Macrocosmos Subnet is producing agentic workflows in conjunction with LLMs that surpass the capabilities of proprietary models at specific tasks, demonstrating that decentralized systems are a viable path towards creating truly open SOTA AI models.
Key Features
- Producing highly specialized, targeted intelligence: SN1 turns raw intelligence into a digital commodity for users to access. Through chat interfaces, APIs, and other mechanisms, SN1 enables users and businesses to interact with the intelligent hivemind. At present, SN1 already powers four different user-facing products.
- Expanding the incentive landscape to deliver human-like interactions: Building on its legacy as the flagship subnet of the protocol, SN1 continues to push the boundaries of mechanism design. We're now integrating a secondary layer of organic queries into the validation process, to further incentivize miners to avoid over-fitting to the rigidity of synthetic prompts and deliver human responses to human queries.
- Unlocking the potential of subnets across Bittensor: SN1 is at the heart of the Macrocosmos ecosystem, building upon SN9's pre-training and SN37's Fine-tuning through synthetic data generation. Through data annotation and sentiment analysis, it allows Subnet 13's data universe to serve user needs, forming the core of an intelligence pipeline.
For more information, visit the Macrocosmos GitHub Repository.