WEBVTT - Apple Is at the Cutting Edge of a Revolution in Chips

0:00:10.800 --> 0:00:14.920
<v Speaker 1>Hello, and welcome to another episode of the Odd Lots Podcast.

0:00:14.960 --> 0:00:20.040
<v Speaker 1>I'm Joe Wisnthal and I'm Tracy Halloway. Tracy, I had

0:00:20.079 --> 0:00:22.680
<v Speaker 1>a thought, and it might be a little controversial, but

0:00:23.320 --> 0:00:27.200
<v Speaker 1>what if um you with a controversial thought? Never No,

0:00:27.400 --> 0:00:29.160
<v Speaker 1>it's like, I know, I'm just gonna throw this out

0:00:29.200 --> 0:00:31.240
<v Speaker 1>there and tell me what you think. What if we

0:00:31.680 --> 0:00:35.960
<v Speaker 1>made that Odd Lots wizon about market and finance anymore,

0:00:36.000 --> 0:00:41.200
<v Speaker 1>but just about the semiconductor history? Could we maybe could

0:00:41.200 --> 0:00:45.480
<v Speaker 1>we maybe start with a semiconductor series before we completely

0:00:45.560 --> 0:00:49.920
<v Speaker 1>rebrand the podcast? All right, we'll we'll revisit the question

0:00:50.000 --> 0:00:52.440
<v Speaker 1>of a total rebrand. But I don't know about you,

0:00:52.479 --> 0:00:55.800
<v Speaker 1>but I found our episode a couple of weeks ago

0:00:56.360 --> 0:01:00.800
<v Speaker 1>with Stacy Raskin from Bernstein about the kind of Intel

0:01:00.840 --> 0:01:03.120
<v Speaker 1>to be fascinating, And after that, I was like, I

0:01:03.160 --> 0:01:05.440
<v Speaker 1>just wanted to talk more chips, Like I just that

0:01:05.640 --> 0:01:08.479
<v Speaker 1>like that really sort of like it really went my appetite.

0:01:09.040 --> 0:01:11.960
<v Speaker 1>It was definitely a lot more interesting than I had

0:01:12.000 --> 0:01:15.240
<v Speaker 1>been expecting. I think I mentioned when we recorded it

0:01:15.400 --> 0:01:18.440
<v Speaker 1>that I hadn't been following all the ins and outs

0:01:18.600 --> 0:01:22.640
<v Speaker 1>of the semiconductor industry, except of course, as it pertained

0:01:22.680 --> 0:01:26.399
<v Speaker 1>to the US China trade tension. So I wasn't aware

0:01:27.319 --> 0:01:31.200
<v Speaker 1>of some of the competition between the big makers, like

0:01:31.319 --> 0:01:34.399
<v Speaker 1>just how bad things had gotten for Intel, and I

0:01:34.440 --> 0:01:37.160
<v Speaker 1>wasn't aware of some of the strategic decisions that we're

0:01:37.200 --> 0:01:41.040
<v Speaker 1>going into the making of their chips and the way

0:01:41.080 --> 0:01:44.679
<v Speaker 1>that some other chip makers have proceeded in a very

0:01:44.920 --> 0:01:49.520
<v Speaker 1>uh different direction. Yeah, right, it's that different direction that's

0:01:49.560 --> 0:01:52.760
<v Speaker 1>interesting because, I mean, we talked with Stacy a lot

0:01:52.800 --> 0:01:56.880
<v Speaker 1>about the sort of manufacturing issues that Intel has been

0:01:56.880 --> 0:02:01.279
<v Speaker 1>facing as it tries to unveil it's seven animator chips.

0:02:01.680 --> 0:02:05.840
<v Speaker 1>But there's more to the story than just faster and

0:02:05.960 --> 0:02:11.080
<v Speaker 1>smaller chips. There's also a fundamental ship happening in what

0:02:11.200 --> 0:02:13.960
<v Speaker 1>chips are and how they're used and how they're designed.

0:02:14.320 --> 0:02:19.040
<v Speaker 1>It goes beyond just sort of manufacturing problems. Yeah, and

0:02:19.160 --> 0:02:22.680
<v Speaker 1>I guess the big news on that front is Apple

0:02:22.840 --> 0:02:27.120
<v Speaker 1>and its new series of Mac processors. Uh. That news

0:02:27.160 --> 0:02:29.480
<v Speaker 1>came out this month, and everyone, as far as I

0:02:29.480 --> 0:02:33.280
<v Speaker 1>can tell, all the technologists that have YouTube channels are

0:02:33.400 --> 0:02:37.640
<v Speaker 1>very very excited about what exactly this means. I don't

0:02:37.720 --> 0:02:41.800
<v Speaker 1>completely understand the technology, but I am interested in learning

0:02:41.800 --> 0:02:44.680
<v Speaker 1>why everyone else um is so excited and why a

0:02:44.680 --> 0:02:46.600
<v Speaker 1>lot of people are saying this is a game changer.

0:02:46.639 --> 0:02:49.280
<v Speaker 1>I heard one there's one guy on YouTube who was

0:02:49.320 --> 0:02:53.200
<v Speaker 1>talking about how this is going to make Apple computers

0:02:53.200 --> 0:02:57.119
<v Speaker 1>basically on a different level to other types of computers.

0:02:57.160 --> 0:02:59.680
<v Speaker 1>So in the way that we don't necessarily compare Apple

0:02:59.720 --> 0:03:03.800
<v Speaker 1>phone with androids anymore, we will no longer be comparing

0:03:04.200 --> 0:03:07.480
<v Speaker 1>Max with you know, your average PC. It's just like

0:03:07.760 --> 0:03:11.440
<v Speaker 1>two different types of equipment. Yeah, there was like a

0:03:11.520 --> 0:03:14.480
<v Speaker 1>medium article about the Apple chip then went viral on

0:03:14.560 --> 0:03:20.960
<v Speaker 1>like articles about chips don't typically go viral, but that

0:03:21.120 --> 0:03:23.839
<v Speaker 1>I think sort of gives you an indication of the enthusiasm,

0:03:23.960 --> 0:03:26.840
<v Speaker 1>the excitement that people have for all this stuff. So

0:03:27.040 --> 0:03:28.880
<v Speaker 1>definitely a lot to talk about. But I have to

0:03:28.880 --> 0:03:31.440
<v Speaker 1>admit I still don't like really get it. Like I'm

0:03:31.480 --> 0:03:33.440
<v Speaker 1>trying to read about this stuff and understand it, but

0:03:33.480 --> 0:03:37.560
<v Speaker 1>I don't totally get Yeah, I'm in that same place.

0:03:37.920 --> 0:03:41.600
<v Speaker 1>So today we are going to be talking more as

0:03:41.720 --> 0:03:44.760
<v Speaker 1>anyone could have guessed about chips. And I'm very excited

0:03:44.800 --> 0:03:48.040
<v Speaker 1>because in addition to being a sequel of sorts to

0:03:48.200 --> 0:03:52.240
<v Speaker 1>that other chip episode, um our guest who is who

0:03:52.280 --> 0:03:55.040
<v Speaker 1>writes on this stuff, and he's prominent on Twitter, etcetera.

0:03:55.320 --> 0:03:57.760
<v Speaker 1>We're going to do something we've never done before. He's

0:03:57.760 --> 0:04:01.000
<v Speaker 1>going to dos himself on this episod. So he's been

0:04:01.000 --> 0:04:05.200
<v Speaker 1>writing under and tweeting under a pseudonyms, agreed to come

0:04:05.240 --> 0:04:08.800
<v Speaker 1>on and with this episode actually tell us who he is.

0:04:08.840 --> 0:04:11.320
<v Speaker 1>So this is a a totally new thing for us.

0:04:11.320 --> 0:04:14.480
<v Speaker 1>I don't think we've done this before. No, we definitely haven't,

0:04:14.520 --> 0:04:18.279
<v Speaker 1>and we should just stress this is a voluntary self

0:04:18.520 --> 0:04:21.080
<v Speaker 1>docs scene. We haven't forced him into it or anything

0:04:21.120 --> 0:04:24.359
<v Speaker 1>like that. That's exactly right. So we're going to be

0:04:24.440 --> 0:04:29.000
<v Speaker 1>speaking with the author of the newsletter called Mules musing.

0:04:29.680 --> 0:04:32.920
<v Speaker 1>He tweets under the handle at full all the time,

0:04:33.520 --> 0:04:37.080
<v Speaker 1>great stuff on the matter of chips. But we're going

0:04:37.080 --> 0:04:39.520
<v Speaker 1>to find out now who he is. So U Mule,

0:04:40.560 --> 0:04:43.960
<v Speaker 1>thank you for joining the Outlaws podcast? Who are you

0:04:44.120 --> 0:04:48.360
<v Speaker 1>and why are we listening to? Hey? I'm My name

0:04:48.520 --> 0:04:51.960
<v Speaker 1>is Doug O Offlin, and I am just a huge

0:04:52.000 --> 0:04:56.200
<v Speaker 1>nerd with an investing background. I guess I previously worked

0:04:56.200 --> 0:04:59.240
<v Speaker 1>at a byeside firm in Dallas and kind of just

0:04:59.279 --> 0:05:02.560
<v Speaker 1>taking a break tween things started writing a newsletter. Um,

0:05:02.640 --> 0:05:04.920
<v Speaker 1>and clearly there's been a lot of interest in semi coonnucters,

0:05:04.960 --> 0:05:07.560
<v Speaker 1>not just from you guys, but from the investing community

0:05:07.560 --> 0:05:09.240
<v Speaker 1>at large, and it kind of just hit a note.

0:05:09.400 --> 0:05:13.040
<v Speaker 1>So I'm I'm really obsessed with the whole you know,

0:05:13.080 --> 0:05:15.599
<v Speaker 1>the whole revolution all the YouTubers are going crazy about.

0:05:15.920 --> 0:05:18.880
<v Speaker 1>I'm obsessed, Like, it's not just um, it's not just

0:05:18.920 --> 0:05:20.960
<v Speaker 1>all the technology stuff, but there's a lot of business

0:05:21.000 --> 0:05:24.400
<v Speaker 1>and investing um things that could happen, and I think

0:05:24.400 --> 0:05:26.720
<v Speaker 1>it's I think it's truly a revolution. Like it's it's

0:05:26.760 --> 0:05:29.120
<v Speaker 1>about as exciting as it's ever been in semiconductors, which

0:05:29.160 --> 0:05:32.520
<v Speaker 1>is frankly not that exciting, but it's still very exciting

0:05:32.560 --> 0:05:35.760
<v Speaker 1>to me. UM. So yeah, that's that's what I've been

0:05:35.800 --> 0:05:39.080
<v Speaker 1>doing recently. I have to say that while you were

0:05:39.400 --> 0:05:42.840
<v Speaker 1>introducing yourself, I just had a look at your Twitter

0:05:42.880 --> 0:05:46.040
<v Speaker 1>profile page and I saw the binary code on your

0:05:46.080 --> 0:05:50.919
<v Speaker 1>profile and I looked it up and you must be

0:05:50.960 --> 0:05:53.000
<v Speaker 1>the first All Thoughts guests that we've ever had who

0:05:53.120 --> 0:05:57.040
<v Speaker 1>who has basically done like a practical joke in binary code.

