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Full interview: "Godfather of artificial intelligence" talks impact and potential of AI

CBS Mornings · 2M views · 2023-03-25 · 42:30

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Overview

A 42-minute CBS interview with Geoffrey Hinton at the Vector Institute in 2023, covering the history of neural networks and the present and future of AI. He discusses AGI timelines and whether language models truly understand.

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Recommended as a more nuanced look at Hinton's views than headlines, especially his argument that LLMs are more than auto-complete.

Recommended by 3 HN people across 2 months · HN mentions 2023–2023

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What people said

tpowell · 2023-05 · Recommendation

Yesterday, I randomly watched his full interview from a month ago with CBS Morning, and found the discussion much more nuanced than today's headlines. [VIDEO] The next video in my recommendations was more dire, but equally as interesting: [LINK]

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stareatgoats · 2023-05 · Recommendation

No, we're past that point. it's no longer the most useful way to describe these things, we need to understand that they already have some sort of "understanding" which is very similar if not equal to what we understand by understanding. Don't take my word for it, listen to Geoffrey Hinton explain it instead: [VIDEO]

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lhl · 2023-04 · Recommendation

If you (or anyone else is) interested in the topic, I'd highly recommend giving some of these a look: Bubeck, Sébastien, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, et al. “Sparks of Artificial General Intelligence: Early Experiments with GPT-4.” arXiv, March 27, 2023. [LINK] . or watching Sebastien Bubeck's recent talk he gave describing what GPT-4 can do that previous LLMs couldn't: [LINK] Geoffrey Hinton recently gave a very interesting interview and he specifically wanted to address the "auto-complete" topic: [VIDEO] Here's another way that Ilya Sutskever recently described it (comparing GPT 4 to 3): [LINK] I'd also recommend this recent Sam Bowman article that does a goood job reviewing some of the surprising recent developments/properties of the current crop of LLMs that's pretty fascinating: Bowman, Samuel R. “Eight Things to Know about Large Language Models.” arXiv, April 2, 2023. [LINK] .

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Video by CBS Mornings, played through YouTube.

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