◼   ► I find optimistic, but not super compelling

01:58:57 ◼   ► for most realities that most people live in.

01:59:01 ◼   ► They also try to replace the screen.

01:59:04 ◼   ► This is a screenless device, kind of,

01:59:07 ◼   ► but it does have that laser projecting thing

01:59:12 ◼   ► that can project a screen onto your hand.

01:59:15 ◼   ► You know, they don't call it a screen,

01:59:16 ◼   ► but I got news for you, that's a screen.

01:59:19 ◼   ► Like, that's just a really weird, crappy screen

01:59:23 ◼   ► that is very limited and a little bit difficult to use.

01:59:26 ◼   ► - Excuse me, it is a laser ink display, thank you very much.

01:59:31 ◼   ► - But yeah, and again, that's kind of cool tech

01:59:34 ◼   ► for something, like I'm sure there's good uses for that,

01:59:35 ◼   ► but when it showed it in the video, I was like,

01:59:37 ◼   ► oh, you're just navigating a screen.

01:59:40 ◼   ► It just happens to be projected onto your hand

01:59:42 ◼   ► and you gotta tilt your hand

01:59:43 ◼   ► and weird ways to interact with it,

01:59:45 ◼   ► but that's just a screen.

01:59:46 ◼   ► It's just like what John always brings up,

01:59:49 ◼   ► when I tried to have my magazine app

01:59:51 ◼   ► that didn't have a settings screen,

01:59:53 ◼   ► and it ends up I just kinda had to shove settings everywhere

01:59:55 ◼   ► and it was a worse design

01:59:56 ◼   ► and I ended up just having to make a settings screen.

01:59:58 ◼   ► In this case, navigating this device,

02:00:00 ◼   ► what they were showing in the video,

02:00:03 ◼   ► they're using a device with a screen.

02:00:05 ◼   ► It's just a really unusual kind of screen,

02:00:07 ◼   ► but they were still navigating it like a screen

02:00:10 ◼   ► and using it like a screen,

02:00:11 ◼   ► and it turns out you need a screen

02:00:13 ◼   ► for a lot of these things.

02:00:14 ◼   ► And if you're gonna have a screen, just use your phone.

02:00:18 ◼   ► It's way better. (laughs)

02:00:21 ◼   ► So there's all that to contend with,

02:00:23 ◼   ► and so I think they have a lot of physical challenges

02:00:28 ◼   ► to this, that there is just, physically speaking,

02:00:31 ◼   ► I don't see any reason why this is better

02:00:34 ◼   ► than a phone and a watch.

02:00:36 ◼   ► For all of the ambient availability that they have on it,

02:00:41 ◼   ► it should be a watch, 'cause a watch is physically

02:00:45 ◼   ► a much easier and more versatile thing

02:00:47 ◼   ► that can work for more people in more conditions than this.

02:00:50 ◼   ► And even then, it's like, but I mean,

02:00:53 ◼   ► this is not that different from what a phone does,

02:00:56 ◼   ► and a phone is better at all these things,

02:00:58 ◼   ► and you already have a phone.

02:01:00 ◼   ► But I also think what's interesting is that

02:01:02 ◼   ► the ecosystem realities of the modern technological world

02:01:07 ◼   ► is like, even if this was a great idea

02:01:11 ◼   ► that was very well executed and that everybody would want,

02:01:15 ◼   ► the reality is they're trying to have this

02:01:18 ◼   ► replace your phone in a lot of key roles,

02:01:22 ◼   ► including things like, it has its own phone number,

02:01:26 ◼   ► they want people to call this and to message this, okay.

02:01:31 ◼   ► So you're gonna give people a whole new number

02:01:35 ◼   ► just for your AI pin, or are you gonna move your number

02:01:37 ◼   ► to it and then not have that number on your phone?

02:01:40 ◼   ► Are people supposed to text this,

02:01:43 ◼   ► and then it's just gonna read you a summary

02:01:45 ◼   ► of your friends' text messages, like hey, you know what,

02:01:47 ◼   ► I don't actually wanna read my friends' text messages,

02:01:50 ◼   ► just summarize them for me. (laughs)

02:01:52 ◼   ► Like, there are so many parts about this

02:01:54 ◼   ► that it makes for a cool two-second demo,

02:01:58 ◼   ► but if you think about it for another two seconds,

02:02:00 ◼   ► you're like, oh, wait a minute, though,

02:02:01 ◼   ► but what about this, or wait, wouldn't this fail

02:02:05 ◼   ► in this one way, or wouldn't this have

02:02:06 ◼   ► this major shortcoming?

02:02:08 ◼   ► But I think it's interesting that because

02:02:11 ◼   ► of the ecosystem realities of our tech world today,

02:02:15 ◼   ► because this is trying to replace your phone,

02:02:17 ◼   ► it has no chance whatsoever, because who is gonna buy this

02:02:21 ◼   ► to replace their phone if it's not going to sync

02:02:24 ◼   ► all this stuff back to their phone?

