Google, every mention
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every year anyone Shawn Wang 216Alessio Fanelli 62Dylan Patel 56Yi Tay 42Will Bryk 24Bret Taylor 19Jeremy Howard 18Omar Sanseviero 16Anjney Midha 16Varun Mohan 15
Verbatim, from the transcripts: the passages where Google comes up
Orbs: Shifting Coding to Cloud — Quinn Slack, Amp Code
- ▶ 3:39 Shawn Wang At the time, that was how, it's just like a reflection of like, even pre-AI people at large companies like the Facebooks and the Googles and, uh, the Ubers of the world, they all had, uh, setups where you would mostly SSH into a machine or…
- ▶ 16:52 Quinn Slack That actually, if you can give your orb, you know, your agent running in the cloud, intentionally limited access to your resources so that it can, through something like OIDC, get a token that allows it 30 minutes of read-only access to…
- ▶ 38:50 Shawn Wang Jeff Dean just left Google. 2 times in the scene
The Inference Frontier: from 100 to 10,000 tokens per second — Sean Lie, Cerebras CTO
🔬 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.
Simulating Humanity: from Generative Agents to 8 Billion Digital Twins — Joon Sung Park, Simile AI
- ▶ 3:47 Shawn Wang Google Scholar has.
- ▶ 1:08:59 Joon Sung Park And we are, it's actually quite fun because many of them then had gone on to OpenAI, Google Gemini and these places.
🔬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.
Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
- ▶ 7:06 Shawn Wang I think one thing that is, that is a classic journey, you know, it's basically Vivo is asking the, what happens when you type Google into the browser?
The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
- ▶ 4:42 Eiso Kant I have a lot of respect to folks at Google and OpenAI and others who kind of took that confidence and, and, and kept going.
- ▶ 6:09 Eiso Kant Today, very obvious three years ago was not an opinion held or direction held at either OpenAI or Google or Anthropic or others.
- ▶ 1:26:56 Eiso Kant And Google no longer make this a question of, is their product market fit?
🔬Causal Models Need Causal Data - Xaira’s X-Cell model (Bo Wang & Ci Chu)
🔬 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
- ▶ 59:36 unnamed speaker So that's like, that's almost like Google.
Why AI Agents Don't Actually Understand You — Danielle Perszyk, Amazon AGI Lab
- ▶ 32:15 Danielle Perszyk So like Google's paradigms of intelligence, I don't know if it's a team or if it's like a meta initiative, but they've been saying for a while now, yeah, we're not actually thinking about intelligence in the right way.
Podcast Crossover: AIE, AGI, frontier lab strategy with @matthew_berman and @swyxtv
- ▶ 26:04 Shawn Wang There have been companies that were all in on AWS, or all in on GCP, and there have been other companies that were multi-cloud, they're always, you know, like, I'll use the, the Terraform, the whatever.
🔬 "The Most Innovative Diffusion Research Is Happening in Drug Discovery, Not Image Generation"
The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
- ▶ 9:34 Matei Zaharia So, you know, like log in with Google or whatever, and like actually securely share stuff.
- ▶ 21:11 Matei Zaharia Like, for example, we have a, uh, MCP server on Google Drive internally.
- ▶ 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.
AI Security After Codex and Claude Code — Zico Kolter & Matt Fredrikson, Gray Swan
- ▶ 34:08 unnamed speaker Release their own, like, you know, Llama has one, OpenAI has one, Google has one.
⚡️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
- ▶ 1:56 Ronak Malde I actually had the option to go to Google for, to work on Gemini post training. 6 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
- ▶ 1:22 Anjney Midha At Google, uh, if utilization, so there's two types of utilization usually, right, that you're measuring in these clusters. 3 times in the scene
- ▶ 10:40 Anjney Midha They did that at Google. 5 times in the scene
- ▶ 13:53 Anjney Midha Like we structured ourself essentially very similar to Google. 2 times in the scene
- ▶ 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
- ▶ 34:27 Anjney Midha Now, when he was inside Google, he was sitting next to the Gemini team. 2 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.
