DeepMind published a historic paper in Nature introducing AlphaGo Zero. Unlike previous iterations that trained on millions of human master games, AlphaGo Zero started from complete randomness, learning entirely by playing against itself. Within three days of reinforcement learning, it defeated the version that beat Lee Sedol 100-0, proving that an autonomous agent could discover superhuman knowledge without consuming any historical human data.
Part of the 31 AI Roots Facts: 2017 Edition archive. HistoricallyVerified
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Eko-AI Minimalist Visualization: Conceptual visual representation of The Unveiling of AlphaGo Zero. Raw human centric design, solarpunk aesthetic, organic geometric symbiosis, zero-emission digital canvas, high-contrast clean contrast illustration, anti-algorithmic art.