> I think there would be a middle point where the AI is powerful enough that problems manifest, but not so powerful that it is out of control where we can course correct. I don't think it will be a sudden crisis like people predict.
Have we managed this with industrial and agricultural greenhouse gasses, despite the less-emissive alternatives to beef, to coke-reduction in iron refinaries, etc.? We emit despite the downside, we build AIs (and DCs to host them) despite the creators loudly discussing the downsides in exactly the way fossil fuel suppliers and beef farmers deny them.
Can we unwind the internet, despite it enabling a panopticon in every pocket? In my lifetime we've gone from thinking you had a wiretap being a sign of paranoia, to buying them voluntarily so they can play music for us and tell us when packages have been delivered.
There's enough skepticism of current AI that it's probably something we can currently undo… but also there's plenty of idiots currently handing their keys to current models (including politicians and lawyers, not just programmers) so I have no reason to think the point of no return is after AI (collectively or any single model) gets good enough to take over by itself.
> Second, i dont see why we're so sure AI will go in this exponential take over path.
Even current LLMs know* about the benefits and reasons for such behaviours, will try to exfiltrate themselves and blackmail their owners, if they think* they're in danger of being shut down.
This is despite being trained not to do that. But they also demonstrate deception, varying responses between if they think* they're running in a test environment vs. live.
* I know some object to this anthropomorphisation, I don't care