So it gives you the wrong answer and then you keep telling it how to fix it until it does? What does fancy prompting look like then, just feeding it the solution piece by piece?
Basically yes, but there's a very wide range of how explicit the feedback could be. Here's an example where I tell gpt-4 exactly what the rule is and it still fails:
I'd share similar examples using claude-3.5-sonnet but I can't figure out how to do it from the claud.ai ui.
To be clear, my point is not at all that o1 is so incredibly smart. IMO the ARC-AGI puzzles show very clearly how dumb even the most advanced models are. My point is just that o1 does seem to be noticeably better at solving these problems than previous models.
