gBrevis! Page turned. ZK enters 2026.

For those that missed it: a reminder that our partnership with @vana tackles something critical to the future of AI. AI models trained on public data have plateaued. Web scrapes and data broker feeds got us this far, but the next performance leap requires private, high-fidelity data: transaction histories, app usage logs, enterprise records, health data. Problem is, three things block access to private data at scale: 1⃣Incentives: Users need fair compensation for contributing their data. 2⃣Privacy: Users must control what gets revealed. Proving your trading volume shouldn't require exposing every individual trade. 3⃣Verifiability: Developers need to confirm data origin and computation correctness without ever seeing raw data. Vana and Brevis solve all three. Vana runs an open network for user-owned data. Users contribute to Data Collectives in exchange for rewards while retaining ownership. Brevis provides the cryptographic layer: ▶️zkTLS proves data authenticity from any source (banks, exchanges, apps) without exposing the data itself ▶️Pico zkVM computes on that data locally and proves correctness without revealing raw information The result: AI developers get verified, high-fidelity training data. Users get paid. Raw data never leaves user control. Privacy and provenance, finally aligned.