Google DeepMind, every mention
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every year anyone Shawn Wang 21Omar Sanseviero 10Ronak Malde 5Alessio Fanelli 5Dr. Jasper Zhang 4Anjney Midha 4Yi Tay 3Usama Shafqat 3Logan Kilpatrick 3Pim de Witte 2
Verbatim, from the transcripts: the passages where Google DeepMind comes up
🔬 Why Transformers Hit a Wall the Moment Physics Shows Up — Anima Anandkumar, Caltech
- ▶ 34:28 Anima Anandkumar And after that, DeepMind, Huawei, many others followed us a year later, released their own models.
🔬They Thought the Model Was Broken — Matt McPartlon & Neil Patil, Chai Discovery
- ▶ 1:26:51 Matt McPartlon I think definitely compared to like a lot of the, like the isomorphic steep minds, uh, like our research team is like, you know, in the around 10 people.
🔬 RL with Verifiable Rewards, but the Verifier is a Lab — Lila Sciences
- ▶ 4:59 Rafa Gomez-Bombarelli And that's the reason why, you know, Meta and DeepMind and Microsoft, they have teams doing
The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
- ▶ 1:02:11 Matei Zaharia And that's actually done by one of the researchers who came from DeepMind, was a co-founder of Adept, like very early LLM scaling person, but, um, but focused on, on this.
⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai
- ▶ 0:14 unnamed speaker Yeah, um, I don't think I, like, we, like, quite overlapped when, when you were at Windsurf, but obviously I was close to the Windsurf team, Varun and the other guys, and it's really surprising to see that, you know, you have sort of gone… 2 times in the scene
- ▶ 4:21 Ronak Malde And then we go there and it's, it's like Demis on the call and then like all of the like DeepMind Google people. 4 times in the scene
- ▶ 6:38 unnamed speaker I'm happy to fast forward to when was the moment you decided, you know, you have a cushy job at DeepMind. 4 times in the scene
- ▶ 22:30 Ronak Malde We've hired an amazing research team from OpenAI, from MetaSuperintelligence, from Amazon AGI, and then obviously the co-founders from DeepMind and Apple, and then also really growing out the product team as well.
Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP
- ▶ 14:20 Anjney Midha So wherever we feel like teams are making progress, especially researchers and so on who've pushed the frontier inside of existing labs like DeepMind, I find, you know, there comes a point where they feel misaligned with the dictatorship… 4 times in the scene
🔬 The Limits of AI in Science - Why We Need Self-Driving Labs — Joseph Krause, Radical AI
- ▶ 1:49 Joseph Krause I talked about concept everywhere from academia to people like Google DeepMind all the way through to pretty much every competitor that you've named in the space building an SDL.
- ▶ 22:14 Joseph Krause You see people like Google DeepMind, Microsoft, other places like Meta, either building their own lab or running experiments at someone else's lab to get that data back.
When AI Agents Run Businesses — Lukas Petersson and Axel Backlund of Andon Labs
- ▶ 1:16:14 unnamed speaker And you're already working with, you know, Enthopic, DeepMind, OpenAI, XAI.
Scaling Past Informal AI - Carina Hong, Axiom Math
- ▶ 6:18 Carina Hong Um, after AlphaProof, kind of like, we didn't see a lot of the formal math, uh, you know, results or kind of progress from Google DeepMind, and that's actually because of reasons that are not necessarily technical.
- ▶ 56:43 Carina Hong So, so the UCL Gatsby, which is a premier AI hub where a lot of people actually go, um, you know, from their ship to DeepMind, including Demis himself.
⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
- ▶ 9:48 Omar Sanseviero This is DeepMind's home. 3 times in the scene
- ▶ 27:19 Omar Sanseviero Now we have a property mind office as well. 7 times in the scene
Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
- ▶ 39:49 Shawn Wang But I will also say like, uh, you know, don't discount Meta compute spend, don't discount XAI compute spend, and don't discount DeepMind compute spend, uh, all of which you have
- ▶ 43:18 Joel Becker I think it's, it's not the case that a DeepMind model was, was at the frontier of Time Horizon at any point in twenty-twenty-five.
- ▶ 53:39 Shawn Wang On the DeepMind side, the way they phrase it is literally having open-endedness team, which I think, uh, is, is a, is a topic that re-emerges once a year.
Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis
- ▶ 1:34:29 Shawn Wang A part of the whole DeepMind story was, we will hoard all the TPUs, because we were first, you know, and so, like, why sell?
