DeepMind

also referred to as: deep mind

includes DeepMind Lab

11 statements across 5 episodes · 4 bullish · 0 bearish · 5 people on the record · first statement Jun 16, 2017 by Tim Hwang · said 19 times in 7 episodes since 2017 · across every show →

Mentions by year, the whole family

brought up most by Craig Cannon (4), Garry Tan (3), Tim Hwang (2), Sam Altman (2), Karri Saarinen (2), Demis Hassabis (2), Bob McGrew (2), Murray Shanahan (1)

tap a year for its mentions
0042832017201820192020202120222023202420252026episodesmentions
0232017201820192020202120222023202420252026episodes it came up in
002.51.5532017201820192020202120222023202420252026episodesmentions per episode
2026 5 mentions in 1 episode
2025 5 mentions in 3 episodes 2 per episode
2024 2 mentions in 1 episode
2017 7 mentions in 2 episodes 4 per episode

every mention, scene by scene, with the transcript →

Everything said about DeepMind, oldest first

Jun 16, 2017 neutral
Assertion Partly supported
Hwang: DeepMind demonstrated AI systems learning encryption without explicit programming
“There's a paper that came out from DeepMind, I think, earlier this year, that was kind of, like, if you get two machines to talk to one another, they will eventually, like, and you can set up another computer to basically say, like, oh, I can read what you're …”
Tim Hwang Jun 16, 2017 ▶ 22:18 At the Intersection of AI, Governments, and Google - Tim Hwang · Y Combinator
Jun 28, 2017 positive
Assertion Supported
Shanahan: AlphaGo's Move 37 revolutionized top-level Go strategy
“So we've already seen that with our, with AlphaGo in the match with Lee Sedol. So as you probably know, there was a famous move in the second match against Lee Sedol, move 37, where all the commentators, all these sort of nine Dan masters were saying, saying, …”
Murray Shanahan Jun 28, 2017 ▶ 9:27 Ex Machina's Scientific Advisor - Murray Shanahan · Y Combinator
Jun 28, 2017 positive
Opinion
DeepMind's DQN is arguably one of the first artificial general intelligences
“To my mind, DQN is in a sense, one of the very first general intelligences because it learns completely from scratch. You can throw A whole variety of problems at it, and it, you know, it doesn't always do that well, but in many cases it does pretty well.”
Murray Shanahan Jun 28, 2017 ▶ 45:11 Ex Machina's Scientific Advisor - Murray Shanahan · Y Combinator
Apr 25, 2018 neutral
Disclosure
Brundage: FHI relies on DeepMind and OpenAI ties, lacks major compute
“At the Future of Humanity Institute, we have a lot of relationships with organizations like DeepMind and OpenAI and others but, you know, we don't have, like, a ton of, you know, GPUs or TPUs here like, running the latest experiments outside of, you know, some…”
Miles Brundage Apr 25, 2018 ▶ 31:17 A.I. Policy and Public Perception - Miles Brundage and Tim Hwang · Y Combinator
Jan 31, 2025 neutral
Opinion
McGrew: DeepMind was top-down while Google Brain replicated unguided academia
“And so early on the deep mind culture was I, you know, a caricature is Demis had a big plan and he wanted to hire a bunch of researchers so he could tell them to move forward with his plan. And Google brain said, let's rebuild academia. Let's like bring in all…”
Bob McGrew Jan 31, 2025 ▶ 5:37 Bob McGrew: AI Agents And The Path To AGI · Y Combinator
Jul 15, 2025 positive
Assertion Supported
Jumper: A two-day open-source hack created the best protein interaction predictor
“The tweet on the left from Yoshitaka Morawaki came out two days after our code was available. We had predicted the structure of individual proteins, but we considered, we were working on building a system that would predict how proteins came together. But, ah,…”
John Jumper Jul 15, 2025 ▶ 21:28 Nobel Laureate John Jumper: AI is Revolutionizing Scientific Discovery · Y Combinator
Jul 15, 2025 positive
Opinion
Jumper: AlphaFold made structural biology 5% to 10% faster
“I like to think that our work Made the whole field of what's called structural biology, biology that deals with structures, you know, five or 10% faster. But the amount to which that matters for the world is enormous.”
John Jumper Jul 15, 2025 ▶ 25:21 Nobel Laureate John Jumper: AI is Revolutionizing Scientific Discovery · Y Combinator
Jul 15, 2025
Assertion Supported
Jumper: Equivariance explains only 2-3 GDT of AlphaFold 2's 30-point gain
“The sixth row there, no IPA, invariant point attention, that removes all the equivariance in alpha fold, and it hurts a bit, but only a bit. Alpha fold itself on this GDT scale that you can see on the left graph, alpha fold two was about 30 GDT better than alp…”
John Jumper Jul 15, 2025 ▶ 15:34 Nobel Laureate John Jumper: AI is Revolutionizing Scientific Discovery · Y Combinator
Jul 15, 2025
Assertion Supported
Jumper: AlphaFold database scaled from 300,000 to 200 million protein predictions
“One is that we open source the code and we actually open source the code about a week before we released a database of predictions starting originally at 300,000 predictions and later going to two hundred million. Essentially every protein from an organism who…”
John Jumper Jul 15, 2025 ▶ 18:16 Nobel Laureate John Jumper: AI is Revolutionizing Scientific Discovery · Y Combinator
Jul 15, 2025
Insight
Jumper: Transformative AI systems come from many mid-scale ideas, not one
“It isn't about one idea. It's about many mid-scale ideas that add up to a transformative system, and it's very, very important when you're building these systems to think about what we would call in this context biological relevance.”
John Jumper Jul 15, 2025 ▶ 16:00 Nobel Laureate John Jumper: AI is Revolutionizing Scientific Discovery · Y Combinator
Jul 15, 2025
Assertion Supported
Jumper: Experimental protein structure determination takes 1-2 years and $100K
“The green is the experimental structure that took someone a year or two of effort. If you want to put an economic value on it, on the order of a 100,000 dollars”
John Jumper Jul 15, 2025 ▶ 10:57 Nobel Laureate John Jumper: AI is Revolutionizing Scientific Discovery · Y Combinator
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 300 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.