Comment by simonw
5 days ago
Give me a "hard problem" and I'll give you a Codex or Claude Code transcript showing how I'd use them to tackle it.
5 days ago
Give me a "hard problem" and I'll give you a Codex or Claude Code transcript showing how I'd use them to tackle it.
I've got a few. Pick whichever you like.
Factor 135066410865995223349603216278805969938881475605667027524485143851526510604859533833940287150571909441798207282164471551373680419703964191743046496589274256239341020864383202110372958725762358509643110564073501508187510676594629205563685529475213500852879416377328533906109750544334999811150056977236890927563 in less than 24 hours.
Come up with a way to sample from LLMs such that they can tell funny jokes. The jokes should not be recited jokes from elsewhere.
Implement a CUDA kernel that achieves optimal efficiency for PyTorch-like conv2d for "reasonable" shapes/strides/dilations/groups. (This task is the closest to being solved by LLMs, but they usually get stuck somewhere doing stupid things instead of considering more advanced optimization methods and still need a human to push them along).
I should have said "hard, but realistic".
Fair enough. I am optimistic that 2 and 3 will be doable eventually.