AlphaGo, every mention

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Verbatim, from the transcripts: the passages where AlphaGo comes up

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▶ 27:36 Greg Brockman You remember move 37, this move that like changed people's understanding of the game.

▶ 3:30:02 Greg Brockman You remember move 37, this move that like changed people's understanding of the game.

▶ 4:07 Geoffrey Hinton In that sense, it's a bit like AlphaGo where you can play against yourself.

▶ 48:29 Greg Brockman The thing that I am just very excited to see is almost, if you remember AlphaGoMove.com, right, this move that no human ever would have come up with.

▶ 3:54 Demis Hassabis You know, AlphaFold, AlphaGo are examples of that, so some of our most important work, um, combines neural networks and deep learning with things like Monte Carlo Tree Search. 2 times in the scene
▶ 25:00 Demis Hassabis Uh, interestingly in Go, um, the, the best South Go player in the world is a South Korean, and he was about 15, I think, when AlphaGo match happened. 3 times in the scene
▶ 28:57 Demis Hassabis Is because of things like AlphaGo and AlphaFold, especially AlphaFold, where, you know, we solved all the protein structures that are kind of known to science, and how have we done that?
▶ 31:52 Alex Kantrowitz Um, you built AlphaGo, uh, trained, um, the computer to play Go on human knowledge, and then once it mastered the human level playing, you kind of like let it loose.

▶ 4:27 Demis Hassabis If you go back to our very early work on things like AlphaGo and AlphaZero, our agent work on, on playing games, they will all have this type of attribute of a thinking system on top of a model. 3 times in the scene
▶ 28:02 Demis Hassabis Um, real, uh, structures in nature is quite interesting and telling, and I've been thinking a lot about our work we've done with AlphaGo and AlphaFold in these types of systems.

▶ 7:04 Demis Hassabis Um, so there, you know, we start needing to bring in, I think we talked about this last time, more kind of like alpha go planning ideas into the mix with these large foundation models, which are now beyond just language.
▶ 17:53 Demis Hassabis Well, look, so what, and I should probably write this up, but what I sometimes talk about in talks ever since the AlphaGo match, which is now, you know, eight plus years ago, amazingly, right? 3 times in the scene
▶ 20:56 Demis Hassabis Okay, so, well, that's because I don't think we have, so if you look at AlphaGo, and I'll give you an example of there, which, which maps to today's LLMs. 2 times in the scene

▶ 19:40 Thomas Domke I'd say, you know, obviously we have seen AlphaGo and AlphaFold that already happening, but AI has improved itself, right? 2 times in the scene

▶ 6:51 Colin Murdock Um, the great example that actually, uh, from a couple of years ago that still resonates for me is a system called AlphaGo. 4 times in the scene

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