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Explore how AI is evolving from prediction to invention in this conference talk that introduces superintelligent discovery engines built on multi-agent swarms. Learn about diverse AI agents that interact, compete, and cooperate to generate structured novelty, moving beyond interpolation within known data to true scientific discovery. Discover how these systems create gradients of difference—similar to temperature gradients in thermodynamics—that sustain flow, invention, and surprise, guided by Gödel's insight that no closed system is complete. Examine case studies in protein design and music composition that demonstrate how AI swarms escape data biases, invent novel structures, and weave long-range coherence to produce creativity rivaling human processes. Understand the transition from "big data" to "big insight" and how these systems point toward a new era of AI that composes knowledge across science, engineering, and the arts, fundamentally changing how we approach scientific discovery and creative problem-solving.
