62 min listen
BI 100.1 Special: What Has Improved Your Career or Well-being?
FromBrain Inspired
ratings:
Length:
43 minutes
Released:
Mar 9, 2021
Format:
Podcast episode
Description
Brain Inspired turns 100 (episodes) today! To celebrate, my patreon supporters helped me create a list of questions to ask my previous guests, many of whom contributed by answering any or all of the questions. I've collected all their responses into separate little episodes, one for each question. Starting with a light-hearted (but quite valuable) one, this episode has responses to the question, "In the last five years, what new belief, behavior, or habit has most improved your career or well being?" See below for links to each previous guest. And away we go...
Timestamps:
0:00 - Intro
6:13 - David Krakauer
8:50 - David Poeppel
9:32 - Jay McClelland
11:03 - Patrick Mayo
11:45 - Marcel van Gerven
12:11 - Blake Richards
12:25 - John Krakauer
14:22 - Nicole Rust
15:26 - Megan Peters
17:03 - Andrew Saxe
18:11 - Federico Turkheimer
20:03 - Rodrigo Quian Quiroga
22:03 - Thomas Naselaris
23:09 - Steve Potter
24:37 - Brad Love
27:18 - Steve Grossberg
29:04 - Talia Konkle
29:58 - Paul Cisek
32:28 - Kanaka Rajan
34:33 - Grace Lindsay
35:40 - Konrad Kording
36:30 - Mark Humphries
Timestamps:
0:00 - Intro
6:13 - David Krakauer
8:50 - David Poeppel
9:32 - Jay McClelland
11:03 - Patrick Mayo
11:45 - Marcel van Gerven
12:11 - Blake Richards
12:25 - John Krakauer
14:22 - Nicole Rust
15:26 - Megan Peters
17:03 - Andrew Saxe
18:11 - Federico Turkheimer
20:03 - Rodrigo Quian Quiroga
22:03 - Thomas Naselaris
23:09 - Steve Potter
24:37 - Brad Love
27:18 - Steve Grossberg
29:04 - Talia Konkle
29:58 - Paul Cisek
32:28 - Kanaka Rajan
34:33 - Grace Lindsay
35:40 - Konrad Kording
36:30 - Mark Humphries
Released:
Mar 9, 2021
Format:
Podcast episode
Titles in the series (99)
BI 105 Sanjeev Arora: Off the Convex Path: Sanjeev and I discuss some of the progress toward understanding how deep learning works, specially under previous assumptions it wouldnt or shouldnt work as well as it does. Deep learning theory poses a challenge for mathematics, because its methods aren by Brain Inspired