Something weird is happening with LLMs and chess

Maybe I'm really stupid... but perhaps if we want really intelligent models we need to stop tokenizing at all? We're literally limiting what a model can see and how it percieves the world by limiting the structure of the information streams that come into the model from the very beginning.

I know working with raw bits or bytes is slower, but it should be relatively cheap and easy to at least falsify this hypothesis that many huge issues might be due to tokenization problems but... yeah.

Surprised I don't see more research into radicaly different tokenization.

A byte is itself sort of a token. So is a bit. It makes more sense to use more tokenizers in parallel than it does to try and invent an entirely new way of seeing the world.

Anyway humans have to tokenize, too. We don't perceive the world as a continuous blob either.