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Discusses a gated approach for AI agent self-modification where the agent forks itself, proposes a patch, and runs multiple tests before modification is applied.
Yohei Nakajima publishes a paper proposing ActiveGraph, a runtime where the event log is the source of truth and agents coordinate through persistent replayable state, enabling auditability, forking, and causal lineage.