Congratulations to #Mode for taking a solid step in building a complete stack for the AI Agent market. Recently, #Mode launched the Synth Subnet testnet on #Bittensor, the world's largest decentralized AI network, aiming to drive innovation in AI predictive capabilities through the generation of the most accurate synthetic data. Initially, Synth will focus on predicting BTC prices, with miners generating 100 simulated price paths every five minutes and evaluating the accuracy of their models using #Pyth historical data.
Core Advantages:
Breakthrough in Data Bottlenecks: The high-quality synthetic data provided by #Synth compensates for the lack of training data for AI predictive models, providing a strong data foundation for Mode's AI Agent.
Decentralization and Incentive Mechanism: Utilizing #Bittensor's TAO model, miners are incentivized to continuously optimize model outputs, driving the generation of higher-value AI sub-networks.
Broad Application Potential: Synth's models can be used for AI Agent training, options pricing, and portfolio management, and the future mainnet will also provide API interfaces for developers to build innovative applications.
Significance:
Mode's Synth subnet test not only enhances predictive capabilities but also strengthens the integration of DeFi and AI, providing more efficient and intelligent solutions for decentralized finance. #Synth highlights the potential of AI+DeFi data generation and application, which will drive the DeFi ecosystem towards a more open and inclusive direction in the future.
Summary: The Synth testnet launched by #Mode, through the organic combination of AI+DeFi data, is expected to bring enormous application prospects in the Web3 financial derivatives field, expanding to more asset classes and DeFi applications. This innovation from #Mode is likely to become an important milestone in the field of decentralized AI data generation and is worth paying close attention to. 🧐
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