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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
#145 Riley McComrack: Digimarc's CEO on Digital Watermarking in the Age of AI
#144 Matt Hicks: Red Hat’s CEO on Open Source, Linux, and the AI Revolution
#143 Scott Aaronson: Revealing the Truth About Quantum Computing
#142 Arjun Subramonian: The Intersection of AI, Diversity, and Ethics
#141 Peter Voss Reveals the Future of Artificial General Intelligence
#140 Isabelle Guyon: The Future of AI and Support Vector Machines
#139 Dmitry Shapiro: Breaking Barriers with No Code AI
#138 Dan O'Connell: How AI is Disrupting Business Communications
#137 Raul Martynek: How AI Will Change Data Centers Forever
#135 Diaa El All: How AI Could Change Music Forever
#134 Alex Zhavoronkov: Unraveling AI's Crucial Role in Pharma
#133 Michael Jordan: How Deep Learning Has Completely Changed Industries
#132 Scott Downes: Navigating the Language of AI & Large Language Models
#131 Andrew Ng: Exploring Artificial Intelligence’s Potential & Threats
#130 Mathew Lodge: The Future of Large Language Models in AI
#129 Alexandra Geese: Demystifying AI Regulations in Europe & Beyond
#128 Yoshua Bengio: Dissecting The Extinction Threat of AI
#127 Clemens Mewald: Redefining the Boundaries of Artificial Intelligence & GPT-4
#126 Noam Chomsky: Decoding the Human Mind & Neural Nets
#125 Pascal Weinberger: Harnessing the Power of Generative AI for Creativity & Productivity
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