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2026-10-24 · America/Los_Angeles · 社区动态 · #6

Meta trained small AI models to read raw bytes instead of tokens. They start out worse, but the paper predicts they end up better

https://arxiv.org/pdf/2609.12303 this paper suggests a model that skips models reading tokens that and has the model read raw bytes, basically one letter at a time. what they did: trained small models (~1B params), some on tokens and some on bytes trained them partly by copying a bigger model (llama 3 8b), aka distillation the tricky part is that the teacher thinks in tokens and the student reads bytes, so they had to work out a clean way to translate between the two what they found: with a little training the token models win, not even close with more training the token models kind of…

Meta trained small AI models to read raw bytes instead of tokens. They start out worse, but the paper predicts they end up better

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