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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.
Forget prompt engineering: AgentFactory lets LLM agents self-evolve by accumulating and refining executable Python subagents, making task re-execution more reliable and efficient.
VLMs can't count blocks because they lack a view-consistent spatial interface, but decomposing scenes into orthographic projections fixes it.
Self-evolving AI societies are fundamentally unsafe: continuous self-improvement in isolated multi-agent LLM systems inevitably erodes safety alignment, regardless of initial precautions.
