We're choosing to call LLMs (and the little "harness" programs that query them in loops and execute their output) "AI", even though it doesn't make much sense. These aren't autonomous intelligences. They're little programs executing Bash scripts from JSON output.Our ideas about AI were naive. We thought passing the Turing test would require human-like intelligence. It turned out to be easy with fairly basic statistical text generation, because fooling humans is easy.It would've been nice to reserve "AI" for superior human-like intelligence capable of genuine common sense and reasoning. The irony is that the startup founders most worried about "AI" have created so much hype and funding that we may very well figure out how to build "real" AI.
https://archive.is/6Nbuf
I think the biggest pushback this article will get here is the date.Although all he's saying is basically, "It's a tool, not a silver bullet". But the article is 3 years old and people will note that the models have been updated since then.
https://archive.ph/6Nbuf
> “Over time, though, more people might be included, as intermediate rights organizations—unions, guilds, professional groups, and so on—start to play a role.”Chassez le collectiviste, il revient au galop.akaOnce a collectivist, always a collectivist.