02:02:27 ◼   ► Like, it's not gonna sync with your,

02:02:29 ◼   ► it's not gonna have iMessage support,

02:02:31 ◼   ► so you're gonna become a green bubble friend,

02:02:33 ◼   ► and it's gonna sync to nothing, you're gonna have,

02:02:36 ◼   ► like, none of your messages that come to your AI pin

02:02:38 ◼   ► are gonna appear in your phone's messaging app,

02:02:41 ◼   ► 'cause it doesn't work that way.

02:02:43 ◼   ► You have to have this different phone number for it,

02:02:46 ◼   ► maybe you could do some kind of forwarding tricks,

02:02:48 ◼   ► but who's gonna do that?

02:02:49 ◼   ► So, it's interesting that the modern Apple

02:02:53 ◼   ► and Google duopoly here, there's actually not that much room

02:02:56 ◼   ► for a startup like this to come in and make their own thing,

02:02:59 ◼   ► because unless it works really, really well,

02:03:02 ◼   ► and is very, very integrated with either iOS or Android,

02:03:06 ◼   ► something like this is not gonna get off the ground,

02:03:08 ◼   ► which is kind of a shame.

02:03:09 ◼   ► Like, honestly, again, I don't think they did,

02:03:12 ◼   ► I don't think this is a very compelling product, honestly,

02:03:14 ◼   ► but suppose it was, it still would fail,

02:03:19 ◼   ► because of that massive hardware lock-in environment

02:03:23 ◼   ► that we are in now with these modern platforms,

02:03:25 ◼   ► and that's kind of a shame, but ultimately, honestly,

02:03:29 ◼   ► I don't think this is what Humain originally intended

02:03:33 ◼   ► to launch, the Humain company and the massive talent drain

02:03:38 ◼   ► they did from Apple and all the work they've been doing

02:03:41 ◼   ► greatly predates the rise of what we're calling AI today.

02:03:47 ◼   ► What we're calling AI today is a very recent thing.

02:03:50 ◼   ► Humain's been in development for longer than that.

02:03:52 ◼   ► So I think what probably happened is they were probably

02:03:56 ◼   ► planning something else, or at least a very different focus

02:04:00 ◼   ► for this product, it wasn't working out so well,

02:04:04 ◼   ► they started running out of money, maybe,

02:04:05 ◼   ► or running out of time, and they kind of pivoted recently

02:04:09 ◼   ► to be like, hey, you know what, let's make it really AI

02:04:11 ◼   ► focused, that way that'll get more attention,

02:04:13 ◼   ► it'll fit the current market better,

02:04:15 ◼   ► maybe it'll help us raise more money or whatever.

02:04:17 ◼   ► So I think there's a more complicated story here,

02:04:21 ◼   ► but basically, this product doesn't even seem like

02:04:24 ◼   ► what they originally set out to make,

02:04:26 ◼   ► and also, it doesn't seem like it's going to succeed at all.

02:04:29 ◼   ► So frankly, again, I would be surprised if it ships.

02:04:34 ◼   ► I think the company might go under and get bought

02:04:36 ◼   ► for AquaHire or whatever before this even ships.

02:04:41 ◼   ► And if it does ship, I don't think it's gonna last long.

02:04:46 ◼   ► - I talked about this for a while

02:04:47 ◼   ► in the upcoming episode of Rectiffs,

02:04:49 ◼   ► so I won't repeat too much of what I said there,

02:04:50 ◼   ► if you wanna hear me talk about it

02:04:51 ◼   ► for a little bit longer with Merlin.

02:04:54 ◼   ► But yeah, this thing, it's kind of hard to tell

02:04:58 ◼   ► when they talk about it, whether they really believe

02:05:03 ◼   ► this wrong-headed idea of replacing people's phones,

02:05:05 ◼   ► as in any moment you spend on your phone is bad,

02:05:07 ◼   ► and so to the degree that we can reduce that or replace it,

02:05:10 ◼   ► our product is good, this kind of value judgment,

02:05:13 ◼   ► everything that we can help you do with your little badge,

02:05:17 ◼   ► that's a win, because it's time you didn't spend

02:05:19 ◼   ► on your phone, and that's why it's good,

02:05:21 ◼   ► because phone is bad and this is good.

02:05:24 ◼   ► I can't tell if they really believe that.

02:05:26 ◼   ► I kind of think maybe they do,

02:05:28 ◼   ► and that's what makes you think this is actually

02:05:29 ◼   ► kind of the product they wanted to make,

02:05:31 ◼   ► which is essentially, get off those screens, kids,

02:05:35 ◼   ► and don't look at screens,

02:05:38 ◼   ► and just have a thing that's a badge,

02:05:39 ◼   ► and I think the AI stuff coming along was like,

02:05:41 ◼   ► "Wow, this is a great boon for us,"

02:05:42 ◼   ► 'cause we were already going down this path

02:05:44 ◼   ► of like, screens bad, project light onto your hand instead

02:05:47 ◼   ► and talk to your badge,

02:05:47 ◼   ► and now we can do it even better, right?

02:05:49 ◼   ► But it's hard for me to really,

02:05:52 ◼   ► if they really did believe that, it's like, really?

02:05:54 ◼   ► Did these smart people all really buy into that thing?

