𝗜𝗻𝘀𝗶𝗱𝗲 𝗢𝗰𝗮𝘀𝗵 - 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗘𝘅𝗽𝗼𝘀𝘂𝗿𝗲Financial regulations require compliance, but they shouldn’t require exposing personal data.With 𝘖𝘤𝘢𝘴𝘩, identity information like ID and DOB can be verified through ZKML — without revealing it publicly.Taken from The Polyhedra Show with Sam Pearton & @Tiancheng_Xie:https://t.co/guDdUx26aj ...

RT vaamx (@vaamx_)Just published: ObelyZK — GKR-based verifiable ZKML inference for billion-parameter models on @Starknet- 14B param verification (Qwen3-14B) in 3.04s/layer on H100- 86K felts calldata (28x reduction) via aggregated weight binding- 18-TX streaming on-chain Cairo verifier (v31)- M31 field tower (124-bit security)- 117K+ lines of Rust, ~14K CairoPaper + full source:https://t.co/u04qnUrKjWLooking for peer reviewers and arXiv https://t.co/zQdpVFtOHx endorsers. DMs open.@SuccinctJT @ddkang @Yupen ...

Technology Trends - Industry is monitoring GPU supply and pricing [1] - Wallets are shipping intent-based execution [1] - ZKML/FHE production launches are being tracked [1] - Home-robot pilots and safety regulations are under observation [1] Future Outlook - The industry is compiling a 2026 watchlist to stay ahead [1]

Product Development - This week the company delivered key improvements across ZKML and Expander [1] Technology Focus - The company's focus areas include ZKML (Zero-Knowledge Machine Learning) and Expander [1]

技术进展 - 团队在本周在 ZKML 和 Expander 方面取得了重大更新 [1]

Development Progress - Circuit testing is being conducted at various scales [1] - End-to-end tests were performed on small circuits [1] - Debugging and optimization efforts are ongoing for larger circuits [1] - Integration of real ZKML (Zero-Knowledge Machine Learning) computation graphs is in progress [1] Future Outlook - More updates will be provided in the future [1]

ZKML Development - Implemented a basic version of recursive proofs for ZKML, a critical step for chaining complex computations efficiently [1]

Last week we pushed the boundaries of GPU acceleration and zero-knowledge machine learning, moving closer toward practical ZKML.Let’s break it down 🧵 👇 https://t.co/8JDoDOwhe3 ...

Technology & Security - zkPyTorch ID utilizes ZKML to establish unhackable proof of humanity [1] - The system registers users via Face → Hash → Chain (one-time process) [1] - Verification involves generating a ZK proof to confirm identity [1] - The system ensures privacy by preventing facial exposure [1] - The system aims to mathematically guarantee one human equals one identity [1]