EvoFSM: Teaching AI Agents to Evolve Without Losing Their Minds
Opening — Why this matters now Agentic AI has entered its teenage years: curious, capable, and dangerously overconfident. As LLM-based agents move from toy demos into deep research—multi-hop reasoning, evidence aggregation, long-horizon decision-making—the industry has discovered an uncomfortable truth. Fixed workflows are too rigid, but letting agents rewrite themselves freely is how you get hallucinations with a superiority complex. ...