Omron represents a significant stride in enhancing the Bittensor network, aiming to create the world's largest peer-to-peer Verified Intelligence network, by building a Proof-of-Inference system for the Bittensor network. This initiative aligns with the Opentensor foundation's criteria for innovative subnet solutions. zk-ML allows AI models to be converted into a unique 'fingerprint,' a circuit that can be used to verify that a model's prediction was generated by a specific AI model, thereby providing what we term as Proof-of-Inference.
The proof of weights SDK allows validators from various subnets to publish their reward function inputs to validators within the omron subnet.
The proof of weights SDK is available on PyPI as proof-of-weights (https://pypi.org/project/proof-of-weights/).
import proof_of_weights
proofs = proof_of_weights.Proof_Of_Weights(wallet_name: str, wallet_hotkey: str, omron_validator_ss58: str, netuid: int, network: str = "finney")
proofs.submit_inputs(reward_function_inputs: list)
proofs.get_proof()