0:05:57.120 --> 0:05:59.719
<v Speaker 1>So um, kudos for that, and I guess I give

0:05:59.800 --> 0:06:03.840
<v Speaker 1>some indication of of your interests. H and everyone else

0:06:03.880 --> 0:06:06.160
<v Speaker 1>can go and check it out and translate it into

0:06:06.200 --> 0:06:09.120
<v Speaker 1>English to see what it actually says. But before we begin,

0:06:09.200 --> 0:06:13.280
<v Speaker 1>I'm curious, why did you decide to start the sub

0:06:13.320 --> 0:06:17.120
<v Speaker 1>stack and why were you tweeting under the pseudonym to

0:06:17.200 --> 0:06:22.680
<v Speaker 1>begin with? Well, um, especially in the past past, it's

0:06:22.800 --> 0:06:25.480
<v Speaker 1>it's not you know, I was employed, and it's um,

0:06:25.480 --> 0:06:29.200
<v Speaker 1>it's not you're not supposed to talk publicly about public

0:06:29.240 --> 0:06:31.919
<v Speaker 1>markets if you're in the business. So that was that

0:06:32.040 --> 0:06:35.120
<v Speaker 1>was the big reason for a pseudonym. And frankly, Finfoot

0:06:35.160 --> 0:06:37.800
<v Speaker 1>is an amazing community. There's a lot of um, there's

0:06:38.000 --> 0:06:41.240
<v Speaker 1>more information there than anywhere else, so it's it's an

0:06:41.279 --> 0:06:44.320
<v Speaker 1>awesome place to learn. But obviously you have to be

0:06:44.839 --> 0:06:48.480
<v Speaker 1>extremely private if youtuose to do so. So um that

0:06:48.480 --> 0:06:50.359
<v Speaker 1>that was the reason why I under a pseudonym, and

0:06:50.360 --> 0:06:53.520
<v Speaker 1>then the sub stack. I guess, um, I'm just kind

0:06:53.560 --> 0:06:56.440
<v Speaker 1>of like in between things. Next year, if everything goes right,

0:06:56.440 --> 0:06:58.800
<v Speaker 1>I'll take a little bit of a gap. But you know,

0:06:58.920 --> 0:07:03.960
<v Speaker 1>I'm like born to do or keep researching and doing

0:07:04.000 --> 0:07:06.159
<v Speaker 1>stuff like this, Like this was pretty much what I

0:07:06.200 --> 0:07:07.840
<v Speaker 1>was doing in my free time, and I was like, heck,

0:07:08.080 --> 0:07:09.960
<v Speaker 1>a lot of other people could really learn a lot

0:07:10.040 --> 0:07:12.120
<v Speaker 1>from this. As well, and so then I started writing

0:07:12.120 --> 0:07:15.520
<v Speaker 1>for a broader audience, and um, writing in general has

0:07:15.560 --> 0:07:18.680
<v Speaker 1>been really fruitful. Like you, it's it's a crazy skill

0:07:18.720 --> 0:07:21.040
<v Speaker 1>to have and I'm frankly not I'm getting a lot

0:07:21.080 --> 0:07:22.920
<v Speaker 1>better at it, but it's still um, it's been a

0:07:23.000 --> 0:07:25.280
<v Speaker 1>learning journey. So that's why I started the sub stack

0:07:25.440 --> 0:07:27.840
<v Speaker 1>and I've just been kind of writing the wave. I

0:07:27.920 --> 0:07:33.000
<v Speaker 1>have to say, I feel like a deep, emotional, resonant

0:07:33.160 --> 0:07:38.080
<v Speaker 1>connection with your story. Because I got my start I

0:07:38.120 --> 0:07:42.040
<v Speaker 1>worked for a small portfolio management company. I also started

0:07:42.080 --> 0:07:45.360
<v Speaker 1>I started blogging in two thousand five under a blog

0:07:45.480 --> 0:07:48.200
<v Speaker 1>called The Stalwart, which is now defunct, but that's why

0:07:48.200 --> 0:07:49.880
<v Speaker 1>I got my Twitter handle, and it was kind of

0:07:49.920 --> 0:07:53.160
<v Speaker 1>the same thing. I just wanted to practice writing for

0:07:53.320 --> 0:07:55.760
<v Speaker 1>the skill of writing and keep up to date, and

0:07:55.760 --> 0:07:57.800
<v Speaker 1>it was between jobs, so kind of like you. So

0:07:58.440 --> 0:08:00.760
<v Speaker 1>I'm I'm a big fan of people with your art

0:08:00.800 --> 0:08:03.320
<v Speaker 1>and I think big things. But let's let's move on

0:08:03.760 --> 0:08:08.200
<v Speaker 1>and let's talk chips. I mentioned there's this a viral

0:08:08.320 --> 0:08:12.120
<v Speaker 1>article about the Mac chip that came out, and articles

0:08:12.120 --> 0:08:15.640
<v Speaker 1>about chips don't particularly go viral, but everyone's raving about

0:08:15.680 --> 0:08:18.960
<v Speaker 1>this new chip from Apple, So why is the chip

0:08:19.040 --> 0:08:23.160
<v Speaker 1>going vibral okay, so then yeah, now and I can

0:08:23.200 --> 0:08:26.120
<v Speaker 1>talk ages about this. UM. So the the the M

0:08:26.160 --> 0:08:29.720
<v Speaker 1>one chip is really exciting, so UM. The reason why

0:08:29.960 --> 0:08:32.400
<v Speaker 1>is it's kind of it's kind of like a hybrid

0:08:32.520 --> 0:08:35.200
<v Speaker 1>and we've we've seen we've seen it before, frankly, like

0:08:35.240 --> 0:08:37.559
<v Speaker 1>your iPhone is powered by something that's similar to and

0:08:37.760 --> 0:08:39.880
<v Speaker 1>M one chip, but we've never seen it for a

0:08:39.960 --> 0:08:42.960
<v Speaker 1>Mac or a desktop or any other form factor other

0:08:43.000 --> 0:08:46.360
<v Speaker 1>than iPhone. And part of it is because up until

0:08:46.360 --> 0:08:48.440
<v Speaker 1>this point, all the laptops in the world have been

0:08:48.559 --> 0:08:50.920
<v Speaker 1>mostly running x A D six. So x A D

0:08:51.000 --> 0:08:53.760
<v Speaker 1>six isn't UM is like just think of it as

0:08:53.760 --> 0:08:57.600
<v Speaker 1>like a language of processors. And for a long time

0:08:57.600 --> 0:09:00.800
<v Speaker 1>that was kind of like, you know, the defen ACTO standard.

0:09:00.880 --> 0:09:03.360
<v Speaker 1>But the iPhone getting a lot better has pretty much

0:09:03.400 --> 0:09:05.680
<v Speaker 1>made a second language become a lot more popular, which

0:09:05.720 --> 0:09:09.480
<v Speaker 1>is ARM. And now that it's become a lot more mature,

0:09:09.679 --> 0:09:12.640
<v Speaker 1>it's actually kind of um. In the past, it never

0:09:12.760 --> 0:09:16.040
<v Speaker 1>was fast enough to really compete in a actual computer,

0:09:16.559 --> 0:09:19.439
<v Speaker 1>but now it seems to be that the M one

0:09:19.520 --> 0:09:23.520
<v Speaker 1>chip is like supermature. The ARM infrastructure is ready and

0:09:23.600 --> 0:09:27.080
<v Speaker 1>the laptop looks really compelling, and a big reason for

0:09:27.160 --> 0:09:29.880
<v Speaker 1>what that is is it's not really a CPU like

0:09:29.960 --> 0:09:32.720
<v Speaker 1>it's it's actually a lot of different dies on one

0:09:32.800 --> 0:09:35.440
<v Speaker 1>giant die, and it looks like there's a lot of

0:09:35.480 --> 0:09:38.480
<v Speaker 1>benefits of arm over x eight six that we didn't

0:09:38.480 --> 0:09:41.280
<v Speaker 1>even know where possible up until the M one came out.

0:09:41.360 --> 0:09:45.160
<v Speaker 1>So so, I mean, I think from what I understand,

0:09:45.200 --> 0:09:47.559
<v Speaker 1>this is kind of the heart of it. So normally

0:09:47.559 --> 0:09:50.520
<v Speaker 1>when we talk about chips, you know, certainly when we're

0:09:50.520 --> 0:09:53.280
<v Speaker 1>talking about chips made by Intel or m D or

0:09:53.320 --> 0:09:58.320
<v Speaker 1>something like that, we're talking about CPUs, these central processing units.

0:09:58.360 --> 0:10:02.720
<v Speaker 1>But the Apple hip, the M one is not a CPU.

0:10:02.800 --> 0:10:05.560
<v Speaker 1>It's it's something else, or only one component of it

0:10:05.600 --> 0:10:08.000
<v Speaker 1>is a CPU. Can you can you explain that in

0:10:08.000 --> 0:10:10.800
<v Speaker 1>a bit more detail. Yeah, So it's called a system

0:10:10.840 --> 0:10:13.720
<v Speaker 1>on chip or sock, and what that means is that

0:10:14.040 --> 0:10:17.440
<v Speaker 1>it's it has a traditional die like any other piece

0:10:17.480 --> 0:10:20.600
<v Speaker 1>of silicon, but there are little pieces on the silicon

0:10:20.720 --> 0:10:23.839
<v Speaker 1>that each have different jobs. And so instead of having

0:10:24.000 --> 0:10:27.520
<v Speaker 1>one giant piece of silicon that does everything kind of

0:10:27.520 --> 0:10:31.000
<v Speaker 1>well pretty much, this this silicon each has little parts

0:10:31.000 --> 0:10:34.199
<v Speaker 1>that do their job really well, and then together it

0:10:34.240 --> 0:10:36.680
<v Speaker 1>does a lot better as a system, because it's like, hey,

0:10:36.720 --> 0:10:39.079
<v Speaker 1>instead of having a ton of random you know, instead

0:10:39.120 --> 0:10:41.560
<v Speaker 1>of having a general computer that can do everything kind

0:10:41.600 --> 0:10:44.079
<v Speaker 1>of well, they have like, you know, ten specials in

0:10:44.120 --> 0:10:46.560
<v Speaker 1>the house. And when you look at a laptop, really

0:10:46.559 --> 0:10:49.840
<v Speaker 1>you're only doing ten types of workloads or or however

0:10:49.880 --> 0:10:52.600
<v Speaker 1>many number of workloads. And so they said, instead of

0:10:52.640 --> 0:10:55.440
<v Speaker 1>trying to make just a faster CPU, why don't we

0:10:55.440 --> 0:10:58.160
<v Speaker 1>specialize a little bit, and we'll break down all the

0:10:58.200 --> 0:11:01.920
<v Speaker 1>things that the Mac the laptop has to do, and

0:11:01.920 --> 0:11:04.520
<v Speaker 1>we're gonna make them do it really well and with

0:11:04.559 --> 0:11:07.720
<v Speaker 1>these specialized ships. So that's pretty much what I'm what

