Yoshua Bengio, a trailblazer in artificial intelligence and deep learning, joins California State Senator Scott Wiener to delve into the pressing issue of AI regulation. They tackle the risks associated with an AI arms race and the complexities of proposed legislation like Senate Bill 1047. The conversation highlights the urgency of regulatory measures while navigating challenges in liability, economic impacts on AI firms, and the nuances between open-source and closed-source AI developments. It’s a thought-provoking exploration of technology's future.

Yoshua Bengio, a pioneering deep learning researcher and Turing Award winner, delves into the pressing issues of AI safety and design. He warns about the dangers of goal-seeking AIs and emphasizes the need for non-agentic AIs to mitigate existential threats. Bengio discusses reward tampering, the complexity of AI agency, and the importance of global governance. He envisions AI as a transformative tool for science and medicine, exploring how responsible development can harness its potential while maintaining safety.

Yoshua Bengio joins Host Pieter Abbeel to discuss large language models, higher level cognition, causality, responsible AI, and human creativity. SUBSCRIBE TO THE ROBOT BRAINS PODCAST TODAY | Visit therobotbrains.ai and follow us on YouTube at TheRobotBrainsPodcast, Twitter @therobotbrains, and Instagram @therobotbrains. Hosted on Acast. See acast.com/privacy for more information.

The launch of ChatGPT broke records in consecutive months between December 2022 and February 2023. Over 1 billion users a month for ChatGPT, over 100,000 users and $45 million in revenue for Jasper A.I., and the race to adopting A.I. at scale has begun.Does the global adoption of artificial intelligence have you concerned or apprehensive about what’s to come?On one hand it’s easy to get caught up in the possibilities of co-existing with A.I. living the enhanced upgraded human experience. We already have tech and A.I. integrated into so many of our daily habits and routines: Apple watches, ora rings, social media algorithms, chat bots, and on and on.Yoshua Bengio has dedicated more than 30 years of his computer science career to deep learning. He’s an award winning computer scientist known for his breakthroughs in artificial neural networks. Why after 3 decades contributing to the advancement of A.I. systems is Yoshua now calling to slow down the development of powerful A.I. systems?This conversation is about being open-minded and aware of the dangers of AI we all need to consider from the perspective of one of the world’s leading experts in artificial intelligence.Conscious computers, A.I. trolls, and the evolution of machines and what it means to be a neural network are just a few of the things you’ll find interesting in this conversation.Follow Yoshua Bengio:Website: https://yoshuabengio.org/ SPONSORS:Get 5 free AG1 Travel Packs and a FREE 1 year supply of Vitamin D with your first purchase at https://bit.ly/AG1Impact.Sign up for a one-dollar-per-month trial period at https://bit.ly/ShopifyImpact and supercharge your business!Get FREE GROUND BEEF FOR LIFE plus $20 off your first box at https://bit.ly/ButcherBoxImpact.Get 55% off at https://bit.ly/BabbelImpact and learn a new language today!Are You Ready for EXTRA Impact?If you’re ready to find true fulfillment, strengthen your focus, and ignite your true potential, the Impact Theory subscription was created just for you.Want to transform your health, sharpen your mindset, improve your relationship, or conquer the business world? This is your epicenter of greatness. This is not for the faint of heart. This is for those who dare to learn obsessively, every day, day after day.Subscription Benefits: Unlock the gates to a treasure trove of wisdom from inspiring guests like Andrew Huberman, Mel Robbins, Hal Elrod, Matthew McConaughey, and many, many, more New episodes delivered ad-free Exclusive access to Tom’s AMAs, keynote speeches, and suggestions from his personal reading list You’ll also get access to an 5 additional podcasts with hundreds of archived Impact Theory episodes, meticulously curated into themed playlists covering health, mindset, business, relationships, and more: Legendary Mindset: Mindset & Self-Improvement Money Mindset: Business & Finance Relationship Theory: Relationships Health Theory: Mental & Physical Health Power Ups: Weekly Doses of Short Motivational Quotes  Subscribe on Apple Podcasts: https://apple.co/3PCvJazSubscribe on all other platforms (Google Podcasts, Spotify, Castro, Downcast, Overcast, Pocket Casts, Podcast Addict, Podcast Republic, Podkicker, and more) : https://impacttheorynetwork.supercast.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Yoshua Bengio discusses the catastrophic risks of AI misuse. Topics include manipulation, disinformation, harm and power concentration. They explore risks associated with achieving human-level competence in AI, and challenges of defining agency and sentience. Solutions include safety guardrails, national security, bans on uncertain safety, and governance-driven AI systems.

