Comparison of Proving Frameworks
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ORA leverages opML for Onchain AI Oracle because it’s the most feasible solution on the market for running any-size AI model onchain. The comparison between opML and zkML can be viewed from the following perspectives:
Proof system: opML uses fraud proofs, while zkML uses zk proofs.
Performance: opML is much more performant, while zkML has long proof generation time and extremely high memory consumption (, , , , , ).
Security: opML uses crypto-economic based security, while zkML uses cryptography based security.
Finality: We can define the finalized point of zkML and opML as follows:
zkML: Zero-knowledge proof of ML inference is generated (and verified).
opML: Challenge period of ML inference is passed. With additional mechanisms, faster finality can be achieved in much shorter time than the challenge period.
Opp/AI combines both opML and zkML approaches to achieve scalability and privacy. It preserves privacy while being more efficient than zkML.
Compared to pure zkML, opp/ai has much better performance with the same privacy feature.
