WEBVTT

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Welcome to the AI Chat Podcast. I'm your host,

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Jaden Schaefer. Every day I cover cutting -edge

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AI news and talk with the leaders behind it,

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breaking down what it means for your life and

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business. Anthropic is building their own custom

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silicone team to design their own AI chips, and

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AMD has just unveiled something called the Helios

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Rack system. Their goal is to challenge NVIDIA

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head -on in AI data centers. Anthropic is upgrading

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Claude's voice mode. It's going to be now running

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on Opus and Sonnet. And Google Cloud Revenue

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jumped 82 % to $24 .8 billion. If anyone has

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been following Google for the last few weeks

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when they've released how much their AI spending

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is and their stock took a massive hit, well,

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evidently, this is the reason why they announced

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that. OpenAI and Anthropic are both lobbying

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Washington to curb Chinese openweight AI. We've

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talked about this a lot on the podcast, but this

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is kind of the latest news on the lobbying front.

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If you want to get a deep dive on these and a

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dozen more stories every single day, I'd love

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for you to check out AIChatDaily .com. That's

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my own sister website, news site that is partnered

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with this podcast. It's essentially like a show

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notes, but it also goes deeper and has extra

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stories I don't cover in here. There's dozens

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of stories. every single day on all the latest

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AI news. And there's a newsletter that you can

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subscribe to on the website. So every single

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morning, if you like, you'll get the top five

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AI news stories straight into your inbox to keep

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you up to date with everything happening in AI.

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And you get some really quick breakdowns of all

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of the facts so that you understand what's going

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on. The website is AIChatDaily .com. The first

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story I wanted to talk about is the fact that

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Anthropic is building their own AI chip design

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team, and it's going to be for creating custom

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hardware for Claude. It's the same thing that

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OpenAI, Google, and Meta, they're all doing it

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right now. And the big reason is everyone wants

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to get off of NVIDIA. These companies are incredibly

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dependent on NVIDIA. NVIDIA basically has quotas

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and they dole out their GPUs and their chips,

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and they only give a certain amount to different

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companies, and nobody wants to feel bottlenecked

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by one player that they're obviously spending.

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a ton of money on. So everyone's building their

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own chips. Right now, they're also scouting Samsung

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as a manufacturing partner, which is ending Anthropic

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status as the basically the last major AI lab

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without a public silicone program. They're like,

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all right, it's time to get serious on that one.

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Anthropic currently relies on a bunch of different

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suppliers. So there's AWS, Google, NVIDIA, AMD,

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all of them give them compute. But of course,

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that means that they don't get to control the

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pricing allocation. or any of the roadmap timing.

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OpenAI shipped their Broadcom designed chip,

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which is called Jalapeno. It's an inference chip,

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and that was in June of this year. Google now

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runs their own TPUs. Meta is building MTIA accelerators.

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And Anthropic basically was the only one that

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wasn't working on this. Custom silicone typically

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takes between 18 to 24 months to design, and

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it's going to cost hundreds of millions of dollars

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per chip version. But every single efficiency

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gain that they can get on this compounds across...

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billions of dollars that Anthropic is using for

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these Claude API calls. So I think this is something

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that is kind of a play on margin. It's not a

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shortcut. This is going to take a long time.

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Anthropic can tune memory and math formats to

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Claude's exact workloads in a way that no off

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-the -shelf GPU can really match. But they're

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also betting on a two -year runway before any

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of that investment is going to get paid back.

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So this isn't something that's very quick, but

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over the long run, this might be a good play

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for them. After announcing a strategic partner,

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with in Anthropic. AMD has just unveiled Helios,

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which is a rack system for AI data centers, and

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they're saying that this is basically a direct

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competitor to NVIDIA's products that they have

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right now. Microsoft, OpenAI, Meta, Oracle, and

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Anthropic have all committed to deploying it

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at a gigawatt scale, and it's going to be starting

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shipments later this year. Anthropic and AMD

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both announced a strategic partnership to deploy

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up to two gigawatts of GPUs on Helios, which

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is, you know, the exact same scale of Nvidia's

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largest AI training cluster. So they're, you

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know, they're really being quite competitive

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in the market. AMD also introduced Venice X,

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which is a data center CPU designed to pair with

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Helios. And that's going to be launching in 2027.

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And it's going to compete on kind of this full

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stack alternative to a lot of the different competitors

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that are out there. The CEO, Lisa Su, projected

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the AI accelerator market will reach 1 .4 trillion.

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by 2030, approaching the size of today's entire

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semiconductor industry. So, you know, this one

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segment of the market she's saying is going to

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be as big as the entire semiconductor industry.

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This is the first time that AMD has landed all

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five major frontier AI labs on a single rack

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platform. They have everyone signed up for it.

