Mode has launched the Synth testnet on Bittensor, the world’s largest decentralized AI network.

The initiative introduces the Synth Subnet Testnet, which leverages Bittensor’s decentralized intelligence network to create the world's most powerful synthetic data, starting with BTC price.

This unlocks a powerful tool for AI Agents deployed on Mode. Up until now, the forecasting capabilities of AI Agents have been limited due to a lack of useful data to train on. Synth changes this by incentivising miners to continuously submit synthetic models which capture full distribution of possible price movements and their associated probabilities, creating the world’s most accurate synthetic data.

The project’s goal is to become the go-to location for asking questions on future price probability distributions.

Bittensor operates through a network consisting of smaller, specialized sub-networks (subnets), each dedicated to different areas of AI. Synth will join this network on testnet and leverage  Bittensor’s sophisticated TAO economic model that incentivizes the production of high-value AI subnets. In the future, $MODE will be incorporated into a wider model for our AI Agents.

Initially, Synth will see miners generate 100 simulated price paths for BTC every five minutes. Miners will be evaluated on how accurately they model the probability distribution of future prices and their ability to encapsulate realistic price dynamics, such as volatility clustering and skewed fat-tailed price change distributions. Validators will score miners by comparing their outputs to Pyth’s historical price data using a detailed scoring methodology.

Mode is building this Subnet to improve the forecasting and probabilistic reasoning of Agents and LLMs across decentralized finance.

Initially it is expected that Synth’s models will be used for training AI Agents, options pricing models and portfolio management. When the subnet is launched on Mainnet applications and APIs will be built for builders to integrate with.

Synth is designed to push the boundaries of what AI Agents can achieve, through continuously improving synthetic data. For more information, visit the GitHub: github.com/mode-network/synth-subnet.

A dedicated discord channel has been created in the Bittensor discord for discussion.

Mode is the Layer 2 (L2) building at the intersection of DeFi and AI. Mode’s mission is to scale DeFi to billions of users through onchain agents and AI-powered financial applications. Backed by a $6 million grant from Optimism, our mission is to build a more open, efficient, and inclusive financial future.

To learn more and get involved with the community and core team, check out our community telegram groups

Mode has launched the Synth testnet on Bittensor, the world’s largest decentralized AI network.

The initiative introduces the Synth Subnet Testnet, which leverages Bittensor’s decentralized intelligence network to create the world's most powerful synthetic data, starting with BTC price.

This unlocks a powerful tool for AI Agents deployed on Mode. Up until now, the forecasting capabilities of AI Agents have been limited due to a lack of useful data to train on. Synth changes this by incentivising miners to continuously submit synthetic models which capture full distribution of possible price movements and their associated probabilities, creating the world’s most accurate synthetic data.

The project’s goal is to become the go-to location for asking questions on future price probability distributions.

Bittensor operates through a network consisting of smaller, specialized sub-networks (subnets), each dedicated to different areas of AI. Synth will join this network on testnet and leverage  Bittensor’s sophisticated TAO economic model that incentivizes the production of high-value AI subnets. In the future, $MODE will be incorporated into a wider model for our AI Agents.

Initially, Synth will see miners generate 100 simulated price paths for BTC every five minutes. Miners will be evaluated on how accurately they model the probability distribution of future prices and their ability to encapsulate realistic price dynamics, such as volatility clustering and skewed fat-tailed price change distributions. Validators will score miners by comparing their outputs to Pyth’s historical price data using a detailed scoring methodology.

Mode is building this Subnet to improve the forecasting and probabilistic reasoning of Agents and LLMs across decentralized finance.

Initially it is expected that Synth’s models will be used for training AI Agents, options pricing models and portfolio management. When the subnet is launched on Mainnet applications and APIs will be built for builders to integrate with.

Synth is designed to push the boundaries of what AI Agents can achieve, through continuously improving synthetic data. For more information, visit the GitHub: github.com/mode-network/synth-subnet.

A dedicated discord channel has been created in the Bittensor discord for discussion.

Mode is the Layer 2 (L2) building at the intersection of DeFi and AI. Mode’s mission is to scale DeFi to billions of users through onchain agents and AI-powered financial applications. Backed by a $6 million grant from Optimism, our mission is to build a more open, efficient, and inclusive financial future.

To learn more and get involved with the community and core team, check out our community telegram groups