Earlier quoted context omitted.
I'm reminded of the early days of "AI" when that consisted of building chess engines, because chess is what "intelligent" people do. They quickly realized that they were solving the wrong problem, doing the thing that humans are bad at and computers are good at. In a sense language models appear to be doing the same thing again, one step down the scale. They're doing a human-specific thing, but missing whatever it is…
> I'm reminded of the early days of "AI" when that consisted of building chess engines, because chess is what "intelligent" people do. They quickly realized that they were solving the wrong problem, doing the thing that humans are bad at and computers are good at. Is this really true? Because a lot of effort was spent on making computers as good at chess as human experts. It was considered a pretty big breakthrough w…
It came rather out of nowhere when neural-net-type engines suddenly swept back into dominance. Even after becoming the world chess champion, nobody expected Go to be solved any time soon.