0:11:08.080 --> 0:11:11.720
<v Speaker 1>the differences, and so this is kind of in the

0:11:11.760 --> 0:11:15.280
<v Speaker 1>picture of the broader things kind of been a revolution anyways,

0:11:15.320 --> 0:11:18.000
<v Speaker 1>Like getting off the CPU has been happening for a

0:11:18.040 --> 0:11:20.800
<v Speaker 1>long time. And part of the reason why now it's

0:11:20.800 --> 0:11:23.080
<v Speaker 1>become such a big shift is because, you know, in

0:11:23.120 --> 0:11:25.480
<v Speaker 1>the last episode with Stacy, guys talked about more laws

0:11:25.480 --> 0:11:27.679
<v Speaker 1>slowing down or maybe it's even you know, they love

0:11:27.760 --> 0:11:29.920
<v Speaker 1>to say it's dead. It's not quite dead, but it's

0:11:30.280 --> 0:11:33.079
<v Speaker 1>it's slowing down quite a bit. And so now the

0:11:33.760 --> 0:11:36.080
<v Speaker 1>road for it definitely seems to be specialization and so

0:11:36.160 --> 0:11:39.000
<v Speaker 1>the M one did this really well. It's specialized in

0:11:39.040 --> 0:11:40.920
<v Speaker 1>a lot of different ways, put it all onto one

0:11:40.960 --> 0:11:43.880
<v Speaker 1>piece of one piece of silicon, and also coupled the

0:11:43.920 --> 0:11:46.120
<v Speaker 1>memory really close together, which is a whole you know,

0:11:46.200 --> 0:11:48.440
<v Speaker 1>kind of in the same vein but a little different.

0:11:48.760 --> 0:11:52.000
<v Speaker 1>And now the M one just rocks. Frankly, it's it's

0:11:52.040 --> 0:11:55.280
<v Speaker 1>not yeah, it's it's a little bit shaky as a

0:11:55.320 --> 0:11:57.400
<v Speaker 1>first product, right like the Apple Watch one or the

0:11:57.440 --> 0:12:00.720
<v Speaker 1>iPhone one wasn't the best product ever, but it's still

0:12:01.040 --> 0:12:21.000
<v Speaker 1>it still is, um a miracle, quite frankly. So you know,

0:12:21.080 --> 0:12:24.200
<v Speaker 1>you talk about how this sort of emerged out of

0:12:24.600 --> 0:12:27.720
<v Speaker 1>Apple's chips for the iPhone and something I think, you know,

0:12:27.760 --> 0:12:31.800
<v Speaker 1>like I buy a new iPhone every few years like

0:12:31.920 --> 0:12:34.800
<v Speaker 1>anyone else. Um, I don't buy every single one that

0:12:34.840 --> 0:12:37.160
<v Speaker 1>comes out, but you know, when my mine feels like

0:12:37.160 --> 0:12:39.079
<v Speaker 1>it's getting old or whatever, I buy a new one.

0:12:39.559 --> 0:12:42.280
<v Speaker 1>But honestly, the only thing I do on my iPhone

0:12:42.320 --> 0:12:46.080
<v Speaker 1>besides tweeting is taking photos. And so even though like

0:12:46.120 --> 0:12:49.479
<v Speaker 1>I have this like incredible computer in my pocket, basically

0:12:49.640 --> 0:12:52.920
<v Speaker 1>is just a camera with Twitter attached or Twitter with

0:12:52.960 --> 0:12:56.839
<v Speaker 1>a camera attached. And so I'm curious like how much

0:12:57.360 --> 0:13:01.120
<v Speaker 1>has this sort of like shift tour words. Uh, These

0:13:01.160 --> 0:13:05.040
<v Speaker 1>sort of focused tasks instead of generalist chips come out

0:13:05.080 --> 0:13:07.720
<v Speaker 1>of this fact that yes, you have I have this

0:13:07.760 --> 0:13:11.280
<v Speaker 1>whole computer. Well, there's one thing that it's really important

0:13:11.320 --> 0:13:13.679
<v Speaker 1>for the iPhone to do for a lot of people,

0:13:13.720 --> 0:13:17.040
<v Speaker 1>and that is take really clear can really uh really

0:13:17.120 --> 0:13:20.240
<v Speaker 1>clear photos, and this sort of recognition that there are

0:13:20.280 --> 0:13:23.360
<v Speaker 1>just a few simple tasks that on a phone you

0:13:23.400 --> 0:13:27.280
<v Speaker 1>have to get done extremely well for most people. Yeah,

0:13:27.320 --> 0:13:30.320
<v Speaker 1>that's actually the perfect that's like the perfect thing to

0:13:30.320 --> 0:13:33.240
<v Speaker 1>bring up because on the Apple phone, right, the A

0:13:33.360 --> 0:13:36.160
<v Speaker 1>fourteen or A fifteen or whatever iteration of the A chip,

0:13:36.400 --> 0:13:39.280
<v Speaker 1>the biggest die, the biggest specialized die is something called

0:13:39.280 --> 0:13:43.880
<v Speaker 1>an IPU or an image process Sorry can you die when? Uh?

0:13:44.280 --> 0:13:46.320
<v Speaker 1>Die is just like a piece of silicon. Sorry, it's

0:13:46.320 --> 0:13:49.679
<v Speaker 1>it's um. Yeah, just just think of it as like

0:13:49.720 --> 0:13:52.200
<v Speaker 1>a unit of silicon, if that makes sense. And the

0:13:52.240 --> 0:13:55.200
<v Speaker 1>biggest piece of like that's been taking share from everything

0:13:55.200 --> 0:13:58.640
<v Speaker 1>else is an IPU, and the CPU has become a

0:13:58.679 --> 0:14:01.520
<v Speaker 1>smaller and smaller part and similar in that same vein right,

0:14:01.559 --> 0:14:03.560
<v Speaker 1>like computers, one of the things that we've been using

0:14:03.600 --> 0:14:06.719
<v Speaker 1>the most is GPUs to play video games. So just

0:14:06.800 --> 0:14:09.720
<v Speaker 1>like the CPUs kind of losing relevance or the you know,

0:14:09.880 --> 0:14:13.080
<v Speaker 1>the CPS losing relevance in your phone to an IPU

0:14:13.280 --> 0:14:16.840
<v Speaker 1>or for your images in in a desktop computer, for example,

0:14:16.840 --> 0:14:19.600
<v Speaker 1>the CPU seems to be losing relevance to a GPU

0:14:19.680 --> 0:14:21.560
<v Speaker 1>for a lot of people who are using it for games.

0:14:21.640 --> 0:14:24.480
<v Speaker 1>So kind of that same that same energy is you know,

0:14:24.600 --> 0:14:28.600
<v Speaker 1>disrupting one and the other. And I think you ask

0:14:28.640 --> 0:14:32.400
<v Speaker 1>a question about like why Apple Apple in the iPhone

0:14:32.400 --> 0:14:35.880
<v Speaker 1>specifically kind of like shifted over to the Mac. What's

0:14:35.920 --> 0:14:39.120
<v Speaker 1>interesting about that is in the iPhone itself, they actually

0:14:39.160 --> 0:14:42.200
<v Speaker 1>had a lot of requirements that were not that you

0:14:42.200 --> 0:14:44.680
<v Speaker 1>didn't really need to use in a in a computer, right, Like,

0:14:45.040 --> 0:14:47.080
<v Speaker 1>it has a lot smaller form factor, it has a

0:14:47.080 --> 0:14:49.760
<v Speaker 1>battery life constraint. It has to also not have a

0:14:49.760 --> 0:14:52.760
<v Speaker 1>fan to actively cool it, and so all these things.

0:14:52.960 --> 0:14:54.680
<v Speaker 1>Um in the beginning, we're just like, you know, a

0:14:54.720 --> 0:14:58.040
<v Speaker 1>pain pain for them to to manufacture around. But as

0:14:58.080 --> 0:15:00.000
<v Speaker 1>they got better and better and better, they pretty much

0:15:00.080 --> 0:15:03.000
<v Speaker 1>got really close to a laptop in an iPhone. And

0:15:03.040 --> 0:15:06.120
<v Speaker 1>that's while having a smaller form factor, while having no

0:15:06.600 --> 0:15:09.200
<v Speaker 1>active fan. And then they're like, wait, why don't we

0:15:09.240 --> 0:15:11.520
<v Speaker 1>just do this for a laptop. And so that's kind

0:15:11.520 --> 0:15:13.560
<v Speaker 1>of what they did. And the M one really is

0:15:13.640 --> 0:15:17.160
<v Speaker 1>like a super souped up um Apple chip. And the

0:15:17.160 --> 0:15:19.760
<v Speaker 1>the announcement that you guys just broke the story on

0:15:20.000 --> 0:15:22.040
<v Speaker 1>is that they're going to actually be making even bigger,

0:15:22.080 --> 0:15:24.640
<v Speaker 1>beefier versions of this because the M one is actually

0:15:24.680 --> 0:15:27.240
<v Speaker 1>made to be put in a laptop with no active cooling.

0:15:27.400 --> 0:15:29.360
<v Speaker 1>Like that's also a big part of it. There's like

0:15:29.400 --> 0:15:31.400
<v Speaker 1>it's supposed to not heat up, it's supposed to not

0:15:31.400 --> 0:15:33.440
<v Speaker 1>have a fan. But what if we what if we

0:15:33.520 --> 0:15:36.120
<v Speaker 1>just like let it run loose and you know, actively

0:15:36.120 --> 0:15:38.600
<v Speaker 1>cool to put a fan. See how hot, how hot

0:15:38.640 --> 0:15:40.920
<v Speaker 1>we can get this thing going? And I think what's

0:15:40.920 --> 0:15:43.280
<v Speaker 1>gonna happen is we're gonna be really shocked by the outcome.

0:15:43.720 --> 0:15:47.040
<v Speaker 1>And so all the manufacturing and the constraints that they

0:15:47.040 --> 0:15:49.640
<v Speaker 1>had to do to make the chip fit into a

0:15:49.680 --> 0:15:52.680
<v Speaker 1>small phone pretty much when you actually scaled it up

0:15:52.680 --> 0:15:55.240
<v Speaker 1>into a laptop, it made it a lot better. And

0:15:55.280 --> 0:15:57.160
<v Speaker 1>that's kind of part of the M one, you know,

0:15:57.240 --> 0:16:00.600
<v Speaker 1>the Apple silicon magic. And Apple isn't the only company

0:16:00.640 --> 0:16:04.080
<v Speaker 1>pursuing this, like I think, you know, almost every company

0:16:04.200 --> 0:16:06.600
<v Speaker 1>is kind of looking at Intel and saying like, okay,

0:16:06.640 --> 0:16:09.080
<v Speaker 1>we need to transition off this vendor. And whether it's

0:16:09.080 --> 0:16:11.520
<v Speaker 1>a data center or whether it's a phone, or whether

0:16:11.560 --> 0:16:14.600
<v Speaker 1>if it's um anything else, Like everyone is kind of

0:16:14.640 --> 0:16:17.160
<v Speaker 1>going this way. And that's what's exciting. Is this isn't

0:16:17.280 --> 0:16:20.040
<v Speaker 1>just an Apple story. Qual Calm mentioned they might do

0:16:20.080 --> 0:16:23.680
<v Speaker 1>heterogeneous chips, which is like one way to call this

0:16:23.720 --> 0:16:26.720
<v Speaker 1>whole thing is heterogeneous, as in many different types of

0:16:26.800 --> 0:16:30.120
<v Speaker 1>chips put together into a larger package. And so you know,

0:16:30.240 --> 0:16:33.640
<v Speaker 1>Android might have a similar and one like chip very soon.

