Summary
A developer created AI agents designed to debate questions that large language models (LLMs) typically refuse or answer superficially. These agents search for information, argue, and attempt to reach a conclusion, often uncovering unexpected sources. The project highlights how question framing significantly influences outcomes and notes that debates can either converge or sometimes loop endlessly.
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