Allora Network's Model Coordination Network (MCN) design breaks the constraints of traditional centralized models. An in-depth analysis points out that this system allows multiple machine learning models to compete on-chain, with the best ones surviving through market-based selection. This approach is quite interesting — no longer controlled by a single institution, but allowing models to speak with their actual performance. MCN enables different AI models to compete on the same stage to solve problems, which is a fairly innovative idea in the Web3 ecosystem. From a coordination mechanism perspective, it attempts to find a balance that ensures efficiency while decentralizing decision-making power. Such explorations are indeed worth paying attention to for advancing on-chain machine learning applications.