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Polyhedra

@PolyhedraZK

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The Future of Intelligence • Inventor of zkBridge and Expander • EXPchain: The everything chain for AI

Joined January 2023
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@PolyhedraZK
Polyhedra
1 year
EXPchain Testnet is live now! The Future of Intelligence. https://t.co/xUhxOPrdte
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@PolyhedraZK
Polyhedra
15 hours
@opencash_system
Ocash
15 hours
OChristmas is almost here 🎄 Keep an eye on our accounts early next week — we’ll be unlocking the keys to a whole lot of fun.
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@PolyhedraZK
Polyhedra
2 days
Hey @DeFiIgnas this is exactly the problem we’re building 𝗢𝗰𝗮𝘀𝗵 to solve. Private by default, legally compliant, no Wallet → CEX → Wallet detours. Would love your thoughts and to connect on this.
@DefiIgnas
Ignas | DeFi
1 month
If I want to avoid doxxing my wallets sending USDC I do this: Wallet1 → CEX → Wallet2 I can’t use mixers (straight to jail!) Who's building something legally compliant without KYC?
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@PolyhedraZK
Polyhedra
2 days
Noticed privacy is the first thing listed by @a16zcrypto. If crypto is going to be real internet-scale money by 2026, privacy can’t be an add-on; it has to be the default. With @opencash_system, we’re building toward that future: private by default, compliant when needed, and
@a16zcrypto
a16z crypto
9 days
It's time for our annual big ideas. Here are 17 things that various a16z crypto partners (plus a few guest contributors) are excited about for what’s ahead in 2026. On topics ranging from agents and AI; stablecoins, tokenization, and finance; privacy and security; to prediction
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@PolyhedraZK
Polyhedra
2 days
4/ What’s next — and how the community can get involved: Sam also outlined how the community can participate as Ocash evolves: • An active core group on Discord • Ongoing shows each week and more sessions planned for the new year • An “OChristmas” campaign coming soon to
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@PolyhedraZK
Polyhedra
2 days
3/ What makes Ocash different: Ocash is not a mixer. Unlike Tornado-style systems, Ocash hides execution traces using ZK proofs while keeping a UTXO-style structure underneath. Rather than mixing funds, it conceals how transactions are executed. That design enables: • Selective
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@PolyhedraZK
Polyhedra
2 days
2/ Privacy at scale isn’t trivial: One of the first scaling points TC highlighted is transaction flow in a privacy setting. In private systems, users can’t simply broadcast transactions themselves without leaking information. Instead, transactions move through relayers, which
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@PolyhedraZK
Polyhedra
2 days
1/ What shipped: Ocash Mainnet Alpha went live this week, shaped directly by real testnet usage. TC shared that testnet usage surfaced a large number of bug reports. In response, the team chose to rewrite the codebase ahead of Mainnet Alpha. After cleaning up the code and
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@PolyhedraZK
Polyhedra
2 days
This week on The Polyhedra Show, @sampearton sat down with @Tiancheng_Xie (TC) to unpack the launch of Ocash Mainnet Alpha, and what it takes to bring private transaction infrastructure into real-world use. Some key takeaways ⬇️
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@PolyhedraZK
Polyhedra
2 days
@sampearton
Samuel Pearton
2 days
Ocash is about putting Polyhedra back on a long-term path — where deep research turns into real infrastructure, and trust is earned quietly over time. 2026 is the horizon I care about: Privacy done properly, systems that institutions can rely on, and products that feel human,
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@PolyhedraZK
Polyhedra
2 days
5/ As AI becomes the layer users rely on for facts, accuracy is only the baseline. Institutions need AI systems where every conclusion can show its work. That’s exactly what @PolyhedraZK is building: AI that must verify its own reasoning before its answers ever reach the public.
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@PolyhedraZK
Polyhedra
2 days
4/ zkML gives platforms a way to enforce accountable outputs: ✔️ Confirms the model version responsible for each statement ✔️ Confirms which evidence contributed to each claim, without exposing underlying files ✔️ Confirms whether reasoning steps followed required constraints ✔️
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@PolyhedraZK
Polyhedra
2 days
3/ Most AI-generated search results provide zero transparency into how they were assembled: - Which documents influenced the claim - Whether the model merged unrelated cases - Whether unsupported leaps occurred - Whether autocomplete reinforced a false narrative For businesses,
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@PolyhedraZK
Polyhedra
2 days
2/ The issue wasn’t presentation. The outputs looked authoritative, complete with citations, summaries, and references to news articles and government press releases. But reviewers found that some “sources” never mentioned the company at all. When AI shapes real-world decisions,
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@PolyhedraZK
Polyhedra
2 days
Why zkML? Because Google’s AI-generated search summaries invented a lawsuit against a U.S. electrical contractor, and attributed it to a state attorney general despite no such case ever existing. The company discovered the fabricated claims back in 2024, filed suit in March
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@PolyhedraZK
Polyhedra
2 days
The Polyhedra Show - XTC
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@PolyhedraZK
Polyhedra
2 days
@opencash_system
Ocash
2 days
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.
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@PolyhedraZK
Polyhedra
3 days
@Tiancheng_Xie
Tiancheng Xie
3 days
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
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@PolyhedraZK
Polyhedra
3 days
6/ As hiring, work, and collaboration move fully online, identity must be verifiable, human, and secure by design — not dependent on fragile checks and vulnerable databases. With Polyhedra i-D, you can authenticate truth without revealing yourself. Try
id.polyhedra.network
Data-protective identity verification using zkML technology
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@PolyhedraZK
Polyhedra
3 days
5/ That’s why we built Polyhedra i-D. Our zk-powered face verification proves a real human is in front of the camera — without storing biometrics, and without exposing identity. AI can fake faces, but it can’t fake cryptographic proof.
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@PolyhedraZK
Polyhedra
3 days
4/ These systems fail for a simple reason: Traditional verification relies on stored biometrics, weak liveness checks, or simple video presence. Deepfakes can now bypass all three. We’re entering a world where seeing someone on video doesn’t mean they’re real.
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