Google, every mention
331 scenes (2025), the whole family · ← back to Google
tap a year for its mentions
every year 2025 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
[State of Research Funding] Beyond NSF, Slingshots, Open Frontiers — Andy Konwinski, Laude Institute
- ▶ 5:02 Andy Konwinski The Google co-founders, Larry and Sergey, obviously took research, NSF funded research, by the way, and, uh, turned it into one of the most iconic companies in the history of humanity.
- ▶ 13:51 Andy Konwinski I mentioned Google earlier, Databricks, all these researchers came from NSF funding, and it's just been
[State of Code Evals] After SWE-bench, Code Clash & SOTA Coding Benchmarks recap — John Yang
- ▶ 17:21 unnamed speaker Yeah, with, uh, Google actually just, uh, came out their own version.
[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 Context Engineering] Agentic RAG, Context Rot, MCP, Subagents — Nina Lopatina, Contextual
- ▶ 2:32 unnamed speaker Gemini launched, uh, Gemini Nano in Chrome this year.
[State of Evals] LMArena's $1.7B Vision — Anastasios Angelopoulos, LMArena
- ▶ 13:20 Anastasios Angelopoulos I mean, that moment alone changed Google's like roadmap. 2 times in the scene
[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
One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundation
- ▶ 1:44 David Soria Parra And then like, you had this like inflection point around April with like Sam Altman and Satya and Sundar and all, um, posting about like MCP and that they're going to adopt MCP at Microsoft, at Google.
- ▶ 9:50 David Soria Parra All they know is like, oh, in the morning, I'm going to go log in with Google for, and then get access to all my work stuff.
- ▶ 12:00 David Soria Parra We literally just spent the last two days at the Google offices with a bunch of, like, scene engineers from Google, Microsoft, AWS, Anthropic, OpenAI. 3 times in the scene
- ▶ 16:32 David Soria Parra You know, Google has a different set of problems, like Microsoft and, and a lot of it comes from like just the ways of building things.
- ▶ 52:13 Alessio Fanelli But I thought Chrome developer, uh, tool, the new Chrome one is like the new, right?
- ▶ 1:32:52 Jim Zemlin So when we started CNCF, I got a call from, I think it was Urs Holzl and Brian Stevens, who were over at Google. 2 times in the scene
- ▶ 1:35:53 David Soria Parra Like if I really take a neutral look at like what just happened in the industry with creating this, it's like you have Google, Microsoft, Amazon, um, uh, Block, Bloomberg, Cloudflare, OpenAI, Anthropic.
Steve Yegge's Vibe Coding Manifesto: Why Claude Code Isn't It & What Comes After the IDE
- ▶ 11:26 unnamed speaker And just to pre-warm you, I also want to talk about just Google in general and how this Gemini revolution has kind of changed Google's image. 3 times in the scene
- ▶ 14:39 unnamed speaker I don't know if you saw anti-gravity from Google the other day, uh, we shot two days ago.
- ▶ 15:37 Steve Yegge And, uh, but there's, there will be more coming, I guess, uh, Google's as well, right?
- ▶ 28:00 Steve Yegge And then, of course, I've done platforms and Google and ads and this and that. 2 times in the scene
- ▶ 28:20 unnamed speaker One thing I wanted to get you to comment on is Google. 10 times in the scene
- ▶ 28:23 unnamed speaker One of my favorite memories, which is like just before you retired, was talking about how Google still doesn't get it, Google Cloud in particular, how they shut down the deprecation policy.
SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
- ▶ 35:16 Joseph Nelson And maybe the Google team taking some notes to improve a Gemini and other series of models based on what SAM-III demonstrates here.
⚡️Jailbreaking AGI: Pliny the Liberator & John V on Red Teaming, BT6, and the Future of AI Security
AI to AE's: Grit, Glean, and Kleiner Perkins' next Enterprise AI hit — Joubin Mirzadegan, Roadrunner
- ▶ 16:31 Joubin Mirzadegan Where everybody has promised, Google included, like the best companies in the world, that they're going to solve enterprise search once and for all.
- ▶ 27:10 Joubin Mirzadegan That they want to both build Google class product and Salesforce class distribution.
The Future of Email: Superhuman CTO on Your Inbox As the Real AI Agent (Not ChatGPT) — Loïc Houssier
- ▶ 29:57 Loïc Houssier Um, we are a GCP shop.
- ▶ 49:28 Shawn Wang So I, based on the different emails I have, logins I have, I switch between Atlas and Chrome and Arc. 2 times in the scene
- ▶ 58:11 Shawn Wang Obviously has privileged access to all of Google.
The Great Evals Debate — Ankur Goyal & Malte Ubl
- ▶ 1:05 Malte Ubl Like, I think the, like, one maybe important background on me is also that I worked on Google search just before leaving for Vercel. 2 times in the scene
- ▶ 8:51 Shawn Wang This is not like, this sounds like a made up term, but it's a real team at Google that is actually exploring open-endedness.
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
After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
- ▶ 9:01 Justin Johnson I mean, I actually even, even before grad school, like I wanted to do computer vision and I reached out to a team at Google and like wanted to potentially go and try to do computer vision, like out of, out of undergrad.
