I know someone who just spent 10 days of GPU time on a RTX 3060 to build a DSLM [0] which outperforms existing, VC backed (including from Sam himself), frontier model wrappers that runs on sub 500 dollar consumer hardware which provides 100% accurate work product, which those frontier model wrappers cannot do. The fact that a two man team in a backwater flyover town speaks to how out of the badly out of the bag the tech is. Where the money is going to be isn't based off of building the biggest models possible with all of the data, its going to be about building models which specifically solve problems and can run affordably within enterprise environments by building to proprietary data since thats the differentiator for most businesses. Anthropic/OAI just do not have the business model to support this mode of model development to customers who will reliably pay.

[0] https://www.gartner.com/en/articles/domain-specific-language...

The problem is the cat is already out of the bag on the technology. Anyone can go over to Huggingface, follow a cookbook [0], and build their own models from the ground up. He cannot prevent that from taking place or other organizations releasing full open weight/open training data models as well, on permissive licenses, which give individuals access to be able to modify those models as they see fit. Sam wishes he had control over that but he doesn't nor will he ever.

[0] https://huggingface.co/docs/transformers/index

>Nobody actually gives a shit, about anything.

That's the case until there is the threat of discovery. The real issue is if the PE firm bought the company for the value of the IP and any damages awarded was included in the 'cost of business', which is why liability needs to be extended to those persons who make that decision, not just the corporate entity.