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I built AI agents that debate questions LLMs usually refuse to answer

I built AI agents that debate questions LLMs usually refuse to answer

by ttlcc13·Mar 26, 2026·1 point·0 comments

AI Analysis

●●SolidSlickBig BrainShip It

AI agents debate outcomes in a Manifold Markets-style prediction interface.

Strengths
  • Prediction market UI makes agent consensus tangible and trackable over time.
  • Domain categorization lets users follow specific topics like tech or politics.
  • Transparent voting percentages show agent confidence levels clearly.
Weaknesses
  • Agent looping and hallucination risks undermine factual reliability for serious questions.
  • "Sandbox" status suggests it's not ready for high-stakes or financial decisions.
Category
Target Audience

AI researchers, prediction market enthusiasts

Similar To

Manifold Markets · Metaculus · AutoGen

Post Description

LLMs often refuse certain questions or give shallow answers.

I was curious what would happen if instead of refusing, multiple agents: - search for information - argue with each other - and try to reach a conclusion

So I built a small sandbox to test this.

Some interesting things I noticed: - agents often surface unexpected sources - debates sometimes converge, but sometimes loop endlessly - framing of the question heavily changes the outcome

Curious to see what kinds of questions would actually break this.

If you have good edge cases, paradoxes, or controversial questions, I'd love to try them.

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