Inside AI’s $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z
- ▶ 40:12 Shawn Wang Like, I would say that the one data point I recently had against it is the DeepMind IMO goals, where, so typically, the typical answer is that this is where you start going down the neuro-symbolic path, right? 2 times in the scene
- ▶ 46:07 Sarah Wang Like if that were true, OpenAI or, or actually just DeepMind would be,
🔬Generating Molecules, Not Just Models
- ▶ 39:16 Gabriele Corso AlphaFold Free for, you know, commercial reasons that, you know, um, did mine since spinoff isomorphic lab that is now trying to become sort of like a new pharmaceutical company, uh, had decided to keep this model internal and, and only…
Goodfire AI’s Bet: Interpretability as the Next Frontier of Model Design — Myra Deng & Mark Bissell
- ▶ 46:10 unnamed speaker Um, DeepMind has opened a lot of essays on, um, Gemma.
Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay
- ▶ 0:47 unnamed speaker And then you joined GDM again, working for Cork again. 4 times in the scene
- ▶ 1:57 unnamed speaker Okay, so you rejoined GDM. 3 times in the scene
- ▶ 26:24 unnamed speaker We have other sort of researchy topics, but beyond, before I go into sort of researchy topics, I did want to maybe leave the floor to cover what else should people know about the reasoning effort that's going on at GDM?
- ▶ 1:00:03 unnamed speaker and I've seen the talk from the DeepMind guy recently. 2 times in the scene
- ▶ 1:06:21 unnamed speaker I don't, nobody said anything about DeepMind.
- ▶ 1:18:28 unnamed speaker I think we're just going to end on a very simple one on GDM Singapore. 3 times in the scene
[State of MechInterp] SAEs in Production, Circuit Tracing, AI4Science, "Pragmatic" Interp — Goodfire
- ▶ 15:51 unnamed speaker I don't like celebrity culture, but it's hard to avoid Neil's impact, and he basically said he's pivoting his team at DeepMind, uh, to no longer focus on whatever, and now it's, like, pragmatic retributability. 2 times in the scene
[State of AI Papers 2025] Fixing Research with Social Signals, OCR & Implementation — Team AlphaXiv
- ▶ 13:50 unnamed speaker I saw this paper, it was earlier this year, called Agent Laboratory, um, from Sam Schmidt Go from DeepMind, and the idea is like, hey, like, what if we basically automate the scientific process itself, you know, like, basically it would…
[State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI
- ▶ 10:43 unnamed speaker Like, what are, what are, you meet your, your peer at Anthropic and DeepMind and, like, what, what are you talking about? 2 times in the scene
World Models & General Intuition: Khosla's largest bet since LLMs & OpenAI
- ▶ 1:52 unnamed speaker DeepMind has been working on this with Genie one two and three and SEMA one and two, and this year, Okon AI seemed to finally agree
- ▶ 33:19 Pim de Witte Yeah, I, I think the, um, yeah, we're very friendly with DeepMind. 2 times in the scene
Anthropic, Glean & OpenRouter: How AI Moats Are Built with Deedy Das of Menlo Ventures
⚡ Inside Google Labs: Building The Gemini Coding Agent — Jed Borovik, Jules + AIE CODE Preview
- ▶ 4:18 unnamed speaker Can you, uh, since we're talking about Google Labs, I am actually unclear about where Google Labs starts and the rest of, and then DeepMind and the rest of Google, like what, what is the org chart there? 3 times in the scene
- ▶ 27:52 Jed Borovik So we have, um, and, you know, coding agents are,
⚡️ The State of AI Engineer Hiring: Cheating, AI Adoption,Junior Devs — Vivek Ravisankar, HackerRank
- ▶ 30:12 unnamed speaker So Yi Teh is a friend of mine and he's, uh, leading thinking at, uh, DeepMind.
Priscilla Chan and Mark Zuckerberg: Frontier AI + Virtual Biology To Solve All Diseases
- ▶ 23:59 Mark Zuckerberg So, I mean, you mentioned, um, the work that DeepMind did on AlphaFold, which is great.
A Technical History of Generative Media
- ▶ 7:02 Batuhan Taskaya So that was like another big jump for us, like partnering with Google DeepMind for VO three.
Better Data is All You Need — Ari Morcos, Datology
- ▶ 2:10 Shawn Wang You were at GDM.
- ▶ 33:35 Ari Morcos And this is just like a fundamental thing that I saw at Meta, I saw at DeepMind, and I've heard at all these other places.