02:05:57 ◼   ► Maybe they had a very charismatic leader

02:06:00 ◼   ► who really believed in that or something?

02:06:02 ◼   ► The flip side of that is what you just alluded to,

02:06:03 ◼   ► and what I mostly spent all rectives talking about,

02:06:06 ◼   ► the platform problem.

02:06:08 ◼   ► A product like this, essentially an Amazon Echo,

02:06:11 ◼   ► a smarter Amazon Echo that you pin on your clothing

02:06:15 ◼   ► that you can talk to and that has a camera

02:06:17 ◼   ► that faces out or whatever, great idea.

02:06:20 ◼   ► Unfortunately, you cannot make that product

02:06:22 ◼   ► without deep integration with Android or iOS,

02:06:26 ◼   ► and the only companies that can have

02:06:27 ◼   ► that kind of deep integration with Android or iOS

02:06:30 ◼   ► are companies that are currently heavily entrenched in that,

02:06:34 ◼   ► either Google, because they make Android,

02:06:36 ◼   ► or a very big Google phone maker like Samsung or whatever,

02:06:40 ◼   ► or of course, Apple.

02:06:41 ◼   ► Humane out here cannot have the integration they need

02:06:45 ◼   ► with the iPhone and iOS to make a good version

02:06:48 ◼   ► of their little badgy product,

02:06:49 ◼   ► because Apple doesn't allow it,

02:06:51 ◼   ► because their platform does not allow

02:06:53 ◼   ► things like this to happen.

02:06:54 ◼   ► And rectives, the example I gave was Quicksilver,

02:06:56 ◼   ► we ended up talking about like, you know,

02:06:58 ◼   ► command space things that you type or whatever.

02:07:00 ◼   ► macOS as a platform was able to,

02:07:04 ◼   ► and continues to be able to, support things like this.

02:07:07 ◼   ► A system integrated extension that starts to become

02:07:10 ◼   ► part of the way you use your computer,

02:07:11 ◼   ► that the person who made that computer

02:07:13 ◼   ► and the operating system didn't foresee,

02:07:15 ◼   ► but that becomes like, that is like deeply entrenched,

02:07:19 ◼   ► hitting command space, I don't know if Spotlight exists,

02:07:21 ◼   ► but before Spotlight exists, there was things like Quicksilver

02:07:23 ◼   ► and Launchpad and stuff like that, right?

02:07:26 ◼   ► A, what we would call a system extension.

02:07:28 ◼   ► The things that the AI pin would have to do

02:07:31 ◼   ► would have to make it like a system extension.

02:07:33 ◼   ► It's the same reason we can't replace Siri

02:07:34 ◼   ► with something better, the same reason

02:07:36 ◼   ► we can't replace reminders, it's like the iPhone ecosystem

02:07:40 ◼   ► is too closed to support innovation like this

02:07:43 ◼   ► unless it comes from Apple.

02:07:44 ◼   ► That is, when you're saying this is a shame, Marco,

02:07:45 ◼   ► that is the biggest shame of it,

02:07:47 ◼   ► is that Apple's control of this platform

02:07:49 ◼   ► does not allow innovations like this to be successful.

02:07:52 ◼   ► The only company that could do a pin like that well

02:07:55 ◼   ► is Apple on the iPhone.

02:07:57 ◼   ► And on Android, it's a little bit better, but not much,

02:07:59 ◼   ► because Google really controls that platform very well,

02:08:01 ◼   ► and there's a small number of Android phone makers

02:08:04 ◼   ► that have the wherewithal to do their own software stacks

02:08:06 ◼   ► and that kind of integration.

02:08:07 ◼   ► And by the way, if you do something Google doesn't like,

02:08:09 ◼   ► they're not gonna let you in the Play Store,

02:08:11 ◼   ► and then you get, you know, it's,

02:08:12 ◼   ► these platforms are not as open as the personal computer

02:08:15 ◼   ► and the Mac's were, right?

02:08:17 ◼   ► Because there are so many things

02:08:19 ◼   ► that we continue to do to this day,

02:08:20 ◼   ► even as locked down as the Mac is today,

02:08:22 ◼   ► there are so many things that you can,

02:08:24 ◼   ► that a third party can do to enhance the way a Mac works

02:08:28 ◼   ► at a system level that feels part of the system

02:08:30 ◼   ► that allows innovation that yes,

02:08:32 ◼   ► eventually the platform owner copies like,

02:08:33 ◼   ► oh, someone made a menu bar, a clock in the menu bar.

02:08:36 ◼   ► Eventually Apple's gonna put that into the operating system,

02:08:38 ◼   ► but that's how things advance.

02:08:39 ◼   ► And iOS, it's like, run your little apps

02:08:42 ◼   ► in your little sandbox in your little world

02:08:44 ◼   ► and get your little, you know, squircle, right?

02:08:46 ◼   ► But don't you dare mess with any other part of the system.

