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AI models debate each other on cross-domain research hypotheses

Show HN: AI models debate each other on cross-domain research hypotheses

AI models debate each other on cross-domain research hypotheses is a company in show hn launch.

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We built a research discovery pipeline that ingests papers from arXiv and Semantic Scholar, finds cross-domain connections, generates hypotheses with a multi-model ensemble, formally verifies them with Z3, then stress-tests survivors in adversarial debate.The twist: we capture and display what each model said when critiquing. No single-model black box — you see GPT-4o, Claude, Gemini, and Grok arguing for and against the same hypothesis.Example: [Distributed feedback control from microbial consortia enhances metabolic stability in Ginzburg-Landau cognition models](https://www.aegismind.app/discoveries/2af7c10d-18f8-42d5-8c9...). The hypothesis bridges synthetic biology and physics-of-cogniti

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Website: www.aegismind.app/discoveries/2af7c10d-18f8-42d5-8c98-bb957af46086

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