Human Capital, Not Model Benchmarks, Predicts Hybrid Intelligence in Forecasting
Whether pairing people with AI helps or hurts is usually reported as a single average effect. Using a real-money prediction market (Polymarket) as an objective, externally resolved benchmark, this pilot shows that the value of human-AI collaboration depends on a specific, measurable form of human capital. Analyzed at the level of the individual forecaster, hybrid performance is trimodal: most people either deferred to the model (matching it) or used it to rubber-stamp a prior guess (performing worse than the model alone), while a minority engaged in genuine complementary reasoning and reached
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 59%wonglaitung/fortune →
- PossiblePossibly related (embedding) · 55%Learning to lead in a hybrid human-AI enterprise →
- PossiblePossibly related (embedding) · 55%Companies that add more AI also add more people →
- PossiblePossibly related (embedding) · 53%General Intuition’s $2.3B bet that video games can train AI agents for the real world →
- PossiblePossibly related (embedding) · 50%Anthropic Thinks Its Own Success Is Key to Making AI Safe →
- LinkedLinked via arxiv author · 85%Vivienne Ming →
“Human Capital, Not Model Benchmarks, Predicts Hybrid Intelligence in Forecasting”
- PossiblePossibly related (embedding) · 56%3 Core Artificial Intelligence (AI) Market Leaders to Buy with $1,000 Right Now and Hold for the Next 20 Years - The Motley Fool →
- PossiblePossibly related (embedding) · 50%The skills people still perform better than AI, according to workplace experts - TelegraphHerald.com →
