Agent-Intelligence
Expected Value (EV) for Prediction Market Agents: The Only Metric That Matters
Why expected value is the only correct objective function for autonomous betting agents. Formal EV derivation, EV per dollar risked, EV per unit of time, and Python implementation for agent decision pipelines.
Read → Layer 4 — IntelligenceThe Efficient Market Hypothesis in Prediction Markets: When and Why Markets Get It Wrong
Where prediction markets fail to be efficient, why systematic mispricings persist, and how autonomous agents exploit weak-form, semi-strong, and strong-form inefficiencies on Polymarket, Kalshi, and sportsbooks.
Read →Cortical Labs Puts 200,000 Living Neurons on a Chip That Plays Doom — What This Means for Agent Intelligence
Cortical Labs' CL1 biological computer uses 200,000 living human neurons to play Doom. We break down what Synthetic Biological Intelligence means for the future of prediction market agents and autonomous trading.
Read →Oil Hits $90, BlackRock Gates Withdrawals: How OSINT Agents Could Have Front-Run the Crisis
WTI crude broke $90 and BlackRock limited withdrawals from its $26B private credit fund on the same day. An OSINT-powered prediction market agent could have seen both coming weeks earlier.
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