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Eric Jang: The $10K AlphaGo Rebuild That Exposes AI's Mathematical Trap

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By Dwarkesh Patel, Jang’s project arrives, Jang argues
| BigGo
Eric Jang, the former VP of AI at 1X Technologies and a veteran of Google DeepMind, spent his sabbatical doing what no one else in AI leadership seems to have time for: he rebuilt AlphaGo from scratch for under $10,000. His conclusion, delivered on the Dwarkesh Podcast, is both profound and deeply inconvenient for the industry: the algorithms that taught a machine to master Go are fundamentally more efficient than the trail-and-error math powering today’s large language models.
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