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. Insiders say that Anthropic is eyeing

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a $2 trillion valuation for their IPO, the biggest

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ever recorded. Nvidia is going to backstop $500

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billion in AI data centers, which will be guaranteed

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by GPU resale values. Shield font is going to.

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poison AI scrapers by swapping words inside of

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the text that humans can't see but the AI models

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will. Lovable has raised $400 million at a $13

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.3 billion valuation. Their annual recurring

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revenue has tripled. Thrive Holdings has raised

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$2 billion at a $12 billion valuation. They're

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going to be essentially buying companies and

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injecting open AI inside of them. AI models are

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flagging fatty liver disease early as conditions

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are hitting about 30 % of adults worldwide. If

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you've ever been working with Claude and needed

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to generate images, audio, or video and been

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frustrated that it can't, I'd love for you to

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check out the AI Box MCP. Basically, it's a connector

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that connects over 80 different AI models, all

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the top... AI models you're used to using, undoubtedly

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a bunch of them you already subscribe to, and

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pulls them all inside of Cloud. So when I'm using

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Cloud and I'm trying to generate new images for

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Facebook ads, for example, I just say use the

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AI box MCP to generate an image of, and I just

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put in the normal image prompt I would use anywhere.

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You can even create scheduled tasks inside of

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Cloud that draw on the abilities of the AI box

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MCP, and it can automatically pull an image,

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audio, and video. It feels magical if I'm being

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honest, because in Cloud, which I'm not used

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to... seen images generated, I'm seeing images

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that are pulled straight into the chat or the

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side panel, and you can visually see them all

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there. So if you want to give it a try, it is

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linked in the description, the AI box MCP, it

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is AI box .ai slash MCP. Before we get into a

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couple of the stories, I wanted to talk about

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a few other headlines today. There's just so

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much news that I didn't want to build, you know,

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an hour long podcast episode. But I wanted to

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give you guys a couple updates. One is that Uber

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and Pony AI, they're going to deploy about 2000

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robo taxis inside of Europe, just really wild.

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Google is going to make the visible watermarks

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on their AI images, video and audio optional.

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Thank freaking goodness. I have been complaining.

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And in fact, I had Logan Kilpatrick on a podcast

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a few months ago. And I asked him about that.

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I'm like, man, when is Google going to get rid

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of if you've ever used like nano banana, there

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is a watermark on the images inside of nano banana.

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It's super annoying because you can't really

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use them for anything without trying to crop

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them out or using another AI tool to go and remove

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that like chat GPT. So it just was it felt very

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not super. usable without cropping stuff. So

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happy that that's going to be a possibility.

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Databricks has just raised $5 billion at $190

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billion valuation. And finally, Cognition is

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in talks to raise $40 billion valuation just

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months after their $26 billion valuation round.

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Okay, let's talk about what's going on with Thrive

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Holdings because this is a really interesting

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company. And I think the strategy is something

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we might see with more PE moving forward in the

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future. So Thrive Holdings is a company that

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by traditional service businesses, and then it

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rebuilds them around AI. They just raised $2

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billion at a $12 billion valuation. They raised

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the money from SoftBank and a bunch of other

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investors, but they now own over 70 different

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accounting and IT companies, and they're opening

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a third division, which is focused on infrastructure

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permitting and compliance work. Current tax AI

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processed over 7 ,000 tax returns, and it did

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it with a 98 % accuracy, and it cut tax prep

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time by more than 30 % at the different firms

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that were using it. Shield AI's tools sped up

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IT help desk resolutions by 36x and it doubled

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custom AI agent deployments in the last month.

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And OpenAI took an ownership stake in December

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of 2025, and they embed staff directly into portfolio

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companies to help accelerate the AI rollout.

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So I think this is interesting because they're,

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you know, they're working with IT companies,

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they're working with tax companies. I mean, something

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like a 98 % accuracy is obviously impressive.

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So you can see. There's a lot of value there.

