4/zkML addresses this mismatch directly:✔️ proving which model executed a task, independent of hardware✔️proving policy compliance without exposing model internals✔️proving how inputs shaped outputs without leaking data✔️proving behavior consistency across decentralized deploymentsVerification becomes portable — even when infrastructure is not. ...

Why zkML? Because DeepSeek just released two V3.2 models that deliver frontier-class performance in reasoning, mathematics, and coding — while dramatically lowering the compute required to achieve it.Frontier intelligence is no longer confined to hyperscaler-grade infrastructure. ...

The Polyhedra Show - XTC https://t.co/z0pnYHs7mH ...

https://t.co/wQ0Z4luGs5Ocash (@opencash_system):Online sellers get paid at all kinds of moments — after a product drop, during a promotion, or simply when customers in different time zones decide to buy.On-chain, every one of those payments appears in real time, which makes it surprisingly easy for others to guess how your https://t.co/I4HhDZpRVj ...

6/In an era where AI can fabricate anyone, real identity must be verifiable — without exposing who you are.With Polyhedra i-D, you can prove you're human without handing over your identity.Try https://t.co/FoEySuRFmh ...

5/That’s why we built Polyhedra i-D.Our zk-powered face verification runs on-device and never stores your biometrics, making deepfake injection attacks far harder to pull off. ...

Threat Landscape - AI生成的身份不再是理论，它们已经出现在诈骗、虚假个人资料甚至生物识别验证系统中[1] Emerging Risks - 行业需要关注AI生成身份在欺诈和身份盗用方面的潜在风险[1]

https://t.co/EIxvaRfDwvOcash (@opencash_system):The season of privacy is nearly here.Massive Ochristmas news coming next week. https://t.co/N9cEftVveo ...

5/As agents become persistent actors rather than one-shot responders, trust shifts from output quality to verifiable behavior.Enterprises need automation that produces verifiable evidence, not opaque assertions.That’s exactly what @PolyhedraZK is building: Long-horizon AI automation with proofs attached. ...

4/zkML provides the missing layer:✔️Proves which model executed each stage of the workflow✔️Proves that required policies and constraints were enforced✔️Proves which inputs influenced the outcome without exposing private data✔️ Enables auditors to validate multi-hour agent traces without revealing proprietary logicIt turns autonomous workflow execution into a process that can be inspected, audited and proven at every stage. ...