arxiv.org

Attention Is Not What You Need (2025)

westurner · 114 points · 38 comments · 10 時間前 · Open original

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mapontosevenths5 時間前

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.

charcircuit8 時間前

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)

gnabgib10 時間前

(2025)

themagyar7 時間前

"subconscious" reasoning

chiharukiryu2 時間前

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