Sometimes you have to lose something that means something so that you make room for something much better. There is grief involved but there is eventual joy too. You will look back one day and realise why it happened the way it did. For now trust the process. Good morning y'all

Sometimes you have to lose something that means something so that you make room for something much better. There is grief involved but there is eventual joy too. You will look back one day and realise why it happened the way it did. For now trust the process. Good morning y'all

Growing up in Nigeria, Santa was always “there”... but never seen. 😆 You’d sleep, wake up, and boom gifts. 🎁 No proof. No photos. Just trust. But as we grew older, we learned: It was never really Santa. It was someone we knew, hidden behind the suit. That’s where @billions_ntwk flips the script. In Web3 today, everyone wants to know: “Who is this?” “Can I trust this wallet?” “Is this human or bot?” Billions says: 👉 You don’t need the face. You just need the proof. With zk-powered identity, reputation layers, and privacy-first design: You can prove you’re real. Prove you’re unique. Prove your reputation. Without revealing your name, data, or life story. So this time, unlike Santa: You stay hidden… but your credibility shows up. 🎄 That’s identity without tracking. Trust without exposure. Humans at internet scale. Billions isn’t bringing gifts. It’s bringing verifiable humans to Web3. ⚡ Merry Christmas y'all 🎉🥳

What if your private data could train AI... without ever being exposed? A few years ago, “data is the new oil” sounded smart. Today? It sounds dangerous. Because oil gets drilled. And data? It gets scraped. Your trades. Your habits. Your usage patterns. Your digital life. All feeding models you don’t control, for value you never see. But what if the future of AI isn’t about scraping more… What if it’s about proving more, while revealing less? That’s exactly what @brevis_zk × @vana are building. ⚡️ The real problem nobody talks about AI is hungry. But public data is running out. The next leap in intelligence needs: ✔ private data ✔ high-quality signals ✔ real human behavior But here’s the catch: No one wants to hand over raw data. And no developer wants to train models on unverifiable inputs. So we’re stuck between: privacy vs progress. Until now. Brevis × Vana: ZK-powered data sovereignty Vana is building data collectives — markets where users can contribute data by choice and get rewarded. Brevis brings the missing layer: Zero-knowledge trust. Together, they unlock something powerful: Users keep their raw data. Developers get verified signals. AI gets better inputs. Everyone wins. No scraping. No blind trust. No data leaks. How it actually works (simple version) 1️⃣ zkTLS proves data origin “Yes, this really came from Coinbase / Binance / an app / an API.” 2️⃣ You compute locally On your own device. Your rules. Your data. 3️⃣ Pico zkVM proves correctness Brevis generates a ZK proof that the computation followed the rules — without exposing inputs. 4️⃣ Only the result proof go on-chain Not your raw history. Not your private logs. 5️⃣ Vana coordinates consent & rewards You get paid for verified contributions. So instead of sharing everything, you share provable outcomes. That’s a massive shift. Why this changes ZK’s role completely ZK used to mean: ✔ privacy ✔ scaling ✔ transaction proofs Now it means something bigger: Verifying real-world data workflows. Not just “this tx is valid.” But: ✔ this data is authentic ✔ this computation is correct ✔ this result can be trusted All without revealing what shouldn’t be revealed. ZK becomes infrastructure for AI trust. A simple example An AI wants to know: “Has this user traded over $100k in ETH pairs?” You don’t want to show your full trade history. With @brevis_zk × @vana: → zkTLS proves the source → Pico zkVM proves the calculation → AI gets a verified “yes/no” → Your raw data stays private → You get rewarded That’s privacy and utility. Not vibes. Math. Zoom out: why this matters This isn’t just about AI training. It’s about data sovereignty. A future where: 🔐 Users own their data 🧾 Proof replaces trust 🤖 AI learns from verified signals 💰 Value flows back to contributors No more “give us your data and hope for the best.” Instead: Prove what matters. Keep the rest. That’s a new internet contract. The bigger Brevis picture This fits perfectly with @brevis_zk’s vision: Off-chain compute. On-chain verification. Zero-knowledge as infrastructure. From: zkVM → ProverNet → InfoFi → AI workflows @brevis_zk isn’t just proving blocks. It’s proving behavior, data, and outcomes in the real world. And this Vana partnership shows just how far that can go. CTA If AI is going to shape the future, then trust can’t be optional. It has to be native. And if data is going to power that future, then ownership can’t be symbolic. It has to be real. That’s what Brevis × Vana are pointing toward. Not louder data. Smarter proofs. Not blind sharing. Verifiable sovereignty. The ZK era isn’t just scaling chains anymore. It’s redefining how value, privacy, and intelligence meet. ⚡️ What kind of AI future do you want to live in? 👇

