THE VIDEO SHELF · AI and neural networks
Will AI outsmart human intelligence? - with 'Godfather of AI' Geoffrey Hinton
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 HN readers recommended it
HN readers recommend it as an intuitive explanation of neural networks that shifts how people think about AI and language.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- The Royal Institution
- Topic
- AI and neural networks
- Format
- lecture
- Level
- general
- HN recommenders in dataset
- 3
- HN mentions in dataset
- 3
- Recommendation years in dataset
- 2025–2025
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
Geoffrey Hinton's recent lecture at the Royal Institute[1] is a fascinating watch. His assertion that human use of language being exactly analogous to neural networks with back-propagation really made me think about what LLMs might be able to do, and indeed, what happens in me …
j1mr10rd4n on Hacker News · 2025-11
In The Case That A.I. Is ThinkingIt was a Royal Institution public lecture, "Will AI outsmart human intelligence? - with 'Godfather of AI' Geoffrey Hinton", [VIDEO] Ultimately I somehwat disagreed with some of Hintons points in this talk, and after some thought I came up with specific reasons/doubts, and yet at …
calf on Hacker News · 2025-08
In Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution LensI muck about on HN and get ~80% of my video content on youtube. I think it's great overall. The rest ~5% twitter, 0% TV although I have one sitting switched off with a £174 bbc fee. 5% pirated maybe. If you go with the …
tim333 on Hacker News · 2025-10
In YouTube Just Ate TV. It's Only Getting Started
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.