S6 E402 Geoffrey E Hinton, The Nobel Prize in Physics 2024; The 'Godfather of AI and Deep Learning'
00:20- About Geoffrey E Hinton
00:57- What were the key turning points in your career?
05:35- Did your ability to think outside the box come from your family, mentors, or colleagues?
07:53- Did you struggle to get published early in your career?
10:21- Did you face challenges convincing them?
11:15- How did you start working with Alex and Ilya on the research that led to AlexNet?
12:55- What drew you to this challenge, and how did the journey unfold?
17:16- When did you and your students start using Al Jensen's GPUs?
19:54- When did Jensen's colleagues recognize your work?
21:53- What was the collaboration between you and Jeff Dean at Google?
23:32- Do your early pioneers like the listener and Andrew get together for private gatherings?
24:36- What do you think about the future of neural networks and AI advancements?
27:11- How have you looked at some of these alternative systems? Do you look at them at all?
30:00- Can you tell us about your talks after you won the Nobel Prize?
31:44- What would the future look like if we can't come up with something?
32:24- What is the speaker questioning about intelligence and perception?
33:56- What is the speaker questioning about the timeline of AI development?
34:30- Can you tell us about AI's progress in music creation and AGI benchmarks?
35:31- What is the speaker questioning about the creation of ARC?
40:50- Isn’t this quite fascinating that this work that dates back decades, decades and decades, is ultimately proving itself out right?
42:20- What is the status of your work today?
45:33- Can you tell us about DeepSeek 3's computing power and open-source release?
48:17- Do you still attend conferences and read papers?
48:49- Do you still keep in touch with Ilia periodically?
50:11- What areas would you like to explore further?
52:35- Have you explored sparse autoencoders and neuropedia?
54:26- What final recommendations or questions do you have for the audience?
56:57- What areas of research would you focus on if starting at 26 today?
58:45- Can you suggest the number of neural connections in the human body?
Geoffrey Hinton, a visionary in AI, defied skepticism and transformed machine learning. From early inspiration to winning the Nobel Prize in Physics, his journey is a testament to persistence, brilliance, and thinking outside the box.
About Geoffrey E Hinton -
- Geoffrey Everest Hinton is a British-Canadian computer scientist, cognitive scientist, cand ognitive psychologist.
- He was a Nobel prize winner in Physics, known for his work on artificial neural networks which earned him the title of the "Godfather of AI".
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Josh: http://bit.ly/3WWP0nB
Thanks for listening!
#AI #MachineLearning #DeepLearning #NeuralNetworks #GeoffreyHinton #NobelPrize #TechRevolution #Innovation #ComputerScience #FutureOfAI
00:20- About Geoffrey E Hinton
00:57- What were the key turning points in your career?
05:35- Did your ability to think outside the box come from your family, mentors, or colleagues?
07:53- Did you struggle to get published early in your career?
10:21- Did you face challenges convincing them?
11:15- How did you start working with Alex and Ilya on the research that led to AlexNet?
12:55- What drew you to this challenge, and how did the journey unfold?
17:16- When did you and your students start using Al Jensen's GPUs?
19:54- When did Jensen's colleagues recognize your work?
21:53- What was the collaboration between you and Jeff Dean at Google?
23:32- Do your early pioneers like the listener and Andrew get together for private gatherings?
24:36- What do you think about the future of neural networks and AI advancements?
27:11- How have you looked at some of these alternative systems? Do you look at them at all?
30:00- Can you tell us about your talks after you won the Nobel Prize?
31:44- What would the future look like if we can't come up with something?
32:24- What is the speaker questioning about intelligence and perception?
33:56- What is the speaker questioning about the timeline of AI development?
34:30- Can you tell us about AI's progress in music creation and AGI benchmarks?
35:31- What is the speaker questioning about the creation of ARC?
40:50- Isn’t this quite fascinating that this work that dates back decades, decades and decades, is ultimately proving itself out right?
42:20- What is the status of your work today?
45:33- Can you tell us about DeepSeek 3's computing power and open-source release?
48:17- Do you still attend conferences and read papers?
48:49- Do you still keep in touch with Ilia periodically?
50:11- What areas would you like to explore further?
52:35- Have you explored sparse autoencoders and neuropedia?
54:26- What final recommendations or questions do you have for the audience?
56:57- What areas of research would you focus on if starting at 26 today?
58:45- Can you suggest the number of neural connections in the human body?
Geoffrey Hinton, a visionary in AI, defied skepticism and transformed machine learning. From early inspiration to winning the Nobel Prize in Physics, his journey is a testament to persistence, brilliance, and thinking outside the box.
About Geoffrey E Hinton -
- Geoffrey Everest Hinton is a British-Canadian computer scientist, cognitive scientist, cand ognitive psychologist.
- He was a Nobel prize winner in Physics, known for his work on artificial neural networks which earned him the title of the "Godfather of AI".
Enjoyed this podcast?
If you learned new insights about Neural Networks, subscribe and share it with friends!
Love to give us 5 stars? ⭐⭐⭐⭐⭐ If you do, we'd love a review from you. Help us reach more people to keep them in the know as we talk to leaders, high achievers, and thought leaders from diverse backgrounds and nationalities. Excellence can come from anywhere; stay in the know, and hear from emergent high achievers and gurus.
Stay updated with what’s shaping the world today through the latest The Brand Called You Podcast episode. Follow us on iTunes, Spotify, and Anchor.fm.
You can find us at:
Website: www.tbcy.in
Instagram: http://bit.ly/3HO7N06
Facebook:http://bit.ly/3YzJOaD
Twitter: http://bit.ly/3wMBOXK
LinkedIn: https://www.linkedin.com/company/tbcy/
YouTube: http://bit.ly/3jmBqfq
Chingari: https://chingari.io/tbcypodcast
Moj:http://bit.ly/3wOrmPv
Josh: http://bit.ly/3WWP0nB
Thanks for listening!
#AI #MachineLearning #DeepLearning #NeuralNetworks #GeoffreyHinton #NobelPrize #TechRevolution #Innovation #ComputerScience #FutureOfAI
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