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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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Craig Smith Twitter: https://twitter.com/craigss
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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
#185 Damon Rasheed & Saurabh Jain: Achieving Up to 90% Accuracy in Predicting Drug Clinical Trial Outcomes with Opyl's Trialkey.ai
#184 André van Schaik: Building An Artificial Brain With 100 Billion Neurons
#183 Will Falcon: Lightning Studio, an iOS for AI Developers?
#182 Dragomir Anguelov: The Role of AI and Machine Learning in Waymo's Self-Driving Cars
#181 Nick Bostrom: The Meaning of Life in a World where AI can do Everything for Us
#180 Thomas Lah: Navigating AI Adoption in Tech Businesses
#179 Ylli Bajraktari: AI and National Security - The Race with China
#177 Björn Ommer: Diffusion Mods Explained By Stable Diffusion’s Creator
#176 Sergey Levine: Decoding The Evolution of AI in Robotics
#175 Aravind Srinivas: Revolutionizing Search with Perplexity AI
#174 Tianmin Shu: How World Models are Shaping The Future of AI
#173 Vincent Vanhoucke: How Is AI Helping Advance Robotics?
#172 Cristóbal Valenzuela: Can AI Revolutionize How We Create Art?
#171 Anna Marie Wagner: Harnessing AI for Synthetic Biology
#170 Richard Sutton on Pursuing AGI Through Reinforcement Learning
#169 Guillermo Rauch: How To Use AI to Improve Web Development
#168 Ian Bremmer on Regulating AI for a Safer Future
#167 Matt Powell: The Impact of AI on Security and Surveillance
#166 Itamar Arel: Is Voice AI the Future of Customer Service?
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