The Shared Discovery Paradox: sharing info helps individuals but hurts the group
natesiggard · x · 2026-10-05
Yohei Nakajima published The Shared Discovery Paradox, illustrated with a simple math game: sharing information without coordinating actions makes each individual's decisions better-informed but lowers the group's expected payoff, as everyone rushes toward the same already-"found" target. He compares it to kids shouting "I found FREEDOM" during a crossword search — announcing a discovery effectively consumes it for everyone. The paradox has direct implications for information-sharing design in multi-agent systems.
More from AGI Musings
- Noah Smith: Big AI labs predict the future better than you, using internal AI forecasting models — ZeroStateReflex · 2026-10-05
- 'LLMs want something' really means dynamical attractors, not consciousness — cephaloform · 2026-10-05
- AI safety's roots trace back to Asimov's Three Laws of Robotics, first stated in 1942 — AlexTensor · 2026-10-05
- AI circle's contempt culture: rejecting experts without reading their arguments — RileyRalmuto · 2026-10-05
- Founder warns always-on AI assistants love 'performative work' — bad news for businesses — jdjohnson · 2026-10-05
- Ex-OpenAI policy lead Miles Brundage slams The Atlantic's viral story on Anthropic quitter — Miles_Brundage · 2026-10-05