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AMD has acquired "AI stuff" for several billions at this point, yet somehow, doing "AI stuff" on their GPU/NPU stack still seems to be troublesome. Well, that is what I read from others anyway. Inference with llama.cpp on AMD GPUs pretty much just works.

Other embodied labs are less gamer-y/consumer-y. WorldLabs didn't know whether to be a consumer tool, a creative tooling company, a robotics research lab.

Investors who have seen their materials told me this was their direct feeling.

If the sigmoid approacheth, the first one to get a good model into silicon, at acceptable benchmarks and silicon rejection %, will make some truckloads. Most people don't need SOTA for most of their problems.

the TAM might be a real number, but the addressee might already be walking around, such as any qwen3.8 model. Qwen3.8-Flash-Next is churning out some fascinating capabilities as we speak.

There's only so many math problems you can solve without ROI.

> Neoclouds want to do neolab things and now chipmakers want to do neolab things

We don't know what the right integrations are. Is it the chipmakers with the toolmakers? The front-end makers with the model designers? That's the current set-up. But there might be another industrial configuration that is superior.

AMD is still struggling to establish itself in AI. That makes it a worthy competitor. Its agglomeration of talent and resources is probably, knowing little else, good.

The past couple of years have really driven home the fact that a company is worth what someone will pay for it

AMD grew their revenue 50% last quarter from the year prior, for 11.5B in revenue. If this team can help continue that or grow that then yes - the amount of money involved here is insane.

Honestly, I think this 'billion' number is also just the ball park for companies you need to pay if you want to buy them.

OpenRouter was sold for 7.5 Billion.

Lets just accept, that these people don't evaluate a company by value but by magic market "what is a sum someone needs to pay for buying a company and what company is somehow worth it to actually buy for this type of money but more in a sense of adding this to your portfolio"

Could be if they are pre-revenue.

A name like Fei-Fei Li is probably worth a chunk of that (I'm not saying I agree, but that's probably the thinking).

It's a public bet, not a valuation based on product economics. Billion dollar bets follow different rules (and I'm not saying it's sane).

I don't know about the training, but in terms of the the 'a lot of data', probably one of the inputs would be something like the geospatial data that Niantic has collected from all of the world's Ingress and Pokemon Go players, correlated with other more basic mapping data and things like google street view type camera data.

https://www.google.com/search?client=firefox-b-d&q=pokemon+g...

Step 1: raise a billion dollars. Step 2: send a billion dollars to someone with GPUs.

I'd bet world models will likely become the new "media" replacing tv, movies, music, video games etc.

it was also likely difficult to do what WL was looking to do without significant amount of compute.

Think it's a good match

The AMD part looks too specific, but I’ll have to check the math.