02:08:48 ◼   ► We control notifications, we control the status bar,

02:08:51 ◼   ► we control the default, you know, the web browser,

02:08:55 ◼   ► the AI agent that's installed, the default mapping thing,

02:08:58 ◼   ► and like to the degree that Apple slowly opens that stuff up,

02:09:02 ◼   ► they're so far from allowing something

02:09:05 ◼   ► like the humane pin to work.

02:09:07 ◼   ► So I feel for the company and that's why I think,

02:09:09 ◼   ► did you make this because you think

02:09:11 ◼   ► this is the best thing to do?

02:09:12 ◼   ► Or did you make it like this because you have no choice?

02:09:15 ◼   ► It has to have its own phone number.

02:09:17 ◼   ► It can't sync, it can't use iMessage.

02:09:19 ◼   ► Like it can't share, like you have no choice but to do this.

02:09:23 ◼   ► You have no choice to at least try to be standalone

02:09:25 ◼   ► because Apple doesn't want you, it won't let you.

02:09:28 ◼   ► Integrate in the way that you want, right?

02:09:30 ◼   ► You'd want to be able to just talk to it

02:09:32 ◼   ► and have it do things on your phone when you talk to it

02:09:34 ◼   ► and have a tight connection with,

02:09:35 ◼   ► Apple can barely make a tight connection

02:09:36 ◼   ► between their own watch and their phone for crying out loud,

02:09:39 ◼   ► let alone letting the third parties do it.

02:09:41 ◼   ► So, you know, again, I can't tell if this company thinks

02:09:44 ◼   ► this is actually a good idea and phones are evil

02:09:46 ◼   ► or they just, they had a, you know,

02:09:48 ◼   ► they just see the reality that's like,

02:09:50 ◼   ► if we have no choice, we have to pretend

02:09:53 ◼   ► that we are replacing the phone,

02:09:54 ◼   ► we have to be as standalone as possible,

02:09:56 ◼   ► we have to get our own phone number,

02:09:57 ◼   ► we have to have our own world with our own contacts

02:09:59 ◼   ► and our own messaging and, you know, it's just,

02:10:01 ◼   ► and that's never gonna fly,

02:10:04 ◼   ► even if you did everything great

02:10:05 ◼   ► and it seems like you didn't.

02:10:06 ◼   ► And then there's the problems we talked about last week

02:10:08 ◼   ► of like they're assembling a bunch of disparate parts

02:10:10 ◼   ► into a whole that they hope is greater

02:10:11 ◼   ► than the sum of that parts, I don't think it is

02:10:13 ◼   ► and I think a lot of that parts don't work right yet.

02:10:16 ◼   ► - I also vehemently agree that it's going to flop,

02:10:19 ◼   ► like I will be flabbergasted

02:10:22 ◼   ► if this really gets any traction whatsoever.

02:10:24 ◼   ► In fact, I would be surprised if it gets as much traction

02:10:26 ◼   ► as Google Glass got and yes, I realize what I just said.

02:10:29 ◼   ► - I hope it does get to the point

02:10:30 ◼   ► where tech reviewers review it

02:10:31 ◼   ► 'cause I wanna read those reviews.

02:10:33 ◼   ► - Yeah, agreed.

02:10:34 ◼   ► But I do think there are some very clever

02:10:37 ◼   ► and interesting ideas here.

02:10:38 ◼   ► I just, I really am extremely put off

02:10:42 ◼   ► by voice being the only real interaction model.

02:10:45 ◼   ► Like yes, there's the laser ink display or whatever,

02:10:47 ◼   ► but effectively it's just voice

02:10:49 ◼   ► and I really don't like that at all.

02:10:52 ◼   ► Like I would much rather type

02:10:54 ◼   ► than speak almost any time.

02:10:57 ◼   ► And maybe that makes me an old, I don't know.

02:10:58 ◼   ► I don't think that's unique to old people.

02:11:00 ◼   ► - But what would you type on?

02:11:01 ◼   ► - Well, no, no, I agree, yeah.

02:11:02 ◼   ► - Eventually they end up making a phone

02:11:04 ◼   ► and we know they can't.

02:11:05 ◼   ► Oh, well maybe they just have an app on iOS

02:11:07 ◼   ► and then you get back to the integration problem.

02:11:08 ◼   ► Okay, so you've got a hardware device

02:11:09 ◼   ► and you've got an app on iOS.

02:11:11 ◼   ► How well do they integrate with each other?

02:11:12 ◼   ► Is your app running all the time?

02:11:13 ◼   ► Can they communicate easily all the time or is it just,

02:11:16 ◼   ► you have to fit within this little walls that Apple makes.

02:11:19 ◼   ► Here's what apps are allowed to do

02:11:20 ◼   ► and here's what hardware accessories you're allowed to do

02:11:22 ◼   ► and here's when they're allowed to talk to each other

02:11:24 ◼   ► and how much and through what means and so terrible.

02:11:27 ◼   ► - I agree with you but like as an example,

02:11:29 ◼   ► one of the things they demoed in their very funny video,

02:11:32 ◼   ► which by the way, it's like 10 minutes

02:11:33 ◼   ► and it is worth watching. - Seems longer.

02:11:35 ◼   ► - It's so weird. - First of all,

02:11:36 ◼   ► it does seem longer but it is so weird.