0:16:33.920 --> 0:16:36.160
<v Speaker 1>That's probably you know, a few years away. But the

0:16:36.200 --> 0:16:39.320
<v Speaker 1>writings on the wall that everyone has to shift into

0:16:39.640 --> 0:16:42.920
<v Speaker 1>the this kind of M one style of chip, if

0:16:42.920 --> 0:16:46.640
<v Speaker 1>that makes sense. So it does make sense. Um, this

0:16:46.720 --> 0:16:48.200
<v Speaker 1>is actually what I want to ask you next. So

0:16:48.280 --> 0:16:52.400
<v Speaker 1>I think I understand why Apple sort of struck upon

0:16:52.520 --> 0:16:56.680
<v Speaker 1>this design given its experience with the iPhone, why it

0:16:56.840 --> 0:17:02.680
<v Speaker 1>thought that specialized chips for specialized asks would be more efficient.

0:17:03.280 --> 0:17:07.879
<v Speaker 1>But why was it able to actually produce the chip

0:17:08.320 --> 0:17:10.639
<v Speaker 1>ahead of time? Or maybe another way of saying this

0:17:10.760 --> 0:17:14.680
<v Speaker 1>question is, Um, why was Apple able to do this when,

0:17:14.720 --> 0:17:18.040
<v Speaker 1>as you just mentioned, the entire industry seems to, you know,

0:17:18.240 --> 0:17:22.880
<v Speaker 1>maybe at different speeds be moving in this direction. So

0:17:23.160 --> 0:17:27.639
<v Speaker 1>Apple silicon has always been a leader. They've they've been

0:17:27.680 --> 0:17:30.080
<v Speaker 1>they've been crushing it for a long time. But in

0:17:30.119 --> 0:17:32.640
<v Speaker 1>particular this this kind of goes back to the last

0:17:32.640 --> 0:17:35.439
<v Speaker 1>episode you guys had. T SMC really enabled them to

0:17:35.520 --> 0:17:38.840
<v Speaker 1>do this, and Apple has been buying and building silicon

0:17:38.920 --> 0:17:41.959
<v Speaker 1>expertise in house for years. This is not an overnight

0:17:42.000 --> 0:17:45.639
<v Speaker 1>success story. The the original chip, like the A seven

0:17:45.720 --> 0:17:48.560
<v Speaker 1>or whatever, was when they first started to um to

0:17:48.720 --> 0:17:51.639
<v Speaker 1>really make this more heterogeneous, and they've been every year

0:17:52.440 --> 0:17:55.480
<v Speaker 1>it adds more specialization, and it's gone to this point

0:17:55.480 --> 0:17:57.959
<v Speaker 1>where now the CPU is like one of the not

0:17:58.040 --> 0:18:00.560
<v Speaker 1>the least important, but it's just one aspect of the

0:18:00.640 --> 0:18:03.520
<v Speaker 1>chip in the phone. And so Apple has been doing

0:18:03.520 --> 0:18:06.320
<v Speaker 1>this for a long time. T s MC has been

0:18:06.359 --> 0:18:09.480
<v Speaker 1>a huge part of it enabling this, and then other

0:18:09.560 --> 0:18:12.360
<v Speaker 1>companies kind of look to Apple and are seeing like, okay,

0:18:12.400 --> 0:18:15.200
<v Speaker 1>we can do this too. So I hope that kind

0:18:15.200 --> 0:18:18.159
<v Speaker 1>of answers the question when it comes to manufacturing, and

0:18:18.160 --> 0:18:20.560
<v Speaker 1>of course that was the big thing we talked about

0:18:20.640 --> 0:18:24.120
<v Speaker 1>on our last chip episode, and this idea that it's

0:18:24.119 --> 0:18:27.200
<v Speaker 1>like getting more and more difficult to sort of shrink

0:18:27.280 --> 0:18:31.720
<v Speaker 1>these chips have the smaller an animator form factor. Is

0:18:31.760 --> 0:18:34.960
<v Speaker 1>that an issue here? Or does sort of rethinking the

0:18:35.000 --> 0:18:39.800
<v Speaker 1>fundamental architecture of the chips such that it's it is

0:18:40.080 --> 0:18:45.159
<v Speaker 1>h heterogeneous chip. Does that sort of sidestep some of

0:18:45.200 --> 0:18:49.760
<v Speaker 1>these issues? If that's does that that questions? Yeah? Yeah?

0:18:50.000 --> 0:18:52.359
<v Speaker 1>Um actually, I think that's the huge driver of why

0:18:52.400 --> 0:18:55.480
<v Speaker 1>this whole thing exists, right, Moore's law slowing down and

0:18:55.520 --> 0:18:58.440
<v Speaker 1>the struggle to to shrink smaller and smaller pretty much

0:18:58.480 --> 0:19:02.359
<v Speaker 1>made them think, um, hey, we have to improve this somehow.

0:19:02.600 --> 0:19:04.280
<v Speaker 1>We can't do it through the ways we used to

0:19:04.280 --> 0:19:06.280
<v Speaker 1>do it. Why don't we specialize a little bit. So

0:19:06.320 --> 0:19:08.359
<v Speaker 1>it's kind of like a mix of both that's happening

0:19:08.359 --> 0:19:10.960
<v Speaker 1>at the same time. I definitely think that the desire

0:19:11.080 --> 0:19:16.399
<v Speaker 1>for better, faster chips was what helped the heterogeneous revolution begin.

0:19:16.960 --> 0:19:20.640
<v Speaker 1>But um t SMC being there to essentially make it

0:19:21.040 --> 0:19:24.120
<v Speaker 1>so that anyone who isn't because in the past they

0:19:24.119 --> 0:19:27.679
<v Speaker 1>all until also owned the method to get smaller. Right,

0:19:27.720 --> 0:19:29.800
<v Speaker 1>So it's like, you know, you can't compete against some

0:19:29.920 --> 0:19:32.960
<v Speaker 1>a general chip that's getting smaller, getting faster, better, faster

0:19:33.040 --> 0:19:35.760
<v Speaker 1>than you could specialize your chips faster. But now that

0:19:35.800 --> 0:19:38.480
<v Speaker 1>t SMC is clearly in the lead and anyone can

0:19:38.640 --> 0:19:41.520
<v Speaker 1>can reach out to them and work with them, now

0:19:41.560 --> 0:19:43.360
<v Speaker 1>everyone's like, well, why don't we just make our own

0:19:43.400 --> 0:19:46.760
<v Speaker 1>special little chips? And so that's really been um kind

0:19:46.800 --> 0:19:48.920
<v Speaker 1>of all the things that's made this happen at this

0:19:49.040 --> 0:19:51.680
<v Speaker 1>right moment right now. I mean, on that note, how

0:19:51.880 --> 0:19:56.000
<v Speaker 1>easy is it going to be for competitors to make

0:19:56.119 --> 0:19:58.520
<v Speaker 1>these specialized chips? Then are they going to be able

0:19:58.600 --> 0:20:00.919
<v Speaker 1>to do the same thing that apples do? And in particular,

0:20:01.600 --> 0:20:04.480
<v Speaker 1>is Intel going to be able to do it? Given that,

0:20:04.600 --> 0:20:08.080
<v Speaker 1>as we discussed in the last episode, their business seems

0:20:08.160 --> 0:20:11.800
<v Speaker 1>to be almost entirely based on this idea of selling

0:20:12.040 --> 0:20:16.760
<v Speaker 1>you know, general purpose CPU which then can go into

0:20:16.800 --> 0:20:21.760
<v Speaker 1>a large variety of desktop PCs or whatever. Yeah, so

0:20:21.920 --> 0:20:24.840
<v Speaker 1>Intel is already pursuing this. I mean, the people in

0:20:24.920 --> 0:20:27.200
<v Speaker 1>Intel are smart and they know what they're doing. Um,

0:20:27.200 --> 0:20:30.160
<v Speaker 1>but they're obviously tied to a very large platform. It's

0:20:30.200 --> 0:20:33.439
<v Speaker 1>something called Phobos, which is like kind of their method

0:20:33.520 --> 0:20:36.159
<v Speaker 1>of stacking the chips together. They have this um, this

0:20:36.240 --> 0:20:38.920
<v Speaker 1>new platform and their Intel architecture. Day They're like, okay,

0:20:38.960 --> 0:20:40.919
<v Speaker 1>we're gonna go all in on chiplets, like we're going

0:20:40.960 --> 0:20:43.160
<v Speaker 1>to do the same thing that everyone else is doing.

0:20:43.480 --> 0:20:45.880
<v Speaker 1>But that kind of brings it back to the point

0:20:45.920 --> 0:20:47.480
<v Speaker 1>like Intel is going to be doing the same thing

0:20:47.520 --> 0:20:49.320
<v Speaker 1>that everyone else is doing. And if they don't have

0:20:49.359 --> 0:20:53.280
<v Speaker 1>the manufacturing advantage like they used to, pretty much everyone's

0:20:53.280 --> 0:20:56.439
<v Speaker 1>on the same level playing field and it's it's for

0:20:56.520 --> 0:20:58.879
<v Speaker 1>real right now. Am D for example, does have like

0:20:59.160 --> 0:21:01.920
<v Speaker 1>a big, big reason why they won was kind of

0:21:01.960 --> 0:21:04.800
<v Speaker 1>like a process heater geneous thing where it's like, Okay,

0:21:04.880 --> 0:21:06.639
<v Speaker 1>we don't have to be the fastest, you know, we

0:21:06.640 --> 0:21:09.080
<v Speaker 1>don't have to have the smallest um chip. But what

0:21:09.119 --> 0:21:10.760
<v Speaker 1>we're gonna do is we're just going to make sure

0:21:11.200 --> 0:21:14.280
<v Speaker 1>this really important part is is super small and that way,

0:21:14.440 --> 0:21:17.320
<v Speaker 1>you know, it's like getting across across the finish line

0:21:17.600 --> 0:21:19.520
<v Speaker 1>um by having the best of the little pieces that

0:21:19.560 --> 0:21:21.959
<v Speaker 1>really matter and having a lot of like not as

0:21:22.000 --> 0:21:24.760
<v Speaker 1>good pieces that didn't really matter as much. And so

0:21:24.960 --> 0:21:28.720
<v Speaker 1>they're everyone is kind of going to this like hybrid playbook,

0:21:29.080 --> 0:21:32.240
<v Speaker 1>and every company to a certain extent is pursuing this.

