Brevis @brevis_zk's on-chain verification is seriously impressive. I deposited 1500U in musd, and after 7 days, my mindshare increased by 1.25X, plus my 30D ranking jumped several spots. If you're looking to dive deeper into Brevis, I highly recommend giving it a try. Just swap over 1000U musd directly on Linea, and you're good to go. Recently, Brevis @brevis_zk teamed up with the Open User Data Network Vana to propose constructive solutions for large-scale private data acquisition in AI training data: ▰ Why large-scale private data is needed Verified enterprise datasets, financial transaction histories, app usage logs, and user-generated insights are of higher quality than public datasets and provide richer contextual information. ▰ Three major challenges in large-scale private data acquisition ⨠ Users need fair compensation for contributing their data. ⨠ Users must have control over the information they disclose. For example, proving transaction volume shouldn't require revealing every single transaction. ⨠ Developers must be able to verify data sources and computation accuracy without accessing raw data. ▰ Brevis and Vana's collaborative workflow → zkTLS proves data sources through encryption technology. → Users perform computations locally on verified data. → Pico zkVM generates proofs of correct computation. → Only final metrics and proofs are revealed. → Vana handles consent coordination and reward distribution. ▰ What this enables ✅ AI-powered healthcare solutions that leverage verified symptom correlations without exposing patient identities. ✅ Fraud detection trained on cryptographically verified behavioral patterns. ✅ Recommendation systems based on certified usage data with selective disclosure.