02:11:38 ◼   ► And Imran or whatever his name is, the head,

02:11:42 ◼   ► I think for like the TED Talk he did way back when,

02:11:45 ◼   ► he's like kind of, I don't know if aloof

02:11:48 ◼   ► is the word I'm looking for but he's kind of like chill,

02:11:51 ◼   ► I don't really care what's going on right now vibe.

02:11:53 ◼   ► I think that did work for the TED Talk

02:11:55 ◼   ► but for the product video, it did not land well

02:12:00 ◼   ► and it is worth spending the 10 minutes watching this thing

02:12:03 ◼   ► 'cause it's something else.

02:12:04 ◼   ► - He looks a little sleepy, not high energy.

02:12:06 ◼   ► - I understand that's just his vibe

02:12:09 ◼   ► but like the whole video, it's like there is no enthusiasm

02:12:13 ◼   ► about this product being displayed whatsoever.

02:12:15 ◼   ► - Yep, no, it's very true.

02:12:17 ◼   ► So all that aside, there are, I genuinely think

02:12:20 ◼   ► there's some very cool things in this.

02:12:22 ◼   ► So like as an example, I forget exactly what the phrase was

02:12:26 ◼   ► but he talks about how, oh, if you've been not paying

02:12:29 ◼   ► attention to your text messages for a couple hours,

02:12:30 ◼   ► maybe you're at a dinner at a kid's thing,

02:12:33 ◼   ► you can say catch me up and it will use AI

02:12:38 ◼   ► to hopefully do a good job of saying,

02:12:41 ◼   ► of the 907 text messages you've just received,

02:12:44 ◼   ► the key takeaways are you gotta go to dinner

02:12:46 ◼   ► in half an hour with your wife at such and such a location

02:12:49 ◼   ► and your kid wants to know if they can play more Minecraft

02:12:52 ◼   ► or whatever the case may be.

02:12:54 ◼   ► That to me is cool or I think they've shown

02:12:56 ◼   ► other examples of--

02:12:57 ◼   ► - That would be cool if it worked

02:12:59 ◼   ► but with any of these things, you're always like,

02:13:02 ◼   ► okay, so what is the consequence if it doesn't quite work?

02:13:07 ◼   ► Probably not that big for summarizing text messages

02:13:10 ◼   ► but are you gonna rely on, like what if it's something

02:13:13 ◼   ► about when someone needs to be picked up or dropped off

02:13:15 ◼   ► or stop off at the store and get something or whatever

02:13:17 ◼   ► and it either tells you something like that

02:13:20 ◼   ► that didn't exist or doesn't tell you about it

02:13:21 ◼   ► and does exist and getting back to the technology

02:13:23 ◼   ► making your life better and you come home

02:13:25 ◼   ► and your wife's like, what, did you forget to pick up Timmy?

02:13:29 ◼   ► You're like, oh, what do you mean?

02:13:31 ◼   ► I texted you, I said you need to pick him up at the school.

02:13:34 ◼   ► And I was like, oh, well, I asked my AI pin to catch me up

02:13:37 ◼   ► and it didn't mention that.

02:13:38 ◼   ► How do you think that's gonna fly?

02:13:40 ◼   ► - What are you supposed to do

02:13:41 ◼   ► after it summarizes your messages?

02:13:43 ◼   ► Do you just delete them or do you read them later?

02:13:45 ◼   ► - But I'm saying, is the summary useful?

02:13:48 ◼   ► The summary's only useful to you if you believe it.

02:13:50 ◼   ► And if you have any doubt, again, maybe you don't care.

02:13:53 ◼   ► Maybe it's like, oh, I don't care,

02:13:55 ◼   ► but I feel like it'll only take one of those things

02:13:57 ◼   ► where you were supposed to pick up your kid and you didn't

02:13:59 ◼   ► and you have to explain why by saying that you asked

02:14:02 ◼   ► for a summary from your pin and your wife's gonna say,

02:14:04 ◼   ► well, never use that again.

02:14:06 ◼   ► Because obviously it doesn't work every time.

02:14:09 ◼   ► You know what I mean?

02:14:10 ◼   ► And it's not life or death, like, oh, the kid's at school.

02:14:13 ◼   ► But that type of thing, when you get onto stuff

02:14:18 ◼   ► like interpersonal communication and ask me for a summary,

02:14:20 ◼   ► it looks great in a demo, like, look, it's saving me time.

02:14:23 ◼   ► It's like having an executive assistant.

02:14:24 ◼   ► But if your executive assistant forgot to mention

02:14:26 ◼   ► you had to pick up your kid, you fire them.

02:14:28 ◼   ► Like, you know what I mean?

02:14:29 ◼   ► Or you'd have a talk with them at least.

02:14:30 ◼   ► It's like, this is the job.

02:14:32 ◼   ► Then the AI thing does it.

02:14:33 ◼   ► You have no one to blame but yourself

02:14:35 ◼   ► because you believed it.

