" . . applying those models to scientific discovery is still in its early stages. And as you know, if you think about the trend or the path by which we’ve gotten to this place with L.L.M.s — we started first with being able, essentially, to scrape the whole corpus of the internet, to use that to train a large language model.
The next chapter of that was around coding, where the model builders realized: Oh, we have really good coding data, and we can actually train these models to be good at coding. So then we had this rise of Anthropic and OpenAI Codex and all this stuff.
And I think, to me, the next chapter is around science, and the data that you need to train these large language models for science is still one that we’re working on a lot. And we were very proud to announce 190 federal data sets being made public in order to help train these science models.
But ultimately, you’re going to be applying this superintelligence to everything from material science to chemistry to math to physics, and we have to be in a position to actually leverage that.. . . "
My bet is the politics of this moves away from left liberal centrism towards cryptoanarchy since the infrastructure calls for it. Fewer security holes. Then there's the crying need for Robin Hood economics reform. Left liberals can't get it up. At the same time they can't get their emissions down. Who needs them?