"François Chollet argues that changing neural-network architecture alone cannot resolve the fundamental limitations he identifies in the parametric learning paradigm."
In a March 2026 statement, Chollet distinguishes incremental gains from improved model architectures from the more fundamental changes he believes future AI research will require. His criticism adds a researcher's perspective to the chapter's discussion of why scaling or rearranging implicit models may leave underlying limitations unresolved.
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