Geoffrey Hinton

[Airicist2]

"Godfather of artificial intelligence" talks impact and potential of new AI"
Geoffrey Hinton is considered a godfather of artificial intelligence, having championed machine learning decades before it became mainstream. As chatbots like ChatGPT brings his work to widespread attention, Brook Silva-Braga spoke to Hinton about the past, present and future of AI.

March 25, 2023

[Airicist2]

This Canadian genius created modern AI

Jun 25, 2018

For nearly 40 years, Geoff Hinton has been trying to get computers to learn like people do, a quest almost everyone thought was crazy or at least hopeless - right up until the moment it revolutionized the field. In this Hello World video, Bloomberg Businessweek's Ashlee Vance meets the Godfather of AI.

[Airicist2]

Article "‘The Godfather of A.I.’ Leaves Google and Warns of Danger Ahead"
For half a century, Geoffrey Hinton nurtured the technology at the heart of chatbots like ChatGPT. Now he worries it will cause serious harm.

by Cade Metz
May 1, 2023

[Airicist2]

S3 E9 Geoff Hinton, the "Godfather of AI", quits Google to warn of AI risks (Host: Pieter Abbeel)

May 10, 2023

S3 E9 Geoff Hinton, the "Godfather of AI", quits Google to warn of AI risks (Host: Pieter Abbeel)

What's in this episode:

00:00:00 Geoffrey Hinton
00:01:46 Sponsors: Index Ventures and Weights and Biases
00:02:45 Backpropagation on digital computers might be better than whatever the brain has
00:06:30 Will the AI take over control from humans?
00:10:10 Predictive AI vs. Goal-Oriented AI
00:13:34 AI smarter than people
00:16:55 Risks of AI
00:19:35 Let's not forget about the tremendous good AI will do
00:22:44 Letter for a 6-month stop to larger AI model development
00:26:28 Role of regulation
00:32:45 The existential threat of AI taking control
00:36:06 AI as the benevolent super-capable “United Nations” advisor to humanity
00:40:03 What would happen if the AI did take control?
00:41:44 Fusing human and artificial intelligence / Neuralink
00:44:00 Assuming AI will take over, is there room to steer how life will be then
00:47:05 The bottom line: the purpose of life
00:54:00 Technical opportunities to contribute towards a good AI-powered future
00:56:18 What are you going to do now?

[Airicist2]

The Godfather in Conversation: Why Geoffrey Hinton is worried about the future of AI

Jun 22, 2023

Geoffrey Hinton, known to many as the “Godfather of AI,” recently made headlines around the world after leaving his job at Google to speak more freely about the risks posed by unchecked development of artificial intelligence, including popular tools like ChatGPT and Google’s PaLM.

Why does he believe digital intelligence could hold an advantage over biological intelligence? How did he suddenly arrive at this conclusion after a lifetime of work in the field? Most importantly, what – if anything – can be done to safeguard the future of humanity? The University of Toronto University Professor Emeritus addresses these questions and more in The Godfather in Conversation.

00:00 Intro
01:03 Digital intelligence
02:27 Biological intelligence
03:47 Why worry?
04:39 Machine learning
07:07 Neural Nets
13:22 Neural nets and language
17:18 Challenges
18:49 Breakthrough moment
20:41 AlexNet
24:35 Pace of Innovation
26:04 ChatGPT
27:46 Public Reaction
29:49 Benefits for society
33:25 Pace of innovation
35:48 Sudden realization
37:13 Role of government
40:08 Big tech
42:32 Advice to researchers
43:50 Understanding risk
45:20 What’s next?

"Godfather of AI" Geoffrey Hinton: The 60 minutes interview

Oct 9, 2023

There’s no guaranteed path to safety as artificial intelligence advances, Geoffrey Hinton, AI pioneer, warns. He shares his thoughts on AI’s benefits and dangers with Scott Pelley.

[Airicist2]

Article "Why the Godfather of A.I. Fears What He’s Built"
Geoffrey Hinton has spent a lifetime teaching computers to learn. Now he worries that artificial brains are better than ours.

by Joshua Rothman
November 13, 2023

[Airicist2]

AI could be smarter than people in 20 years, says 'godfather of AI' | Spotlight

Feb 8, 2024

Geoffrey Hinton has been described as the 'godfather of AI.' But where the artificial intelligence pioneer was once optimistic, he now warns of its dangers. He spoke with Canada Tonight's Travis Dhanraj about the future of tech.

[Airicist2]

Geoffrey Hinton | Will digital intelligence replace biological intelligence?

Feb 2, 2024

The Schwartz Reisman Institute for Technology and Society and the Department of Computer Science at the University of Toronto, in collaboration with the Vector Institute for Artificial Intelligence and the Cosmic Future Initiative at the Faculty of Arts & Science, present Geoffrey Hinton on October 27, 2023, at the University of Toronto.

