“Infinite scalability, privacy-by-design, and agent-centric payments.” - @MrLeeCohen, Head of North America at @PsyProtocol Opening Verifying Intelligence 3.0 in Buenos Aires, Lee Cohen outlines how Psy Protocol is meticulously architected for the emerging machine-to-machine economy. The protocol delivers horizontal throughput that has already demonstrated millions of transactions per second internally, with performance increasing as network usage grows. Lee explained how Psy is designed around three pillars: • Zero-Knowledge execution • Proof-of-Useful-Work • Parallel proving architecture (Pursive Tree Ciphers) Users maintain individual state trees, proving transactions locally and publishing only proofs - eliminating exposure of sensitive data. Economic sustainability is maintained through predictable proving costs, enabling real micropayments at scale. Proof-of-Useful-Work replaces wasteful hash competition with collaborative proof consolidation, allowing miners to jointly generate a single zkProof for hundreds of thousands or millions of transactions per block. The result is proof-of-work level security with high-frequency settlement. Lee makes the case that this infrastructure is required to support an agent-centric world where autonomous AI systems transact continuously - potentially millions or billions of interactions per day. Without scalable, private micropayments, the AI economy cannot function. Watch the full keynote to understand how Psy aims to build the settlement layer for autonomous agents and real-time economic coordination: