The Origins Podcast with Lawrence Krauss

Jim Simons: Math, Codes, Hunting Talent, Stocks, & Science

Oct 28, 2021
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Episode notes
1
Introduction
00:00 • 3min
2
What Was It About Math That Made Me Like It?
03:08 • 2min
3
Zeno's Paradox Y, and You Wouldn't Get Very Far
04:42 • 2min
4
The Influence Your Parents Had on You
06:34 • 4min
5
Did My Mother Have a High School Degree?
10:32 • 2min
6
Did They Encourage You to Get an Education?
12:31 • 3min
7
Didtat Tat Happen to You?
15:39 • 4min
8
A Girl's First Icecap
19:34 • 2min
9
Did You Get Twoo, Also Drink All the Profit?
21:07 • 2min
10
Did Your Parents Encourage Wanted Me to Be a Doctor?
22:45 • 2min
11
Is Miscosin Close to Home?
25:04 • 2min
12
Why Didn't You Like Physics?
26:54 • 2min
13
I Didn't Like Physics, You Know?
28:35 • 2min
14
The Beauty of Stokes Theorem
30:21 • 3min
15
The Challenge of Geometr Geometry of Gage Series
33:07 • 3min
16
The Bom Ano
36:06 • 2min
17
A, Aa, I Think It's Ubiquitous, Yes?
38:13 • 5min
18
The Indicators, You May Not Have Heard, but It Was a Very Interesting Invention
43:08 • 2min
19
Ad Lambrettas - Is That Right After Your at My Tea?
45:00 • 2min
20
I Don't Want to Leave, but I Want to Work at That Business
46:30 • 3min
21
Is That Your First Experience of Working With Computers?
49:41 • 2min
22
I Left Harvard, and I Found It Stuffy
51:33 • 2min
23
I'd Been a Junior Fellow at Harvard, but I Was Not Considered for That
53:28 • 4min
24
The Mathuis Theory, a Combinatorial Formula for the Oilar Characteristics
57:21 • 5min
25
I Think That There're Wonderful Examples Like That That Are Incredibly Important
01:02:02 • 3min
26
A Physicist's Look at Your Shoulder
01:05:16 • 2min
27
Young Scientists Convey Enthusiasm
01:07:19 • 2min
28
Iagree, It's a and Where We're Lucky to Have Such People
01:08:50 • 4min
29
You Will Get, We'll Get There
01:12:36 • 2min
30
You Moved to Stonybrook?
01:14:28 • 3min
31
How Did You Find That You're Really Helping Other People?
01:17:14 • 3min
32
Do You Think Char's Experiences Helped Prime You for That?
01:19:58 • 4min
33
You've Got a Cushion of Intellectual Excellence.
01:24:00 • 2min
34
Machine Learning and Algorithmso
01:26:03 • 2min
35
Is It a Black Box?
01:27:38 • 2min
36
Machine Learning
01:29:33 • 3min
37
It's Easy to Take Losing Money Than a Life
01:32:08 • 2min
38
Are You Most Proud of the Foundation?
01:33:47 • 2min
39
Then, I'll Do This if You Head It
01:35:35 • 2min
40
Is the Support of Foundational Research a Good Thing or a Bad Thing?
01:37:39 • 2min
41
You're a Good Questioner and I Hope You Enjoyed It
01:40:08 • 3min