⚡️Making DeepSeek v4 outperform Opus 4.7 with Taste — @AhmadAwais , CommandCode.ai
- ▶ 0:44 Ahmad Awais No, I have like worked at a bunch of different places with Google, with Airbnb, mostly, mostly being like this open source guy where I have like published like 300 plus open source repositories.
When AI Agents Run Businesses — Lukas Petersson and Axel Backlund of Andon Labs
- ▶ 1:01:53 Lukas Petersson So like all the tasks are, if you have like a setup like this, which I think Figure has that, Google has that, then we're evaluating the orchestrator part and not the low level part.
- ▶ 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.
Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and Video Agents— Ethan He
- ▶ 25:31 Ethan He And then you would tap in google.com.
- ▶ 1:12:01 Ethan He So since ID, one thing is, uh, previously it was only Google and now, now like a lot of different labs were also adapting it. 2 times in the scene
- ▶ 1:28:40 unnamed speaker Other labs, Gemini, OpenAI, XAI, you can add modalities, but it's not like they're unlocking crazy capabilities, right?
⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
- ▶ 2:13 Omar Sanseviero Yeah, so actually, if you install, like, if you buy a Pixel phone or a high-end Samsung, they come with a Gemini Nano, and Gemini Nano is packed into the operating system, and Gemini Nano is really built on top of Gemma.
- ▶ 3:58 Omar Sanseviero So think of Google Cloud, Vertex, Vertex Models as a Service,
- ▶ 9:29 Shawn Wang I guess, you know, you are also, you, you have purview over all of, uh, sort of Google developer experience, and you brought the team here for the first time.
- ▶ 9:48 Omar Sanseviero This is DeepMind's home. 3 times in the scene
- ▶ 9:56 Omar Sanseviero We brought other teams from Google, not just from Bitmain that are also like using AI in one way or another. 2 times in the scene
- ▶ 11:01 Omar Sanseviero We did a Gemini diffusion last year at I.O., which is very cool because you can generate code extremely quickly, right?
- ▶ 25:21 Omar Sanseviero Colab with Transformers or Oncelot or whichever library of your choice.
- ▶ 27:19 Omar Sanseviero Now we have a property mind office as well. 7 times in the scene
AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona
- ▶ 29:22 Ivan Burazin So EKS, GKS, whatever. 2 times in the scene
The Agent-Native Cloud: 3M Users, 100K Signups/Wk, Data Centers, & Death PRs — Jake Cooper, Railway
- ▶ 18:59 Jake Cooper And so what we can do is, um, you know, we work with AWS and GCP and a few of those, you know, other, other clouds, like we can just rent. 2 times in the scene
- ▶ 53:09 Shawn Wang Google has always had the app runner.
- ▶ 1:27:55 Alessio Fanelli Sorry, Google Cloud.
FPV Drones -The Next War Is Already Here — Yaroslav Azhnyuk, The Fourth Law & Noah Smith, Noahpinion
- ▶ 7:50 Yaroslav Azhnyuk We helped start, um, a fund called D three, uh, just like, uh, I was, uh, started or co-started by Eric Schmidt, former CEO of Google.
- ▶ 57:42 Yaroslav Azhnyuk Like we were promised, uh, you know, self-driving cars, what, like, 2007, Sebastian Trun and Google, and even before that.
Inside Abridge: The AI Listening to 100 Million Doctor Visits — Abridge's Janie Lee & Chai Asawa
- ▶ 55:23 Chai Asawa And so, I think Glean's early foundation is by bringing people who had built Search at Google, the best place to have ever built Search, um, and being really creative and having a very concrete problem to solve, but with the right…
- ▶ 55:23 Chai Asawa And so, I think Glean's early foundation is by bringing people who had built Search at Google, the best place to have ever built Search, um, and being really creative and having a very concrete problem to solve, but with the right… 2 times in the scene
⚡️ Competing with ChatGPT and Sierra, building a $10M ARR company — Yasser Elsaid, Founder, Chatbase
- ▶ 13:35 Yasser Elsaid But everything else is like mainly Anthropic and Google.
