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Thinking Fast and Slow, Deep Learning, and AI [video]

lexfridman.com

81–90 of 104 posts

Re: Thinking Fast and Slow, Deep Learning, and AI [video]

#81
Lex, you're doing an amazing job. The level of commitment and hard work you put in to make this podcast is incredible.

On the technical depth side criticism you're getting, I would say the one with Ian Goodfellow had optimal balance.

And don't take destructive criticism about bad attitude or tone etc by some commentors . For someone introverted it's already draining to put yourself in front of a camera ...

Re: Thinking Fast and Slow, Deep Learning, and AI [video]

#82
post #78

Thank you Lex. I think your podcast are the most interesting in the internet. But... Readings books is awesome because you are getting the condensed knowledge that someone have spend maybe decades of their lives to compile. When I listen to a podcast the same applies to a lesser extend. The problem is Lex does not ask interesting questions. He dwells into philosophical and common questions i.e "What is the meaning of…

Interesting philosophical thoughts are not limited to philosophers. A philosophical question asked to a top-achieving person in any field often yields a thought-provoking answer. I have heard some of those in Lex’s podcast. A diversity of perspectives is helpful for such questions.

One can tell that Lex does his research and also asks specific questions pertaining to the interviewee’s expertise. I think he strikes a good balance in many/most episodes.

Re: Thinking Fast and Slow, Deep Learning, and AI [video]

#83
post #78

Thank you Lex. I think your podcast are the most interesting in the internet. But... Readings books is awesome because you are getting the condensed knowledge that someone have spend maybe decades of their lives to compile. When I listen to a podcast the same applies to a lesser extend. The problem is Lex does not ask interesting questions. He dwells into philosophical and common questions i.e "What is the meaning of…

I disagree with this. One of the reasons I like this podcast so much is that the philosophical questions often lead to guests revealing profound insights into their outlook on life (or at least you get to see more of the interviewee's personality!).

The other thing I like is how Lex is willing to disagree with the interviewee. It leads to much more interesting discussions when someone has to explain their reasoning rather than just stating it outright. I think it helps that Lex seems to always ask the same questions I was thinking of!

Re: Thinking Fast and Slow, Deep Learning, and AI [video]

#84
post #12
post #7

Earlier quoted context omitted.

Those are very strong words. Why?

The deadpan delivery and lack of personality, the arrogant attitude, the poor quality of the questions that he asks, the fact that he reads questions from a sheet in front of him instead of listening to his guests and having a real conversation with them, the way in which he comes across as disingenuous in most interactions... I could go on (and I know that a lot of this is subjective).

How can you say he has both a lack of personality and an arrogant attitude?

I don't know how you could possibly listen to his interview with George Hotz (one of my favourites) and say that he has no personality.

I think you have assumed the worst, that his entire personality is an act, and this has coloured your view of everything else. Once you realize that he's being sincere, I think you will find it much more enjoyable.

Re: Thinking Fast and Slow, Deep Learning, and AI [video]

#86
lex. quit academia for now. you can always go back later. carpe diem. you have a huge opportunity now and of you dont go full time youll never really know if you could have 'made it' as a AAA interviewer of household international fame.

give yoirself a time limit. you can always go back to academia.its time ypu accept youve hit an inflection point and now is the time you decide if you will take the risk of pursuing geometric growth. zeev

Re: Thinking Fast and Slow, Deep Learning, and AI [video]

#87
post #65

I am not sure if this is covered in the podcast, but from the title, I wonder if in deep neural net research there are papers and implementations of a system 1 and 2 like model. One part of the neural net could be system 1 for fast decision making, and other could be system 2, with more deliberate analysis. They could communicate over some shared medium.

I got your answer! He indeed explicitely says in the interview that deep learning is really system 1 only. That was surprising but makes total sense — it's an unconscious, automatic, fast, effort-free response, which is exactly what system 1 is. Note that both system 1 and 2 are trainable and able to perform complex tasks (he takes the example of a chess player for whom only strong moves come to mind, which is system…

Would you consider using neural nets to solve integration and differential equations as it doing system 2 reasoning?

https://ai.facebook.com/blog/using-neural-networks-to-solve-...

Or what tasks are in the domain of system 2?

Re: Thinking Fast and Slow, Deep Learning, and AI [video]

#88
post #80
post #78

Thank you Lex. I think your podcast are the most interesting in the internet. But... Readings books is awesome because you are getting the condensed knowledge that someone have spend maybe decades of their lives to compile. When I listen to a podcast the same applies to a lesser extend. The problem is Lex does not ask interesting questions. He dwells into philosophical and common questions i.e "What is the meaning of…

While I definitely understand where you are coming from, I think Lex's style can grow on you. My advice would be to ask shorter questions, sometimes Lex you try to explain what you mean. I would just drop the question and let the other person start talking instead of you trying to fill the silence. Also I do really enjoy the questions about meaning of life (maybe more discussions on free will would be great too). In…

Lex here. The amount of positive and thoughtful comments here is humbling. From the bottom of my heart, thank you.

Here are things I didn't realize is the role of the interviewer (my role) but I now know they are:

1. Push towards depth, because not all people go there naturally themselves.

2. Ask for clarifications if I don't understand something. This can make me sound stupid, but it's a worthy sacrifice. I will always sacrifice ego for the chance to understand something basic or hopefully fundamental. In fact, I play dumb sometimes just to force explanation of basics on which the technically deep ideas are built.

3. Disagree respectfully (at times playing devil's advocate) to give a chance to the interviewee to argue their point.

4. Speak whatever question or point I have clearly, concisely, quickly, and then shut up and listen. My role is to give the other person a break and to throw up ideas that spark their passion. I really struggle with this (especially the concise, clear part).

Thank you again for the kind words. I'll keep improving!

Re: Thinking Fast and Slow, Deep Learning, and AI [video]

#89
post #78

Thank you Lex. I think your podcast are the most interesting in the internet. But... Readings books is awesome because you are getting the condensed knowledge that someone have spend maybe decades of their lives to compile. When I listen to a podcast the same applies to a lesser extend. The problem is Lex does not ask interesting questions. He dwells into philosophical and common questions i.e "What is the meaning of…

I agree with this. I’ve been in the AI field(s) for over 25 years and I really wanted to like this podcast. The people Lex gets on are amazing, but I haven’t been able to get through any of the episodes as they get too philosophical.

I understand it would be difficult to get ones head around the matter produced by each of these giants to ask more specific questions. Would it be worth asking others in the field about the key ideas that require explaining and which topics are controversial?

Re: Thinking Fast and Slow, Deep Learning, and AI [video]

#90
post #85

Just wanted to say thanks for doing the podcast! It has become my favourite podcast to listen to (and I listen to a lot of them!). The style of it is relaxing and yet mentally stimulating at the same time. I enjoy all the philosophical questions as well!

Thank you! To me, asking philosophical questions of world-class mathematicians, physicists, computer scientists, engineers is eye-opening and inspiring. It's taking a break at looking up at the stars. I love the messy details of engineering, but every once in a while it feels great to pause, and reflect on the big picture of our incredible, unlikely existence here on Earth.

As Oscar Wilde said: "We are all in the gutter, but some of us are looking at the stars."

I love the gutter and I love the stars!

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