2025 highlights: AI research and code
Read OriginalThis article summarizes the author's 2025 AI research highlights, including work on tabular machine learning (TabICL) and the open-source data-science stack (Skrub, scikit-learn). It details a key publication analyzing the societal and environmental consequences of the 'scale narrative' in AI, discussing trade-offs in compute, data, and economic sustainability.
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