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But it's also interesting to me that OpenAI took

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a literal ownership stake in this and they're

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embedding their own staff to try to make this

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work. So it's beyond just OpenAI saying, hey,

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look, we're gonna make AI that works great for

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AI or for tax companies. By taking an ownership

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stake, like they're becoming a tax company, which

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is really fascinating to me. Thrive in particular,

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this company is betting that the real bottleneck

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for AI in business isn't just the technology,

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it's actually getting it implemented. And we've

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- seen a bunch of these AI implementation companies

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isn't the only one that opening eyes working

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with and anthropics also working with some it's

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usually they'll kind of go with some big investment

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firms and create these but by owning entire service

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firms rather than just selling the software to

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them they're capturing the full benefit of the

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productivity gains that AI can roll out and I

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mean this isn't anything super revolutionary

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if you think about it private equity firms oftentimes

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will go buy a company or a bunch of companies

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in the same space and then they'll consolidate

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some of the back office, they'll they'll be able

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to cut a bunch of staff because of this, and

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they'll make the companies more profitable because

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of it. So this is just a new element to it where

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we're using AI to do that. But it's it's really

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the same playbook that they've been doing for

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a very long time. Lovable, which is based in

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Sweden, is a platform. If you haven't heard it

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already, it turns... I've talked about it a ton

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on the show, so I would assume you have. It's

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not a company I'm actively using right now. But

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basically, if you want to build a web app or

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some sort of website or tool, it's a really easy

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way to get started with that. Today, I would

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just say go use Cloud Cowork or ChatGPT Work

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because they can do a lot of the same stuff.

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But Lovable just raised $400 million at a $13

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.3 billion value. Their ARR has about tripled.

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So their user base is massive. Projects built

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on lovable right now jumped from about 25 million

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to 60 million in eight months and monthly visits

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to those apps. quadrupled to about 900 million.

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So not, not, you know, just visits exclusively

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to lovable, but the apps that are built on lovable

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are generating about 900 million visits, which

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is absolutely wild. So their annual revenue,

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like I mentioned, tripled, and that's just over

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eight months. So I mean, this is a company that

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is growing incredibly fast. lovable didn't say

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exactly what their annual revenue number was,

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but they're like, look, it tripled. So I'm not

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going to put as much stock in that until I know

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the actual number. Menlo ventures led this particular

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round. They also led the previous one so i think

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that they're very bullish on the company on the

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metrics and they think that it's got some strong

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growth numbers even if they're not telling them

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all to us Lovable in particular now handles security

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checks. They prompt users towards making safer

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decisions. So if you're non -technical, which

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is basically everyone using Lovable, you can

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ship stuff really fast and you're not really

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worried about the security angle. And when I

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was using Lovable, because honestly, Lovable

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to me was a gateway drug into vibe coding. I'm

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not, I wouldn't have considered myself a technical

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founder. And Lovable is how I got started building

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apps by myself and kind of coding stuff. It does

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like your backend. It does like your login. with

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Google, it does, you know, links to your Stripe

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payment. So it does a lot of this stuff for you.

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And it makes it pretty simple. I'll say if you're

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willing to invest like one or two days, you can

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get off of lovable completely and just build

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it from scratch with with something like Claude

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coworker, Claude, or chat GPT work. And using

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that all you need to do is set up a Vercel account,

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a GitHub account, and you need to make a super

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base account. So if you make accounts on those

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three websites, you can get chat GPT work or

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Claude co work to go get an API or an MCP link

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them into into their tools, and they can just

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build everything and work on everything for you.

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So if you if you want to spend a couple days,

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that's how I would do it. Otherwise, you can

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go to level my only downside with lovable if

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I'm being honest, which obviously they're they're

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making an insane amount of money is it was pretty

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expensive. And so I was just doing so much. And

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what you got to appreciate is that Claude and

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and ChatGPT both have like $20, $100, and $200

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tiers. And all of those tiers, the tokens are

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subsidized, especially if you're doing like a

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$200 a month tier. You can get a ton of building,

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a ton of coding done, and you get like thousands

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of dollars worth of coding for $200. If you're

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using lovable, it's all API based. And so you're

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going to have to pay the thousands of dollars,

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which I was when I was using lovable. And I was,

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you know, once, once I think I spent $2 ,000

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in a month on credits, I was like, okay, I need

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to figure out a cheaper way to do this. And that's

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when I moved to Claude. But you can build a really

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impressive and really cool stuff there. NVIDIA

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is backing a $500 billion data center financing

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deal with Apollo, BlackRock, Blackstone, Brookfield,

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Goldman Sachs, and KKR. And they are guaranteed

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to cover 25 % of any losses if the GPUs use,

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and they're using the GPUs as collateral for

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any sort of loss in value. So that basically

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is letting those six different companies fund

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massive AI infrastructure build outs. And NVIDIA

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is going to gain a channel to sell billions.

