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. Samsung is set to post an 18x profit

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jump because of AI memory demand. Mistral AI

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is looking at a $3 .5 billion raise and a $23

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billion valuation. Their revenue has hit over

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$400 million. And Midjourney is asking Disney,

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Universal, and Warner Brothers to disclose their

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own AI use because there's a bunch of lawsuits

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and everyone is accusing Midjourney of using

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copyrighted content. So they're trying to flip

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the tables here. Station F's FAI Accelerator

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is coming back. Their first cohort got $34 million

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in pre -seed funding. And we're going to see

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what's happening next there. Fable 5 has just

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reached the top of the kernel bench mega. That

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is a benchmark. And this is at the same time

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that AI agents are quadrupling, going 4x on real

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freelance work, what they're actually able to

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accomplish. So we're going to talk about some

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of the capabilities of Fable 5, what this new

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benchmark is saying. Currently, Cloud Cowork

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is my absolute favorite. And basically... get

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everything done that you need to with logged

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in sessions is absolutely incredible. Adding

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MCPs is the best thing I've ever been able to

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do for it. The only problem with Clot is that

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it doesn't have image, audio, or video AI capabilities.

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Of course, it's super smart and great at code,

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but I need so many different assets for all of

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my projects that I'm working on, whether I'm

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making websites and I need images inside of them,

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or I'm doing ads and I need video creation for

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all of that. Or if I'm doing things with podcasting,

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I have a lot of AI autonomous podcast projects

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and I need audio. I built an MCP for my startup,

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AIbox .ai, that lets you get all of the audio,

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image, and video right inside of Cloud. So this

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morning, I was talking to Cloud. I needed to

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make a podcast cover for something, and I said,

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go use the AIbox. image generator, use OpenAI

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image 1 .5, but you could say anything, right?

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You could say Gemini 3 .5 Pro, whatever. And

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I said, go and make an image, go make a podcast

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cover. And I explained exactly the prompt that

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I was used for making podcast covers. It just

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used the MCP, connected to AI Box, generated

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the image, gave me a link, and I could go download

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it immediately. This is the biggest unlock for

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Claude. If you want to try out the MCP that I've

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created for Claude, go to AIBox .ai slash Claude.

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I'll leave that in the description. and you get

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access to all of that for like $8 a month. You

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can have all of the image, audio, video inside

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of Claude, call it at any time with AI Box's

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MCP. It's absolutely incredible, super useful,

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and I hope that unlocks Claude for you. Samsung

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is expecting to have profits that are 18 times

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higher than they were a year ago. And of course,

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the biggest reason is AI, but specifically the

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demand has exploded for something called high

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bandwidth memory or HBM. Essentially, you could

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think of this as ultra fast memory, and it's

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stacked into layers and attached directly into

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AI chips. NVIDIA and AMD are both using this.

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So this is like memory that's bolted straight

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onto their processors. And it essentially lets

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AI models process tons of data really fast. It

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gives them that speed. So a couple of years ago,

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the entire memory industry had completely crashed.

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I think 2023 to 2024 prices were falling because

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there was way too much supply. overbuilt. But

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then all of a sudden, we had this perfect moment,

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we're opening up Microsoft, Google, Amazon meta,

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all of them started buying up AI hardware in

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just insane quantities, hundreds of 1000s of

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chips at a time. And so the whole market has

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switched now all of a sudden, instead of this

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big oversupply that we had before, we now have

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a massive undersupply. And so the market is skyrocketing.

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And any of these companies that are building

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this memory are making a ton of money. So Samsung

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was initially behind I think the biggest competitor,

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which is SK Hynix. This is from South Korea.

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And I think I've talked about them on other podcasts

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before, but they are also benefiting from this

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a ton. And so now Samsung is kind of coming right

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behind them. Now they're ramping up production.

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And there's two things in particular. There's

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the HBM4, and that's basically becoming one of

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the biggest drivers of their kind of financial

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boom that they're seeing right now. That one's

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really popular. And the reason why this matters

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is that the HBM is super profitable. It sells

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for way more than any traditional compute memory.

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And only three companies in the world can manufacture

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at scale. So Samsung, SK Hynix, and Micron, which

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I think Micron is out of Idaho. And, you know,

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I've also talked about them. the podcast before

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because they are absolutely blowing up. So there's

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really just three main companies that are making

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this right now. And it's really hard to manufacture

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this at scale. So all of them are growing in

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a crazy amount. Micron is not a company I think

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that was a household name, but it's becoming

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one of the biggest companies in the world because

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of just this huge supply pinch and shortage.

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And so the prices are just going up a ton. Samsung

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is also trying to become less dependent on memory.

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They're going to be expanding into custom AI

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chips. They're also reportedly in discussions

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right now. about building specialized AI processors.

