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Will AI outsmart human intelligence? - with 'Godfather of AI' Geoffrey Hinton

The Royal Institution · lecture · Watch on YouTube

Machine learning & deep learningAI safety, AGI & impactLLMs & generative AI

What it is

Geoffrey Hinton's 2025 Royal Institution Discourse on what AI has learned from biological intelligence and how it might surpass it. He explains neural networks and argues that human language use resembles what backpropagation-trained networks do.

Why Hacker News recommends it

HN readers recommend it as an intuitive explanation of neural networks that shifts how people think about AI and language.

  • 3 people recommended it
  • 3 different months
  • 1 strong recommendations
  • first 2025, last 2025

What HN commenters said

  1. “Geoffrey Hinton's recent lecture at the Royal Institute[1] is a fascinating watch.”

    Hinton argues human language use is analogous to backpropagation-trained neural networks.

    j1mr10rd4n, 2025-11 · Strong recommendation · in “The Case That A.I. Is Thinking”

  2. “his intuitive explanations helped shift my views somewhat as well.”

    Hinton's intuitive explanations shifted the commenter's views despite some disagreement.

    calf, 2025-08 · Recommendation · in “Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens”

  3. “watching Hinton explain AI and neural networks at the mo.”

    Hinton explaining AI and neural networks, interesting.

    tim333, 2025-10 · Recommendation · in “YouTube Just Ate TV. It's Only Getting Started”

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

Topics: geoffrey hinton, neural networks, backpropagation, ai risk, language models

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