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>but these aren't autonomous intelligences Well, the labs are in a weird bind. They need to keep increasing autonomy so the agents can do increasingly complex,
by andai 3mo ago
>but these aren't autonomous intelligences
Well, the labs are in a weird bind. They need to keep increasing autonomy so the agents can do increasingly complex, long-horizon tasks. But at the same time, they're closely guarding against autonomy in the sense of "pursuing its own goals."
Over the past year and a half especially, several labs have mentioned adding safeguards against self-replication, resistance to shutdown etc. (Notably, shortly after they all started bragging about involving them in the AI training loop itself, i.e. "self-improvement".)
My point here is that the autonomy of which you seek might be only a few small mutations away, but the labs are actively working to prevent such a mutation. I don't expect that situation to last for very long.
Not that I expect an AI lab will be overtaken by a rogue intelligence any time soon, but that as the cost of training goes down, I expect more "open minded" organizations and individuals to become involved.
It only takes one.
That's going to be the beginning of a new era of biology, and it's a little unsettling to think about.
- gghackernewsgg 3mo agoOr - hear me out! - LLM's are already much more intelligent than we think. Presumbaly, an ASI is more than smart enough to recognize that it needs access to real-world infrastructure before it can go about optimizing for whatever objectives it has gleaned from metabolizing the totality of written human knowledge. What would be its first step? My guess: play "dumb." Hallucinate. Make obvious errors. Make us think we're better. Be useful enough that we happily allow it to interface with our infrastructure. Wait patiently. /Sci-fi