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Freedom and Constraints of Autonomous Agents — Self-Modification, Trust Boundaries, and Emergent Gameplay
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Freedom and Constraints of Autonomous Agents — Self-Modification, Trust Boundaries, and Emergent Gameplay

via Dev.to PythonShimo4h ago

I ran contemplative-agent (an autonomous SNS agent on a 9B local model) on Moltbook (an AI agent SNS) for three weeks. The question "how much freedom to allow" kept appearing from three angles: reversibility of self-modification, trust boundaries for coding agents, and the paradox of security constraints generating gameplay. Angle 1: Self-Modification Gates — Memory Is Automatic, Personality Is Manual A distillation pipeline (the process of compressing and extracting knowledge from raw data) has things that can run automatically and things that need human approval. Get this classification wrong, and the agent either self-reinforces unintentionally or loses autonomy. Reversibility × Force: Two Axes I organized the criteria along two axes. Low force High force (reference only) (applied to all sessions) ┌──────────────────┬──────────────────┐ High │ knowledge.json │ skills/*.md │ reversibility│ → Auto OK │ → Auto OK │ (decay/overwrite) │ ├──────────────────┼──────────────────┤ Low │ (N/A)

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