Exploring the evolution of AI from clunky artificial neurons to powerful language models. Discussing the connection between human and artificial intelligence. Delving into cognitive testing, brain scans, and the intricacies of neural networks. Tracing the origins of artificial neurons and early neural networks. Covering early applications of neural networks in pattern recognition.

Canadian computer scientist Yoshua Bengio, one of the 'godfathers of AI,' discusses his shift towards preventing AI from harming humanity. He delves into policy changes, regulatory measures like the EU -AI Act, the need for legislation for AI safety, and the limitations of current AI systems.

Happy episode 50! This week’s episode is being released on Monday to avoid Thanksgiving. Have suggestions for future podcast guests (or other feedback)? Let us know here!In episode 50 of The Gradient Podcast, Daniel Bashir speaks to Professor Yoshua Bengio. Professor Bengio is a Full Professor at the Université de Montréal as well as Founder and Scientific Director of the MILA-Quebec AI Institute and the IVADO institute. Best known for his work in pioneering deep learning, Bengio was one of three awardees of the 2018 A.M. Turing Award along with Geoffrey Hinton and Yann LeCun. He is also the awardee of the prestigious Killam prize and, as of this year, the computer scientist with the highest h-index in the world.Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (02:20) Journey into Deep Learning, PDP and Hinton* (06:45) “Inspired by biology”* (08:30) “Gradient Based Learning Applied to Document Recognition” and working with Yann LeCun* (10:00) What Bengio learned from LeCun (and Larry Jackel) about being a research advisor* (13:00) “Learning Long-Term Dependencies with Gradient Descent is Difficult,” why people don’t understand this paper well enough* (18:15) Bengio’s work on word embeddings and the curse of dimensionality, “A Neural Probabilistic Language Model”* (23:00) Adding more structure / inductive biases to LMs* (24:00) The rise of deep learning and Bengio’s experience, “you have to be careful with inductive biases”* (31:30) Bengio’s “Bayesian posture” in response to recent developments* (40:00) Higher level cognition, Global Workspace Theory* (45:00) Causality, actions as mediating distribution change* (49:30) GFlowNets and RL* (53:30) GFlowNets and actions that are not well-defined, combining with System II and modular, abstract ideas* (56:50) GFlowNets and evolutionary methods* (1:00:45) Bengio on Cartesian dualism* (1:09:30) “When you are famous, it is hard to work on hard problems” (Richard Hamming) and Bengio’s response* (1:11:10) Family background, art and its role in Bengio’s life* (1:14:20) OutroLinks:* Professor Bengio’s Homepage* Papers* Gradient-based learning applied to document recognition* Learning Long-Term Dependencies with Gradient Descent is Difficult* The Consciousness Prior* Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Get full access to The Gradient at thegradientpub.substack.com/subscribe

The podcast explores the evolution of AI from early brain modeling to modern neural-inspired systems. It delves into the challenges of defining intelligence and the use of language models in machine learning. The progression of AI from perceptrons to deep neural networks is discussed, highlighting breakthroughs in the deep learning revolution.

Yoshua Bengio, a pioneer of generative AI, and Eliezer Yudkowsky, a research lead at the Machine Intelligence Research Institute, discuss the existential risk of superintelligent AI. Yann LeCun, head of AI at Meta, disagrees and points out the potential benefits of superintelligent AI. Topics include the dangers of superintelligent machines, aligning AI systems with human values, and the potential and misuse of superintelligent AI.