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I think this is showing that they're really like

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a strong contender for a quote unquote second

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place option for a lot of these massive AI infrastructure

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buildouts that are coming up. The scale of all

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of these different deals. that they've done with

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these five hyperscalers. I think they're all

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measured in gigawatts, and I think that shows

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that the hyperscalers are, all of them are ready

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to diversify away from NVIDIA's almost complete

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dominance. So it looks like we're having a real

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second player in the market, and AMD is gonna

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get some serious market share. Does that, you

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know, is that like super bad for NVIDIA? I think

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their market is just gonna keep growing like

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crazy, but there are other competitors now. Anthropic

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is upgrading Claude's voice mode. It's now gonna

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work with their most powerful models, Opus and

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Sonnet. So I think in the past, it was only working

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with Haiku. And I will say one thing that I actually

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did appreciate about this was I've been going

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back and forth between OpenAI and Anthropic as

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far as using like Cloud Cowork and ChatGPT work.

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And I did find that ChatGPT work after they did

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their upgrade and everything's running on Sol

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5 .6 extra high. When I go and ask it to complete

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a project for me and I'm doing the voice mode

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on it, it takes a while for it to kind of transcribe

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and write it all down. And it's actually kind

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of annoying. the the leg it's a few second leg

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and i noticed that it doesn't always happen but

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when you have uh soul 5 .6 extra high on it does

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and so i actually appreciated that um anthropic

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when i was using claude it was like instantaneous

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transcription of what i was doing it was all

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on haiku now is it perfect is it the is it the

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best like there's a couple things that i might

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mess up but it was instantaneous and super fast

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well they're going to upgrade it because evidently

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they think that it needs to be a little bit higher

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quality so now they're putting it on opus and

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sonnet i hope they don't sacrifice too much the

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speed because honestly, that was my favorite

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thing. They're going to be able to they're allowing

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you to plug that directly into Gmail, Google

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Calendar, Slack, Canva, Notion. So you can now

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tell Claude by voice to do your emails. I mean,

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everything else that you've probably been doing.

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I even have like a literal I have this device

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from OpenAI. It's like a little keyboard. It

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is, I think, built with work louder. And it literally

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just has a microphone button that I push. So

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I this is the way I've been working a lot lately

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is just talk. to these models and having them

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go and complete tasks for me instead of typing

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it out. I think that's what a lot of people are

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doing. There's a lot of software like Whisperflow

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that's out right now that does that kind of stuff.

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So a lot of different options, but Claude obviously

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decided they wanted to put a big upgrade here.

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Voice mode is now going to default to whatever

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Claude model you last used in text chat. So a

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Sonnet workflow is automatically going to have

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that for the audio, which is kind of what OpenAI

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is doing right now. And I'm not going to lie.

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That's actually. annoying to me. I wish you could

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choose the audio. Honestly, what I find is when

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it does the transcription and when it types it

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out, I would actually rather a faster, worse

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model because you can like many times I'm literally

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using Apple's like voice to text, which is really

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ghetto, not very good. And when I when I do it,

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there's like a bunch of typos, but Claude understands

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and it literally fixes it and does everything

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the way I want. So I find that Claude is very

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good at getting the meaning out. I'd rather just

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have the underlying model better and having.

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the voice transcription faster because I absolutely

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hate talking and then waiting five seconds for

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it to type out before I can hit send. But I mean,

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that's just me being impatient. So I guess the

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quality improvement is probably good, but I wish

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they would let you choose in the settings what

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model was powering your voice. Free users are

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going to keep getting haiku. So maybe I got to

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go switch to being just a free user. Just kidding.

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And there's going to be paid users that get the

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Opus and Sonnet and all of the rest of it. They

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have a lot of different languages supported on

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this, by the way, English, French, German, Hindi,

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Japanese. korean spanish um and it you know of

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course auto detects it so that's fantastic Google

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Cloud revenue is up 82 % to $24 .8 billion last

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quarter. That absolutely crushed the expectations

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that Wall Street had. I think it's proving that

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the company's huge AI spending is actually paying

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off. The $514 billion backlog of signed customer

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contracts, I think is showing that there is a

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huge demand for AI infrastructure and service

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is real and it's locked in for years. So a lot

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of these deals that Google Cloud's doing, it's

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not just for this year or for this month. month,

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but these are multi -year deals. Cloud growth

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is accelerating really fast. It's up from 63

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% last quarter to 82 % this quarter. It's mostly

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driven by a lot of different companies renting

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compute power and buying pre -built AI products

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from them. Gemini reached 950 million monthly

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active users. That's up from 750 two quarters

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ago. So the usage of their own products is accelerating,

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but also the amount of companies signing deals

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to power their AI on their infrastructure is

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also increasing. seen. And Alphabet posted 112

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.1 billion in quarterly profit. That's almost

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four times the 28 .1 billion from the same quarter

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last year. That is wild. 112 billion. up to 21

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billion just one year later that's absolutely

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insane google's 180 billion to 190 billion dollars

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in annual spending on data centers and chips

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is now um you know it's something that kind of

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crashed their stock a couple weeks ago when it

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came out and everyone was like oh my gosh google's

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overspending but i think this is showing there

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is serious demand the demand is accelerating

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like crazy um they know they're going to get

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that money back and so i think they expect that

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2027 is going to be when this massive build out

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starts turning into some real cash generation.

