512 karma · joined November 26, 2022
Important to note, LLMs are still black boxes even if you use a more open source model, I.e open training data or even if you train it yourself!
Also as a furry I dunno if I would say the community has a culture for looking out for each other.
wow. Nothing else to say about this. This is pretty evil.
Because they are? You haven't explained at all your belief that they are the same.
> This is just completely wrong. Don't mistake the path by which something happened (or appeared to an outsider to have happened) for a fundamental truth.
So it's completely wrong but it's only what has happened so far? You're repeating yourself but you're not listening to my responding to your exact points. I literally responded to your claim that "would you have us destroy all chip fabs and ban all biomedical research?" In the last post.
Yes, that's my point, that's why the metaphor is wrong
If you believe that bad things are not bad then there's nothing left to say. A billion people are going to die because you don't understand what is bad.
That's an enormous presumption! You're saying that even in the theoretical case that frontier research is halted but efficiency isn't, we could do better then the frontier and reach world-changing AI in 30b parameters at home-scale labs?! If that's true then we can just give up now: the world as you know it is going to end in around a decade and billions are going to die, there's nothing we can do. But I don't think that's true. Advancing the frontier seems to take a massive amount of compute, data, and parameters: miniaturization only happens afterwards.
If you're right then I concede. It doesn't matter what we do, regulations or not. But if I'm right then regulation can do something and in theory help bring a better future.
Isn't that true of AI as well? Data centers are very big and very expensive.
> Bit of a tangent but we do, actually
Sure but not like the movies, these don't destroy cities. But the metaphor isn't accurate anyway: nukes don't get worse. The actual idea here is preventing the frontier of AI from advancing.
Saying this post- millennium prize problem solving is laughable.