arxiv.org

Attention Is Not What You Need (2025)

westurner · 114 points · 38 comments · 10시간 전 · Open original

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mapontosevenths5시간 전

The author describes the model's pairing operation as: (zt,zt+Delta) where Delta is a positive offset. This means the model is using the next token to predict the next token. It should have been (zt,zt-Delta), or it's cheating. I don't know if that's just the paper, or if the code was also b0rk3d.

charcircuit8시간 전

Scale is all you need. That's why you see other attention free large language models work. But in a world with constraints on time and compute the architecture does matter because scaling does have a cost (which is dropping)

gnabgib10시간 전

(2025)

themagyar7시간 전

"subconscious" reasoning

chiharukiryu2시간 전

lmao seems just computing power arms race >>> specific algorithm