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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

Swyx's thesis for 2025: the biggest gains came not from better models but from better environments — better tooling, better evaluation, better deployment infrastructure.
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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