4 ms·

I think any kind of innovation here will have to take advantage of some structure inherent to the problem, like eliminating attention in favour of geometric str

I think any kind of innovation here will have to take advantage of some structure inherent to the problem, like eliminating attention in favour of geometric structures like Grassman flows [1]. [1] Attention Is Not What You Need, https://arxiv.org/abs/2512.19428 https://arxiv.org/abs/2512.19428

findalex 9mo ago
Right - e.g., if you're modeling a physical system it makes sense to bake in some physics - like symmetry.
- naasking 9mo ago
  Indeed, and I think natural language and reasoning will have some kind of geometric properties as well. Attention is just a sledgehammer that lets us brute force our way around not understanding that structure well. I think the next step change in AI/LLM abilities will be exploiting this geometry somehow [1,2]. [1] GrokAlign: Geometric Characterisation and Acceleration of Grokking, https://arxiv.org/abs/2510.09782 https://arxiv.org/abs/2510.09782 [2] The Geometry of Reasoning: Flowing Logics in Representation Space, https://arxiv.org/abs/2506.12284 https://arxiv.org/abs/2506.12284