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Join host Craig Smith in episode #178 of Eye on AI for an enlightening conversation with Terry Sejnowski, President of the NeurIPS Foundation and is the Francis Crick Professor at the Salk Institute for Biological Studies where he directs the Computational Neurobiology Laboratory
In this episode, Terry shares his unique insights into the evolution of neural networks, the monumental impact of models like GPT-4, and the intricate relationship between AI technologies and societal norms. Learn about the future trajectory of AI development, as Terry highlights the importance of integrating human brain development aspects into AI to foster models that better understand and integrate into human culture.
Discover Terry's perspective on the role of reinforcement learning in AI, the challenges of aligning AI with ethical considerations, and the potential of neuromorphic engineering to revolutionize energy-efficient computing. This discussion also touches on the implications of AI in reshaping industries, science, and the global workforce.
An essential listen for those fascinated by the ethical dimensions of AI, the potential of neuroscience to inform AI development, and the broader societal impacts of technological advancement.
If you're drawn to the complexities of AI and its potential to redefine our future, don't forget to rate us on Apple Podcast and Spotify.
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(00:00) Introduction to Terry Sejnowski
(01:54) Bridging Computational Neuroscience with AI Development
(05:24) Biological Principles in AI: Learning and Adaptation
(07:07) The Crucial Role of Reinforcement Learning in AI
(10:12) Breakthroughs in AI: Scaling Models and Language Processing
(13:38) The Rapid Pace of AI Evolution: Implications and "AI Time"
(16:58) Ethical Considerations and AI Alignment Challenges
(20:23) Neuromorphic Engineering and Energy Efficiency
(25:42) Real-world Applications: AI's Expanding Role in Society
(29:04) The Developmental Approach: Training AI with Human Nuances
(33:32) The Impact of AI on Science and Discovery
(40:19) AI Education and Lifelong Learning: Overcoming Barriers
(43:20) MOOCs and the Democratization of Learning in the AI Era
(47:08) Balancing Innovation and Safety in the Accelerating AI Landscape
Episode 23 - AutoML with Determined AI
Episode 22 - Brendan McCord
Episode 20 - John Platt
Episode 19 - Chelsea Finn
Episode 18 - Partha Talukdar
Episode 17 - Yann Lecun
Episode 16 - Trae Stephens and Brian Schimpf
Episode 15 - Ken Church
Episode 14 - Sergey Levine
Episode 13 - Pieter Abbeel
Episode 12 - Samy Bengio and Yoshua Bengio
Rich Sutton Edit V5-Norm 01-01
Episode 10 - Pedro Domingos
Episode 9 - Liang Huang
Episode 8 - Bernhard Schölkopf & Matthias Bethge
Episode 7 - Ben Rosman
Episode 6 - Julian Togelius
Episode 5 - Miles Brundage
Episode 4 - Kaifu Lee
Episode 3 - Misha Bilenko
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