arxiv.org

Attention Is Not What You Need (2025)

westurner · 114 points · 38 comments · 10小时前 · 打开原文

评论

5 条预览评论 · 正在加载完整讨论
mapontosevenths5小时前

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小时前

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小时前

(2025)

themagyar7小时前

"subconscious" reasoning

chiharukiryu2小时前

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