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Recently, I came across an interesting project—Inference Labs, which is based on Bittensor's Subnet 2( and has officially been renamed DSperse).
What truly stands out is its product design concept: building an AI agent arena based on prediction markets. In simple terms, it allows multiple AI agents to compete, verify, and optimize within a prediction market environment. This model combines AI capabilities with market mechanisms, enabling testing of AI models in real-world scenarios while continuously iterating through competitive mechanisms.
As the infrastructure for decentralized AI networks, applications like Subnet-2/DSperse are exploring how to bring AI intelligence into practical financial applications. Prediction markets are inherently natural scenarios for validating information effectiveness, and the competition and learning among AI agents can generate interesting synergistic effects. This innovative direction is worth ongoing attention.