We unlocked the working memory of LLMs 💥
Reasoning in Memory (RiM) replaces autoregressive "thinking out loud" with fixed memory blocks that form a task-specific workspace for latent reasoning.
The key idea is simple: reasoning should happen inside the LLM, not in its output!
