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Latent Space · May 5, 2023 · 64m
No Moat: Closed AI Gets Its Open Source Wakeup Call ft. Simon Willison
Simon Willison discusses the leaked Google memo 'We Have No Moat' and what open-source AI means for the future of the industry. He argues that open-source models are catching up to closed models faster than anyone expected.
This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.
Canon
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Willison argues that as open-source models approach the capability of closed models, the foundation model itself becomes a commodity. The real value shifts to what you build on top of it: tools, applications, fine-tuning, and deployment infrastructure.
Highlights
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The most important AI engineering skill is not training models but building reliable systems around unreliable models
Willison argues that LLMs are inherently unreliable (they hallucinate, miss edge cases, and behave unpredictably), so the core engineering challenge is building reliable applications around unreliable components. This requires a fundamentally different engineering mindset.Was this useful?