Show HN: PES Benchmark v0.2 – Detecting AI-generated motion (Cohen's d=10.4) (github.com)

The launch of PES Benchmark v0.2 introduces MyShape Protocol, a groundbreaking system designed to verify personal identity through continuous motion-signature verification. As traditional identity verification methods struggle in an age where AI can easily replicate human attributes, MyShape's Proof of Continuity utilizes the unique entropy found in human motion to establish unbroken identity over time. This technology processes data on-device, ensuring zero raw data leaves the user's device while using zero-knowledge proofs to confirm a person's presence without revealing personal information. This protocol is significant for the AI/ML community as it tackles some of the significant challenges posed by AI-generated content, particularly in digital identity and authentication. Using a complex 128-dimensional motion vector derived from real-time 3D pose data, it distinguishes between human and AI-generated motion with a clarity that current biometric systems cannot match. The implications are far-reaching; it provides a new standard for digital identity verification, paving the way for secure interactions in a future where digital presence is essential. By addressing concerns of privacy and security, MyShape aims to revolutionize how identities are established and maintained in an increasingly digital world.