The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai)
- ▶ 22:35 Nathan Lambert I think, I don't know if Sam Allen was talking about it, but there's this retro paper from deep mind and other architectures that people have been pulling in the discussion again, which is like, you have a very small model with a very big…
🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul R)
- ▶ 34:35 Varun Mohan It's this paper that came out of deep mind.
⚡️Math Olympiad gold medalist explains OpenAI and Google DeepMind IMO Gold Performances
- ▶ 1:26 unnamed speaker And maybe, yeah, you know, the, the sort of headline, you know, not to bury the lead, is that, you know, both DeepMind and OpenAI have claimed 6 times in the scene
- ▶ 4:40 Dr. Jasper Zhang Yeah, so, uh, I have a feeling that this year, um, there, there, at least, like, an AI model can win, um, can win IMO gold medal, because, uh, last year, uh, by using, like, formal verification, formal language, uh, Google DeepMap can, uh,… 4 times in the scene
- ▶ 24:04 unnamed speaker GDM was a bit more polished. 2 times in the scene
- ▶ 27:34 unnamed speaker Is there any credible speculation on what has been the breakthrough that, um, that either OpenAI or GDM have done in order to achieve this? 2 times in the scene
Information Theory for Language Models: Jack Morris
- ▶ 2:16 Jack Morris So like, you know, Google, DeepMind, they're doing great work.
The Shape of Compute (Chris Lattner of Modular)
- ▶ 50:57 Chris Lattner It's pretty impressive, and for a while they were dealing with organizational drama and Google Brain versus DeepMind and some of this stuff, and I, I can't speak to what they've done, but it seems like they're a much more unified team,…
- ▶ 1:01:17 Chris Lattner Well, and so, uh, so my, my experience with RL systems were like at scale, DeepMind style, AlphaGo and things like this, right?
⚡️Launching AI Diplomacy: the hardest LLM Game Benchmark yet - Alex Duffy
- ▶ 9:02 unnamed speaker So, uh, you know, more broadly, I guess I'll set some context as in terms of like the history of games and LLMs, uh, obviously OpenAI has played Dota, DeepMind has played Go, and like people have been playing chess since forever.
[AIEWF Preview] Gemini in 2025 and Realtime Voice AI
- ▶ 12:04 Logan Kilpatrick I have a, an angle of an answer to this question, which is I, I talked to Korai this morning, who's, who's our boss's boss, the CTO at DeepMind.
- ▶ 18:35 unnamed speaker One of the fun things about partnering with Stress and DeepMind is we work on this open source framework that people use to build these kind of production voice systems, and so we try to solve problems at the framework level like turn…
⚡️Multi-Turn RL for Multi-Hour Agents — with Will Brown, Prime Intellect
- ▶ 25:50 Will Brown But, like, towards the end of the 20 tens, like, we had, like, AlphaGo and DeepMind doing all this multi-agent RL stuff that was, like, really cool.
Voice AI Masterclass — Kwindla Hultman Kramer and swyx
- ▶ 3:32 Kwindla Hultman Kramer We'll have people from open AI and from deep mind and from Nvidia and from AWS doing office hours.
⚡️Factorio Learning Environment: the ultimate Game Agent Eval — Jack Hopkins
- ▶ 22:51 Alessio Fanelli I remember when DeepMind was building AlphaStar, the StarCraft thing, one of the big advantages that it had is that you can, again, like, you know, so precisely click on units and manage them versus a human kind of has some margin of error.
The #1 SWE-Bench Verified Agent
- ▶ 29:26 Shawn Wang Like if Google, if Demis or whoever at DeepMind came and asked us like, okay, what do we need to ship in order to like take Mindshare from here?
The Magic of LLM Distillation — Rishabh Agarwal, Google DeepMind
- ▶ 0:11 Shawn Wang Hey, and today we are very happy to have Rishi Agarwal from GDM. 2 times in the scene
Gemini 2.0 Flash and Flash Thinking: the new SOTA models for the agentic era
- ▶ 8:34 Logan Kilpatrick He's, he's been a long time, uh, deep mind research scientist, was, was previously a pre-training person. 2 times in the scene
- ▶ 27:03 unnamed speaker I also know that DeepMind started a process with Hannah Fry. 2 times in the scene
2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ▶ 27:45 Shawn Wang And this is a DeepMind paper that actually focuses on collusion between AI agents, uh, by hiding messages in the text that they generate. 2 times in the scene
- ▶ 51:24 Shawn Wang I would say that Gemini's approach compared to OpenAI, Gemini seems, or DeepMind's approach to video seems a lot fully, more fully fledged than OpenAI. 4 times in the scene
- ▶ 1:40:46 Shawn Wang So DeepMind, when they announced Gemini of two point O, they announced DeepResearch, but also Project Mariner, which is a browser agent, which is their computer use type thing, as well as Jules, which is their code agent.