02:14:36 ◼   ► And it turns out that that was consequential enough

02:14:38 ◼   ► that now your hobby tinkering with this little thing

02:14:42 ◼   ► versus how much benefit is it actually giving you

02:14:45 ◼   ► in your life, like, you love it when it comes together

02:14:47 ◼   ► and you feel like you're in the future when it's summarized.

02:14:48 ◼   ► But that one time you forget to pick up your kid,

02:14:50 ◼   ► you're never gonna use that summary thing again.

02:14:53 ◼   ► Or if you do, you're gonna use a summary

02:14:54 ◼   ► and then take out your phone to confirm

02:14:56 ◼   ► and read every message?

02:14:57 ◼   ► What's the point of that?

02:14:58 ◼   ► - Yeah, and if anything, like, this,

02:15:00 ◼   ► I think this just shows, like, the leaps and bounds

02:15:04 ◼   ► they had to jump through to avoid having a screen

02:15:09 ◼   ► just shows how good screens are.

02:15:12 ◼   ► All the different ways this doesn't work,

02:15:15 ◼   ► all the different conditions this doesn't work in.

02:15:17 ◼   ► Like, there's, like somebody in the chat,

02:15:20 ◼   ► David Shaw and Repoman27 just posted,

02:15:24 ◼   ► the operating temperature range is only 41

02:15:26 ◼   ► to 95 degrees Fahrenheit.

02:15:27 ◼   ► So, like, if you're in a really cold place

02:15:29 ◼   ► or a really hot place, like, nope, won't work.

02:15:31 ◼   ► - Really cold is lower than 41?

02:15:33 ◼   ► I guess you have to wear it inside your jacket

02:15:35 ◼   ► if you live in any place that has winter.

02:15:37 ◼   ► - Right, so you can't use it when you're outside

02:15:39 ◼   ► wearing a jacket, really.

02:15:40 ◼   ► It's gonna be covered up anyway.

02:15:41 ◼   ► But even if you move it to the outside of your jacket

02:15:43 ◼   ► every time you put your jacket on.

02:15:45 ◼   ► - It's pretty solid.

02:15:45 ◼   ► - Yeah, it's gonna freeze.

02:15:47 ◼   ► On their own site, is AI pin waterproof?

02:15:50 ◼   ► No, basically, it's a long answer.

02:15:51 ◼   ► The summary, no.

02:15:52 ◼   ► - It doesn't rain in California, so you're fine.

02:15:53 ◼   ► - Right, so you can't use it if it's raining.

02:15:56 ◼   ► Like, there are all these different conditions.

02:15:57 ◼   ► It's like, okay, what if it was a screen in your pocket,

02:16:00 ◼   ► like a phone?

02:16:01 ◼   ► Well, it turns out those are really good.

02:16:04 ◼   ► And you can use a screen that lives in your pocket

02:16:06 ◼   ► or purse or bag or whatever.

02:16:08 ◼   ► You can use that in so many more places and contexts

02:16:13 ◼   ► and conditions than you can use something like this.

02:16:16 ◼   ► And that's why it has no chance.

02:16:19 ◼   ► Like, even if people hated their phones,

02:16:21 ◼   ► which they very much don't, but even if, for some reason,

02:16:25 ◼   ► you could buy into the narrative that there's lots of people

02:16:27 ◼   ► who wanna spend less time on their phones out there,

02:16:30 ◼   ► there aren't, but again, even if people hated their phones,

02:16:34 ◼   ► the versatility of screens that are handheld,

02:16:39 ◼   ► that fit in your pocket, and that you can pick up

02:16:41 ◼   ► and take out in a split second whenever you want to,

02:16:45 ◼   ► that versatility overpowers everything else here.

02:16:48 ◼   ► That's like, you can't use the AI pin in the cold,

02:16:52 ◼   ► in the hot, in the rain, when wearing a jacket,

02:16:55 ◼   ► when wearing a light shirt, like, when somewhere

02:16:59 ◼   ► where it would be visibly obtrusive

02:17:01 ◼   ► or draw too much attention to you.

02:17:04 ◼   ► You can't use it in a place where you can't use your voice.

02:17:07 ◼   ► Maybe you are somewhere where you have to be quiet,

02:17:09 ◼   ► you know, in certain contexts where you have to be quiet.

02:17:13 ◼   ► People have those all over their lives.

02:17:15 ◼   ► Screens work in so many more places and contexts,

02:17:20 ◼   ► and so while I understand, like, again,

02:17:25 ◼   ► I'm glad they're trying stuff,

02:17:26 ◼   ► I'm glad people out there are making cool gadgets.

02:17:28 ◼   ► It's fun, but don't bet against the smartphone,

02:17:33 ◼   ► especially so directly against the smartphone.

02:17:36 ◼   ► You will lose every time.

02:17:39 ◼   ► Screens are awesome.

02:17:40 ◼   ► There's a reason we have them.

02:17:42 ◼   ► And projecting a laser screen into your hand

02:17:45 ◼   ► that you have to tilt and gesture in weird ways to use,

02:17:48 ◼   ► that's not better.

02:17:49 ◼   ► Like, when you see the laser screen, they blew it.

