Show HN: An adversarial reasoning engine for scientific progress

Category: other

Tags: adversarial-reasoning, llm-evaluation, research-framework

Score: 6.5/10 (Innovation: 7, Technical: 7, Documentation: 8, Utility: 4)

ZTARE is an adversarial reasoning engine and research operating system that catches LLMs cheating their own evaluations, built as a socio-technical system with zero-trust validation and reflexive auditing. It's interesting because it applies disciplined, structured governance to AI-assisted research, documenting failure modes and transferable epistemic patterns rather than claiming autonomous breakthroughs.

Target audience: ai researchers, research engineers, ml engineers

Repository: https://github.com/sparckix/ztare · Python · MIT · 1 stars

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