That said, GPT has no model of the world. It has no concept of how true the text it is generating is. Its going to be hard for me to think of that as AGI.
and I'm not so sure it has no model of the world. a textual model, sure, but considering it can recognize what svgs are pictures of from the coordinates alone, that's not much of a limitation maybe.
competing with them at what, precisely?
If an LLM can solve Codeforces problems as well as a strong competitor—-in my hypothetical future LLM—-what else can it not do as well as competent humans (aside from physical tasks)?
I don't think this is necessarily true. Here is an example where researchers trained a transformer to generate legal sequences of moves in the board game Othello. Then they demonstrated that the internal state of the model did, in fact, have a representation of the board.
The only explanation I can imagine for that is that it can't understand diagrams.
The Revenge of the Call Centre
We're still a very very long way from machines being more generally capable and efficient than biological systems, so even an oppressive AI will want to keep us around as a partner for tasks that aren't well suited to machines. Since people work better and are less destructive when they aren't angry and oppressed, the machine will almost certainly be smart enough to veil its oppression, and not squeeze too hard. Ironically, an "oppressive" AI might actually treat people better than Republican politicians.
Language models that utilise beam search can calculate integrals ('Deep learning for symbolic mathematics', Lample, Charton, 2019, https://openreview.net/forum?id=S1eZYeHFDS), but without it it doesn't work.
However, beam search makes bad language models. I got linked this paper ('Locally typical sampling' https://arxiv.org/pdf/2202.00666.pdf) when I asked some people why beam search only works for the kind of stuff above. I haven't fully digested it though.
I think we will probably get (non-physical) AGI when the models can solve these as well. The implications of AGI might be much bigger than the loss of knowledge worker jobs.
Remember what happened to the chimps when a smarter-than-chimpanzee species multiplied and dominated the world.