I built 174 AI agents that predict the future by fighting each other
Most multi-agent systems make agents cooperate. I made mine fight. The Problem Every prediction tool tells you what the crowd thinks. None of them tell you where the crowd is wrong. The Solution: B...
Source: DEV Community
Most multi-agent systems make agents cooperate. I made mine fight. The Problem Every prediction tool tells you what the crowd thinks. None of them tell you where the crowd is wrong. The Solution: BlackSwanX An adversarial intelligence engine where 200 citizen agents argue while a BlackSwan Assassin tries to kill the consensus. Runs 100% locally on Ollama. Zero API cost. How it works: Crawl — 5 free sources (DuckDuckGo, Reddit, HN, YouTube, Twitter) Assassin's Mark — phi4:14b finds the Kill Shot before citizens start Shadow Swarm — 200 citizens react with biased, emotional opinions Cognitive Dissonance Matrix — calculates where belief diverges from reality Decision-Ready Map — Linchpin + Antifragile Play Example: "Will NVIDIA crash when the AI bubble pops?" The system activated 20 agents (Economist, Quant Analyst, Panic Seller, Chaos Mathematician...) and found: Kill Shot: Quantum computing making GPUs obsolete (10% probability) Citizens: 25% bull / 65% bear Dissonance: 33.6/100 — MAXIM
