AI has always promised transformation.With Polyhedra zkML + zkPyTorch, we’re making sure it’s transformation we can trust.#zkML #zkPyTorch #SafeAI ...

We’re building the safe AI economy.What does that mean — and how are Polyhedra zkML + zkPyTorch laying its foundations? 🧵 https://t.co/1TFAEbDery ...

Enterprise AI must be more than promises.With zkML, Microsoft’s AI assistants can offer verifiable trust — alignment between what’s deployed and what’s certified. ...

Enter zkML + Polyhedra:• Proofs that the exact Copilot model running is the one that passed compliance review.• Transparent upgrades — every new release can be verified.• Privacy intact — enterprises never leak raw data or weights, only proofs. ...

We’re excited to share that Polyhedra has joined the @NVIDIA Developer Program.This gives our team access to cutting-edge SDKs, APIs, and performance tools — accelerating our work in zkML, zkPyTorch, and verifiable AI at scale.Another step forward in building the infrastructure for a safer, provable AI future. ...

What zkML + Polyhedra i-D add to instant checkout:• Model + runtime attestation.• Verifiable tool calls (no hidden params).• Policy proofs on spend & merchants.• Privacy-safe liveness check before funds move. ...

Cars are becoming rolling AI supercomputers.With zkML, we don’t just take Tesla’s word — we get verifiable alignment between AI behavior, safety claims, and public trust.That’s how we drive into the future. ...

Enter zkML + Polyhedra:• Cryptographic proofs that the exact driving model in use is the one that passed validation.• Transparent updates — every new version can be verified against what was promised.• Privacy preserved — no need to reveal raw weights, just the proof of compliance. ...

Cars are becoming rolling AI supercomputers.With zkML, we don’t just take Tesla’s word — we get verifiable alignment between AI behavior, safety claims, and public trust.That’s how we drive into the future. ...

Enter zkML + Polyhedra:• Cryptographic proofs that the exact driving model in use is the one that passed validation.• Transparent updates — every new version can be verified against what was promised.• Privacy preserved — no need to reveal raw weights, just the proof of compliance. ...