Congratulations #Mode is taking a solid step towards building a complete stack for the AI Agent market. Recently, #Mode launched the Synth Subnet test network on the world’s largest Decentralization AI network #Bittensor, aiming to drive innovation in AI prediction capabilities by generating the most accurate synthetic data. Initially, Synth will focus on predicting the price of BTC, with Miners generating 100 simulated price paths every five minutes and evaluating the accuracy of their models using #Pyth historical data.
Core Advantages:
Breaking through the data bottleneck: #Synth provides high-quality synthesized data to supplement the insufficient training data for AI prediction models, providing a strong data foundation for Mode’s AI Agent.
Decentralization and incentive mechanism: Using #Bittensor’s TAO model, incentivizing Miner to continuously optimize model outputs, and promote the generation of higher value AI sub-networks.
Wide range of applications: Synth models can be used for AI Agent training, Options pricing, and portfolio management. In the future, the Mainnet will also provide API interfaces for developers to build innovative applications.
Importance:
The Synth subnet test of Mode not only improves the predictive ability, but also strengthens the combination of Decentralized Finance and AI, providing more efficient and smarter solutions for Decentralization Finance. #Synth highlights the potential of AI+Decentralized Finance data generation and application, and will promote the development of the Decentralized Finance ecosystem towards a more open and inclusive direction in the future.
Summary: #Mode’s Synth Testnet, through the organic combination of AI+Decentralized Finance data, has huge application prospects in the Web3 financial derivatives field and will be expanded to more asset categories and Decentralized Finance applications in the future. This innovation by #Mode is expected to become an important milestone in the field of Decentralization AI data generation and is worth following closely. 🧐
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Congratulations #Mode is taking a solid step towards building a complete stack for the AI Agent market
Congratulations #Mode is taking a solid step towards building a complete stack for the AI Agent market. Recently, #Mode launched the Synth Subnet test network on the world’s largest Decentralization AI network #Bittensor, aiming to drive innovation in AI prediction capabilities by generating the most accurate synthetic data. Initially, Synth will focus on predicting the price of BTC, with Miners generating 100 simulated price paths every five minutes and evaluating the accuracy of their models using #Pyth historical data.
Core Advantages:
Breaking through the data bottleneck: #Synth provides high-quality synthesized data to supplement the insufficient training data for AI prediction models, providing a strong data foundation for Mode’s AI Agent.
Decentralization and incentive mechanism: Using #Bittensor’s TAO model, incentivizing Miner to continuously optimize model outputs, and promote the generation of higher value AI sub-networks.
Wide range of applications: Synth models can be used for AI Agent training, Options pricing, and portfolio management. In the future, the Mainnet will also provide API interfaces for developers to build innovative applications.
Importance:
The Synth subnet test of Mode not only improves the predictive ability, but also strengthens the combination of Decentralized Finance and AI, providing more efficient and smarter solutions for Decentralization Finance. #Synth highlights the potential of AI+Decentralized Finance data generation and application, and will promote the development of the Decentralized Finance ecosystem towards a more open and inclusive direction in the future.
Summary: #Mode’s Synth Testnet, through the organic combination of AI+Decentralized Finance data, has huge application prospects in the Web3 financial derivatives field and will be expanded to more asset categories and Decentralized Finance applications in the future. This innovation by #Mode is expected to become an important milestone in the field of Decentralization AI data generation and is worth following closely. 🧐