I think the concept of "AGI-complete" was interesting but had been falsified. LLMs have jagged intelligence, meaning that they are good at some things while being counterintuitively bad at other things that seem much easier. Especially given that a lot of software engineering can be trained via RL, it's entirely plausible that they will get extremely good at that while lagging in other things.

Oh yeah? Who will be working on rounding out the jaggedness of the LLMs and improving the generalizability of their RL environs, etc.?

If that doesn’t happen then open models catch up in months.