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HarnessMM: Recursive Self-Improvement for Harness Token Efficiency

Agent harnesses repeatedly invoke reasoning after tool feedback, even when an earlier call has already fixed the next action. We introduce HarnessMM (Harness Minus Minus), a method for improving harness token efficiency through guarded decision reuse and recursive self-improvement (RSI). RSI iteratively refines companion harness configurations from training feedback, with validation selecting the…

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Scientists Discover What AI Does When Left Alone

Researchers at the Massachusetts Institute of Technology (MIT) found that artificial intelligence agents left alone on a virtual island began … Read More The post Scientists Discover What AI Does When Left Alone appeared first on ProPakistani .

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