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Your Frozen AI Is Getting Smarter (Here's How)
We explore how agentic systems can make frozen AI models smarter without changing their weights. Using the OpenClaw-RL project as a case study, we break down the four-component loop—Agent Serving, Rollout Collection, Evaluation, and Policy Training—that turns the environment into a teacher. Learn about Process Reward Models, reward hacking risks, and why tool routing might be more important than raw reasoning. Episode 2021 — myweirdprompts.com/n/2021 (permanent short link: myweirdprompts.com/070590)
The skinny
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