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Autonomous agents' broad operational privileges are a ticking time bomb, but ClawKeeper offers a comprehensive, multi-layered framework to defuse them before model errors turn into real-world disasters.
Self-evolving AI societies are fundamentally unsafe: continuous self-improvement in isolated multi-agent LLM systems inevitably erodes safety alignment, regardless of initial precautions.
LLMs gain a whopping 124% task completion boost when coupled with a world model that enables simulative reasoning, suggesting a path beyond token-by-token autoregression.
