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John von Neumann

John von Neumann

Hungarian-American mathematician and physicistWikipedia

Search complete. 267 mentions across 128 episodes found for "John von Neumann".

Nov 5, 2026

Oskar MencerGUEST
7:04
And so that's what led me on to this new journey of what happens when you actually do these things.
Oskar MencerGUEST
7:10
Now, we were pushing it a little bit further after that, saying, well, what's the hardest thing you could possibly do? Well, von Neumann thought that weather prediction is the hardest thing.
Oskar MencerGUEST
7:20
And he dedicated many, many years of his life to weather prediction and climate and climate.
Oskar MencerGUEST
7:27
just thought that was the hardest thing you can do.
Avi LoebGUEST
44:08
Perhaps the aliens tried that already and the experiment failed, so they tried again.
Avi LoebGUEST
44:16
One idea that was quite influential is an idea of von Neumann, the genius that developed the first computer.
Avi LoebGUEST
44:26
He worked on the Manhattan Project and so forth.
Avi LoebGUEST
44:30
One of his ideas was just a year before DNA was discovered, around 1950, he suggested the idea of self-replicating systems, meaning a system that can reproduce itself.
Avi LoebGUEST
44:58
Nature is full of them.
Avi LoebGUEST
44:59
That's what we call life, you know, with the DNA as the genetic code.
Avi LoebGUEST
45:04
Von Neumann also thought about systems that are artificially constructed.
Avi LoebGUEST
45:07
We haven't built a robot that can build a robot, But we might do that eventually.

Unknown podcast

Schrödinger’s Lost Manuscript Reveals a New Twist in Quantum Physics

Nov 5 · 10 Mentions

speaker_5GUEST
6:20
But then, in 1932, they hit what looked like an insurmountable mathematical roadblock.
speaker_4HOST
6:27
Enter John von Neumann.
speaker_5GUEST
6:29
Right.
speaker_5GUEST
6:29
Von Neumann was one of the most formidable mathematicians of the 20th century.
speaker_5GUEST
6:34
And in 1932, he published this foundational book on the mathematics of quantum mechanics.
speaker_4HOST
6:39
And he included a proof in there, didn't he?
speaker_4HOST
6:54
Let's pause there for a second.
speaker_4HOST
6:56
Because in science, you can't just declare an entire philosophical school of thought dead without some serious bulletproof math.
Mustafa SuleymanSOUNDBITE_SPEAKER
22:41
Obviously, he was suspicious of me as well, because he was like, you're one of those speciesists.
Mustafa SuleymanSOUNDBITE_SPEAKER
22:47
And he said, you know, I think that what you don't understand, Mustafa, is that by the end of the century, I'm going to be exploring the galaxies at the head of a von Neumann probe.
Mustafa SuleymanSOUNDBITE_SPEAKER
23:00
which means a von Neumann probe is a kind of self-propelling kind of robot that is able to gather energy from space as it's careening through the light years.
Mustafa SuleymanSOUNDBITE_SPEAKER
23:16
And being at the head of that kind of probe would be, obviously, his
speaker_12SOUNDBITE_SPEAKER
23:22
transitioned...
Michael ArbibGUEST
4:55
And in the end, my thesis was in probability theory, but McCulloch was my guru.
Michael ArbibGUEST
5:01
But his big interest at the time was based on a possibly apocryphal conversation with John von Neumann.
Michael ArbibGUEST
5:12
And John von Neumann apparently had said to him, Warren, I've drunk a whole bottle of absinthe, but my brain still works.
Michael ArbibGUEST
5:20
How can that be? And von Neumann had published a theory of reliable computation in unreliable networks in a book called Automata Studies, edited by Shannon and McCarthy, that I had read before I left Sydney and that was contemporaneous and had an overlap in personnel with the people who put together McCarthy, obviously, and Shannon, too, at the famous Dartmouth conference that initiated artificial intelligence as we used to know it.
Michael ArbibGUEST
5:59
what you might call a postdoc, except he hadn't got a doctorate yet, a guy named Jack Cowan, who was working on a mathematical theory of how do you take Shannon's theory and transform it from a theory of communication to a theory of computation.
Clarence NapierHOST
9:06
A formula, a theory, an abstract structure feels as solid as the desk in front of you.
Clarence NapierHOST
9:12
There are many stories about John von Neumann, the 20th century mathematician, working through complicated calculations in his head faster than the early computers he helped design.
Clarence NapierHOST
9:23
For minds like his, the abstract isn't abstract anymore.
Clarence NapierHOST
9:27
It's a landscape.
Frank LantzGUEST
16:37
you know, long before there were game designers, you know, professional game designers in the world, those are the kind of people who were inventing games, you know, and the kind of people who were interested in games.
Frank LantzGUEST
16:48
And you talk about like the idea of mixed strategies and pure strategies and this whole branch of science, game theory, you know, which is like this really important influential branch of science, developed by John von Neumann, largely considered one of the greatest minds of the 20th century, one of the greatest scientific minds ever.
Frank LantzGUEST
17:12
And he invented this out of an interest in games, and particularly out of this observation that you talk about, about poker versus chess, and thinking, oh, is that...
Frank LantzGUEST
17:27
Is there a truth in poker? Like, is there a truth that transcends the kind of simplistic truth of chess, which is a little bit like a straightforward math equation? Like you can look at chess.
Frank LantzGUEST
17:39
And this other thing where there's like this cascade of decisions that affect each other, is there still a kind of way of looking at that with a scientific perspective? mindset.
Frank LantzGUEST
17:51
And for him, he was like, yeah, chess is not a game.
Frank LantzGUEST
17:56
Von Neumann didn't even think that chess was worthy of serious investigation compared to poker.
Frank LantzGUEST
18:02
Because for him, chess was like, yeah, it's obvious what it is.
Rizwan VirkGUEST
17:35
who just died a few years back.
Rizwan VirkGUEST
17:38
And he wrote a paper about the upcoming technological singularity, and he was actually borrowing the term from John von Neumann,
Tim GaborHOST
17:44
who
Rizwan VirkGUEST
17:44
was one of the most brilliant mathematicians.
Santiago BarredaGUEST
24:46
But a lot of the times, I think the key is practice immersion.
Santiago BarredaGUEST
24:50
We talk about immersion in a foreign language, but in the math, There's this great line, who knows if it's true, but it's attributed to John von Neumann, where a student says about some concept, a professor I don't understand.
Santiago BarredaGUEST
25:03
And von Neumann says, young men in mathematics, you don't understand things, you get used to them.
Santiago BarredaGUEST
25:09
And so I love that line because I think that fits in with this sort of practice and procedural knowledge more than declarative knowledge.
JonHOST
0:31
Welcome to the Supply Chain Podcast.
JonHOST
0:34
I'm John from Asianometry.
Tim CulpanHOST
0:35
I'm Tim Culpan of Cultium.
JonHOST
0:37
Tim, what are your thoughts on high bandwidth memory? John, that is a very unfair question.
JonHOST
0:43
I should ask you that
Tim CulpanHOST
0:44
question.
JonHOST
4:21
But at that time, the idea was that we're going to have these logic processors right in the base die, so and so, and then we're going to compute up and down So you're not even going to have to even move the data from shoreline to shoreline to the GPU.
JonHOST
4:39
I think the concept was pretty cool.

118 more episodes mention John von Neumann.

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