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A deep dive into Google's AlphaEvolve, an AI-powered system that evolves optimization algorithms through seed code, mutation, and fitness-based selection. See how the Gemini-powered coding agent uses fast exploration and deep analysis to yield breakthroughs—recovering 0.7% of global compute by better scheduling, speeding a vital kernel by 23%, and trimming Gemini's training time by 1%—and explore what this meta-learning approach could mean for businesses with proprietary data and previously intractable optimization problems.

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

Sponsored by Embersilk LLC

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