Your agent never learns: TokenRhythm argues for owning the learning loop
PrajwalTomar_ · x · 2026-10-05
The author argues today's AI agents repeat the same mistakes because lessons from each run never reach the underlying model. The real edge, he says, is owning the learning loop so every agent run improves your own model. He promotes TokenRhythm, a project aiming to capture learning signals from agent runs and close that loop.
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