John von Neumann
Hungarian-American mathematician and physicistWikipedia
267
MENTIONS
128
EPISODES
111
PODCASTS
Search complete. 267 mentions across 128 episodes found for "John von Neumann".
Nov 5, 2026
Stanford Seminar - Conflict and Technology
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7:04Oskar MencerGUEST
And so that's what led me on to this new journey of what happens when you actually do these things.
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7:10Oskar MencerGUEST
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.
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7:20Oskar MencerGUEST
And he dedicated many, many years of his life to weather prediction and climate and climate.
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7:27Oskar MencerGUEST
just thought that was the hardest thing you can do.
Avi Loeb: What Is the Pentagon Hiding About UFOs?
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44:08Avi LoebGUEST
Perhaps the aliens tried that already and the experiment failed, so they tried again.
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44:16Avi LoebGUEST
One idea that was quite influential is an idea of von Neumann, the genius that developed the first computer.
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44:26Avi LoebGUEST
He worked on the Manhattan Project and so forth.
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44:30Avi LoebGUEST
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.
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44:58Avi LoebGUEST
Nature is full of them.
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44:59Avi LoebGUEST
That's what we call life, you know, with the DNA as the genetic code.
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45:04Avi LoebGUEST
Von Neumann also thought about systems that are artificially constructed.
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45:07Avi LoebGUEST
We haven't built a robot that can build a robot, But we might do that eventually.
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Unknown podcast
Schrödinger’s Lost Manuscript Reveals a New Twist in Quantum Physics
Nov 5 · 10 Mentions
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6:20speaker_5GUEST
But then, in 1932, they hit what looked like an insurmountable mathematical roadblock.
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6:27speaker_4HOST
Enter John von Neumann.
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6:29speaker_5GUEST
Right.
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6:29speaker_5GUEST
Von Neumann was one of the most formidable mathematicians of the 20th century.
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6:34speaker_5GUEST
And in 1932, he published this foundational book on the mathematics of quantum mechanics.
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6:39speaker_4HOST
And he included a proof in there, didn't he?
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6:54speaker_4HOST
Let's pause there for a second.
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6:56speaker_4HOST
Because in science, you can't just declare an entire philosophical school of thought dead without some serious bulletproof math.
SN1636: Dark Side Embracement, Injectable Cancer & Materialized Entities ⚠️
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22:41Mustafa SuleymanSOUNDBITE_SPEAKER
Obviously, he was suspicious of me as well, because he was like, you're one of those speciesists.
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22:47Mustafa SuleymanSOUNDBITE_SPEAKER
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.
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23:00Mustafa SuleymanSOUNDBITE_SPEAKER
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.
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23:16Mustafa SuleymanSOUNDBITE_SPEAKER
And being at the head of that kind of probe would be, obviously, his
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23:22speaker_12SOUNDBITE_SPEAKER
transitioned...
From Cybernetics to Neural Networks: Michael Arbib
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4:55Michael ArbibGUEST
And in the end, my thesis was in probability theory, but McCulloch was my guru.
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5:01Michael ArbibGUEST
But his big interest at the time was based on a possibly apocryphal conversation with John von Neumann.
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5:12Michael ArbibGUEST
And John von Neumann apparently had said to him, Warren, I've drunk a whole bottle of absinthe, but my brain still works.
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5:20Michael ArbibGUEST
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.
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5:59Michael ArbibGUEST
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.
Episode 1160: IQ Discussion of 70 to 160 Range...Definitely Related to Selling
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9:06Clarence NapierHOST
A formula, a theory, an abstract structure feels as solid as the desk in front of you.
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9:12Clarence NapierHOST
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.
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9:23Clarence NapierHOST
For minds like his, the abstract isn't abstract anymore.
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9:27Clarence NapierHOST
It's a landscape.
What Makes Games Beautiful? A Conversation with Frank Lantz
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16:37Frank LantzGUEST
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.
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16:48Frank LantzGUEST
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.
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17:12Frank LantzGUEST
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...
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17:27Frank LantzGUEST
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.
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17:39Frank LantzGUEST
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.
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17:51Frank LantzGUEST
And for him, he was like, yeah, chess is not a game.
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17:56Frank LantzGUEST
Von Neumann didn't even think that chess was worthy of serious investigation compared to poker.
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18:02Frank LantzGUEST
Because for him, chess was like, yeah, it's obvious what it is.
Follow the White Rabbit: Glitches and Clues in the Simulation | Dr. Rizwan Virk | Ep. 50
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17:35Rizwan VirkGUEST
who just died a few years back.
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17:38Rizwan VirkGUEST
And he wrote a paper about the upcoming technological singularity, and he was actually borrowing the term from John von Neumann,
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17:44Tim GaborHOST
who
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17:44Rizwan VirkGUEST
was one of the most brilliant mathematicians.
#168 Speech Perception & Multilevel Models, with Santiago Barreda
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24:46Santiago BarredaGUEST
But a lot of the times, I think the key is practice immersion.
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24:50Santiago BarredaGUEST
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.
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25:03Santiago BarredaGUEST
And von Neumann says, young men in mathematics, you don't understand things, you get used to them.
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25:09Santiago BarredaGUEST
And so I love that line because I think that fits in with this sort of practice and procedural knowledge more than declarative knowledge.
High-Bandwidth Flash
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0:31JonHOST
Welcome to the Supply Chain Podcast.
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0:34JonHOST
I'm John from Asianometry.
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0:35Tim CulpanHOST
I'm Tim Culpan of Cultium.
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0:37JonHOST
Tim, what are your thoughts on high bandwidth memory? John, that is a very unfair question.
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0:43JonHOST
I should ask you that
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0:44Tim CulpanHOST
question.
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4:21JonHOST
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.
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4:39JonHOST
I think the concept was pretty cool.
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