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And they said specifically that they want to

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grow their semiconductor manufacturing business

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as well. So, I mean, right now, obviously, it's

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super exciting for them. They're seeing a ton

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of benefit from all of the memory exploding,

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but they know that this isn't going to last forever,

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probably. So the diversification is a pretty

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smart move. Mistral AI right now is looking to

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raise $3 .5 billion at a $23 billion valuation.

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And that is nearly double its September 2025

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series C price. So they're based in France, if

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you didn't know already. And their recurring

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revenue just hit $400 million in February. That's

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about 20x the $20 million that they had a year

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ago, which is pretty crazy. And I think what's

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interesting about them in particular is we hear

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talk a lot, I think, especially after... Trump

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kind of banned Fable 5 or the Trump administration,

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whatever, I had to get pulled back for a little

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bit before it went out. We had a lot of different

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players, especially in Europe, talking about

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AI sovereignty and AI infrastructure more than

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I think I've seen other places. And I've had,

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you know, some of the big founders from like

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Cohere on the podcast who talks a lot about that

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as well. But I think AI sovereignty is a huge

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deal for countries that are not in the United

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States. And they want to make sure that they're

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putting their investments into companies that

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will help them achieve that. And Mistral is a

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good one because they have open source models.

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So people can run those, you know, locally inside

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their own country with, you know, data centers

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inside their own country and really get that

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quote unquote AI sovereignty that a lot of these

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companies are, our countries are looking for.

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Right now, Mistral says that they're targeting

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$1 billion in annual recurring revenue this year,

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and they're committing $4 billion to build data

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centers in France, Sweden, and they're also launching

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Mistral Compute, which is a European NVIDIA powered

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platform. And they're going to be doing that

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this year, following after what it seems like

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XA. and OpenAI and Google and all of them are

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kind of doing with their compute platforms. They

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have acquired a bunch of infrastructure startups.

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One in particular is called Kyob. They have a

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joint venture with MGX, NVIDIA, and BPI France

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to build an AI campus near Paris. I think they're

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really trying to show, and I think Paris and

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France in general is really trying to show that

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they are kind of the center for AI. They're really

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trying to get on top of all of that. Mistral's

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revenue mix right now I think really skews heavily

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to enterprise and government. It's not consumer

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chat, right? Most people are using ChatGPT or

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Cloud for that. They're copying Palantir's playbook.

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They have a bunch of forward deployed engineers

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that are helping different companies run models

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on their own infrastructure. They have something

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called Forge. And so they're kind of copying

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this forward deployed engineer strategy. Mid

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Journey is asking Disney, Universal, and Warner

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Brothers to disclose their internal AI training

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practices as part of a big copyright lawsuit

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that's happening right now. All of those different

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studios are actually suing Mid Journey in particular.

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And I think they're trying to like flip the tables

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because basically if Mid Journey can prove that

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all of those studios are training on unlicensed

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content too, because all of them have different

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AI programs, then I think they say, look, this

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is just the industry norm. You guys are all doing

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it as well. This isn't just us as a startup and

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they could probably try to get this whole thing.

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thrown out the three studios combined have a

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market cap of about 400 billion dollars they've

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all sued mid journey last year um because i think

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it was mid journey was able to reproduce bart

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simpson and darth vader and they're like look

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if you can produce that then you're obviously

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training on our own you know disney special data

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or whatever universal special data our characters

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bart simpson and darth vader um and so anyways

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this lawsuit's been going on for a while i think

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they're all expected to get a payout but i think

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at this point mid journey is trying to just point

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the finger back at them uh judge previously limited

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the studio disclosure to ai usage that produced

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consumer facing content mid journey wants that

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boundary erased to access all internal ai workflows

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and training data data i've personally seen all

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of those different studios talk about using ai

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for pre -visualization storyboarding and like

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things like vfx iteration but they haven't really

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disclosed what you know, they're training all

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their data in order to create those tools with.

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So I think MidJourney is hoping that they'll

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be able to catch them and basically the same

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training data that everyone's using, which is

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kind of the whole internet and say, look, you

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guys are doing it as well. Okay. A company called

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Station F's FAI Accelerator is launching their

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second cohort this September. They have 20 different

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AI startups from the first batch that all were

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actually able to raise $34 million in pre -seed

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funding. This is a Paris hub and they're positioning

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themselves as kind of Europe's answer to Silicon.

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Valley. And to be honest, I've actually have

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all the countries in Europe, I think London's

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England's doing quite well. And France is doing

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quite well. They have Mistral kind of their big

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breakout AI company, and they're trying to get

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more. So they're trying to build these accelerators

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and these incubators, and really grow some companies

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inside of their country. They're targeting a

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million euros in revenue per startup within six

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months. This is basically they're trying to respond

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to a bunch of investors that are criticizing

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European startups, saying that they're way slower

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than American companies to actually commercialize.

