Deep Blue
Chess computerWikipedia
94
MENTIONS
21
EPISODES
21
PODCASTS
Search complete. 94 mentions across 21 episodes found for "Deep Blue".
Oct 27, 2026
Can we tell when people are lying to us?
R
9:19Robert WestHOST
It's a very different situation.
R
9:22Robert WestHOST
But when Garry Kasparov, the world chess champion, was playing Deep Blue, this chess program, and was beaten.
R
9:32Robert WestHOST
For the first time, a chess grandmaster or chess champion was beaten by a computer.
R
9:38Robert WestHOST
And it was a total game changer.
R
9:41Robert WestHOST
But what was really interesting at that time, because chess programs are much, much better now than they were even then.
R
9:46Robert WestHOST
You know, chess computers would wipe the floor with top chess players nowadays.
R
9:54Robert WestHOST
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.
R
10:19Robert WestHOST
And so he spent ages trying to figure out what it was, and he ended up losing the game.
Can we control self-improving A.I.?
D
10:12David DemingHOST
Over the years, real chess engines became much more complicated, incorporating not just the next move, but the sequence of possible moves.
D
10:18David DemingHOST
And Deep Blue, the chess engine that famously beat Garry Kasparov in 1997, could evaluate 200 million positions per second.
D
10:27David DemingHOST
It was incredibly computationally intensive, but also fundamentally understandable.
D
10:32David DemingHOST
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.
D
10:41David DemingHOST
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.
D
10:59David DemingHOST
It might rediscover the same evaluation system again, but it also might discover new approaches that we didn't think of.
NM Dan Heisman - 30 Years of Chess Coaching Wisdom
D
14:02Dan HeismanGUEST
And, of course, it's hard to become a really good player if you do that.
D
14:06Dan HeismanGUEST
You have to really work at it.
D
14:08Dan HeismanGUEST
Another one of the things I talk about, of course, is picking out your time management.
D
14:13Dan HeismanGUEST
There's a new paradigm in chess today, which is chess.com has 100 million signups or whatever it is, and USCF, U.S.
D
17:34Dan HeismanGUEST
I did from playing lots of blitz games.
D
17:37Dan HeismanGUEST
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.
D
17:46Dan HeismanGUEST
Three, you work on your time management because in Blitz games, time management is so important.
D
17:51Dan HeismanGUEST
So you have to keep looking at the clock.
The Future of Cybersecurity Is Changing Fast
C
26:19Craig TaylorGUEST
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.
C
26:42Craig TaylorGUEST
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.
C
26:53Craig TaylorGUEST
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.
C
27:08Craig TaylorGUEST
That's happened in software development now.
C
27:11Craig TaylorGUEST
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.
Show 328: Sibos 2026 Part 3: AI Governance, Resilience & Human Judgement
N
45:28Nishanth NottathGUEST
You have a starting point, you've got an ending point.
N
45:30Nishanth NottathGUEST
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-
G
45:39Graham BarrettHOST
Yeah
N
45:39Nishanth NottathGUEST
... is because of the fact that, um, there is only 64, uh, blocks in the chess-
BOOKSHELF - Human Competition Artificial Intelligence - OLIVER ROEDER GAMES
J
24:09John BatchelorHOST
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.
J
24:18John BatchelorHOST
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.
J
24:33John BatchelorHOST
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?
O
24:46Oliver RoederGUEST
Yeah, the main challenge, why this is difficult and literally took centuries, it just has everything to do with the mathematical theory.
O
25:41Oliver RoederGUEST
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.
O
25:58Oliver RoederGUEST
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.
O
26:11Oliver RoederGUEST
And indeed, that was less known as that was Deep Blue's second try.
O
26:17Oliver RoederGUEST
IBM had challenged Kasparov in 1996 as well.
Steve Sheinkin on MIND VS. MACHINE: The Chess Match That Changed the World! ♟️
E
2:28Ethan MintoHOST
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.
E
2:36Ethan MintoHOST
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.
E
2:50Ethan MintoHOST
It's a very interesting, entertaining story.
E
2:52Ethan MintoHOST
So yeah, welcome back to E-Train Talk, Steve.
13 MINS LATER
S
15:36Steve SheinkinGUEST
That was absolutely a factor.
E
15:38Ethan MintoHOST
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.
E
15:49Ethan MintoHOST
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.
E
16:01Ethan MintoHOST
Oh, it's a free piece.
A discussion about how to apply brain neuroplasticity to engineering of learning
A
31:36Aki NikolaidisGUEST
Dairy, it's like, I mean, from our small body, it's consuming like 20% of our calories.
A
31:42Aki NikolaidisGUEST
Now, obviously, like it is capable of doing incredible things, right? Like, you know, people talk about Deep Blue versus Garry Kasparov's.
A
31:52Aki NikolaidisGUEST
You know, Garry Kasparov was fighting Deep Blue on a, on a granola bar and a cup of coffee.
A
31:57Aki NikolaidisGUEST
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.
A
32:15Aki NikolaidisGUEST
Um.
Anthony Plays Big Dummy!
S
4:47Steve MigsHOST
Here is your question.
S
4:50Steve MigsHOST
In 1997, a computer named Deep Blue defeated Gary Kasparov in a game of what? Chat.
S
5:00Steve MigsHOST
There you go.
S
5:03Steve MigsHOST
The computers play any other game.
S
5:05Steve MigsHOST
Is that the litmus test? Yeah, I was just wondering.
S
5:08Steve MigsHOST
It's always chess.
S
5:09Steve MigsHOST
Like, there's got to be another game we can take on a computer, beat its ass.
S
5:13Steve MigsHOST
But for whatever reason, chess is the one game.
Don’t be fooled—LLMs don’t reason
M
1:28Martin BuchananNARRATOR
Surely AlphaGo is creative.
M
1:31Martin BuchananNARRATOR
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.
M
1:47Martin BuchananNARRATOR
Go is a vastly more complex game.
M
1:49Martin BuchananNARRATOR
A stone's worth depends on how distance groups and territory unfold over dozens of moves.
11 more episodes mention Deep Blue.
Create an account to see the whole feed, search across every transcript, and follow the entities you care about.