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Upending assumptions about learning, inspired by an AI phenomenon

The 'double descent' phenomenon in AI shows that extremely complex models can learn better, challenging the long-held psychological assumption that learning requires simplification. A new paper proposes 'excess-capacity learning,' suggesting humans may also learn by memorizing all details, including seemingly irrelevant ones.

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Upending assumptions about learning, inspired by an AI phenomenon
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Key points

  • Double descent in AI reveals that models with extreme complexity, far beyond data size, can achieve best learning performance.
  • A century-old psychological assumption holds that learning must involve simplification and forgetting; the new framework challenges this.
  • Excess-capacity learning involves memorizing every detail and using them for generalization, sometimes outperforming simplification.
  • The paper is published in Behavioral and Brain Sciences, inviting commentaries from experts across multiple disciplines.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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