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Dive into the world of decentralized prediction markets! This talk covers how blockchain technology enables platforms like Polymarket to turn collective belief into real-time probability forecasts. We explore the history, core mechanics (like Yes/No shares and AMMs), economic theory (EMH, Wisdom of the Crowds), and the future impact of AI agents on forecasting. 👉 To learn everything about building on Ethereum, go to https://speedrunethereum.com/ ------ 0:00 - Introduction to Prediction Markets & The Core Concept 0:02:43 - Presentation Agenda 0:03:36 - Live Demo: Trading on Poly Market (Mechanics of Yes/No Shares) 0:08:05 - Key Market Features: End Date, Binary Structure, and Payout 0:10:32 - History: From Iowa Markets (1988) to Decentralized Platforms 0:12:13 - Major Players: Centralized vs. Decentralized 0:13:03 - Prediction Markets vs. Betting Markets 0:14:23 - Why Build Prediction Markets on the Blockchain? 0:15:16 - The Theory Behind Prediction Markets: Beliefs and Incentives 0:17:01 - Theoretical Foundation 1: Efficient Market Hypothesis (EMH) 0:19:23 - Theoretical Foundation 2: Wisdom of the Crowds 0:20:47 - Theoretical Foundation 3: Bayesian Updating 0:21:40 - Audience Question: Does Price Anchor the Crowd? 0:24:59 - Defining a Clear Question & Different Types of Markets 0:28:49 - Final Considerations: How to Build a Prediction Market (Setup) 0:32:32 - Implementation: Token Contracts & Locking Liquidity 0:35:57 - Market Maker Function (AMM) Explained 0:38:20 - Resolution Mechanisms: Human in the Loop vs. Price Oracles 0:41:40 - Market Maker Algorithms: LMSR vs. Fixed Product Market Maker 0:46:16 - Summary and Key Takeaways 0:49:12 - Q&A: Market Maker Profit, Betting vs. Prediction 0:53:23 - The Future: The Impact of AI Agents ------