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Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI | AI Podcast #74



Lex Fridman

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 conversation is part of the Artificial Intelligence podcast.

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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?

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38 thoughts on “Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI | AI Podcast #74
  1. I really enjoyed this conversation with Michael. Here's the 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 – Optimizaiton 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?

  2. THIS IS JUST SOOOOOO GOOOOD!!!! I hope we get more of these… Thanks to Both Lex and Michael…
    OMG….Mr. Jordan tells it like it is…instead of telling us what we want to hear. Thank You!

  3. Came here for recommender systems.
    Stayed for the dressing down.
    Lex this is quickly becoming one of the best podcasts on the interwebs.
    Andrew Ng and then his doctoral advisor? Cool!

  4. Michael I Jordan is literally for me is a brutal Realist and knows the stuff inside out as he had consumed it,chewed it,and spits it out whenever he desires with no icing..

  5. He claims that natural language is impossible for computer systems to make sense of for centuries, then proceeds to arbitrarily scrutinize Lex’s choice of the phrase AI, then fails to agree on terminology when Lex proposes to clarify and distinguish meaning of different words.

    β€œWe need a new word for it”. Well okay, we are all ears on what word you recommend, but in the meantime don’t make an ass out of yourself by telling someone that they are using the wrong words. Jeeeeeeezzzzz….

  6. seems to me he values the ivory tower a bit much.

    the academic/scientific model of the past is too slow, modern practical scstterd research is light years faster than the academic model.

  7. If a lot of these decisions based on data are better than any human being on earth, how is that not some sort of intelligence?.

    I agree wholeheartedly that this is headed towards some new discpliine that nobody is quite sure how it's going to unfold. It's fun to speculate how it's all going to play out.

  8. I really wanted to know his opinion about reinforcement learning since the "restriction" of the data that he mentioned at 21:00 isn't there and how close to human intelligence systems based on RL can be.

  9. Talking about Artificial Intelligence today is like the ancient Greeks talking about how to get to the moon. Wow! That's someone really calling it like it is. Michael Jordan. The most all round intelligent man you will ever hear.

  10. lot of scientists don't want to explain the basics and refer to a beautiful paper .. i am not blaming anyone but i think not much can be done here. .. and creates a gap i guess

  11. MJ was just pointing out how thingsare and not how many of so called "innovators" are trying to BS us into. he was talking just like my father and that is the way i see it.

  12. You know a person is wise when he/she begins answering saying they’re not an expert on the topic as opposed to blabbering about your assumptions and bias on the topic.

  13. he is contrarian, he belongs to the hippy, anarchic generation, he must be AGAINST… he is definitely the extreme left side of computer culture, that is how to say, the OLD computer culture… as a real hippy he talks about Mumbai, India…That's Berkeley, folks !

  14. Michael I Jordan finally helped me understand math and I actually understand what he's saying. He doesn't beat around the bush, only when he uses those words of jargon.

  15. Some of the people I'd love to see on your podcast: Russ Salakhutdinov, Frank Wood, Noah D. Goodman, Vikash Mansinghka, Kevin Ellis. Please make it happen πŸ™‚

  16. As a Cal alumnus, when I saw his class CS170 at Berkeley back then, I didn't know him and only saw his name on the telebear and I thought he was a black guy. πŸ˜€

  17. Can you please interview David Blei, another great professor and a student of Michael Jordan. I am a fan of his work.

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