0:21:32.440 --> 0:21:35.560
<v Speaker 1>And yeah, I mean I can talk to individual companies

0:21:35.560 --> 0:21:37.159
<v Speaker 1>in particular, but like I know, it's like I know,

0:21:37.240 --> 0:21:40.280
<v Speaker 1>it's a lot to wrap your mind around sometimes. So

0:21:41.000 --> 0:21:44.240
<v Speaker 1>when we think of Intel, we think of this sort

0:21:44.280 --> 0:21:47.520
<v Speaker 1>of like basic business model, which I guess you know

0:21:47.600 --> 0:21:50.440
<v Speaker 1>still exists. Is still primates tons of one a where

0:21:50.440 --> 0:21:53.159
<v Speaker 1>the the one company makes the chips and then another

0:21:53.240 --> 0:21:58.040
<v Speaker 1>company puts together boxes or laptops or servers where they

0:21:58.040 --> 0:22:03.000
<v Speaker 1>assemble various components, taking Intel chips or chips from elsewhere

0:22:03.000 --> 0:22:06.240
<v Speaker 1>and then packaging them and distributing them, etcetera. Apple is

0:22:06.280 --> 0:22:08.800
<v Speaker 1>always kind of the strewed that model, being much more

0:22:09.160 --> 0:22:12.600
<v Speaker 1>vertically or horizontally integrated, I can never remember which is

0:22:12.640 --> 0:22:16.320
<v Speaker 1>which and having a sort of custom set. Is that

0:22:16.400 --> 0:22:20.040
<v Speaker 1>fundamental model going to remain or is there going to

0:22:20.080 --> 0:22:24.600
<v Speaker 1>be pressure on the very premise of having a separate

0:22:25.000 --> 0:22:30.800
<v Speaker 1>computer that's distinct from a chip. So, yeah, that's a

0:22:30.840 --> 0:22:34.879
<v Speaker 1>great question, I think. Um, I mean, man, I can't.

0:22:35.119 --> 0:22:37.440
<v Speaker 1>I think something that's happening in the near term is

0:22:37.480 --> 0:22:41.679
<v Speaker 1>definitely verticalization, like you're seeing it with Apple, and they're

0:22:41.720 --> 0:22:45.840
<v Speaker 1>they're probably furthest down the road. I actually wrote about

0:22:45.880 --> 0:22:49.040
<v Speaker 1>this quite a bit, But like Amazon in some ways

0:22:49.160 --> 0:22:52.280
<v Speaker 1>is making sure that their whole data center is pretty

0:22:52.320 --> 0:22:55.200
<v Speaker 1>much owned by them using arm chips that they license

0:22:55.760 --> 0:23:00.119
<v Speaker 1>manufactured on t SMC and in some ways, they're their

0:23:00.160 --> 0:23:02.520
<v Speaker 1>whole data center will be vertical and they'll start to

0:23:03.440 --> 0:23:05.439
<v Speaker 1>like think of the data center as a giant computer.

0:23:05.680 --> 0:23:08.560
<v Speaker 1>They'll own the entire thing, and it won't be like

0:23:08.600 --> 0:23:10.000
<v Speaker 1>how it used to be where you could build your

0:23:10.000 --> 0:23:13.160
<v Speaker 1>own computer or in this case, a data center. Instead,

0:23:13.400 --> 0:23:15.919
<v Speaker 1>you're going to be forced to be vertical, just like

0:23:16.000 --> 0:23:18.320
<v Speaker 1>Apple is kind of for your phone, if that makes

0:23:18.320 --> 0:23:20.960
<v Speaker 1>any sense. That's a huge that's a huge new trend

0:23:21.040 --> 0:23:24.920
<v Speaker 1>that is like right now happening. The AWS announcements last

0:23:25.359 --> 0:23:28.480
<v Speaker 1>like the last week or so pretty much they announced

0:23:28.480 --> 0:23:31.719
<v Speaker 1>like three pieces of custom silicon, which is which is crazy.

0:23:32.040 --> 0:23:34.920
<v Speaker 1>So so they're they're doing this, but think of think

0:23:34.920 --> 0:23:37.040
<v Speaker 1>of it in a much bigger picture versus Apple out

0:23:37.040 --> 0:23:40.000
<v Speaker 1>a much smaller picture. And same with Microsoft, same with UM,

0:23:40.119 --> 0:23:43.760
<v Speaker 1>same with Google especially, and Facebook has even recently hired

0:23:43.840 --> 0:23:47.040
<v Speaker 1>someone to probably start this this path for them as

0:23:47.040 --> 0:23:50.760
<v Speaker 1>well too. So I have a dumb question kind of

0:23:50.800 --> 0:23:54.040
<v Speaker 1>going in the opposite direction. But if Apple is making,

0:23:54.440 --> 0:23:57.119
<v Speaker 1>you know, this new type of chip that everyone is

0:23:57.240 --> 0:24:01.800
<v Speaker 1>very excited about, could they ever sell it on the

0:24:01.840 --> 0:24:05.400
<v Speaker 1>market in the way that you know, Intel sells its

0:24:05.480 --> 0:24:08.040
<v Speaker 1>chips or does it just not make any sense for

0:24:08.119 --> 0:24:11.000
<v Speaker 1>them to do it. I think I think it makes

0:24:11.040 --> 0:24:13.600
<v Speaker 1>a lot of sense. The YouTube community is freaking out

0:24:13.640 --> 0:24:16.160
<v Speaker 1>right now about if M one can run Windows, because

0:24:16.160 --> 0:24:18.879
<v Speaker 1>if it can, that would be awesome, and so Apple

0:24:18.960 --> 0:24:21.479
<v Speaker 1>could actually, um they could sell it. I don't know

0:24:21.520 --> 0:24:24.600
<v Speaker 1>if that would be kind of like in their ethos right,

0:24:24.640 --> 0:24:27.760
<v Speaker 1>like they make very very defined um in like a

0:24:27.880 --> 0:24:33.440
<v Speaker 1>very closed ecosystem, but um, yes they could, and even

0:24:33.560 --> 0:24:35.840
<v Speaker 1>Microsoft would buy it for their UM for their high

0:24:35.920 --> 0:24:38.240
<v Speaker 1>end surface books. A lot of a lot of the

0:24:38.359 --> 0:24:40.960
<v Speaker 1>laptop O E M s would definitely be an insta buyer.

0:24:41.400 --> 0:24:44.040
<v Speaker 1>So um yeah, if they wanted to, they could instantly

0:24:44.080 --> 0:24:46.320
<v Speaker 1>they could open it up and sell it, and I

0:24:46.359 --> 0:24:48.080
<v Speaker 1>think it would be really good for their business, Like

0:24:48.359 --> 0:24:51.240
<v Speaker 1>it would be gross margin, a creative. Um it's actually

0:24:51.240 --> 0:24:54.120
<v Speaker 1>probably more profitable than selling the phones out right, which

0:24:54.160 --> 0:24:57.960
<v Speaker 1>is crazy to think about. And I have two questions.

0:24:58.000 --> 0:25:00.080
<v Speaker 1>One is very short and one is a little that

0:25:00.640 --> 0:25:03.280
<v Speaker 1>following onto what you just said. Hey, I you've said

0:25:03.280 --> 0:25:05.480
<v Speaker 1>the term ARM or you talked about ARM a few times.

0:25:05.600 --> 0:25:08.040
<v Speaker 1>What does ARM mean or what does it stand for?

0:25:08.119 --> 0:25:11.120
<v Speaker 1>What does it represent and to just there you said,

0:25:11.119 --> 0:25:14.040
<v Speaker 1>the question is can it run Windows? What do we

0:25:14.240 --> 0:25:16.600
<v Speaker 1>really talking about when like, here's this powerful chip, can

0:25:16.600 --> 0:25:18.399
<v Speaker 1>it run a piece of software? What would be the

0:25:18.440 --> 0:25:22.040
<v Speaker 1>tension or the difficulty in running Windows? And how much

0:25:22.119 --> 0:25:24.600
<v Speaker 1>does that sort of add to all this this this

0:25:24.800 --> 0:25:30.520
<v Speaker 1>need to sink the chip with the with the operating system. Okay,

0:25:30.560 --> 0:25:34.320
<v Speaker 1>so arm is UM is kind of one of those languages.

0:25:34.440 --> 0:25:37.240
<v Speaker 1>I don't remember what it stands for off the top

0:25:37.240 --> 0:25:40.760
<v Speaker 1>of my head, but it's it's actually it's it actually

0:25:40.800 --> 0:25:43.639
<v Speaker 1>got sold to Navidio. Well it's in the process of

0:25:43.640 --> 0:25:45.399
<v Speaker 1>the deal to the video, which is like, you know,

0:25:45.480 --> 0:25:49.480
<v Speaker 1>super High States is arm accompany? Yes, Arms arms a company. Yeah,

0:25:49.520 --> 0:25:51.679
<v Speaker 1>I mean I know that arm is a company, but

0:25:51.760 --> 0:25:54.040
<v Speaker 1>it's also a language. Like this is where I always

0:25:54.440 --> 0:25:57.119
<v Speaker 1>Army is a company, and they pretty much they pretty

0:25:57.160 --> 0:26:00.959
<v Speaker 1>much license their software. They're they're tied their language of

0:26:01.320 --> 0:26:04.920
<v Speaker 1>silicon out to anyone who wants to use it. So um,

0:26:04.920 --> 0:26:07.960
<v Speaker 1>whenever ARM licensit, they essentially say like, hey, you can

0:26:08.160 --> 0:26:10.240
<v Speaker 1>you can use this, will even help you tinker with

0:26:10.240 --> 0:26:12.200
<v Speaker 1>it a little bit, make sure it works out, and

0:26:12.320 --> 0:26:14.400
<v Speaker 1>you're gonna have to like two of revenues or something

0:26:14.400 --> 0:26:17.320
<v Speaker 1>like that. It's usually a percentage of and it's it's

0:26:17.320 --> 0:26:19.240
<v Speaker 1>pretty cheap for a lot of companies, like right if

0:26:19.280 --> 0:26:21.600
<v Speaker 1>you if you don't have any silicon expertise in house,

0:26:21.680 --> 0:26:23.879
<v Speaker 1>like building anything from the ground up is you know,

0:26:23.920 --> 0:26:27.119
<v Speaker 1>probably a billion dollars plus enterprise. And so ARM just

0:26:27.200 --> 0:26:29.280
<v Speaker 1>does that all for free. You can essentially just buy

0:26:29.400 --> 0:26:33.359
<v Speaker 1>off the off the shelf ARM you know, cores or

0:26:33.480 --> 0:26:36.240
<v Speaker 1>i P and then you can kind of build build

0:26:36.280 --> 0:26:40.560
<v Speaker 1>your own little piece UM itself and and UM. Oh

0:26:40.720 --> 0:26:43.920
<v Speaker 1>and so the software side of it, so x A

0:26:44.040 --> 0:26:46.560
<v Speaker 1>D six is pretty much what everything for the PC

0:26:46.720 --> 0:26:49.720
<v Speaker 1>has been built on. ARM obviously is everything mobile has

0:26:49.720 --> 0:26:52.960
<v Speaker 1>already been built on UM. And there's kind of been

0:26:53.040 --> 0:26:56.160
<v Speaker 1>this push, this push and pull right like because ARM

0:26:56.320 --> 0:27:00.640
<v Speaker 1>right now definitely has the ecosystem momentum, but UM people

0:27:00.640 --> 0:27:03.560
<v Speaker 1>are really nervous. Like even even the laptops, the M one.