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But in order to get that money, like they have

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to spend, they got to spend the money to make

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the money, but they can see a lot of demand.

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So evidently they're going all in. OpenAI and

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Anthropic are both lobbying US regulators to

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restrict Chinese openweight AI models like Moonshot's

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Kimi. You know, K3 came out a while ago and it

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was all the rage. And then we have the latest

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Quen model came out a few days ago. What they're

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saying here is that there are national security

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concerns. They, of course, are saying this at

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a time when it would be quite convenient. It

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would push these companies towards, you know,

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being the winners in this space. No one could

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really dethrone them. None of these open source

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models could go scorched earth on them. Opening

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eyes, Dean Ball argued the U .S. should create

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regulatory fear uncertainty and doubt around

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open weight models to weaken their competitive

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position um and then he kind of walked that argument

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back but that was like his first thing we've

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heard this in crypto a lot back in the day the

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fud um that he's you know openly saying that

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they should create some fud and he's like no

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no actually it's serious it's not it's not just

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fud for for fud's sake Kimmy's launch at the

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end of last month, I think a lot of people were

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panicking. There was a viral demo showing it

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generating a macOS -like UI mockup in 30 minutes.

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I think a lot of the hype faded after that. A

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lot of these demos are like, oh my gosh, look

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at this crazy, incredible thing. And then once

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it actually comes out and people actually play

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with it, they're like, okay, it's not as crazy

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as it seems, which is why I'm actually a little

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skeptical. I mean, whatever, you can say I'm

00:11:50.289 --> 00:11:52.409
dumb, but it's why I'm a little skeptical of

00:11:52.409 --> 00:11:55.350
like, uh anthropic always hyping up their models

00:11:55.350 --> 00:11:57.409
to an insane degree only giving them to enterprises

00:11:57.409 --> 00:11:59.490
not to the regular people and saying look it

00:11:59.490 --> 00:12:02.120
can do all these crazy things I don't know, it

00:12:02.120 --> 00:12:03.600
makes me skeptical when they won't give it to

00:12:03.600 --> 00:12:05.820
you, but maybe it's truly dangerous. I don't

00:12:05.820 --> 00:12:08.440
know. This is the second time that we've had

00:12:08.440 --> 00:12:11.799
in the last under a year, basically, where we've

00:12:11.799 --> 00:12:14.220
had this kind of cycle where there's a huge cheaper

00:12:14.220 --> 00:12:16.059
model that comes out and it's super capable.

00:12:16.639 --> 00:12:19.779
DeepSeek had something that kind of was along

00:12:19.779 --> 00:12:21.259
these lines. And then afterwards, there's a bunch

00:12:21.259 --> 00:12:22.899
of policy restrictions that people were calling

00:12:22.899 --> 00:12:25.840
for after it came out. So I think we're seeing

00:12:25.840 --> 00:12:27.639
basically the same pattern play out over and

00:12:27.639 --> 00:12:29.659
over again. Chinese labs are going to ship like

00:12:29.659 --> 00:12:32.090
a super cheap open. model. It's going to be really

00:12:32.090 --> 00:12:33.830
competitive in the benchmarks. A lot of the American

00:12:33.830 --> 00:12:35.710
executives are going to start warning about security

00:12:35.710 --> 00:12:38.570
and regulation and we need to have restrictions.

00:12:39.029 --> 00:12:41.409
And of course, the people that are really winning

00:12:41.409 --> 00:12:44.250
are those big closed model companies, OpenAI,

00:12:44.330 --> 00:12:47.549
Anthropic, etc. So I think whether those security

00:12:47.549 --> 00:12:51.049
concerns are legitimate or not, it doesn't change

00:12:51.049 --> 00:12:54.190
the fact that all of the people asking for these

00:12:54.190 --> 00:12:56.090
policy changes happen to be the people that are

00:12:56.090 --> 00:12:58.509
going to be winning from it. So I am a little

00:12:58.509 --> 00:13:00.750
bit skeptical of it, if I'm being honest. And

00:13:00.750 --> 00:13:02.809
I actually think open weight models are fantastic

00:13:02.809 --> 00:13:05.210
for innovation. And like for my own company,

00:13:05.269 --> 00:13:07.850
being able to use a model that's 90, you know,

00:13:07.850 --> 00:13:12.029
90 % cheaper, 90 times cheaper than an open or

00:13:12.029 --> 00:13:13.710
than a closed source model, if it can do some

00:13:13.710 --> 00:13:15.309
of the same tasks that we needed to get down

00:13:15.309 --> 00:13:17.509
on a repeated basis. To me, that makes a lot

00:13:17.509 --> 00:13:20.039
of sense. But There's a lot to debate on this

00:13:20.039 --> 00:13:21.919
topic for sure. Guys, thank you so much for tuning

00:13:21.919 --> 00:13:23.940
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