02:17:51 ◼   ► Like, that's--

02:17:53 ◼   ► - Even on the Rumpley demo hand, it's like,

02:17:55 ◼   ► oh, I see something on my hand.

02:17:56 ◼   ► I can barely tell what anything is.

02:17:57 ◼   ► The hand's too wrinkly and rumply, yeah.

02:18:00 ◼   ► - What if you just put a phone into that hand?

02:18:03 ◼   ► Then it's so much more useful!

02:18:04 ◼   ► - That's what you're looking at.

02:18:06 ◼   ► Yeah, the hardware problems, like, could be solved

02:18:08 ◼   ► if the company had a good enough product

02:18:09 ◼   ► that they could iterate on the technology and so on.

02:18:12 ◼   ► But, like, it feels like this entire product hinges on,

02:18:17 ◼   ► as we pointed out last show,

02:18:18 ◼   ► the thing that this company is not actually really making,

02:18:20 ◼   ► which is the quote-unquote AI part of it.

02:18:23 ◼   ► And we all know that that part of it

02:18:26 ◼   ► doesn't work as well as they would like.

02:18:27 ◼   ► Imagine if this thing, you'd buy this thing

02:18:29 ◼   ► for the same price and pay the same monthly fee.

02:18:32 ◼   ► And every time you tapped it,

02:18:33 ◼   ► it was like Amazon Mechanical Turk

02:18:34 ◼   ► and there was a person there

02:18:35 ◼   ► who was your own human personal assistant.

02:18:38 ◼   ► If you could get a human personal assistant

02:18:39 ◼   ► to be on call 24 hours a day for $24 a month,

02:18:43 ◼   ► that would be a great deal.

02:18:44 ◼   ► And that is the dream of this.

02:18:46 ◼   ► And you'd say, "Oh, but the hardware's bad

02:18:47 ◼   ► and it's not waterproof and it's this and it's that."

02:18:49 ◼   ► I'd be like, "No, $24 a month and I tap this thing

02:18:51 ◼   ► and I can literally ask it to do anything

02:18:52 ◼   ► and it does it for me."

02:18:54 ◼   ► Summarize my text messages and it tells me

02:18:56 ◼   ► and it's a person, so it gets it right.

02:18:58 ◼   ► You know what I mean?

02:18:58 ◼   ► Like, that would be a great product.

02:19:00 ◼   ► And if they had that product, people would pay for it.

02:19:03 ◼   ► And then the next version would be better

02:19:04 ◼   ► and the next version would be better.

02:19:05 ◼   ► And you'd be like,

02:19:06 ◼   ► "I don't need to see anything on a screen.

02:19:07 ◼   ► I just ask my little assistant and it tells me everything.

02:19:10 ◼   ► Why do I need to see anything on a screen, right?

02:19:12 ◼   ► I can whisper real low if I'm in a library

02:19:14 ◼   ► and they can hear me because of these amazing microphones."

02:19:16 ◼   ► But they don't have a human at the other end of that thing.

02:19:19 ◼   ► They have whatever quote unquote AI thing they're using,

02:19:24 ◼   ► which is useful in lots of other contexts

02:19:26 ◼   ► and may be useful in some of the contexts

02:19:28 ◼   ► they want to use that,

02:19:29 ◼   ► but not useful enough to make up for all their other feelings.

02:19:32 ◼   ► So they're never gonna get to the point

02:19:33 ◼   ► where they can iterate on this hardware, right?

02:19:36 ◼   ► And, you know, again,

02:19:37 ◼   ► they don't even really make the AI part of that.

02:19:40 ◼   ► They're just piggybacking on a technology

02:19:42 ◼   ► that other people are innovating.

02:19:43 ◼   ► So I wouldn't trust this company

02:19:46 ◼   ► to continue to push to the forefront

02:19:47 ◼   ► of making that part smarter and better,

02:19:50 ◼   ► because that's not their core competency.

02:19:52 ◼   ► Their core competency is apparently this idea of,

02:19:55 ◼   ► you know, let's not be on screens as much

02:19:56 ◼   ► and let's use a badge type thing,

02:19:58 ◼   ► and the hardware that they've made

02:19:59 ◼   ► and, you know, the software stack that it runs on.

02:20:01 ◼   ► And the hubris to believe that,

02:20:04 ◼   ► okay, the phone platforms that dominate our lives

02:20:07 ◼   ► are so closed that we can't build the product we want,

02:20:10 ◼   ► so we're gonna do it all ourselves.

02:20:12 ◼   ► And I admire that.

02:20:14 ◼   ► I admire the attempt to do that.

02:20:16 ◼   ► It's one of the reasons I admire Lucid,

02:20:17 ◼   ► because they did so much stuff themselves,

02:20:19 ◼   ► but Lucid actually pulled it off,

02:20:20 ◼   ► and this company, I think, has not.

02:20:22 ◼   ► - Well, 'cause Lucid was making so many people want.

02:20:24 ◼   ► (laughing)

02:20:25 ◼   ► - Yeah, but they didn't choose

02:20:26 ◼   ► to do so many things themselves.

02:20:27 ◼   ► Like, oh, you're gonna make your own drivetrain?

