Join @Tony0kAI alongside @Tiancheng_Xie and @sampeartonfor a week of live shows and fun.Verified community members engaging will win USDT. Make sure to join our Discord to be eligible for rewardshttps://t.co/uGLwFzaD5p https://t.co/FLqykLNnnr ...

Every wallet on-chain is a backdoor.Your salary.Your spending.Your trading strategy.Your supply chain.Your treasury flows.All streamed publicly in real time.And now banks, fintechs, and AI agents are moving onto those same rails.The internet of money needs a privacy firewall.That’s Ocash. ...

https://t.co/zMq0hJieAcOcash (@opencash_system):The countdown to OChristmas is on… take a bite of your financial security.Stay tuned — big Mainnet Alpha announcements are coming soon. https://t.co/W5vUouyTqh ...

3/ What’s next:The conversation then turns toward the broader context:As AI agents begin operating online, they’ll need the same guarantees that financial systems require — verifiable behavior, not blind trust.Polyhedra’s upcoming verifiable AI layer provides exactly that:· Cryptographic assurance about which model produced an output· Protection against tampered or spoofed responses· A foundation for responsible, auditable agent behavior across the internetFor Ocash specifically:· Testnet is live· Mainnet a ...

2/ Why it matters:A public wallet isn't just an address — it’s a complete behavioral profile.That visibility has already resulted in targeted attacks against users whose on-chain history was simply too easy to follow.And beyond individual risks:· Institutions cannot run payroll, treasury, or cross-border flows on fully transparent rails· Everyday users often rely on intermediaries just to avoid their financial life being traceable· Regulators across major markets are shifting toward a framework of “prove co ...

This week on The Polyhedra Show, @sampearton sat down with @Tiancheng_Xie (TC) to unpack Ocash, compliant privacy, verifiable AI, and how EXP chain will lower the barrier for proof generation.Some key takeaways⬇️ ...

5/As AI becomes part of formal analysis, accuracy is only the starting point.Institutions need reasoning they can stand behind.That’s exactly what @PolyhedraZK is building: AI systems where every conclusion can explain itself. ...

4/zkML gives teams a way to inspect the process:✔️ confirm the model version behind each step✔️ confirm which evidence influenced each claim, without exposing sensitive files✔️confirm required review rules were actually followed✔️ allow auditors to examine the reasoning without revealing proprietary logicThis turns AI-generated reports from guesswork into something accountable. ...

Why zkML? Because Deloitte’s government HR and health report came under scrutiny after reviewers discovered several citations that didn’t exist.Once AI contributes to official analysis, the conclusion itself isn’t enough. Reviewers need a way to check how each claim was produced. ...

The Polyhedra Show - XTC https://t.co/lvfsV8rlPs ...