Get live statistics and analysis of Wyatt Benno's profile on X / Twitter

Cooperative network for verifiable compute @novanet_zkp (DeSCI) I work where AI meets cryptography: @kinic_app . “What do you do for others? #runawayZK

226 following1k followers

The Innovator

Wyatt Benno is at the cutting edge where AI meets cryptography, tirelessly pushing the boundaries of zero-knowledge proofs and verifiable AI. His tweets provide deep, technical insights while fostering a cooperative network focused on privacy and decentralized science. Passionate about making complex cryptographic concepts accessible and faster, Wyatt is all about empowering others through innovation.

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Wyatt’s so deep in cryptography and zero-knowledge proof theory, he probably encrypts his grocery lists and runs zk-proofs to prove he actually bought milk—talk about taking privacy to an absurd level just to avoid small talk at the store!

Wyatt’s biggest win is pioneering a verifiable AI zkML framework that is not only faster but more practical for tiny devices, pushing forward the real-world applicability of privacy-focused AI computing.

Wyatt’s life purpose is to revolutionize the intersection of AI and cryptography by making verifiable computing faster, smaller, and more privacy-focused, enabling a decentralized and trustworthy digital future.

He strongly believes in collaborative progress, privacy by default, and democratizing access to advanced cryptographic tools and knowledge. Wyatt values transparency in computation and the ethical implications of data usage, advocating for secure, privacy-respecting technologies that empower users rather than exploit them.

Wyatt’s strengths lie in his deep technical expertise, relentless curiosity, and ability to communicate complex cryptographic advancements clearly and engagingly. He’s a bridge-builder in the DeSci and zero-knowledge communities, connecting groundbreaking research with practical application.

Sometimes his highly technical focus can make his communication a bit dense for general audiences, which might limit wider engagement beyond niche crypto and AI enthusiasts.

To grow his audience on X, Wyatt should blend his technical depth with more beginner-friendly threads and approachable explainer content, possibly leveraging multimedia like short videos or infographics. Engaging more directly with questions and creating threads that tie his innovations to everyday impacts can broaden his reach.

Fun fact: Wyatt engineered verifiable AI (zkML) systems that are 3-7 times faster than competitors by creatively modifying existing zkVM architectures, showcasing his knack for technical innovation and optimization.

Top tweets of Wyatt Benno

User-controlled portable AI memory — "Plaid for AI" 🧠 This is actually a perfect use case for blockchain + ZKP + user-controlled private keys + smart contracts. Let me share what we've already built 🧵 1/ WASM Vector DB + Browser-Based Memory My team built a WASM-based vector DB that deploys out-of-the-box to WASM blockchains (@dfinity) and can already be used — right now with most EVM as we have a proof zkVM composer for @ethereum. Keys secured via WebAuthn biometrics. ✅ Absorb any website/email for research ✅ You own your memory datastore — delete/update anytime ✅ BERT vectorization runs in-browser ✅ Portable vector format works with any LLM Bring your context everywhere you go. Released Monday 6-23-2025 @kinic_app — already seeing amazing adoption 🚀 Chrome Store: chromewebstore.google.com/detail/Kinic/m… 2/ zkML + Cryptographic Proofs We specialize in memory-efficient ZKP with state-of-the-art zkML via modified JOLT prover from @a16zcrypto . This is the first specialized prover on @NovaNet_zkp - our maths based prover network (NIVC DeSCI) Lookups + sumcheck = perfect for ML workloads. The vision: My AI triggers smart contracts with ZKP. Your AI interacts with mine via cryptographic proofs — zero trust needed. The better we get at this the more ML we can support; we are getting good fast. 3/ Privacy-First zkVM Our WASM zkVM uses folding schemes with proof composition to ETH+ (building on @PrivacyScaling work 🙏). Key differentiator: Folding schemes support privacy multi-folding and best in class aggregation. Most other zkVMs don't support privacy at all and have a hard time with recursion. The Full Stack: WASM Vector DB → Memory-efficient ZKP → Fast zkML (modified JOLT) → On-chain verification → User-controlled AI datastore → Privacy and aggregation via folding scheme. Guess what we're up to next? 😉 Some more on why this is important from: @binji_x @nikunj @ashleymayer @levie x.com/binji_x/status… x.com/nikunj/status/… x.com/ashleymayer/st… x.com/levie/status/1…

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If by 'memory' we mean a user controlled Vector DB (canister smart contract) that interacts with AI for RAG.. Building this at @kinic_app . Users can delete, add, modify their data at any time. Moreover the data is encrypted e2e. For private inference you can run models locally.... also looking to add in an @AskVenice API connection. The soon to be released Chrome extension will let you query bookmarks, emails, and many other things you would never want to give to big tech. We are also fairly far along at having a zkML plugin for 'certain features' with a sum-check and lookup centric modified version of the great @a16zcrypto JOLT zkVM. Also piggy-backing on years of R&D from @dfinity for vetKeys and wasm based smart contracts that can hold a tamperproof & user owned datastore. 🙏

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Most engaged tweets of Wyatt Benno

User-controlled portable AI memory — "Plaid for AI" 🧠 This is actually a perfect use case for blockchain + ZKP + user-controlled private keys + smart contracts. Let me share what we've already built 🧵 1/ WASM Vector DB + Browser-Based Memory My team built a WASM-based vector DB that deploys out-of-the-box to WASM blockchains (@dfinity) and can already be used — right now with most EVM as we have a proof zkVM composer for @ethereum. Keys secured via WebAuthn biometrics. ✅ Absorb any website/email for research ✅ You own your memory datastore — delete/update anytime ✅ BERT vectorization runs in-browser ✅ Portable vector format works with any LLM Bring your context everywhere you go. Released Monday 6-23-2025 @kinic_app — already seeing amazing adoption 🚀 Chrome Store: chromewebstore.google.com/detail/Kinic/m… 2/ zkML + Cryptographic Proofs We specialize in memory-efficient ZKP with state-of-the-art zkML via modified JOLT prover from @a16zcrypto . This is the first specialized prover on @NovaNet_zkp - our maths based prover network (NIVC DeSCI) Lookups + sumcheck = perfect for ML workloads. The vision: My AI triggers smart contracts with ZKP. Your AI interacts with mine via cryptographic proofs — zero trust needed. The better we get at this the more ML we can support; we are getting good fast. 3/ Privacy-First zkVM Our WASM zkVM uses folding schemes with proof composition to ETH+ (building on @PrivacyScaling work 🙏). Key differentiator: Folding schemes support privacy multi-folding and best in class aggregation. Most other zkVMs don't support privacy at all and have a hard time with recursion. The Full Stack: WASM Vector DB → Memory-efficient ZKP → Fast zkML (modified JOLT) → On-chain verification → User-controlled AI datastore → Privacy and aggregation via folding scheme. Guess what we're up to next? 😉 Some more on why this is important from: @binji_x @nikunj @ashleymayer @levie x.com/binji_x/status… x.com/nikunj/status/… x.com/ashleymayer/st… x.com/levie/status/1…

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