- ▶ 16:58 Yasser Elsaid And then it goes back to open AI, Anthropic and Google.
The $15B Physical AI Company: Simulation, Autonomy OS, Neural Sim, & 1K Engineers—Applied Intuition
- ▶ 0:09 Peter Ludwig Part of the, the reason that, that Larry at Google decided to get into Android was they, they wanted to run Google products on a bunch of phones, and they, they bought all of these phones from the industry, and it turned out they had like,… 4 times in the scene
- ▶ 7:08 Qasar Younis Well, it's, it's, I mean, I think it's just like what, and, and, and I mean, we worked on maps and stuff, Google maps, consumer products are extremely difficult for a lot of different reasons.
- ▶ 8:18 Qasar Younis It's engineers who are fall into the, you know, sometimes very traditional, like, you know, Google, GenSui, um, but way different from, you know, other companies. 2 times in the scene
- ▶ 19:43 Peter Ludwig So, uh, I, I worked on Android at Google, by the way, many, many years ago. 5 times in the scene
- ▶ 48:58 Shawn Wang So it's like Google just released the Gemma to be model that you effective to be model.
- ▶ 1:03:15 Qasar Younis We worked, you know, together at Google, we have a long history and we don't then, which means, which is another way of saying we have big networks.
- ▶ 1:10:47 Qasar Younis They started a school and actually even Google as, as, as most, as recent as probably 10 years ago was thinking of starting a university internally, there was discussions on it.
AI-Native Engineering: 100% adoption, 5x search throughput, unlimited tokens — Mikhail Parakhin
- ▶ 19:15 Shawn Wang Yeah, I mean, I don't know what the Microsoft or Shopify thing is, but I read this paper from Google where they have a monorepo that deploys into microservices, right?
- ▶ 21:05 Mikhail Parakhin Jupyter notebooks, or, or maybe you would get, uh, you know, Python, your Python scripts, and you would munch the data, and you produce those TSV files, and you put them in some GFS or something, then you would notice that, oh, it has…
- ▶ 48:14 Mikhail Parakhin It looks, uh, looks like it's, uh, Google.
- ▶ 56:54 Mikhail Parakhin Like Google or whatever, whatever identity you have, uh, they're minimizing a friction.
- ▶ 1:05:53 Mikhail Parakhin But of course, Liquid AI is not at the scale of, uh, you know, Anthropic or Google or OpenAI in terms of compute.
⚡️ How to turn Documents into Knowledge: Graphs in Modern AI — Emil Eifrem, CEO Neo4J
- ▶ 38:34 Emil Eifrem If you, you were on our website, if you Google kind of leading media company or something like this, um, and Neo four J you're going to see this and it has like a nice little architecture in green.
- ▶ 43:01 Shawn Wang Do you know how, okay, so I got so excited about Cloud Cowork because I could use it to navigate the GCP dashboard.
Notion’s Sarah Sachs & Simon Last on Custom Agents, Evals, and the Future of Work
- ▶ 8:31 Sarah Sachs I show that thesis to so many candidates, like have it as like my Chrome autofill at this point.
- ▶ 20:15 Sarah Sachs So I think there's very few companies, maybe if you worked on Chrome, I guess, but like everything that we ship, we ship internally first and get a lot of really quick feedback, and also sometimes our dev instance is totally borked, and…
- ▶ 27:29 Sarah Sachs Model behavior engineers started with a title data specialist before I joined, when they were working with Simon on, like, Google Sheets. 2 times in the scene
⚡️ The best engineers don't write the most code. They delete the most code. — Stay Sassy
- ▶ 20:05 Stay Sassy EM I think a very good for what it's worth, heuristic for some software is if you can replace it with a Google sheet or a spreadsheet. 2 times in the scene
- ▶ 25:44 Stay Sassy EM I think I had a similar thing the other day where it was, like, I had to log into, like, a Google API project and, like, pull a key out of it.