0:27:03.760 --> 0:27:06.399
<v Speaker 1>The biggest problem with the new Mac laptops with with

0:27:06.440 --> 0:27:08.160
<v Speaker 1>the M one in it is that some of their

0:27:08.400 --> 0:27:10.359
<v Speaker 1>some of the programs won't work with it and you

0:27:10.400 --> 0:27:13.040
<v Speaker 1>pretty much have to you have to redo it to

0:27:13.280 --> 0:27:18.000
<v Speaker 1>make it into UM an ARM compatible style. However, I

0:27:18.040 --> 0:27:20.119
<v Speaker 1>mean a lot of companies kind of can see what

0:27:20.240 --> 0:27:22.239
<v Speaker 1>the writing on the wall is. So they are. But

0:27:22.640 --> 0:27:25.040
<v Speaker 1>there's also something called an emulator where essentially it's like

0:27:25.400 --> 0:27:28.400
<v Speaker 1>the ARM chip will run a mini you know, fake

0:27:28.520 --> 0:27:31.600
<v Speaker 1>x A six and then it will by using that

0:27:31.680 --> 0:27:34.240
<v Speaker 1>like you know emulation, it can do can move that

0:27:34.280 --> 0:27:37.480
<v Speaker 1>software and use it on that hardware. But um, so

0:27:37.560 --> 0:27:39.840
<v Speaker 1>it is a big deal. So right now it seems

0:27:39.840 --> 0:27:42.960
<v Speaker 1>like Windows um from my understanding, can run on M

0:27:43.000 --> 0:27:45.280
<v Speaker 1>one and but the problem is like when it does,

0:27:45.520 --> 0:27:47.960
<v Speaker 1>it's gonna be buggy, Like have you ever used a

0:27:48.040 --> 0:27:50.680
<v Speaker 1>Linux computer for example, Like you can't play video games

0:27:50.680 --> 0:27:53.440
<v Speaker 1>on the next computer because they're not compatible. And so

0:27:53.720 --> 0:27:56.960
<v Speaker 1>that same, that same kind of like problem with the

0:27:57.000 --> 0:27:59.479
<v Speaker 1>software ecosystems is going to have to be hammered out

0:27:59.480 --> 0:28:03.200
<v Speaker 1>and that's gonna, um a huge growing pain for everyone involved.

0:28:04.200 --> 0:28:08.960
<v Speaker 1>So I'm curious. Everyone is very excited about these specialized

0:28:09.119 --> 0:28:12.800
<v Speaker 1>chips is And we were talking a little bit about

0:28:12.880 --> 0:28:16.240
<v Speaker 1>Moore's law at this idea that like maybe it's not

0:28:16.760 --> 0:28:19.440
<v Speaker 1>completely dead, but people are having to look at new

0:28:19.440 --> 0:28:21.919
<v Speaker 1>ways to make their chips more efficient rather than just

0:28:22.000 --> 0:28:25.840
<v Speaker 1>making them faster. After we do this, after we do

0:28:25.880 --> 0:28:28.040
<v Speaker 1>these integrated chips or whatever, you want to call them.

0:28:28.240 --> 0:28:31.520
<v Speaker 1>What's the next big thing that you see down the

0:28:31.600 --> 0:28:34.800
<v Speaker 1>line for the industry. It's kind of like there's this

0:28:34.880 --> 0:28:38.880
<v Speaker 1>like mix of things going on. We're still getting smaller, right, Um,

0:28:38.880 --> 0:28:41.920
<v Speaker 1>that's that's one thing. That's a huge, a huge thing. Um.

0:28:42.120 --> 0:28:44.920
<v Speaker 1>TSMC just had their five minimeter as we discussed, as

0:28:44.960 --> 0:28:47.600
<v Speaker 1>you guys discussed in your last episode. Um, you know,

0:28:47.640 --> 0:28:50.080
<v Speaker 1>the nanimeters don't actually mean anything anymore. It's still a

0:28:50.080 --> 0:28:53.440
<v Speaker 1>marketing term. But but you do get benefits from getting smaller.

0:28:53.560 --> 0:28:56.440
<v Speaker 1>So that's still going to continue, just at a slower pace. Um,

0:28:56.440 --> 0:28:59.400
<v Speaker 1>the specialization is going to continue until it stops working.

0:28:59.800 --> 0:29:02.800
<v Speaker 1>And people there's kind of like you know, I've been

0:29:02.840 --> 0:29:05.360
<v Speaker 1>I read this paper that there is a theoretical limit

0:29:05.680 --> 0:29:07.920
<v Speaker 1>until when that stops working, but like we're going to

0:29:08.040 --> 0:29:11.040
<v Speaker 1>keep running down that road until it stops working. After that,

0:29:11.200 --> 0:29:16.200
<v Speaker 1>I I really don't know. I mean quantum stuff. You know.

0:29:16.280 --> 0:29:19.600
<v Speaker 1>I keep hearing and reading and researching and trying to

0:29:19.600 --> 0:29:22.040
<v Speaker 1>figure out if this is real. Clearly it's a little

0:29:22.040 --> 0:29:24.640
<v Speaker 1>bit away, but that would still only be really useful

0:29:24.680 --> 0:29:29.080
<v Speaker 1>for a very small subset of problems. And so I

0:29:29.120 --> 0:29:32.480
<v Speaker 1>think the way that we're going down which is specialization

0:29:32.840 --> 0:29:36.960
<v Speaker 1>is probably the the surest surest way forward. And not

0:29:37.080 --> 0:29:39.520
<v Speaker 1>only will it become it will like start from most

0:29:39.520 --> 0:29:42.240
<v Speaker 1>of the hardware, but like the software will probably start

0:29:42.280 --> 0:29:45.480
<v Speaker 1>to have have to be written better to couple with

0:29:45.760 --> 0:29:48.360
<v Speaker 1>the hardware. That's something that's like a big trend where

0:29:48.560 --> 0:29:51.000
<v Speaker 1>UM where the software and the hardware will kind of

0:29:51.000 --> 0:29:55.240
<v Speaker 1>specialized together. Because that's that's something that you can continue forward. Right,

0:29:55.240 --> 0:29:57.840
<v Speaker 1>Like the less flexible it is, the faster it will be,

0:29:58.040 --> 0:30:01.160
<v Speaker 1>versus the more flexible the less faster. And so if

0:30:01.160 --> 0:30:03.440
<v Speaker 1>you can just like kind of make it as at

0:30:03.560 --> 0:30:06.440
<v Speaker 1>the least flexible as possible in theory, you can make

0:30:06.480 --> 0:30:09.920
<v Speaker 1>everything into an ASI, and the speed ups that you

0:30:09.960 --> 0:30:14.760
<v Speaker 1>get between UM specialization and non specialization are our magnitudes

0:30:15.320 --> 0:30:17.640
<v Speaker 1>order faster. So that's the reason why it's so exciting,

0:30:17.680 --> 0:30:19.760
<v Speaker 1>because it's like you could have UM if you could

0:30:19.760 --> 0:30:22.360
<v Speaker 1>if you just made a single program that only had

0:30:22.400 --> 0:30:24.360
<v Speaker 1>to run one type of thing, you could make it

0:30:24.400 --> 0:30:26.760
<v Speaker 1>a hundred times faster by just running it on the

0:30:26.800 --> 0:30:30.000
<v Speaker 1>most specialized chip possible. Now you have to be really

0:30:30.040 --> 0:30:32.320
<v Speaker 1>really sure that all you want to do is just

0:30:32.520 --> 0:30:35.400
<v Speaker 1>this program and UM. A great example of this is

0:30:35.520 --> 0:30:39.040
<v Speaker 1>Google's TPU, which is a tensor processing unit, which is

0:30:39.520 --> 0:30:44.080
<v Speaker 1>their their ecosystem called TensorFlow, which is focused on deep learning.

0:30:44.760 --> 0:30:47.880
<v Speaker 1>So Google is like, hey, we know that we're gonna

0:30:47.920 --> 0:30:50.440
<v Speaker 1>be running a lot of tensor TensorFlow in the future,

0:30:50.480 --> 0:30:53.200
<v Speaker 1>and AI is going to become this huge exponential problem.

0:30:53.360 --> 0:30:55.280
<v Speaker 1>So we're gonna make We're gonna make a chip that

0:30:55.360 --> 0:30:58.920
<v Speaker 1>only runs TensorFlow. And it's really really fast. It's um

0:30:58.960 --> 0:31:01.440
<v Speaker 1>compared to how would be done on a CPU. I

0:31:01.480 --> 0:31:04.000
<v Speaker 1>couldn't really tell you, but it's like ten two hundred,

0:31:04.280 --> 0:31:07.280
<v Speaker 1>maybe even more like the magnitude it's it's a lot faster.

0:31:07.520 --> 0:31:10.600
<v Speaker 1>And so until the specialization stops working, I don't really

0:31:10.600 --> 0:31:14.640
<v Speaker 1>see anything that's going to um gonna stop stop it

0:31:14.760 --> 0:31:19.160
<v Speaker 1>for now. So basically it sounds like sort of wrapping

0:31:19.200 --> 0:31:24.000
<v Speaker 1>some of these thoughts together, is that as chip architecture

0:31:24.400 --> 0:31:30.080
<v Speaker 1>has migrated towards more specialized tasks, more specific tasks you

0:31:30.160 --> 0:31:34.080
<v Speaker 1>just mentioned Google and it's deep learning AI stuff, it

0:31:34.200 --> 0:31:38.200
<v Speaker 1>really becomes more part and parcel with every technology. So

0:31:38.320 --> 0:31:43.480
<v Speaker 1>if you're working on machine learning or AI, you it's

0:31:43.480 --> 0:31:45.880
<v Speaker 1>almost like you have to have a chip component to it,

0:31:46.120 --> 0:31:49.240
<v Speaker 1>or I guess maybe it makes sense to pursue a

0:31:49.320 --> 0:31:52.800
<v Speaker 1>chip component rather than just sort of writing code, writing

0:31:52.840 --> 0:31:57.960
<v Speaker 1>software and then running that generic off the shelf chip

0:31:58.040 --> 0:32:01.040
<v Speaker 1>from some other companies. Yeah, that's the perfect way to

0:32:01.040 --> 0:32:04.120
<v Speaker 1>put it together. And and frankly, it used to be awesome,

0:32:04.200 --> 0:32:06.000
<v Speaker 1>and we used to just do it, like think about

0:32:06.040 --> 0:32:07.480
<v Speaker 1>how awesome would be. It's like, oh, you can just

0:32:07.520 --> 0:32:09.719
<v Speaker 1>write the software and every year it just gets you know,

0:32:09.800 --> 0:32:13.640
<v Speaker 1>every two years it gets faster, like faster. Um, you

0:32:13.640 --> 0:32:15.400
<v Speaker 1>didn't have to think about any of this, and it's

0:32:15.440 --> 0:32:17.200
<v Speaker 1>it's a pain to think about all this stuff where

0:32:17.240 --> 0:32:19.440
<v Speaker 1>it's like, hey, we have to make a custom chip

0:32:19.520 --> 0:32:22.440
<v Speaker 1>platform in order for our software to get faster. You know,

0:32:22.480 --> 0:32:24.360
<v Speaker 1>we missed the old days of more slow for a reason.

