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
Cite this page
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.
All six styles come from one template and can be compared word for word. [引用日期], Accessed, urldate and Y2 all carry this page's build date, 2026-11-03 — a static page is an immutable snapshot, so substitute the date you actually consulted it. The address in every style is the archive's canonical page: this English page translates the same snapshot, and the work keeps its name, so one record cites both. For one-click copying use the same entry in the timeline, which takes the day you opened it. Expand the other styles before printing.