Data privacy in AI is becoming a critical issue. Current systems require exposing data for AI to learn from it, creating risks for sensitive information. @nillionnetwork released their 2025 roadmap to build "blind computing" infra where AI can process data without actually seeing it. + Phase 0 (Q2): They focused on distributed storage with encryption that allowed private LLM queries + Phase 1 (Q3): AI models can perform calculations on private data while maintaining auditability (@Tickrdotapp already out, more infra products are underway) + Phase 2 (Q4): Dev tools & interfaces to accelerate adoption We all know by using @nillionnetwork, AI systems can learn patterns & provide insights without accessing raw information. > ZK coprocessing technology expands capabilities for AI/ML operations > Creates infra for private machine learning at scale > Combines AI processing + decentralization principles This addresses growing concerns about data exposure in AI training. As models become more powerful, protecting sensitive information while maintaining AI functionality becomes essential. @nillionnetwork will become more important.