Is the widespread false belief that LLMs are AGI-complete going to kill us all?
(Prompted by this post by @Steven Byrnes, with which I basically agree.)
Suppose we live in a world in which LLMs don't scale to AGI.[1] If so, I think it's fairly plausible that LLM-alignment-optimists are correct (on the narrow question of LLM alignment). That is: all the technical arguments and empirical evidence in favor of LLMs being relatively easy to align/control, even in the limit of LLM capabilities, are valid, and the doomsaying about LLMs is wrong.
After all, most of the strongest arguments for AGI doom route through arguments about AGIs/generally intelligent agents. If LLMs are not those, keeping them under control needn't be hard! The orthodox AI doomsaying and the LLM optimism can both be true.
But if we do live in such a world, we have a very annoying comms problem. Consider:
* The reasoning of capabilities people usually goes, "LLMs are AGI-complete" (invalid) and "LLMs are pretty easy to align" (valid), which leads them to conclude "AGI is pretty easy to align" (invalid).
* Meanwhile, AI Safety advocates also start from "LLMs are AGI-complete" (invalid) but "AGI is not easy to align" (valid), and so end up at "LLMs are not easy to align" (invalid).
Which then leads to AI Safety advocates trying to argue AI Risk to capabilities people by trying to find arguments and demos in favor of "LLMs are not easy to align".
Which... is maybe possibly completely incorrect? Meaning they're deploying false arguments that ought to be, and will continually be, mercilessly destroyed by the empirical truth? Oops.
This makes the "LLMs are AGI-complete" meme a double-edged sword. On one hand, it leads to most of the AI industry getting distracted by LLMs, which means they're spending tons of effort not actually doing anything dangerous. Awesome (or is it?). On the other hand, this sure poisons/confuses the communications, and makes the AI industry falsely convinced of "AGI is easy