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Deep Blue

Deep Blue

Chess computerWikipedia

Search complete. 94 mentions across 21 episodes found for "Deep Blue".

Oct 27, 2026

Robert WestHOST
9:19
It's a very different situation.
Robert WestHOST
9:22
But when Garry Kasparov, the world chess champion, was playing Deep Blue, this chess program, and was beaten.
Robert WestHOST
9:32
For the first time, a chess grandmaster or chess champion was beaten by a computer.
Robert WestHOST
9:38
And it was a total game changer.
Robert WestHOST
9:41
But what was really interesting at that time, because chess programs are much, much better now than they were even then.
Robert WestHOST
9:46
You know, chess computers would wipe the floor with top chess players nowadays.
Robert WestHOST
9:54
But what was interesting was that there was a key point in that game where actually Deep Blue made what was actually a blunder, right? But because it was a computer and because Garry Kasparov couldn't believe that a computer would make a blunder, he didn't think it was a blunder.
Robert WestHOST
10:19
And so he spent ages trying to figure out what it was, and he ended up losing the game.
David DemingHOST
10:12
Over the years, real chess engines became much more complicated, incorporating not just the next move, but the sequence of possible moves.
David DemingHOST
10:18
And Deep Blue, the chess engine that famously beat Garry Kasparov in 1997, could evaluate 200 million positions per second.
David DemingHOST
10:27
It was incredibly computationally intensive, but also fundamentally understandable.
David DemingHOST
10:32
An engineer could always look inside Deep Blue and find out why it liked a certain move best because the program had an explicit deductive theory of chess.
David DemingHOST
10:41
But, I mean, do we really know what matters in chess? What if we're wrong? So rather than writing down Claude Shannon's model or any other complicated model of chess, you could instead show a computer system an enormous number of chess positions and let it discover for itself which patterns predict winning the game.
David DemingHOST
10:59
It might rediscover the same evaluation system again, but it also might discover new approaches that we didn't think of.
Dan HeismanGUEST
14:02
And, of course, it's hard to become a really good player if you do that.
Dan HeismanGUEST
14:06
You have to really work at it.
Dan HeismanGUEST
14:08
Another one of the things I talk about, of course, is picking out your time management.
Dan HeismanGUEST
14:13
There's a new paradigm in chess today, which is chess.com has 100 million signups or whatever it is, and USCF, U.S.
Dan HeismanGUEST
17:34
I did from playing lots of blitz games.
Dan HeismanGUEST
17:37
Two, you get that quick tactical eye where you could have to figure out quickly if your moves are safe because you don't have 10 minutes on every move to figure out if your moves are safe.
Dan HeismanGUEST
17:46
Three, you work on your time management because in Blitz games, time management is so important.
Dan HeismanGUEST
17:51
So you have to keep looking at the clock.
Craig TaylorGUEST
26:19
I'm not sure if your podcast, if you've gone into it, but I think we're in this period where we might have an 18 to 24-month window where social engineering and humans become secondary to causes of the major breaches that we see in the news, and the primary cause will be these zero days identified by frontier model scanning software that hasn't been scanned before by AI.
Craig TaylorGUEST
26:42
We've came basically to a threshold, a pivot point in software development where humans are like Garry Kasparov playing chess 20 years ago against IBM's Deep Blue.
Craig TaylorGUEST
26:53
We might have been good enough for long enough that we could play chess and be the world's greatest, and then IBM Big Blue came along, Deep Blue or Deep Mind, I forget what they called it, and it became the chess champion of the world, and never again will a human beat a computer at chess.
Craig TaylorGUEST
27:08
That's happened in software development now.
Craig TaylorGUEST
27:11
It's 100% clear to me that humans code insecurely, and AI software and AI coding can do a much better job of identifying, offering fixes, offering patches, and then humans still have to go through that whole process and validate and implement and test and regression test.
Nishanth NottathGUEST
45:28
You have a starting point, you've got an ending point.
Nishanth NottathGUEST
45:30
It's just like, if you think about it, one of the reasons, the, the, the key reason why IBM Deep Blue, uh, cracked, uh, chess very well-
Graham BarrettHOST
45:39
Yeah
Nishanth NottathGUEST
45:39
... is because of the fact that, um, there is only 64, uh, blocks in the chess-
John BatchelorHOST
24:09
And by the mid-50s, I follow Oliver's reporting, they'd conquered enough to play on a six-by-six board, but not the whole machine.
John BatchelorHOST
24:18
It wasn't until the late 20th century that a couple of programs out of Pittsburgh, out of Carnegie Mellon, high-tech and chip test, take us into what we remember now from the late 20th century as IBM's Deep Blue.
John BatchelorHOST
24:33
The question of inventing a computer for chess, what is the challenge for all of these inventions finally to play Kasparov in the late 20th century?
Oliver RoederGUEST
24:46
Yeah, the main challenge, why this is difficult and literally took centuries, it just has everything to do with the mathematical theory.
Oliver RoederGUEST
25:41
Is this a good chess position and then move to another branch? Is this a good chess position? And as I mentioned, the tree is so tall and so thick that you needed you need computers that only existed essentially in the late 20th century, as you say, culminating.
Oliver RoederGUEST
25:58
Eventually, with quite literally a supercomputer, one of the fastest computers in the world at the time, it took to perform these searches and these calculations quickly enough to defeat Garry Kasparov in 1997.
Oliver RoederGUEST
26:11
And indeed, that was less known as that was Deep Blue's second try.
Oliver RoederGUEST
26:17
IBM had challenged Kasparov in 1996 as well.
Ethan MintoHOST
2:28
Now, obviously, Steve is going to talk more about this book in essence, but a little bit to kind of get you all excited, to get you thinking, hey, I want to learn more about it.
Ethan MintoHOST
2:36
It is also co-written by chess grandmaster Maurice Ashley, and it's illustrated by Tien Pham, and it takes us inside the match between Garry Kasparov and IBM's Deep Blue supercomputer.
Ethan MintoHOST
2:50
It's a very interesting, entertaining story.
Ethan MintoHOST
2:52
So yeah, welcome back to E-Train Talk, Steve.

