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

Arts & Science - University of Toronto · interview · Watch on YouTube

AI safety, AGI & impactMachine learning & deep learning

What it is

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.

Why Hacker News recommends it

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

  • 2 people recommended it
  • 2 different months
  • 0 strong recommendations
  • first 2024, last 2024

What HN commenters said

  1. “Goes over Hinton's history and why he went the direction he did with his research”

    Covers Hinton's research history and Li's ImageNet work.

    throw0101d, 2024-03 · Recommendation · in “The Google employees who created transformers”

  2. “looked back at the developments over the last ~10 years”

    Hinton and Li look back at a decade of developments.

    throw0101b, 2024-11 · Recommendation · in “A stubborn computer scientist accidentally launched the deep learning boom”

Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.

Topics: geoffrey hinton, fei-fei li, deep learning, imagenet, responsible ai

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