Lex Fridman PodcastMichael I. Jordan: Machine Learning, Recommender Systems, and Future of AI | Lex Fridman Podcast #74
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Episode Details
EPISODE INFO
- Released
- February 24, 2020
- Duration
- 1h 45m
- Channel
- Lex Fridman Podcast
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Michael I Jordan is a professor at Berkeley, and one of the most influential people in the history of machine learning, statistics, and artificial intelligence. He has been cited over 170,000 times and has mentored many of the world-class researchers defining the field of AI today, including Andrew Ng, Zoubin Ghahramani, Ben Taskar, and Yoshua Bengio. This episode is presented by Cash App. Download it & use code "LexPodcast": Cash App (App Store): https://apple.co/2sPrUHe Cash App (Google Play): https://bit.ly/2MlvP5w PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 EPISODE LINKS: (Blog post) Artificial Intelligence -- The Revolution Hasn’t Happened Yet: https://hdsr.mitpress.mit.edu/pub/wot7mkc1 OUTLINE: 0:00 - Introduction 3:02 - How far are we in development of AI? 8:25 - Neuralink and brain-computer interfaces 14:49 - The term "artificial intelligence" 19:00 - Does science progress by ideas or personalities? 19:55 - Disagreement with Yann LeCun 23:53 - Recommender systems and distributed decision-making at scale 43:34 - Facebook, privacy, and trust 1:01:11 - Are human beings fundamentally good? 1:02:32 - Can a human life and society be modeled as an optimization problem? 1:04:27 - Is the world deterministic? 1:04:59 - Role of optimization in multi-agent systems 1:09:52 - Optimization of neural networks 1:16:08 - Beautiful idea in optimization: Nesterov acceleration 1:19:02 - What is statistics? 1:29:21 - What is intelligence? 1:37:01 - Advice for students 1:39:57 - Which language is more beautiful: English or French? CONNECT:
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SPEAKERS
Lex Fridman
hostMichael I. Jordan
guestNarrator
other
EPISODE SUMMARY
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Michael I. Jordan, Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI | Lex Fridman Podcast #74 explores Michael I. Jordan Redefines AI: From Hype to Human-Centric Engineering Michael I. Jordan argues that what is called “AI” today is not artificial intelligence in the McCarthy sense, but the early stages of a new engineering discipline built on statistics, computation, and economics. He stresses how little we understand about human brains and real intelligence, criticizing hype around brain-inspired AI and short-term claims about human-level language understanding. Much of the conversation centers on decision-making at scale, markets, and recommender systems, contrasting prediction from data with the harder problem of building consequential, human-aligned systems. Jordan also critiques advertising-based business models, calls for producer–consumer markets that genuinely create value, and frames the future of AI as “intelligent infrastructure” that augments rather than replaces humans.
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