Meta-reasoning as a way for AI agents to plan their own computation

A thread linking to the arXiv work “Thinking Before Thinking” describes meta-reasoning as a way for an AI agent to decide how to use compute while solving a task. It describes a controller that can assess intermediate work and retrieve relevant stored artifacts instead of replaying the full history. The poster claims this approach leads to stronger final outcomes across different models and task domains.