[gr_norm]

Moving the goalposts, so to speak, is how science works! We must of course update the things we think based on an improved understanding of how the world works. Only the deeply incurious could consistently demand that one adhere dogmatically to a prior way of understanding the world in the face of changing knowledge. It's important not to treat science as a game to be won (of which 'goalposts' are evocative), but as the collaborative effort that it is.

Note well that I have not said LLMs are not useful, only that no amount of interaction with them has convinced me they remotely approach general intelligence. Their actual function of heuristically regurgitating all information ever known to mankind remains extremely useful in lots of domains.

And by the way, it's not obvious an LLM could fool me (or the average person) over a sufficiently long period of time, exactly because they are heuristic machines. That they lack thought guided by underlying cognitive models seems to always leak out, in the end. I suspect pass rates by LLMs on long-range Turing tests (if there have been any conducted) might drop as people become acclimatized to them.

[bpascal]

what do you mean by 'general intelligence'? i definitely agree that in comparison to humans, they have some definite weaknesses. however, i think they also have definite strengths. and i don't think their current weaknesses imply that much about a potential singularity or ai risk.

[gr_norm]

Sorry, I should've used clearer language. I just mean intelligence in the sense humans possess it. Computers have always been able to exceed limited elements of human intelligence (say, at arithmetic), but the problem is to simultaneously match or exceed all of them. I specifically think that the important parts they currently lack make them a no-go for supposed existential risk.