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There's been a lot of incredible European startups.

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I mean, you got lovable, you got lots of amazing,

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you know, Synthesia for video generation, you

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got 11 labs for audio. I mean, you have some

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of the most, you know, some of the most prolific

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AI companies coming out of Europe. And I think

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France is trying to really concentrate them all

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into their country. 80 % of the first cohort

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that came out of this were founders that had

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been entrepreneurs before. About a third of them

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have PhDs. That's something that I would expect

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a lot more out of founders coming out of Europe

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and America. That's probably less common, although

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when it comes to AI researchers, I mean, that's

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usually who's in that kind of cohort of people.

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The second cohort, they're going to add six new

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partners. They're going to have 11 Labs, OpenRouter,

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GitHub, HubSpot that are all joining that. They

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also have Anthropic, AWS, Google, Meta, Microsoft,

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and Mistral AI that are all part of their partnership

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program. I'll be excited to see what AI startups

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come out of this program. Okay, Fable just hit

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a big new milestone. Their new system topped

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the kernel bench mega benchmark. It is able to

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write highly optimized CUDA code that is about

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19 times faster than what their baseline was

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before. It even beat Claude Opus. And basically

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that means that AI is getting a lot better at

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optimizing the software that powers GPUs. At

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the same time, AI agents are becoming way more

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capable at basically every job that can be done

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in the real world on a benchmark that is basically

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like basically what it's doing is measuring paid

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freelance work, things like 3D modeling, architecture,

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animation. It does also a lot of like analysis.

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The success rate jumping from just 2 .5 % to

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16 .1 % in only eight months is really impressive.

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GPT 5 .5 only scored 6 .3%. So Fable is absolutely

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crushing that with 16 .1%. Researchers also tested

00:11:33.039 --> 00:11:36.860
AI on much longer compute tasks to take over.

00:11:36.940 --> 00:11:39.440
an hour to complete. And while today right now

00:11:39.440 --> 00:11:41.220
the models are really struggling with that, they

00:11:41.220 --> 00:11:43.440
are getting a lot better. And while optimizing

00:11:43.440 --> 00:11:45.820
code for GPUs might not be everybody's use case

00:11:45.820 --> 00:11:47.679
for Fable 5, I'm really excited and really impressed.

00:11:47.840 --> 00:11:50.059
I personally used it to do a lot of projects

00:11:50.059 --> 00:11:52.360
that Opus 4 .8 just couldn't do. I have an app

00:11:52.360 --> 00:11:55.220
that I'm building and the widgets on the app,

00:11:55.320 --> 00:11:57.480
I literally was just pulling my hair out for

00:11:57.480 --> 00:12:00.039
two days because Opus 4 .8, I couldn't figure

00:12:00.039 --> 00:12:02.360
out how to make them customizable. And I sent,

00:12:02.519 --> 00:12:05.700
I pointed Fable 5 at them and in two hours, it

00:12:05.700 --> 00:12:07.519
was able to get the whole thing sorted out and

00:12:07.519 --> 00:12:10.919
working correctly. So I think like overall Fable

00:12:10.919 --> 00:12:12.860
5, a lot of people, are like, Oh, it feels just

00:12:12.860 --> 00:12:15.580
like Opus. I think it's much smarter. And maybe

00:12:15.580 --> 00:12:18.700
it's like 15 or 20 % better, but that 15 or 20

00:12:18.700 --> 00:12:21.240
% makes a huge difference. And it's really good,

00:12:21.259 --> 00:12:23.139
especially when it's, you know, just being able

00:12:23.139 --> 00:12:25.419
to get things done much faster, a lot of complex

00:12:25.419 --> 00:12:28.169
tasks. It's great at doing them. Guys, I am so

00:12:28.169 --> 00:12:31.710
close to hitting 200 reviews on the podcast.

00:12:31.830 --> 00:12:34.289
If you haven't left a review yet, it would mean

00:12:34.289 --> 00:12:36.950
the absolute world to me if you could drop a

00:12:36.950 --> 00:12:39.490
review. I read them. They give me the motivation

00:12:39.490 --> 00:12:41.610
to keep going. I appreciate them all. If you

00:12:41.610 --> 00:12:44.269
haven't done it yet, I would be eternally grateful.

00:12:44.529 --> 00:12:47.929
Make sure to go check out AIbox .ai .mcp if you

00:12:47.929 --> 00:12:50.610
want to get access to audio, image, video, all

00:12:50.610 --> 00:12:54.029
inside of Cloud or OpenAI or Cursor or any of

00:12:54.029 --> 00:12:56.269
these other tools that take MCP. Guys, super

00:12:56.269 --> 00:12:57.830
excited. about that go check it out there's a

00:12:57.830 --> 00:12:59.250
link in the description i'll catch you all in

00:12:59.250 --> 00:12:59.830
the next episode