arxiv.org

Attention Is Not What You Need (2025)

westurner · 114 points · 38 comments · 10 godzin temu · Open original

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mapontosevenths5 godzin temu

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 godzin temu

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 godzin temu

(2025)

themagyar7 godzin temu

"subconscious" reasoning

chiharukiryu2 godziny temu

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