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Opinion & interviews · curated entry

Hinton's Nobel lecture, from backpropagation to warning

Geoffrey Hinton Nobel Lecture

Date
December 7, 2024
Category
Opinion & interviews
Organization / Model
University of Toronto
Evidence
1 source · 1 evidence family

After receiving the physics prize for artificial neural networks, Hinton traced backpropagation and deep learning in his lecture and repeated his concerns about loss of control and the compute race. It was his most systematic public statement since leaving Google.

Curator's note: Cross-checked against the lecture page on the official Nobel Prize site.

Curated sources · 1

  1. Official announcement · Nobel Prize2024-12-07

    Geoffrey Hinton Nobel Lecture

    nobelprize.org

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This page is a curated static snapshot and can be cited directly. Preferred format GB/T 7714—2025 (electronic resource [EB/OL]); the other 5 styles open below, together with the machine-readable files.

GB/T 7714—2025 (electronic resource [EB/OL])

AI 纪年. Hinton 诺贝尔讲座:从反向传播到对 AI 风险的公开警告[EB/OL]. (2024-12-07)[2026-11-03]. https://aihist.net/e/hinton-nobel-lecture-2024.html.

APA 7 · American Psychological Association

AI 纪年. (2024, December 7). Hinton 诺贝尔讲座:从反向传播到对 AI 风险的公开警告 [Web page]. https://aihist.net/e/hinton-nobel-lecture-2024.html

MLA 9 · Modern Language Association

"Hinton 诺贝尔讲座:从反向传播到对 AI 风险的公开警告." AI 纪年, 7 Dec. 2024, aihist.net/e/hinton-nobel-lecture-2024.html. Accessed 3 Nov. 2026.

Chicago 17 · notes-bibliography

AI 纪年. "Hinton 诺贝尔讲座:从反向传播到对 AI 风险的公开警告." Published Dec. 7, 2024. Accessed Nov. 3, 2026. https://aihist.net/e/hinton-nobel-lecture-2024.html.

IEEE · citation-reference list

"Hinton 诺贝尔讲座:从反向传播到对 AI 风险的公开警告," AI 纪年, 7 Dec. 2024. [Online]. Available: https://aihist.net/e/hinton-nobel-lecture-2024.html. [Accessed: 3 Nov. 2026].

ACM · author-date variant

AI 纪年. December 7, 2024. Hinton 诺贝尔讲座:从反向传播到对 AI 风险的公开警告. Retrieved November 3, 2026 from https://aihist.net/e/hinton-nobel-lecture-2024.html.

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