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Agentic Harnesses: LLM-Driven Verification Layers for Robot Autonomy

Advances in advanced artificial intelligence tools have sparked research in robot autonomy, but the development of such systems has largely focused on execution rather than verifying the feasibility actions planning models propose. Like general-purpose LLMs, robotics planning models carry risks: biased toward user-specified goals, they may suggest actions misaligned with scientific ethics, they…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

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Agentic Auto-Research is Fuzz Testing

Autonomous research agents can generate experiments faster than researchers can validate them. Researchers have responded by scaling the proposer and ranking more samples with a learned judge or human…

Meta’s Muse Glimmer fits on a laptop

Meta released Muse Glimmer on Monday, a 30-billion-parameter open-weight model designed to run agentic workflows on local hardware. It’s available The post Meta’s Muse Glimmer fits on a laptop appeared first on The New Stack .

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