13 MINS LATER

Steve SheinkinGUEST
15:36
That was absolutely a factor.
Ethan MintoHOST
15:38
Yeah, and throughout the book, I mean, you hear from different moves, but in game two, you mentioned that Kasparov gave Deep Blue the chance to grab a couple of pawns.
Ethan MintoHOST
15:49
And people around the world, at least based on what they'd previously seen in previous matchups with supercomputers or just, you know, technology in general, they would pounce at the chance to take these pawns.
Ethan MintoHOST
16:01
Oh, it's a free piece.
Aki NikolaidisGUEST
31:36
Dairy, it's like, I mean, from our small body, it's consuming like 20% of our calories.
Aki NikolaidisGUEST
31:42
Now, obviously, like it is capable of doing incredible things, right? Like, you know, people talk about Deep Blue versus Garry Kasparov's.
Aki NikolaidisGUEST
31:52
You know, Garry Kasparov was fighting Deep Blue on a, on a granola bar and a cup of coffee.
Aki NikolaidisGUEST
31:57
You know what I mean? It's like the calories that he required, you know, no AI is even, is anywhere near matching us on energy expenditure, uh, for compute, right? Like the brain is incredibly efficient at doing compute for the minimum amount of energy.
Aki NikolaidisGUEST
32:15
Um.
Steve MigsHOST
4:47
Here is your question.
Steve MigsHOST
4:50
In 1997, a computer named Deep Blue defeated Gary Kasparov in a game of what? Chat.
Steve MigsHOST
5:00
There you go.
Steve MigsHOST
5:03
The computers play any other game.
Steve MigsHOST
5:05
Is that the litmus test? Yeah, I was just wondering.
Steve MigsHOST
5:08
It's always chess.
Steve MigsHOST
5:09
Like, there's got to be another game we can take on a computer, beat its ass.
Steve MigsHOST
5:13
But for whatever reason, chess is the one game.
Martin BuchananNARRATOR
1:28
Surely AlphaGo is creative.
Martin BuchananNARRATOR
1:31
When Deep Blue defeated then-reigning world chess champion Garry Kasparov in 1997, it did so by looking six to eight moves ahead per player and evaluating 200 million chess positions per second using rules hard-coded by humans.
Martin BuchananNARRATOR
1:47
Go is a vastly more complex game.
Martin BuchananNARRATOR
1:49
A stone's worth depends on how distance groups and territory unfold over dozens of moves.

11 more episodes mention Deep Blue.

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