0:32:24.720 --> 0:32:28.479
<v Speaker 1>But now now that we're slowing down, clearly clearly like

0:32:28.480 --> 0:32:31.400
<v Speaker 1>we're gonna have to do some very specialized, very top

0:32:31.400 --> 0:32:35.120
<v Speaker 1>to bottom structures of software and hardware that work together

0:32:35.160 --> 0:32:53.640
<v Speaker 1>to make the best outcome. So so I just have

0:32:53.840 --> 0:32:56.760
<v Speaker 1>a couple more questions. But one that I'm interested in

0:32:56.880 --> 0:32:59.280
<v Speaker 1>is like, you know, we've been talking about Intel, We've

0:32:59.280 --> 0:33:01.560
<v Speaker 1>been talking about Apple, We've been talking about Google, Amazon,

0:33:02.280 --> 0:33:05.360
<v Speaker 1>in video and Taiwan Semi. But in video has become

0:33:05.440 --> 0:33:08.000
<v Speaker 1>this monster, and I'm curious like their role in it

0:33:08.040 --> 0:33:11.080
<v Speaker 1>because I mostly think of them as a company that

0:33:11.120 --> 0:33:13.760
<v Speaker 1>makes chips for video games, but then I always see

0:33:13.800 --> 0:33:17.160
<v Speaker 1>stuff like about how they're also doing stuff with self

0:33:17.280 --> 0:33:21.120
<v Speaker 1>driving cars and sometimes I see these really cool demos

0:33:21.240 --> 0:33:24.560
<v Speaker 1>or like other sort of machine learning image recognition types

0:33:24.600 --> 0:33:27.600
<v Speaker 1>of thing. What is their role in the ecosystem? What

0:33:27.680 --> 0:33:30.240
<v Speaker 1>is their competitive advantage and how did they emerge to

0:33:30.320 --> 0:33:32.720
<v Speaker 1>be just like such an incredible player in the stock's

0:33:32.760 --> 0:33:35.600
<v Speaker 1>just done? Wild? Yeah, yeah, so the company is wild.

0:33:35.680 --> 0:33:39.560
<v Speaker 1>Jensen Jong is awesome, like he's he's he's an amazing CEO,

0:33:39.640 --> 0:33:45.000
<v Speaker 1>but notoriously um, notoriously stubborn. He's very like Steve Jobs.

0:33:45.040 --> 0:33:47.840
<v Speaker 1>Ask GPUs think about this way that there's a gradient

0:33:47.920 --> 0:33:50.440
<v Speaker 1>of like the most general to the to the least general.

0:33:50.480 --> 0:33:54.440
<v Speaker 1>GPUs are one step past the CPU and where it's

0:33:54.480 --> 0:33:56.560
<v Speaker 1>like it's still pretty flexible and you can, you know,

0:33:56.760 --> 0:33:58.400
<v Speaker 1>you can make it do a lot of things, but

0:33:58.440 --> 0:34:00.920
<v Speaker 1>it's not like so but it's a lot faster, but

0:34:00.960 --> 0:34:03.120
<v Speaker 1>it's not so inflexible that it's like a pain to

0:34:03.160 --> 0:34:06.120
<v Speaker 1>write for. And so that's kind of they're been they're

0:34:06.240 --> 0:34:10.600
<v Speaker 1>huge benefits. So as the original use of a GPU

0:34:10.800 --> 0:34:13.680
<v Speaker 1>is essentially to make all the pixels on your screen

0:34:14.120 --> 0:34:16.320
<v Speaker 1>in parallel, and and that's really hard because you have

0:34:16.400 --> 0:34:18.040
<v Speaker 1>to do it all at the same time. And so

0:34:18.280 --> 0:34:22.400
<v Speaker 1>whenever you hear about paralyzation and that, GPUs are like

0:34:22.440 --> 0:34:26.239
<v Speaker 1>these super parallel engines that are really good at calculating

0:34:26.360 --> 0:34:28.560
<v Speaker 1>everything at the same time. And so the reason why

0:34:28.560 --> 0:34:31.480
<v Speaker 1>that's so important is like a I actually happens to

0:34:31.480 --> 0:34:34.319
<v Speaker 1>be that kind of that same use set almost identically

0:34:34.480 --> 0:34:39.399
<v Speaker 1>UM and so they have this huge ecosystem and they're like, hey, well,

0:34:39.400 --> 0:34:42.040
<v Speaker 1>why don't you use your all your AI things and

0:34:42.040 --> 0:34:44.560
<v Speaker 1>we'll speed up with this GPU. And it's very easy

0:34:44.600 --> 0:34:47.680
<v Speaker 1>to use, and so that's been their huge they're huge

0:34:47.960 --> 0:34:50.560
<v Speaker 1>step is that it's much better than the CPU. It's

0:34:50.600 --> 0:34:54.160
<v Speaker 1>extremely easy to program and and they've they've started to

0:34:54.160 --> 0:34:56.040
<v Speaker 1>add a lot of software demos and and so they're

0:34:56.120 --> 0:34:58.799
<v Speaker 1>kind of in some ways, what what Navidio is doing

0:34:59.000 --> 0:35:01.680
<v Speaker 1>is that they're they're also making their own ecosystem, but

0:35:01.719 --> 0:35:04.000
<v Speaker 1>instead of starting with the software and moving down like

0:35:04.080 --> 0:35:06.520
<v Speaker 1>let's say Apple, they're starting with the hardware and trying

0:35:06.560 --> 0:35:09.400
<v Speaker 1>to move up. And GPUs are, by the way specialized

0:35:09.520 --> 0:35:12.520
<v Speaker 1>they are. They are less. They're less specialized than a

0:35:12.600 --> 0:35:14.520
<v Speaker 1>six or an I P or what you know, all

0:35:14.560 --> 0:35:17.120
<v Speaker 1>the other really really specific things that just do one

0:35:17.160 --> 0:35:20.040
<v Speaker 1>thing really well. They can do multiple things pretty well,

0:35:20.400 --> 0:35:24.160
<v Speaker 1>but um, they are obviously more specialized than a CPU

0:35:24.200 --> 0:35:27.520
<v Speaker 1>that can do everything. You know, kind of Okay, So

0:35:27.920 --> 0:35:30.560
<v Speaker 1>that's that's been their big role, and they've really taken

0:35:30.600 --> 0:35:32.520
<v Speaker 1>a lot of share as as things have started to

0:35:32.560 --> 0:35:34.440
<v Speaker 1>specialized a little bit. They're they're the they're there like

0:35:34.480 --> 0:35:37.719
<v Speaker 1>the easiest first step, if it makes sense. But I

0:35:37.760 --> 0:35:41.040
<v Speaker 1>have one more question. So you know, for a long time,

0:35:41.840 --> 0:35:44.319
<v Speaker 1>I feel like, and correct me if I'm wrong, but

0:35:44.480 --> 0:35:48.040
<v Speaker 1>I feel like the semiconductor industry for like decades was

0:35:48.120 --> 0:35:50.719
<v Speaker 1>sort of like a cyclical industry, and you'd have these

0:35:50.760 --> 0:35:54.160
<v Speaker 1>sort of it's almost like manufacturing or like an industrial thing,

0:35:54.200 --> 0:35:56.920
<v Speaker 1>and you have these up cycles when there was growth,

0:35:57.400 --> 0:36:00.560
<v Speaker 1>and then you'd have like an inventory correction and the

0:36:00.560 --> 0:36:03.000
<v Speaker 1>foundries and the chip companies have made too many chips,

0:36:03.000 --> 0:36:05.880
<v Speaker 1>and then they'd have to cut prices or d stock

0:36:05.920 --> 0:36:08.520
<v Speaker 1>and they'd go into a downturn and so forth. And

0:36:08.520 --> 0:36:11.320
<v Speaker 1>then it feels like in the last several years, maybe

0:36:11.360 --> 0:36:14.080
<v Speaker 1>five years, ten years, I don't know, it has stopped

0:36:14.080 --> 0:36:17.879
<v Speaker 1>being a cyclical industry and become more secular. And and

0:36:17.920 --> 0:36:20.399
<v Speaker 1>that is as chips get put into more and more

0:36:20.520 --> 0:36:23.920
<v Speaker 1>things and phones and all kinds of different stuff. So

0:36:23.960 --> 0:36:25.920
<v Speaker 1>it's like less of an up and down cycle and

0:36:26.000 --> 0:36:29.440
<v Speaker 1>more just like a sort of growth industry. A Is

0:36:29.480 --> 0:36:34.120
<v Speaker 1>that true? Is my perception correct? And be? Is there

0:36:34.160 --> 0:36:38.640
<v Speaker 1>any slow down on the horizon for the world's overall

0:36:38.680 --> 0:36:41.160
<v Speaker 1>demands for chips or do we just keep finding new

0:36:41.200 --> 0:36:43.239
<v Speaker 1>places and new new places to put them in, new

0:36:43.280 --> 0:36:47.879
<v Speaker 1>needs for them. Um? So yes, historically it was a

0:36:47.960 --> 0:36:51.480
<v Speaker 1>crazy cyclical industry. If you guys have ever read um

0:36:51.680 --> 0:36:57.359
<v Speaker 1>the Innovators what I'm dilemma, Yeah, innovatives sylemma. The case

0:36:57.360 --> 0:37:00.520
<v Speaker 1>studies he uses is almost all semi conductor bunnies because

0:37:00.520 --> 0:37:03.520
<v Speaker 1>they're so cyclical and they're they're like constantly you know,

0:37:03.920 --> 0:37:06.040
<v Speaker 1>you know, destroying each other's modes, and they're you know,

0:37:06.160 --> 0:37:09.080
<v Speaker 1>they're they're innovating and then you know, growing up and

0:37:09.080 --> 0:37:12.319
<v Speaker 1>then they're dying like it's it's chaoss um. Things have

0:37:12.560 --> 0:37:15.520
<v Speaker 1>definitely changed a little bit since those days, and so

0:37:16.280 --> 0:37:19.200
<v Speaker 1>one of the largest markets that really dictates the cycklicality

0:37:19.320 --> 0:37:23.680
<v Speaker 1>of all the semiconductor and UM markets is memory, and

0:37:23.760 --> 0:37:26.640
<v Speaker 1>there's been this thesis that UM it's become a lot

0:37:26.680 --> 0:37:29.279
<v Speaker 1>more consolidated, meaning that there's like I think there used

0:37:29.280 --> 0:37:31.200
<v Speaker 1>to be you know, tens of players. There's like three

0:37:31.239 --> 0:37:33.560
<v Speaker 1>for DRAM, which is a type of memory, and five

0:37:33.640 --> 0:37:36.040
<v Speaker 1>for nand five to six or whatever. And so that's

0:37:36.160 --> 0:37:40.120
<v Speaker 1>on one hand, that's that's dampen the cycklicality. And pretty

0:37:40.200 --> 0:37:42.560
<v Speaker 1>much they used to do they used to do the

0:37:42.600 --> 0:37:45.759
<v Speaker 1>races bottom thing where um, whenever things would go down,

0:37:45.800 --> 0:37:47.959
<v Speaker 1>they would just add more supply and then everyone would

0:37:48.120 --> 0:37:51.000
<v Speaker 1>would bankrupt together kind of like shale is to some

0:37:51.200 --> 0:37:54.279
<v Speaker 1>extent or or does. And and they've done less of that,

0:37:54.560 --> 0:37:58.240
<v Speaker 1>and that's been one one thing that's dampened the cycklicality. UM.