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in GPU sales. They're not going to use their

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own cash for it. They're just kind of like a

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backstop on it. But they're going to make a ton

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of money from this. This is really interesting

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because NVIDIA has committed about $750 billion

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in these type of deals just this summer. They

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have deals with OpenAI, Anthropic, CoreWeave,

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and a bunch of other AI companies. Bloomberg

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was kind of reporting on this earlier. But the

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guarantee basically creates a quote unquote wrong

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way risk. So NVIDIA's obligation to pay grows

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biggest exactly when GPU demand might get weak

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and NVIDIA's own revenue would slow. So that's

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kind of a dangerous moment, right? They're like,

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hey, look, like if for some reason everything

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crashes, like we'll backstop you. But like if

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everything's crashing and no one's buying the

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GPUs, NVIDIA, like their ability to backstop

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them is going to be. Definitely strange. So it's

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a tricky moment. The CEO of Microsoft, Satya

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Nadella, recently recommended a book about railroad

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era financial engineering that ended in collapse.

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And so, you know, potentially there's other people

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that are kind of looking at this and saying,

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hey, maybe this is kind of like what happened

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to the railroad as far as infrastructure spending

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goes and saying that there are some dangerous

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things happening. But in any case, if NVIDIA's...

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residual value guarantee works, it could create

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a kind of a really liquid secondhand market for

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older GPU chips. And that would let startups

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and smaller companies buy some of the older generations

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of hardware, it would be a lot cheaper instead

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of just always having to buy the newest stuff.

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But that also assumes that GPU demand is going

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to be really strong, right. And so I think Nvidia

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is trying to like ensure it's strong by backstopping

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these big firms to go build out all the new stuff.

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And then the old stuff is still gonna be valuable

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to other people. But you know, NVIDIA's liability

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is going to be massive in in the case of anything

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going wrong. Okay, this is an interesting story.

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It's called shield font. And basically what it

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does is it poisons AI scrapers by swapping out

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different words. So in the HTML, when a scraper

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is going and scraping your website or your blog,

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it's going to show random words, mixed. in there

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into a human you want to be able to see it but

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in the html it's going to mess it all up and

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so human readers go to your site they get everything

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they want but if an ai model is trying to scrape

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it it's going to get really jumbled up text and

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it's going to mess up their llms for you know

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producing high quality content. So they actually

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tested it against six major AI scraping pipelines

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and over 90 % of pages that were using shield

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font were rejected by the scrapers quality filters.

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So basically it's going to be, um, it's a technical

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defense against AI models coming and trying to

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train on your, on your data without being authorized

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to do it. I love this concept if I'm being honest.

00:12:03.919 --> 00:12:06.120
And of course I'm very bullish on AI and I think

00:12:06.120 --> 00:12:08.360
like, you know, accelerate AI and I'm like very

00:12:08.360 --> 00:12:10.419
pro that. But at the same time, I think these

00:12:10.419 --> 00:12:13.090
AI models need to compensate people and people

00:12:13.090 --> 00:12:15.730
take measures to ensure that that happens i'm

00:12:15.730 --> 00:12:18.649
thrilled by it one thing that i've done is with

00:12:18.649 --> 00:12:21.190
even like this podcast i've licensed my podcast

00:12:21.190 --> 00:12:25.169
audio to different ai models that train um They

00:12:25.169 --> 00:12:27.789
train models on, you know, just how people talk.

