The collaboration between EigenCloud, Kaito, and Polymarket is interesting. While it appears complex, it's easy to understand in layman's terms. The collaboration fully combines the strengths of each party, somewhat like a "three-layer collaborative stack," which can be likened to an "attention prediction pipeline"—Kaito is the input layer, generating data signals; EigenCloud is the trust layer, responsible for verifiable execution; and Polymarket is the output layer, handling user trading interactions. The general process is: Internet data (Twitter/Discord) → Kaito AI (generates mindshare scores) → EigenAI verification (re-execution + ZK proof) → Polymarket market (betting scores) → Settlement (audit passed, winners profit). For example, suppose there's a prediction bet: "Which prediction platform is the most popular?" How is this generated, verified, and settled? First, Kaito AI scans Web3 sources and calculates mindshare scores: Polymarket = 45%, Kalshi = 30%, and others = 25%. Then, a market is created on Polymarket: "This week, Polymarket mindshare > 40%?" Users buy YES (betting Polymarket is leading) or NO shares. After the AI signal is generated, EigenCloud verifies it (rerunning the model to check for output consistency). At settlement, the audit is made public (visible on-chain), and the winner automatically profits. So, what are the benefits for all three parties in this collaboration? For Eigen, the main benefit is increased revenue. The Kaito model runs on EigenCloud, and each additional verifiable calculation contributes to Eigen's value accumulation. The more popular the prediction market based on Kaito's output, the greater the demand for AI verification, and the more beneficial it is for Eigen. For Polymarket, there's an opportunity to earn more transaction and settlement fees. For Kaito, it helps to make its mindshare score more influential and expand its market size. In short, it's a win-win collaboration for all three parties.