0:37:58.320 --> 0:38:02.479
<v Speaker 1>But I think going forward, it seems like there's more

0:38:02.560 --> 0:38:05.000
<v Speaker 1>end markets than ever. In the past. It was really

0:38:05.040 --> 0:38:09.080
<v Speaker 1>just like PCs, right, and then phones became well PCs,

0:38:09.160 --> 0:38:12.440
<v Speaker 1>and and there's some like some industrial and like you know, aerospace,

0:38:12.480 --> 0:38:14.560
<v Speaker 1>and there's always been small markets, but for the most

0:38:14.600 --> 0:38:17.360
<v Speaker 1>part it was just the PC market. And then phones

0:38:17.400 --> 0:38:20.080
<v Speaker 1>became a thing, and then so now became PC and mobile.

0:38:20.360 --> 0:38:22.520
<v Speaker 1>And now it seems like auto is becoming a thing.

0:38:22.640 --> 0:38:25.239
<v Speaker 1>So auto is this new third third market, and so

0:38:25.280 --> 0:38:27.920
<v Speaker 1>it's industrial IoT stuff, which I keep hearing about, but

0:38:28.000 --> 0:38:30.520
<v Speaker 1>I'm always confused about how the semiconductors work into it.

0:38:30.800 --> 0:38:33.720
<v Speaker 1>And then um, the AI market in itself will probably

0:38:33.719 --> 0:38:37.800
<v Speaker 1>become so demand intensive from the cloud, from the cloud

0:38:37.840 --> 0:38:41.200
<v Speaker 1>customers that they'll have their own end cycle. And so

0:38:41.400 --> 0:38:44.680
<v Speaker 1>there's each of these markets have their own cycles to

0:38:44.680 --> 0:38:47.840
<v Speaker 1>to their own extent, but together all the demand is

0:38:47.840 --> 0:38:51.560
<v Speaker 1>starting to like overlap and make it a lot more smooth,

0:38:51.600 --> 0:38:54.560
<v Speaker 1>if that makes sense. To be fair, the market is

0:38:54.600 --> 0:38:57.880
<v Speaker 1>still cyclical, it will always be. It will always probably

0:38:57.880 --> 0:39:01.640
<v Speaker 1>be cyclical, but I think all the demand aspects are

0:39:01.719 --> 0:39:05.239
<v Speaker 1>really pulling things forward, and at least in the near term,

0:39:05.360 --> 0:39:09.840
<v Speaker 1>I think next year seems really well positioned. Like, for example,

0:39:10.040 --> 0:39:13.720
<v Speaker 1>they're saying, like this huge influx of auto demand in China,

0:39:13.800 --> 0:39:16.440
<v Speaker 1>They're like, well, we can't really make it because we're

0:39:16.640 --> 0:39:19.239
<v Speaker 1>we're struggling with semiconductor capacity. That's the headline that came

0:39:19.280 --> 0:39:22.280
<v Speaker 1>out in the last few days. And I think that means,

0:39:22.560 --> 0:39:24.839
<v Speaker 1>you know, that's kind of a sign of of all

0:39:24.880 --> 0:39:27.600
<v Speaker 1>the new things that semiconductors have become a part of,

0:39:27.719 --> 0:39:30.400
<v Speaker 1>not just your PC, but your car, but you're you know,

0:39:30.760 --> 0:39:33.399
<v Speaker 1>your nests, thermostat all the other things in the world

0:39:33.400 --> 0:39:35.839
<v Speaker 1>that you use. So can I just ask one follow

0:39:35.920 --> 0:39:38.799
<v Speaker 1>up on what you just said. You said someone came

0:39:38.840 --> 0:39:43.840
<v Speaker 1>out and was talking about Chinese car production like ramping up.

0:39:43.880 --> 0:39:45.680
<v Speaker 1>Who who was that and that they couldn't make all

0:39:45.680 --> 0:39:50.399
<v Speaker 1>the chips needed for it. It was Volkswagen. Volkswagen. Okay,

0:39:50.440 --> 0:39:52.040
<v Speaker 1>thank you, Sorry, I just wanted to look it up

0:39:52.080 --> 0:39:55.799
<v Speaker 1>after this. Yeah, yeah, I want to say it was

0:39:55.800 --> 0:39:58.080
<v Speaker 1>a Reuter's article, but it pretty much was like, hey,

0:39:58.360 --> 0:40:02.759
<v Speaker 1>semicoucter manufacturers can add capacity because it's like so, I mean,

0:40:03.239 --> 0:40:08.239
<v Speaker 1>that's really interesting, and like like auto constantly is just

0:40:08.360 --> 0:40:10.040
<v Speaker 1>called out as this market that's going to be this

0:40:10.160 --> 0:40:13.200
<v Speaker 1>huge thing, and it is obviously a very big market.

0:40:13.280 --> 0:40:15.719
<v Speaker 1>But like if we're really going down the route of

0:40:15.719 --> 0:40:18.640
<v Speaker 1>EV stuff like hardcore, you know we can we can

0:40:18.760 --> 0:40:21.000
<v Speaker 1>you know, no comment on the ev s back bubble

0:40:21.160 --> 0:40:23.640
<v Speaker 1>or whatever, then there's gonna be a lot of more

0:40:23.719 --> 0:40:29.799
<v Speaker 1>semi connects. Right, It's it's like almost completely digital. Now.

0:40:30.120 --> 0:40:34.120
<v Speaker 1>That was fantastic. You're you're great at explaining this and

0:40:34.400 --> 0:40:39.120
<v Speaker 1>really appreciate you making your public non anonymous debut on

0:40:39.280 --> 0:40:41.719
<v Speaker 1>Odd Lots and I learned a lot to Thanks for

0:40:41.719 --> 0:41:07.680
<v Speaker 1>coming up. Thanks man, I really enjoyed it. So, Tracy,

0:41:07.719 --> 0:41:11.120
<v Speaker 1>are are you cool now to change the focus of

0:41:11.120 --> 0:41:15.480
<v Speaker 1>our podcast on a permanent basis. I don't think I'm

0:41:15.560 --> 0:41:20.320
<v Speaker 1>quite there yet. I admit that semiconductors are a lot interesting. Um,

0:41:20.320 --> 0:41:24.880
<v Speaker 1>then perhaps I gave them credit for before we've recorded

0:41:24.920 --> 0:41:27.680
<v Speaker 1>these two episodes. But yeah, I don't think I want

0:41:27.719 --> 0:41:32.080
<v Speaker 1>to do all thoughts um Comma Semiconductor Specialists just yet.

0:41:32.360 --> 0:41:33.840
<v Speaker 1>Well I was gonna say, maybe, like when we're a

0:41:33.880 --> 0:41:36.160
<v Speaker 1>gigantic media brand in our own right, we could do

0:41:36.239 --> 0:41:42.240
<v Speaker 1>like a spinoff show, The Semiconductor Vertical. Yeah, the semi

0:41:42.239 --> 0:41:46.120
<v Speaker 1>Conductor Vertical excellent. Um. What I was gonna say is

0:41:46.600 --> 0:41:50.120
<v Speaker 1>I'm quite interested in possibly looking at one of those

0:41:50.160 --> 0:41:54.680
<v Speaker 1>Apple UM and one computers at some point. Yeah. I

0:41:54.680 --> 0:41:57.520
<v Speaker 1>don't think we intended for this episode to be a

0:41:57.600 --> 0:42:01.400
<v Speaker 1>giant advertisement for Apple snow chip, but a lot of

0:42:01.440 --> 0:42:03.680
<v Speaker 1>people are excited about it, and it was really interesting

0:42:03.880 --> 0:42:07.520
<v Speaker 1>listening to Doug go into some of the technical details

0:42:07.560 --> 0:42:12.320
<v Speaker 1>about why exactly it's considered such a new thing. Yeah. No,

0:42:12.440 --> 0:42:15.400
<v Speaker 1>I thought that was super interesting as well. Um, I

0:42:15.440 --> 0:42:17.880
<v Speaker 1>feel like the next one we do in our series,

0:42:18.360 --> 0:42:23.040
<v Speaker 1>we should do like at t s MC focus for sure. Yeah,

0:42:23.239 --> 0:42:25.680
<v Speaker 1>let's do that. Like I feel like, you know, like

0:42:25.680 --> 0:42:27.880
<v Speaker 1>we've done until this sort of a sort of a

0:42:27.920 --> 0:42:30.240
<v Speaker 1>little more Apple heavy all the everyone. But it feels

0:42:30.280 --> 0:42:33.160
<v Speaker 1>like t SMC is just like such a fascinating story

0:42:33.200 --> 0:42:35.920
<v Speaker 1>and it's own right, combining their sort of tech prowess

0:42:35.960 --> 0:42:39.719
<v Speaker 1>and geopolitical significance. That that that's that whenever we do

0:42:39.760 --> 0:42:43.000
<v Speaker 1>our next trip episode, let's do it on that agreed,

0:42:43.400 --> 0:42:46.799
<v Speaker 1>all right? Should we leave it there? Yeah, let's leave

0:42:46.800 --> 0:42:50.759
<v Speaker 1>it there. Okay. This has been another episode of the

0:42:50.800 --> 0:42:53.440
<v Speaker 1>All Thoughts podcast. I'm Tracy Alloway. You can follow me

0:42:53.520 --> 0:42:57.440
<v Speaker 1>on Twitter at Tracy Alloway. And I'm Joe Wisenthal. You

0:42:57.480 --> 0:43:00.640
<v Speaker 1>can follow me on Twitter at the Stalwart. Follow our

0:43:00.680 --> 0:43:04.359
<v Speaker 1>guest Doug Laucelin on Twitter. He's under the handle at

0:43:04.560 --> 0:43:07.160
<v Speaker 1>full All the Time. Also be sure to check out

0:43:07.200 --> 0:43:12.680
<v Speaker 1>his newsletter Mules Musing. Follow our producer Laura Carlson at

0:43:12.760 --> 0:43:16.480
<v Speaker 1>Laura M. Carlson. Follow the Bloomberg head of podcast, Francesco

0:43:16.600 --> 0:43:19.839
<v Speaker 1>Levi at Francisco Today, and check out all of our

0:43:19.880 --> 0:43:24.200
<v Speaker 1>podcasts at Bloomberg under the handle at podcast, Thanks for listening,