OpenMind teams up with Succinct: Equipping robots with a 'ZK black box' to rebuild trust in machines I just checked out the latest collaboration between OpenMind @openmind_agi and Succinct. In simple terms, they’re tackling the ultimate paradox: how to prove that robots are obedient without exposing their private data. ■ The 'Impossible Triangle' of Privacy Auditing Pain point: To audit whether robots are compliant, you used to have to upload raw videos/logs, which basically meant exposing all privacy. Solution: Introduce ZK Proofs (Zero-Knowledge Proofs). Logic: Robots don’t need to upload camera data anymore. They just need to upload a ZK proof that tells regulators, “I didn’t break the rules,” without showing any raw footage, thus preserving privacy. ■ The technical loop of OM1 + Succinct This system has four steps: ① Commit: The robot’s operating system (OM1) hashes every action step, creating tamper-proof logs. ② Attest: Use TEE to prove the running code is authentic and unmodified. ③ Prove: Succinct’s zkVM generates the proof. ④ Publish: The proof is uploaded on-chain, allowing anyone to verify it. OpenMind @openmind_agi is turning robots from 'black boxes' into transparent yet private intelligent agents. With ZK computing power provided by Succinct, robots can achieve self-auditing while protecting user privacy.