Agents @ Work: Dust.tt — with Stanislas Polu
- ▶ 8:21 Shawn Wang There's a bit of work with, like, Lean, and then with, uh, you know, more recently with, uh, with DeepMind doing, like, scoring, like, Silver on the IMO. 2 times in the scene
- ▶ 13:54 Stanislas Polu What has been useful to the team and, and with the DeepMind results shows that it was the right approach.
In the Arena: How LMSys changed LLM Benchmarking Forever
- ▶ 23:12 Alessio Fanelli We also had Nicholas Carlini from the mind on the podcast.
How NotebookLM Was Made
- ▶ 1:54 Raiza Martin We work super closely with DeepMind.
- ▶ 14:28 Usama Shafqat Like Ryza said earlier, like we work with the DeepMind audio folks pretty closely.
- ▶ 56:30 Usama Shafqat For example, is also the models built by the same like sort of deep mind speech team. 2 times in the scene
- ▶ 1:10:52 Alessio Fanelli It's funny because we had a Nicola Scarlini from DeepMind on the pod 2 times in the scene
Singapore: the AI Engineer Nation — with Minister Josephine Teo
- ▶ 39:43 Shawn Wang Let's go and get Anthropik, Google DeepMind, all these, all these guys, the AI creators to move to Singapore.
Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
- ▶ 35:23 Shawn Wang Do you have thoughts on, uh, alpha proof that the new DeepMind paper?
llm.c's Origin and the Future of LLM Compilers - Andrej Karpathy at CUDA MODE
- ▶ 0:36 unnamed speaker An ex-Google Brain, ex-DeepMind, ex-Tesla, Mr.
The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org
- ▶ 28:53 Shawn Wang That's a deep mind one.
Building AGI with OpenAI's Structured Outputs API
- ▶ 42:58 Alessio Fanelli We had one episode with, um, Nicola Scarlini from DeepMind, and we actually talked about how some people don't actually get to the
Answer.ai & AI Magic with Jeremy Howard
- ▶ 14:52 Jeremy Howard You know, multiple of Stanford, Meta, DeepMind, OpenAI, Berkeley, Oxford. 2 times in the scene
Segment Anything 2: Memory + Vision = Object Permanence — with Nikhila Ravi and Joseph Nelson
- ▶ 1:29 Nikhila Ravi And in my machine learning class in undergrad, I remember one day our professor came in and that was when Google acquired DeepMind.
Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
- ▶ 52:10 Thomas Scialom I think recently there's a paper from DeepMind on mixture of experts with, like, a skip layer, mixture of
The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
- ▶ 32:00 Yi Tay So you, you, like, work with them, like, the big goal is not about, like, I learned this, I mean, this is, like, probably a career mistake in my early days, it was that, like, you know, instead of, like, focusing on, like, so-called…
- ▶ 41:20 Yi Tay so I, I met some of my other co-founders while we were collaborating at DeepMind. 2 times in the scene
LLM Asia Paper Club Survey Round
- ▶ 41:57 unnamed speaker Um, this is now seen as the most, uh, promising line of mecanterp work within both Anthropic and DeepMind.
Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
- ▶ 1:05:24 Soumith Chintala Um, OpenAI stopped open sourcing their stuff, and, ah, DeepMind kind of, you know, didn't, like, you know, all the other cloud and all these other, like, providers, they, they didn't, ah, open source their stuff.
The Four Wars of the AI Stack - Dec 2023 Recap
- ▶ 19:14 unnamed speaker Andre Karpathy, um, at NeurIPS highlighted this paper from DeepMind where, um, they were, they were bootstrapping synthetic data that could be verifiably, uh, proven correct.
The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
- ▶ 0:27 unnamed speaker On your PhD, and you also interned at FAIR and DeepBind.
- ▶ 14:06 Nathan Lambert I think the reason why it's not really talked about is just because the RLHF techniques that people use were built in, like, labs like OpenAI and DeepMind, where there are some of these people, they have, they, these places do a pretty…
The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
- ▶ 6:05 Dylan Patel That's like a very closely guarded secret, and most people that work at Google DeepMind don't even know that number, right?
- ▶ 1:01:57 Dylan Patel They left the, like, you know, a lot of, most people left the culture of, like, Google Brain and DeepMind and, and decided to build this, like, company that's crazy cool, right?