From philosophy to POMDPs to reinforcement learning & hierarchical planning to the publishing model in academia, I really enjoyed this conversation with Leslie.

Leslie is so eloquent, I think this is my favorite interview from the podcast

I was just following Leslie's MIT OCW course and thinking what a great teacher she is. I then find this! So excited to listen now.

Like this lady. A free thinker who doesn't care for competition and care for investing into hard problems

Thank you so much for this, Lex. Much love...

Begins with a GEB mention, eloquently articulates issues I have been trying to categorise for years, is pro open access, isn't getting distracted by ill-formed big ideas... anything this person has ever said or written is now priority reading for me. Genius.

Being someone whose work environment is not alongside other programmers where I have to either use lay terminology or keep to myself with descriptions of what I do, it's intriguing and almost refreshing to hear conversations on this podcast constantly referring to everyday life in terms of functions, problem spaces, sets, and the like. really enjoying it.

Wow Leslie is smart as heck!

Leslie is one those amazing guests who do not proffer opinions on supposedly deep questions, but are very lucid in what they do say. I really liked her!

3rd yr undergrad student. Learning ai on his own. I could understand the problem statements for deep learning and computer vision(couldn't solve them , obviously) , but not so much in reinforcement learning. This really helped. Reinforcement learning isn't just a computation problem. It's a merging of the disciplines mentioned under symbolic systems . One can specialize in one or more of thosw fields, but to make things work, all those perspectives are needed. Thanks for this.

What a great conversation.

Great conversation!

Thanks for this podcast

Mind-opening

You know Listening to her made me think that humans are amazing !! really

I think the output we want from a "perception" system is a cost or a credit of the current state of the world. Just like we do in inverse reinforcement learning or target propagation for the credit assignement problem. Awesome video btw !

Great channel thank you

wow!!...very knowledgeable...

It will take a surprising amount of time to walk through Kuala Lumpur airport

She's great. I hold almost exactly the same opinions, but I am much worse at articulating them.

@lex can you please add the outline back for videos?

Rock out! Nice love it !

Glad to see a few women in this field. 😍

interesting talk

Liked her AI perspective.

How to create your own deep learning library?

It would be great to see Jeff Hawkins on Your podcast.

I really like the way she.....Talks?

Who is the author mentioned at 0:45?

"paper is not required for prestige, as it turns out." sums up todays colleges/universities.

What did she read that makes her interested in computer science?

Feels like listening to AMSR

Any person who doesn't value competition based on 'personal feelings' loses a lot of credibility. Its better than resenting it for ideological reasons, but its our most general method, and possibly most fundamental method of finding truth. Dismiss it at your peril.

She sounds, and kind of looks like Judith Butler :D

Here @ 2278; views..... ...... ......

Third

Anyone find the intro just a bit creepy?