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Top AI researchers like Geoffrey Hinton say that large language models likely have an internal world model and aren't just stochastic parrots. Which means they can do more than just repeating strings from the training distribution.

Facilities are a major hurdle for nuclear weapons. For bioweapons they are much less of a problem. The main constraint is competency.



I think you might want to take a look at some of the history here, and particularly the cyclical nature of the AI field for the past 50–60 years. It’s helpful to put what everyone’s saying in context.


They have no way to test that model though.

> The main constraint is competency.

Oh right, anyone can be a chemist, it requires no skill, that why labs aren't a core part of the course work.

Ai researchers are really good at telling other fields their work, that they have no experience in, is easy.


Kevin Esvelt very much has experience. I posted a link to his Wikipedia page.




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