Primer: The OpenGradient Network
OpenGradient is the Network for Open Intelligence, a decentralized infrastructure network designed to host, execute, and verify AI models at scale.
OpenGradient acts as an AI coprocessor network other agents, networks, chains, and apps. 🧵👇🏻
Agents that can’t pay for compute aren’t autonomous.
At scale, human approval becomes the bottleneck.
Agents need the ability to pay for compute themselves: per task, instant, verifiable.
OpenGradient TEE infrastructure updates:
- Inference responses are now cryptographically signed by the TEE, providing hardware-backed proof of authenticity and integrity.
- TEE Registry now supports on-chain heartbeats with liveness proofs, enabling the network to continuously verify that gateways are running in genuine Trusted Execution Environments.
- New smart contracts for TEE inference settlement.
- Published guide for running gateways inside AWS Nitro Enclaves.
These changes improve security, verifiability, and operational reliability of the network.
Applied @karpathy’s autoresearch loop to probe real divergence between frontier models using 320+ hard questions + forced binary choices.
1,277 TEE-sealed inferences later → models agree when they can hedge, but diverge sharply otherwise.
Open source, onchain-verified, built on @OpenGradient. 👇🏻
AI systems are moving into environments where outcomes carry real consequences.
Without the ability to verify execution, those systems remain fundamentally incomplete.
OpenGradient approaches this through verifiable execution.
Product Highlight: OpenGradient SDK 👇🏻
- External contributions across docs, security, and core fixes
- Clearer SDK guides and documentation
- Improved credential handling and SSL verification
- Fixes across streaming and CLI
Making the SDK more reliable and easier to use, appreciate everyone contributing here, small fixes go a long way.