00:12:27.929 --> 00:12:29.389
So it's general purpose. I'm not like cloning

00:12:29.389 --> 00:12:31.870
my voice or anything. And it's been an awesome

00:12:31.870 --> 00:12:33.629
revenue source for me. It's kind of random, but

00:12:33.629 --> 00:12:35.870
it actually makes a ton of money. And I've seen

00:12:35.870 --> 00:12:37.490
a lot of other people doing this with audio,

00:12:37.629 --> 00:12:40.830
with video, with music. And by the way, if you're

00:12:40.830 --> 00:12:42.590
interested in doing that and you have some sort

00:12:42.590 --> 00:12:47.149
of data set, go to my website, fiund .com. I'll

00:12:47.149 --> 00:12:49.490
leave a link in the description. It's fiund .com

00:12:49.490 --> 00:12:52.450
where I will give you, I'll let you know what

00:12:52.450 --> 00:12:54.659
your podcast or your YouTube. YouTube channel

00:12:54.659 --> 00:12:57.759
or whatever your data set might be worth, if

00:12:57.759 --> 00:13:00.159
you're interested in that. But yeah, so I love

00:13:00.159 --> 00:13:01.919
this. And I think this is a great way to help

00:13:01.919 --> 00:13:04.559
people get paid and kind of fight back against

00:13:04.559 --> 00:13:08.000
scraping that isn't authorized per se. I mean,

00:13:08.000 --> 00:13:09.620
if people want to opt into it, fantastic. If

00:13:09.620 --> 00:13:10.740
you want to opt out of it, I think there should

00:13:10.740 --> 00:13:12.539
be a way to opt out of it. And sometimes even

00:13:12.539 --> 00:13:14.299
when you have like a do not scrape, they still

00:13:14.299 --> 00:13:16.539
go scrape you. So I think this is this is the

00:13:16.539 --> 00:13:18.720
next best thing and they, you know, they get

00:13:18.720 --> 00:13:21.509
what they pay for. AI models that are trained

00:13:21.509 --> 00:13:24.750
on routine blood tests and chest x -rays can

00:13:24.750 --> 00:13:27.570
now spot fatty liver disease early. So this is

00:13:27.570 --> 00:13:30.629
a condition that affects about 30 % of adults

00:13:30.629 --> 00:13:33.830
worldwide. And if you can catch it early, it

00:13:33.830 --> 00:13:36.830
helps because liver damage is reversible if you

00:13:36.830 --> 00:13:38.509
have like treatment or some lifestyle changes.

00:13:38.649 --> 00:13:41.570
But yeah, three quarters of patients only get

00:13:41.570 --> 00:13:44.870
diagnosed when it is already life threatening.

00:13:45.009 --> 00:13:48.620
So there was an OSCA. Metropolitan University

00:13:48.620 --> 00:13:50.980
model that identified fatty liver diseases from

00:13:50.980 --> 00:13:54.139
chest x -rays. It had an 82 % accuracy, so it's

00:13:54.139 --> 00:13:58.139
able to spot spotting the liver fat in really

00:13:58.139 --> 00:14:01.460
small slices of organs that are visible on like

00:14:01.460 --> 00:14:05.019
routine scans. And Evito's LiverPro algorithm,

00:14:05.299 --> 00:14:09.059
which was built from age and nine blood biomarkers,

00:14:09.120 --> 00:14:13.960
outperformed the standard FIB4 test across 470

00:14:13.960 --> 00:14:16.519
,000 middle -aged patients, and it's now being

00:14:16.519 --> 00:14:19.639
commercialized. by Roche. So I love that because

00:14:19.639 --> 00:14:22.580
we kind of had the standard test, and they came

00:14:22.580 --> 00:14:24.480
up with a new algorithm and it and it beats it.

00:14:24.539 --> 00:14:26.580
And so that's what's actually going to be commercialized

00:14:26.580 --> 00:14:28.940
and rolled out for everyone. The liver actually

00:14:28.940 --> 00:14:32.000
can regenerate and it can also reverse fibrosis

00:14:32.000 --> 00:14:34.179
if you catch it early. So if you know this kind

00:14:34.179 --> 00:14:37.299
of treatment is lifestyle stuff, I think we know

00:14:37.299 --> 00:14:38.779
the things that aren't good for our liver, but

00:14:38.779 --> 00:14:40.419
your doctor can definitely tell you more about

00:14:40.419 --> 00:14:43.519
what what's entitled there. But yeah, I think

00:14:43.519 --> 00:14:45.100
this is phenomenal. And this is something that

00:14:45.100 --> 00:14:48.100
is really exciting to me. I love it anytime that

00:14:48.100 --> 00:14:50.539
AI can help with healthcare can help cure diseases

00:14:50.539 --> 00:14:52.860
can help solve diseases. And so this is something

00:14:52.860 --> 00:14:54.700
that I'm really excited about. Guys, thanks so

00:14:54.700 --> 00:14:56.480
much for tuning into the podcast. If you enjoyed

00:14:56.480 --> 00:14:59.059
it, and you want to get access to over 80 different

00:14:59.059 --> 00:15:02.019
AI models inside of clot or anywhere else, go

00:15:02.019 --> 00:15:05.580
check out AI box .ai. And I hope to see you all

00:15:05.580 --> 00:15:06.399
on the next episode.
