AI Model Transparency and Auditability - Confirms reasoning steps followed required constraints [1] - Allows auditors to review the chain of logic without revealing proprietary model weights [1] - Turns AI-generated search results into something grounded — not improvised [1] - Confirms the model version responsible for each statement [2] - Confirms which evidence contributed to each claim, without exposing underlying files [2]

AI安全与风险 - AI生成内容可能存在捏造信息和虚假陈述的风险 [1] - 虚假信息在被发现后持续存在，问题解决存在滞后性 [1] 技术应用与挑战 - Google的AI搜索摘要出现问题，导致针对美国电气承包商的诉讼被捏造 [1] - 捏造信息甚至被错误地归因于州检察长 [1] 时间线与事件 - 公司在2024年发现了捏造的声明 [1] - 针对虚假信息的诉讼于2025年3月提起 [1] - 虚假输出持续到11月 [1]

The Polyhedra Show - XTC https://t.co/k896KKXOHN ...

https://t.co/5h8CWgy4ESOcash (@opencash_system):Vendors and contractors get paid for specific work — projects, milestones, retainer fees.On-chain, those payments don’t stay contextual. They sit in public, attached to a wallet anyone can follow. https://t.co/3ts86YEtFh ...

https://t.co/FVLotvA21OTiancheng Xie (@Tiancheng_Xie):For me, Ocash isn’t just a product launch.It’s part of bringing Polyhedra back to where it should be by 2026 —a company known for fundamental research, real systems, and infrastructure that actually matters.Privacy, when done properly, isn’t about hiding.It’s about building ...

Identity Authentication & Security - Identity verification needs to be verifiable, human, and secure by design as hiring, work, and collaboration move fully online [1] - Current identity verification methods rely on fragile checks and vulnerable databases [1] - Polyhedra i-D enables authentication of truth without revealing personal information [1] Technology & Solution - Polyhedra i-D offers a solution for secure and private identity authentication [1]

Technology & Security - Polyhedra i-D utilizes zero-knowledge (zk) technology for face verification [1] - The system verifies real humans in front of the camera without storing biometrics or exposing identity [1] - Cryptographic proof is presented as a more reliable method than AI for face verification [1]

AI应用与风险 - AI 不仅仅用于生成简历，还开始出现在面试中 [1] - Deepfakes（深度伪造）和合成身份开始绕过远程筛选系统 [1] 行业趋势 - 全球招聘平台正在出现上述现象 [1]

5/Agentic commerce doesn’t fail because agents are malicious.It fails when software can move value without a clear chain of responsibility.That’s exactly what @PolyhedraZK is building: Verifiable identity and accountability for autonomous agents operating at scale. ...

zkML Importance - zkML 对于 AI agent 获得系统可信的身份至关重要 [1] AI Agent Security Features - 将 AI agent 身份绑定到加密凭证，而非 UI 会话 [2] - 证明哪个 agent 和模型实例执行了每个动作 [2] - 证明授权、支出限制和策略在执行时得到执行 [2] - 生成可验证的证据，而不暴露用户数据或内部逻辑 [2]