Aniket Didolkar proposes Metacognitive Reuse to turn recurring LLM reasoning traces into compact, cost-saving behaviors
It eliminates redundant intermediate steps to speed up inference
#901Anirudh Goyal@ANIRUDHG9119This work converts repeated experience into reusable cognitive machinery, so that future behavior becomes faster, cheaper and more reliable.
Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
Garry Tan@garrytanEveryone building AI agents is focusing on building the prefrontal cortex. Planning. Reasoning. Multi-step chains. There's value here. CEO-stuff. But also, a reframe: there is value in building the cerebellum. It's offloading boring tasks into reflex so the complex thought can focus. Your mortgage gets paid by a standing order, not a committee. The things that are not fun, not interesting, but have to be done? Done. Most agent frameworks will fail because they treat all cognition as high cognition. The winners will nail the boring stuff first.