Join host Craig Smith on episode #170 of Eye on AI, for a riveting conversation with Richard Sutton, currently serving as a professor of computing science at the University of Alberta and a research scientist at Keen Technologies.
Sutton is considered one of the founders of modern computational reinforcement learning, having several significant contributions to the field, including temporal difference learning and policy gradient methods.
In this episode, we go through the Alberta Plan for AI development, the transformative potential of reinforcement learning, and the future of AI in augmenting human intelligence.
Richard Sutton shares insights on the importance of computational power, the impact of large language models, and the vision for AI that interacts with the world through goals and learning from its environment.
We also explore the challenges and opportunities in making AI more embodied and goal-oriented, and how this approach could revolutionize our interaction with technology.
A must-listen for anyone interested in the cutting-edge advancements in AI and its societal implications.
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This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.
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Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Introduction
(02:15) AI’s Evolution: Insights from Richard Sutton
(07:08) Breaking Down AI: From Algorithms to AGI
(10:50) The Alberta Experiment: A New Approach to AI Learning
(18:27) The Horde Architecture Explained
(21:23) Power Collaboration: Carmack, Keen, and the Future of AI
(25:04) Expanding AI's Learning Capabilities
(31:34) Is AI the Future of Technology?
(35:29) The Next Step in AI: Experiential Learning and Embodiment
(40:00) AI's Building Blocks: Algorithms for a Smarter Tomorrow
(45:59) The Strategy of AI: Planning and Representation
(49:27) Learning Methods Face-Off: Reinforcement vs. Supervised
(52:53) The 2030 Vision: Aiming for True AI Intelligence?
#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
#178 Terry Sejnowski on Integrating Human Development Principles into AI Models
#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
#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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