Good Night Trust in AI inference cannot rely on a single security layer.@TheARCTERMINAL is approaching it as a stack of four: → Hardware attestation → Model integrity → Dual-signed cryptography → Public onchain settlement Each layer connects back to signed reference chains from Intel, AMD, or NVIDIA, creating a composite proof for every inference that anyone can verify onchain. The privacy architecture is equally important. Private keys are derived from passkeys and never stored on ARC servers. Session keys exist only in memory, meaning a server restart removes them. Your data should remain yours. ARC also makes privacy economically useful. For every verification, 10% of the fee is burned, while 70% goes to validators and 5% returns to the user whose data was processed. Security, privacy, and incentives are being designed as one system. That’s a much more interesting direction for verifiable AI infrastructure. 🔐