A deep dive into Google's DeepMind chess model that reaches grandmaster level without heavy search. We'll unpack how it learns from millions of games to develop an intuition-like value function, why its unorthodox, creative play can outmaneuver traditional engines, and the quirks and limits of this approach. Plus, what this shift could mean for AI across science, medicine, and beyond.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

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