chaeronanaut·작년·discuss> The words that are coming out of the model are generated to optimize for RLHF and closeness to the training data, that's it!This is false, reasoning models are rewarded/punished based on performance at verifiable tasks, not human feedback or next-token prediction.
chaeronanaut·3년 전·discussAn excellent explanation of Magic Bitboards can be found here: https://analog-hors.github.io/site/magic-bitboards/
chaeronanaut·4년 전·discussthis pretty much summarises my opinion - one nitpick - i assume you meant "omit bounds and other checks", not "emit bounds and other checks" which seems to mean the opposite of what you're intending
This is false, reasoning models are rewarded/punished based on performance at verifiable tasks, not human feedback or next-token prediction.