0:00:00 - 0:07:20 Opening remarks and introduction
0:07:21 - 0:08:43 Overview
0:08:44 - 0:20:08 Two different ways to do computation
0:20:09 - 0:30:11 Do large language models really understand what they are saying?
0:30:12 - 0:49:50 The first neural net language model and how it works
0:49:51 - 0:57:24 Will we be able to control super-intelligence once it surpasses our intelligence?
0:57:25 - 1:03:18 Does digital intelligence have subjective experience?
1:03:19 - 1:55:36 Q&A
1:55:37 - 1:58:37 Closing remarks

Talk title: “Will digital intelligence replace biological intelligence?”

Abstract: Digital computers were designed to allow a person to tell them exactly what to do. They require high energy and precise fabrication, but in return they allow exactly the same model to be run on physically different pieces of hardware, which makes the model immortal. For computers that learn what to do, we could abandon the fundamental principle that the software should be separable from the hardware and mimic biology by using very low power analog computation that makes use of the idiosynchratic properties of a particular piece of hardware. This requires a learning algorithm that can make use of the analog properties without having a good model of those properties. Using the idiosynchratic analog properties of the hardware makes the computation mortal. When the hardware dies, so does the learned knowledge. The knowledge can be transferred to a younger analog computer by getting the younger computer to mimic the outputs of the older one but education is a slow and painful process. By contrast, digital computation makes it possible to run many copies of exactly the same model on different pieces of hardware. Thousands of identical digital agents can look at thousands of different datasets and share what they have learned very efficiently by averaging their weight changes. That is why chatbots like GPT-4 and Gemini can learn thousands of times more than any one person. Also, digital computation can use the backpropagation learning procedure which scales much better than any procedure yet found for analog hardware. This leads me to believe that large-scale digital computation is probably far better at acquiring knowledge than biological computation and may soon be much more intelligent than us. The fact that digital intelligences are immortal and did not evolve should make them less susceptible to religion and wars, but if a digital super-intelligence ever wanted to take control it is unlikely that we could stop it, so the most urgent research question in AI is how to ensure that they never want to take control.

About Geoffrey Hinton

Geoffrey Hinton received his PhD in artificial intelligence from Edinburgh in 1978. After five years as a faculty member at Carnegie Mellon he became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto, where he is now an emeritus professor. In 2013, Google acquired Hinton’s neural networks startup, DNN research, which developed out of his research at U of T. Subsequently, Hinton was a Vice President and Engineering Fellow at Google until 2023. He is a founder of the Vector Institute for Artificial Intelligence where he continues to serve as Chief Scientific Adviser.

Hinton was one of the researchers who introduced the backpropagation algorithm and the first to use backpropagation for learning word embeddings. His other contributions to neural network research include Boltzmann machines, distributed representations, time-delay neural nets, mixtures of experts, variational learning and deep learning. His research group in Toronto made major breakthroughs in deep learning that revolutionized speech recognition and object classification. Hinton is among the most widely cited computer scientists in the world.

Hinton is a fellow of the UK Royal Society, the Royal Society of Canada, the Association for the Advancement of Artificial Intelligence, and a foreign member of the US National Academy of Engineering and the American Academy of Arts and Sciences. His awards include the David E. Rumelhart Prize, the IJCAI Award for Research Excellence, the Killam Prize for Engineering, the IEEE Frank Rosenblatt Medal, the NSERC Herzberg Gold Medal, the IEEE James Clerk Maxwell Gold Medal, the NEC C&C Award, the BBVA Award, the Honda Prize, and most notably the ACM A.M. Turing Award.

[Airicist2]

Prof. Geoffrey Hinton - "Will digital intelligence replace biological intelligence?" Romanes Lecture

Feb 29, 2024

Professor Geoffrey Hinton, CC, FRS, FRSC, the ‘Godfather of AI’, delivered Oxford's annual Romanes Lecture at the Sheldonian Theatre on Monday, 19 February 2024.

The public lecture entitled ‘Will digital intelligence replace biological intelligence?’ discussed the dangers of artificial intelligence (AI) and how to ensure it does not take control of humans, and consequently, wipe out humanity. He said that the fact that digital intelligence is immortal and does not evolve should make it less susceptible to religion and wars, but ‘if a digital super-intelligence ever wanted to take control it is unlikely that we could stop it,’ he added.

The British-Canadian computer scientist and cognitive psychologist also spoke of how AI could replace humans in the workforce and how it could be used to spread misinformation. He had previously believed that it could take AI systems up to a century to become ‘super intelligent’. He now thinks that it could happen much sooner than he had anticipated.