Company Overview - Egg.Party鼓励用户参与烹饪并分享作品，共同创造卓越的社区体验 [1] - Egg.Party 旨在建立一个美食分享社区 [1] Community Engagement - Egg.Party 邀请用户积极参与，分享烹饪成果 [1] - Egg.Party 强调社区成员共同创造价值 [1]

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. ...

Think of it as the missing trust primitive for AP2.Agents can pay, move money, and unlock services — all while proving compliance instantly. ...

Industry Trend - The industry observes Google's announcement of the AP2 protocol, a standard for AI agents to initiate payments [1] - The industry anticipates this as the beginning of a new economy driven by AI agents [1]

Who has been trying our new i-D product?👉 https://t.co/FoEySuRFmhOur CMO @sampearton will be on discord at 12pm UTC to get some people up on stage to discuss some use cases & do some giveaways. ...

4/ This is data-protective verification: proof you’re human, without giving up your most valuable asset—your identity.In a world where AI can fake anything, you should always control what makes you you.👉Read the full deep dive: https://t.co/yYj51J1ejI ...

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. ...

The rise of AI fakes, fraud, and overreach shows one thing: identity needs a new model.Our latest blog introduces Polyhedra i-D—proving identity without surrendering control. 🧵 https://t.co/UXLd0ZK2zl ...

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]

AI and Market Opportunity - AI is rapidly creating trillion-dollar markets [1] - The rise of unicorns and billion-dollar compute deals signifies substantial market activity [1] Trust and Verifiability - Verifiability is crucial for ensuring AI systems are real, safe, and trustworthy [1] - Building trust in AI systems is essential before they reshape jobs, the economy, and even human bodies [1] zkML's Role - zkML is designed for a future where verifiability is paramount [1]