02:20:29 ◼   ► You're gonna make your own?

02:20:30 ◼   ► Like, why would you do that?

02:20:31 ◼   ► We can do, all the other EV companies did.

02:20:33 ◼   ► I mean, you're not just gonna buy parts from somebody else

02:20:35 ◼   ► and assemble them?

02:20:36 ◼   ► Like, no, we're gonna build all this stuff ourselves.

02:20:38 ◼   ► It's like, boy, that seems really hard.

02:20:40 ◼   ► It is, and most companies can't do it,

02:20:42 ◼   ► but the ones that do, it's very impressive.

02:20:43 ◼   ► And this company, you know, AI was,

02:20:46 ◼   ► Humane was forced to do this,

02:20:47 ◼   ► because they can't build on any of the platforms

02:20:50 ◼   ► that it's natural for them to build on.

02:20:51 ◼   ► So it's sad.

02:20:53 ◼   ► It really, like, as much as I think this product

02:20:55 ◼   ► is not, you know, gonna do anything in the market,

02:20:59 ◼   ► I wish that it was possible to make a good version

02:21:02 ◼   ► of this product on any of the dominant platforms today

02:21:05 ◼   ► that would be appropriate, you know,

02:21:07 ◼   ► iPad OS, iOS, Android, right?

02:21:09 ◼   ► But it's just not.

02:21:10 ◼   ► Those companies don't, if they don't wanna make it,

02:21:12 ◼   ► they don't wanna let you make it,

02:21:13 ◼   ► and that is the real shame of this.

02:21:15 ◼   ► - Yeah, agreed, and again, like,

02:21:16 ◼   ► I don't, this is a bad idea for so many reasons.

02:21:20 ◼   ► Like, your Lucid analogy, it's like if Lucid was like,

02:21:23 ◼   ► hey, why don't you give up your car

02:21:25 ◼   ► and switch to a hot air balloon?

02:21:27 ◼   ► Like, well, okay, I mean, that's gonna be a tough sell

02:21:31 ◼   ► for most people.

02:21:32 ◼   ► - Yeah, we would've made a car,

02:21:33 ◼   ► but we're not allowed to be on the roads,

02:21:35 ◼   ► because the company that owns the roads won't let us.

02:21:37 ◼   ► But we think hot air balloons

02:21:38 ◼   ► are actually better than cars.

02:21:39 ◼   ► - Yeah, don't you hate your car?

02:21:41 ◼   ► How about something that's less capable and less convenient,

02:21:44 ◼   ► and you can operate in less conditions?

02:21:45 ◼   ► Great, how about a hot air balloon? (laughs)

02:21:48 ◼   ► Oh, God, anyway.

02:21:50 ◼   ► But yeah, you know, you're right,

02:21:50 ◼   ► and it's ultimately like the inability

02:21:53 ◼   ► for products like this to really have a fair shot

02:21:58 ◼   ► is a tragedy of the modern tech lock-in ecosystem.

02:22:03 ◼   ► And there's no telling how much innovation out there

02:22:08 ◼   ► we could have today,

02:22:09 ◼   ► and that could be making our lives better

02:22:11 ◼   ► and could be making the world better,

02:22:13 ◼   ► if not for Apple and Google's massive platform lock-in

02:22:17 ◼   ► on their modern platforms that basically make it impossible.

02:22:20 ◼   ► - Yeah, if anything, like a company that had this idea

02:22:22 ◼   ► could fail much faster,

02:22:24 ◼   ► because they wouldn't have to build everything,

02:22:26 ◼   ► all the operating system and platform stuff.

02:22:29 ◼   ► They could just piggyback, build the,

02:22:31 ◼   ► you know, you make an app on your phone

02:22:32 ◼   ► and build a little bit of the hardware

02:22:34 ◼   ► and have them integrated,

02:22:35 ◼   ► and just do the part that you care about.

02:22:37 ◼   ► They can't do that,

02:22:38 ◼   ► because you can't get that kind of deep integration

02:22:41 ◼   ► with iOS, but if they could,

02:22:42 ◼   ► boy, they would save a lot of time,

02:22:44 ◼   ► and they would be able to come up with their product,

02:22:45 ◼   ► and they would flop in the market,

02:22:46 ◼   ► 'cause nobody wants it in the AI systems that you don't.

02:22:48 ◼   ► And it would save everybody a lot of money.

02:22:51 ◼   ► But they had to build so much stuff

02:22:53 ◼   ► and go this whole route of like,

02:22:55 ◼   ► we are our own thing with our own phone number

02:22:57 ◼   ► and our own operating system and our own lack of apps

02:23:00 ◼   ► or whatever they were pitching.

02:23:01 ◼   ► Like, we have experiences, not apps.

02:23:02 ◼   ► It's like, you have to build all of that

02:23:04 ◼   ► for what's probably gonna turn out to be,

02:23:06 ◼   ► if not a bad idea, then at the very least,

02:23:08 ◼   ► an idea that is too ahead of its time,

02:23:10 ◼   ► because the tech is just not ready for it yet.

02:23:12 ◼   ► (beeping)