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Latent Space · December 30, 2025 · 90m

AI in 2025: The Year in Review

Swyx's comprehensive review of 2025 in AI: the rise of reasoning models, the agent explosion, the open-source surge, and the economic realities catching up to the hype.

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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Swyx's thesis for 2025: the biggest gains came not from better models but from better environments — better tooling, better evaluation, better deployment infrastructure.
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Swyx advises AI engineers to focus on controllable skills (system design, evaluation methodology, prompt engineering) rather than trying to predict which model or framework will win.
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