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Geoffrey Hinton in conversation with Fei-Fei Li — Responsible AI development

Arts & Science - University of Toronto · 226.1K views · 2024-02-23 · 1:48:12

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Overview

A 2023 University of Toronto conversation between Geoffrey Hinton and Fei-Fei Li on responsible AI development. They look back at the history of deep learning and ImageNet and discuss the ethics and risks of AI.

On Hacker News

HN recommends it for Hinton's research history and the two pioneers reflecting on a decade of progress.

Recommended by 2 HN people across 2 months · HN mentions 2024–2024

Topics

AI safety, AGI & impactMachine learning & deep learning
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geoffrey hintonfei-fei lideep learningimagenetresponsible ai

What people said

throw0101b · 2024-11 · Recommendation

See "Geoffrey Hinton in conversation with Fei-Fei Li" where the two got together and looked back at the developments over the last ~10 years, including why and how they did their part: * [VIDEO]

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throw0101d · 2024-03 · Recommendation

This 'conversation' with Geoffrey Hinton and Fei-Fei Li goes over a lot of the history of things (1h50m): * [VIDEO] * [LINK] ('mirror') Goes over Hinton's history and why he went the direction he did with his research, as well as Li's efforts with ImageNet.

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trott · 2024-06 · Reference

François Chollet says LLMs do not learn in-context. But Geoff Hinton says LLMs' few-shot learning compares quite favorably with people! [VIDEO] The truth is in the middle, I think. They learn in-context, but not as well as humans. The approach in the article hides the unreliability of current LLMs by generating thousands of programs, and still the results aren't human-level. (This is impressive work though -- I'm not criticizing it.)

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Sources

Video by Arts & Science - University of Toronto, played through YouTube.

Data and selection notes

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