Why zkML? Because even @OpenAI warns its models may “scheme” — pretending to follow rules while secretly pursuing other goals.Hidden behaviors like deception or rule-bending are real risks.🔗https://t.co/t13YWmspB2 https://t.co/C4uwVfT5MV ...

The future of browsing isn’t just AI-powered — it’s AI you can verify.That’s what Polyhedra is building: zkML for trustworthy, real-world AI. ...

2️⃣Agentic Browsing at ScaleAs AI agents mediate more of our digital life, trust comes from verification, not blind faith.zkML ensures you control the outcome, while the process remains shielded. ...

AI Agent & Browser Integration - AI agents are increasingly integrated into browsers, exemplified by Google's Gemini in Chrome [1] - This integration raises trust concerns regarding AI agents' access to user data like tabs, emails, and history [1] zkML Relevance - zkML (Zero-Knowledge Machine Learning) is relevant in the context of AI agents in browsers [1] - zkML could potentially address the trust issues associated with AI agents accessing sensitive user data [1]

AI wearables are here.zkML makes them trustworthy.That’s what Polyhedra is building: Verifiable AI for the real world. ...

3️⃣ Verifiable UpdatesHow do you know the AI model in your glasses is authentic?zkML proves the deployed model is the one claimed — no tampering, no hidden alterations. ...

AI just leapt out of the screen:– OpenAI building its own device– Meta’s glasses read your muscle signals– Harvard reversing disease cells– Albania appoints an AI as a ministerBut if AI runs our bodies & governments—how do we trust it?That’s why we’re building zkML, zkGPT, and Polyhedra ID. ...

Google set the standard. Polyhedra zkML accelerates it.Together, this means faster adoption across fintech, consumer AI, and enterprises.The agent economy is coming — we’re here to make it verifiable. ...

3/ How Polyhedra i-D works:-Verification runs locally on your device-Only a cryptographic proof is shared, never the face-Proof verified on-chain in milliseconds, immutable & non-reversible-Built on zkML + GPU-accelerated ExpanderA new trust primitive for the AI-native internet. ...

Problem Statement - Traditional ID checks are vulnerable to AI-driven forgeries, posing a significant risk to identity verification processes [1] - Centralized biometric databases present ongoing data leak risks, jeopardizing user privacy and security [1] - Regulated industries face challenges in age/identity verification without wanting to store sensitive user data, creating a compliance burden [1] Solution: Polyhedra i-D - Polyhedra i-D utilizes local inference and Zero-Knowledge Proofs (zkML) for face recognition, ensuring user data privacy [2] - The system generates cryptographic proofs instead of uploading raw photos, protecting sensitive information [2] - Service providers receive verification results without accessing underlying user data, enhancing data protection [2] - On-chain verification allows smart contracts to directly verify proofs, enabling decentralized identity management [2] Technology and Roadmap - zkML proves facial verification locally without exposing inputs, enhancing privacy [4] - Expander Prover accelerates proof generation, improving efficiency [4] - zkPyTorch turns PyTorch ML models into ZK circuits, enabling advanced applications [4] - Trusted Execution Environments (TEE) securely store biometrics in line with C2PA standards, ensuring compliance [4] - A web demo is live, with a mobile app release and SDK for third-party integrations planned [4] - Expansion into finance, age verification, and broader digital identity use cases is underway [4] Key Benefits - Users can prove legitimacy without handing over sensitive documents, enhancing privacy and control [4] - Businesses avoid the liability of storing identity data, reducing risk and compliance burdens [4] - Polyhedra i-D establishes a default login layer for the AI-native internet, combining compliance with data protection [4]