AlphaGo, every mention

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

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▶ 15:31 unnamed speaker That's what's done in alpha go in chess. 2 times in the scene
▶ 21:38 unnamed speaker Because, um, it's because I want to get to the alpha go, uh, uh, the way that they solve this and you're right. 5 times in the scene
▶ 35:10 unnamed speaker So just imagine, uh, so why alpha go, uh, doesn't scale.
▶ 37:04 unnamed speaker I mean, in a sense, the chess and alpha go state space is already like more than the number of atoms in the universe or something to that effect.
▶ 1:08:12 unnamed speaker A lot of these are doing some sort of expensive planning step, and we're doing some sort of, like, uh, we're, we're kind of hacking around it with this retraining process and synthetic data, but even so, like, to really get maximum…

▶ 1:17 Garry Tan AlphaGo beat a world champion at Go.
▶ 6:13 Garry Tan AlphaGo, AlphaZero, and MuZero. 4 times in the scene
▶ 18:38 Demis Hassabis What I often say about that is, like, if we look at the things we've done, like AlphaGo, so obviously, very famously, you'll all know about the move-thirty-seven in game two, and for me, I was waiting for a moment like that to start the… 2 times in the scene
▶ 33:39 Demis Hassabis Five minutes spare, but the lesson I've learned from all the alpha projects we've done, specifically alpha go and alpha fold is, um, I think the techniques we have and the problems I look like to look for are great in, if this, if the… 2 times in the scene

▶ 43:01 François Chollet It's actually very similar to the principles that analyze something like AlphaGo or AlphaZero.

▶ 19:10 Garry Tan But AlphaGo didn't either. 2 times in the scene
▶ 39:45 Calvin French-Owen I would say, uh, it does the most stuff that humans don't do kind of in this alpha go sense where it's like, oh, it'll write a Python script to like modify some part of the file system.

▶ 6:25 Jared Kaplan So, uh, a researcher about four years ago decided to study scaling laws for AlphaGo, basically putting together two very, very high profile AI successes, GPT-III and scaling for pre-training and AlphaGo. 2 times in the scene
▶ 8:38 Jared Kaplan So if you put, say, AlphaGo on this figure, it would be very, very far below the x-axis, because although AlphaGo was super intelligent, it was better than any Go player at playing Go, it was, ah, 2 times in the scene

▶ 1:54 Aravind Srinivas That was the rage at the time because of AlphaGo and DeepMind.

▶ 15:16 Diana Hu And they implemented a lot of, um, kind of reinforcement learning type of techniques in there, which I think were also inspired early days from AlphaGo and AlphaZero as well on how it solved Go.

▶ 8:42 Murray Shanahan And that certainly I think is going to be true with Go and with, uh, with AlphaGo. 4 times in the scene
▶ 47:06 Murray Shanahan Yeah, yeah, that was Tori, Tori, who was one of the people on the AlphaGo, the,

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