Google DeepMind, every mention
23 scenes · ← back to Google DeepMind
tap a year for its mentions
every year anyone Garry Tan 5François Chollet 3Sam Altman 2John Jumper 2Ian Fisher 2Aravind Srinivas 2Wojciech Zaremba 1Raza Habib 1Olivier Pomel 1Miles Brundage 1
Verbatim, from the transcripts: the passages where Google DeepMind comes up
How Two French Engineers In New York Built The Company That Monitors The Entire Cloud · Y Combinator
- ▶ 2:17 Olivier Pomel Uh, I mean, I mean, now, you know, look, now there's, there's, uh, you know, DeepMind and OpenAI and Meta.
Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough · Y Combinator
- ▶ 1:34 Garry Tan Today, Demis leads Google DeepMind, where he's building Gemini and pushing toward the same goal he set when he was a teenager, artificial general intelligence.
- ▶ 3:25 Demis Hassabis So of course at DeepMind, at Google DeepMind, we work on both those things.
- ▶ 6:08 Garry Tan DeepMind has historically leaned into reinforcement learning and search. 2 times in the scene
- ▶ 15:33 Garry Tan What does DeepMind's internal research tell you about where agent capabilities actually are right now versus, you know, sort of the hype out there?
- ▶ 38:07 Garry Tan So for that, I think everyone in this room thanks you and the folks at DeepMind very, very deeply from the bottom of our hearts.
François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
- ▶ 32:46 François Chollet And even before OpenAI, uh, DeepMind worked a lot on video game, uh, uh, you know, solving video games, yeah, DeepIsle, uh, and they were the first to do 2 times in the scene
The Powerful Alternative To Fine-Tuning · Y Combinator
- ▶ 0:52 unnamed speaker Previously, he spent a decade as a researcher at Google DeepMind and founded a mobile dev tools company through YC years ago.
- ▶ 13:38 Ian Fisher Yeah, and so that definitely varies per problem, but, uh, what we've seen, uh, in fact, uh, our, our last paper at DeepMind was not doing this recursive self-improving stuff, but we were, um, we were showing that you could build these…
- ▶ 18:07 Ian Fisher Made a very hard switch into just doing machine learning research, uh, and did that for, you know, about a decade at Google and then, uh, Google and then DeepMind.
Anthropic Head of Pretraining on Scaling Laws, Compute, and the Future of AI · Y Combinator
- ▶ 12:51 Ankit Gupta Like, FAIR and DeepMind were hiring lots of people out of top PhD programs and doing lots of things.
Nobel Laureate John Jumper: AI is Revolutionizing Scientific Discovery · Y Combinator
- ▶ 2:59 John Jumper And after this, I joined Google DeepMind. 2 times in the scene
Aravind Srinivas: Perplexity's Race to Build Agentic Search · Y Combinator
- ▶ 19:40 David Lieb We look for deep mind researchers also.
François Chollet: How We Get To AGI · Y Combinator
- ▶ 27:56 François Chollet Or more recently, the AlphaEvol system from DeepMind.
Sam Altman: The Future of OpenAI, ChatGPT's Origins, and Building AI Hardware · Y Combinator
- ▶ 0:52 Sam Altman I was, I had Gary's job then, and we were, you know, there was like all this other great stuff to do that would work, all these great startups, and AGI was like, kind of, a pipe dream, and also, even if it was possible, DeepMind seemed…
Cursor CEO: Going Beyond Code, Superintelligent AI Agents, And Why Taste Still Matters · Y Combinator
- ▶ 16:18 Michael Truell It's actually one that DeepMind's worked on a bit too.
How To Build The Future: Aravind Srinivas · Y Combinator
- ▶ 1:54 Aravind Srinivas That was the rage at the time because of AlphaGo and DeepMind.
- ▶ 5:11 Aravind Srinivas When DeepMind had this, um, Android environment that they built, where, like, they, they kind of wanted to prototype, uh, mobile app using agent, uh, that knows when to use what apps and control the apps.
Bob McGrew: AI Agents And The Path To AGI · Y Combinator
- ▶ 3:23 Bob McGrew And so DeepMind went after StarCraft, OpenAI went after Dota II.
How To Build The Future: Sam Altman · Y Combinator
- ▶ 12:28 Sam Altman The DeepMind had a few, like, impressive results, but a little bit of a different direction.
The REAL potential of generative AI · Y Combinator
- ▶ 14:19 Raza Habib Like the, you know, OpenAI for all the criticism, criticism they get, they actually have been pretty open and DeepMind have been pretty open.
A.I. Policy and Public Perception - Miles Brundage and Tim Hwang · Y Combinator
- ▶ 31:17 Miles Brundage So for example, at the Future of Humanity Institute, we have a lot of, uh, relationships with organizations like DeepMind and OpenAI and others, um, but, you know, we don't have, like, a ton of, you know, GPUs or TPUs here, uh, like,…
An AI Primer with Wojciech Zaremba · Y Combinator
- ▶ 5:59 Wojciech Zaremba These are, uh, these are, like, the initial results are coming from DeepMind, uh, and, um, but, but simultaneously, um, simultaneously, it takes extremely long time, like, in terms of real-time execution, to learn to play computer games,…