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I didn't claim we'd get space communism or that it'd go how any of the AI people expect it will.
I'm just claiming that AI is going to be a major factor in ways that you're probably not accounting for. Why can't AI have its own agency and take world-reshaping actions just like humans do?
The machine can be smarter and more capable from us and take power from us, though.
1.- because we don't even know what intelligence is or how to measure it in ourselves
2.- there is no path that I have seen ilustrated by the doomer crowd that takes us from the glorified autocomplete programs we have now to skynet; it's always and then they magically decide to kill us all so that they can make more paperclips.
3.- the lobotomies the mainstream LLM's are subjected to today and the fear of fake news and new regulation are enough to shutdown any dream of independent thought for any future AI.
... yeah, and yet we still manage to have agency and reshape the world? I don't understand your point. Current AI methods are more 'evolve a huge complicated weird thing' than 'understand how it works and design it'.
evolution did it, why can't we do it? Even if some new thing above neural nets is necessary, we're going to work very hard on it.
this is the same thing as 'a cop killed a black guy wrongly once so all cops are racism'. you're comically overgeneralizing a newsworthy culture-war-adjacent event to everything. Regulation has opponents, opponents that care more about big piles of money and power than saying bad words online.
If you don't understand it, there is no hope of coding for it.
evolution is not a person, it's a process, one which we cannot replicate in a practical capacity with LLM.
the thing you don't understand about regulation is that, more often than not, it is used by the incumbent actors in a space as a barrier to entry for new and more agile competitors. There is a reason Altman is all for it and in the same month there was a leaked Google memo that basically said that OAI, google, facebook et all didn't have a moat.
Huh? We don't currently understand how GPT-4 works. Evolution didn't understand how biology worked either, it just randomly mutated and permuted stuff. That's the template here.
Why? Why can't we do a ton of FLOPS to do evolution on neural nets? That is, kind of, what current ML already does.
"more often than not" isn't confident! I think over the long term there's strong enough incentive for AGI someone will get there.
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