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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 43 - Pietro Perona
Episode 42 - Eric Horvitz
Episode 41 - Gilman Louie
Episode 40 - Jason Matheny
Episode 39 - Katharina McFarland
Episode 38 - Jose-Marie Griffiths
Episode 37 - Andrew Moore
Episode 36 - Vittorio Sebastiano
Episode 35 - Irina Rish
Episode 34 - David Cox
Episode 33 - Justin Gottschlich
Episode 32 - Casimir Wierzynski
Episode 31 - Terry Sejnowski
Episode 30 - The 3 Most Interesting Trends In AI
Episode 29 - Daphne Koller
Episode 28 - Aude Billard
Episode 27 - Eric Schmidt and Robert O. Work
Episode 26 - Labelbox
Episode 25 - Dawn Song
Episode 24 - Climate Change and AI
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