gm builders ☀️ New week. New proofs. New momentum. Most people think ZK is magic. But magic doesn’t scale. Markets do. That’s why @brevis_zk ProverNet matters. ProverNet turns ZK proving into a real marketplace: 🧠 Provers compete on speed & cost 💰 Jobs flow to the best performers 🔐 Stake = credibility ⚡ Proofs become on-demand infrastructure Not "trust me, bro." But: "Here’s the proof. Verify it." This is how ZK grows from: a research tool → to cloud compute for proofs. Just like AWS made servers accessible, ProverNet is making ZK computation composable for every builder. Build apps. Call proofs. Pay for results. No need to run your own proving farm. No need to be a ZK wizard. That’s Monday energy. Less friction. More building. If ZK is the backbone of the next wave of Web3, then ProverNet is shaping how that backbone gets powered. gm to the future of verifiable compute ⚡️ gm @brevis_zk 🐱 What are you building this week? 👇

Merry Christmas to the @billions_ntwk family 🎄 this year has been a reminder that communities aren’t built by noise… they’re built by people who show up, share ideas, challenge each other, and keep building even when no one’s watching. being part of the Billions community has genuinely shaped how I think, how I write, and how I show up on CT. from the team pushing privacy-first identity forward, to builders exploring zero-knowledge and trust infrastructure, to the friends I’ve met along the way… this network has felt real in a space that often isn’t. what stands out most is the values. Human-first. Privacy by default. Accountability without overexposure. those ideas matter far beyond crypto, and it’s inspiring to see them turned into real infrastructure. grateful for the Billions team for building with intention. grateful for the community for making it welcoming, curious, and sharp. grateful for the conversations, the learning, and the quiet growth. wishing everyone a peaceful Christmas with the people who matter most. here’s to more trust, more clarity, and more meaningful building in the year ahead. 🎄🤍

Brevis boxing morning Zkats It's funny how most people think scaling Ethereum means more hardware. More nodes. More re-execution. More noise. 🤔 But what if the future isn’t doing more work… What if it’s proving the work once? That’s exactly what @brevis_zk’s Pico Prism zkVM is about. ⚡️ Pico Prism isn’t just another zkVM. It’s a statement: “Stop redoing everything. Start verifying.” Today, every validator re-executes every transaction in a block. Same math. Same results. Over and over again. Redundant. Expensive. And honestly… outdated. Pico Prism flips that model. One powerful prover generates a zero-knowledge proof that an Ethereum block is valid. Everyone else? They just verify the proof. Seconds. Not minutes. No heavy compute. No trust. Just math. And the numbers? They’re wild. • ~99.6% of Ethereum blocks proven under 12s • ~96.8% under 10s (real-time territory) • ~6.9s average proof time • ~50% lower GPU cost than previous systems That’s not a lab demo. That’s real Ethereum blocks at real gas limits. How? Pico Prism is built like a modern data center, not a toy zk setup: → Distributed multi-GPU clusters → Deep parallelization pipelines → Async execution recursion → Modular backends for future upgrades Add more machines → get more throughput. Simple. Scalable. Brutal. What this unlocks is bigger than benchmarks: ⚡ Faster block validation 💸 Cheaper verification 📉 Less hardware pressure on nodes 📱 Path to lighter clients 📈 A network that can actually scale without burning itself out. This is how you move from: “Trust every validator to redo the math” to: “Verify one proof and move on.” From redundancy… to efficiency by design. And zoom out a bit 👇 Pico Prism isn’t isolated. It fits perfectly into Brevis’s bigger vision: Off-chain compute. On-chain verification. Zero-knowledge as infrastructure. The same philosophy that powers Brevis’s zk data coprocessor, ProverNet, and privacy stack is alive here: Unlimited computation. Minimal trust. Verifiable by anyone. If Ethereum’s future is modular, scalable, and proof-driven, then Pico Prism feels less like an experiment… and more like a preview. Not louder blocks. Smarter ones. Not more work. Better proofs. The zk era isn’t coming. With Pico Prism, it’s already clocking in. ⚡️ Any questions?