Marc Andreessen introspects on Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"
- ▶ 4:57 Marc Andreessen Well, but, but it was just, but between 20, but between 20 17 and 20, 21, I mean, that was the era of which like companies like Google had internal chatbots, but they weren't letting anybody use them.
- ▶ 20:14 Marc Andreessen It was like a new venture, but like the money that's being deployed now at scale is Microsoft and, you know, and Amazon and Google and Facebook and NVIDIA and, you know, these, these, these, and now, you know, by the way, OpenAI and… 2 times in the scene
Moonlake: Interactive, Multimodal World Models — with Chris Manning and Fan-yun Sun
- ▶ 23:20 unnamed speaker I think Sun is also too polite to point out that, uh, both like Google's Genie, uh, demos, as well as, uh, World Labs' Marble do not have interactive worlds.
The Stove Guy: Sam D'Amico Shows New AI Cooking Features on America's Most Powerful Stove at Impulse
- ▶ 7:56 Sam D'Amico Everything from Google Glass to Oculus, you know, and other things like that, so I worked on mostly face computers before I jumped into this space.
Mistral: Voxtral TTS, Forge, Leanstral, & Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample
- ▶ 18:19 Pavan Kumar Reddy It's a little fascinating because I worked on Google Assistant, I think, while back at this point, but it's, I think, um, it's kind of like, when you take a step back, it's fascinating.
Dreamer: the Agent OS for Everyone — David Singleton
- ▶ 3:20 David Singleton Um, Hugo and I met with our other co-founder, Nicholas Chekhov, in the very early days of Android at Google, where we were building Google's first mobile apps. 3 times in the scene
- ▶ 3:45 David Singleton And then secondly, building this ecosystem of third party developers using the Play Store and able to deliver way more value on the platform than we could have delivered on our own.
- ▶ 8:27 David Singleton So, you know, for instance, this is real Google search.
Anthropic’s Felix Rieseberg on AI Coworkers, Local-First Agents, and the Future of Knowledge Work
- ▶ 3:56 Shawn Wang Like we, we did a Cloud Code episode now a year ago, but this one is like even more power user tools because it, uh, it kind of integrates much better with like Cloud and Chrome and, uh, in all the, all the other tooling, but like maybe,…
- ▶ 12:18 Shawn Wang There's cloud in Chrome.
- ▶ 14:38 Felix Rieseberg It's of course, like very tight integration with cloud and Chrome. 2 times in the scene
- ▶ 15:22 Shawn Wang And in the same, same way, I had to set up like a Google Cloud, um, account for some project I was working on and get some API key somewhere. 2 times in the scene
- ▶ 19:08 Felix Rieseberg So as a desktop app, we, in theory, with your permission, can do a lot of things on your computer, including reading your Chrome cookies, if we really want to do it, right? 2 times in the scene
- ▶ 29:53 Shawn Wang Which is the Google Chrome thing that I told you about, where I'm like, okay, you know what's better than uploading using Cloud Coworks to YouTube?
- ▶ 30:08 Shawn Wang I don't want to deal with Google Cloud, so Cloud Cowork does it for me.
- ▶ 34:02 Shawn Wang And then this is where like a lot of other tasks is like knowledge work, like replace my manual clicking, but this is no, I would normally use cloud code or cloud code for this, but because I perceive that you have better Chrome… 4 times in the scene
- ▶ 41:38 Alessio Fanelli Yeah, I think the text part, I think everybody by now has some sort of like cloud file thing, either Dropbox, Google Drive, whatever.
- ▶ 49:59 Felix Rieseberg They show up on your team as like a junior engineer who has been to like, 20 companies, not really, but like, it seems like a lot of my new grads have also briefly worked at Apple, Google, Tesla.
- ▶ 59:23 Felix Rieseberg Cloud and Chrome can work in the background, but that's like within one application.
- ▶ 1:09:35 Shawn Wang And like the, even cloud and Chrome, like having the, whatever API uses to do the background thing.
- ▶ 1:13:04 Shawn Wang I mean, I can already, you know, get it to sign up for Google Cloud to mean SAGI because Google Cloud is smart. 2 times in the scene
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