Today, we're laying the foundation to accelerate open & decentralized AI Introducing our protocol & testnet: A peer-to-peer compute and intelligence network. Enabling collective creation, ownership, and access of sovereign open-source AI Towards an open superintelligence future

This marks a key next step in our masterplan, leveraging our work on: - Aggregating compute with our Compute Exchange - Scaling distributed training with prime, proven in INTELLECT-1 - Enabling distributed reinforcement learning with genesys, battle-tested in SYNTHETIC-1 - Allowing trustless verification of compute through TOPLOC Our protocol unifies these components and forms the coordination and incentive layer to enable scale.

Our protocol is designed to support: - Global-scale markets for compute and intelligence - Trustless decentralized training, synthetic data generation, inference, agents and more - Anyone in the world to contribute & participate - Novel funding mechanism for open-source AI Forming an ecosystem where open and decentralized AI can thrive.

Our protocol testnet ran live for SYNTHETIC-1: - Users successfully deployed protocol workers on their compute - Contributions were tracked and settled on-chain - Transactions and events are verifiable on Base testnet chain

The testnet infrastructure is composed of: - Worker: Software that allows anyone to contribute their compute to the network - Validator: Checks for and identifies fraudulent or faulty hardware - Orchestrator: A server for to manage the workers in the pool - Contracts: A trustless layer built on top of @Base, an @Ethereum-based layer-2 chain

Our testnet is just the first step of our protocol vision and masterplan. We plan to build much more on it over the next few months. If this is exciting, or if you want to build models and agents on our testnet, reach out for collabs or check out our open roles:

More details and open-source code: - Worker/Validator/Orchestrator: - Contracts: - Blog:

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towards open + decentralized superintelligence 🫡

Open Intelligence from start to finish 🚀

Open source AI 🫡