- ▶ 15:59 Fei-Fei Li It turned out that Google at that time was also simultaneously doing it, and a reporter, it was John Markov from New York Times, was breaking the Google story, but he by accident heard about us. 3 times in the scene
⚡️ Building the AI Hardware Engineer with Matthias Wagner, Co-founder of Flux
- ▶ 4:44 Matthias Wagner And that like an agent here with Rack, right, would like supercharge the process and you don't have to go to Google anymore.
- ▶ 21:10 Matthias Wagner Now it's going to go do Google search here in Chrome.
- ▶ 21:10 Matthias Wagner Now it's going to go do Google search here in Chrome.
- ▶ 41:44 Matthias Wagner Google search is also a big source of users, right?
Anthropic, Glean & OpenRouter: How AI Moats Are Built with Deedy Das of Menlo Ventures
- ▶ 10:15 Deedy Das And the last thing I'll say is you think about from an anthropic engineer's perspective, you joined a big AI lab to work on models, not to build Google drive connectors, right?
- ▶ 12:01 Deedy Das Very, very powerful, critical way of how like Google, Bing, and all the above work. 2 times in the scene
- ▶ 14:45 Deedy Das If you look at how Google did it, they had Chrome. 2 times in the scene
- ▶ 16:14 Deedy Das So if you were searching on Google Drive, we will do a Glean replace of the search bar and the page pretty natively. 2 times in the scene
- ▶ 20:25 Deedy Das Like, cause take OpenAI and DeepMind as a comparison point.
- ▶ 1:02:47 Alessio Fanelli But I mean also, like, Inception, it's like, if I Google Inception, it's not like I'm finding it anyway.
- ▶ 1:18:41 Shawn Wang so like what OpenAI did to Google 3 times in the scene
⚡ Inside GitHub’s AI Revolution: Jared Palmer Reveals Agent HQ & The Future of Coding Agents
- ▶ 28:46 unnamed speaker I mean, it should be as easy to close as Markdown and Chrome isn't that good at the performance side of things yet.
⚡ Inside Google Labs: Building The Gemini Coding Agent — Jed Borovik, Jules + AIE CODE Preview
- ▶ 2:19 unnamed speaker Uh, so you've been at Google for a while, nine years. 10 times in the scene
- ▶ 2:39 Jed Borovik So I worked on search for a long time, uh, and specifically kind of like news and freshness. 2 times in the scene
- ▶ 4:05 Jed Borovik And that was to join the Google labs and jewels where we were, you know, right around then we're starting to build 5 times in the scene
- ▶ 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
- ▶ 14:00 unnamed speaker Uh, is there a process within Google labs to promote things when you feel like there's, there's some traction? 2 times in the scene
- ▶ 14:16 Jed Borovik And it's really, um, and for us, IL was kind of a little bit of a turning point. 2 times in the scene
- ▶ 16:44 unnamed speaker You can always do that at your company conferences, obviously IO.
- ▶ 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
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.
How Zyphra went all-in on AMD + Why Devs feel faster with AI but are slower — with Quentin Anthony
- ▶ 28:07 Quentin Anthony and it's faster to do over Google.
- ▶ 33:16 unnamed speaker Model speed me up on that too.
⚡️ Ship AI recap: Agents, Workflows, and Python — w/ Vercel CTO Malte Ubl
- ▶ 0:16 Malte Ubl It rhymes with Google. 3 times in the scene
- ▶ 0:18 unnamed speaker Uh, so perfect that you, uh, worked on search at Google and AMP and Wiz, which like, I think still people don't know enough about Wiz.
- ▶ 3:45 unnamed speaker I don't know if there's a version of this at Google.
- ▶ 27:33 Malte Ubl Like, so I think that's, that's very much in the, in the, in like the soft case where like you give it a tool for LinkedIn, you give it a more generic tool for Google, give it a bit of an objective and like dequalify, like how, what do…
- ▶ 36:11 Malte Ubl I mean, I came directly from Google and I think I had some insights there of what was happening and, but like 2 times in the scene
The Agents Economy Backbone - with Emily Glassberg Sands, Head of Data & AI at Stripe
- ▶ 1:00:56 Emily Glassberg Sands And, you know, what I like about that is like, and it's managed centrally, like, you know, there's, you know, it's managed centrally, and it plugs into, we've since killed that GoLLM thing I talked about, and we did a new, like, you know,…
- ▶ 1:09:59 Emily Glassberg Sands So, I mean, you could just even imagine, like, pulling into BigQuery or whatever.
Breaking AI to Fix It: Ian Webster's Journey from Discord's Clyde to Promptfoo's $18M Series A
- ▶ 4:46 Ian Webster The inspiration came from actually like 13 years ago in my Google days, I used to work on improving search.
- ▶ 18:55 Ian Webster Um, it's, it's basically a lot of Google Scholar alerts.
⚡ Open Model Pretraining Masterclass — Elie Bakouch, HuggingFace SmolLM 3, FineWeb, FinePDF
- ▶ 10:53 Elie Bakouch Uh, we know, for example, that like, uh, Google is using, uh, I mean, we don't know, but like on like old paper, uh, Google are using like other factor, but recently before this, uh, King K-II, everyone was using, uh, Adam.
- ▶ 33:54 Elie Bakouch Yeah, I mean, MOE, like, uh, Google is kind of a pioneer in this MOE field.
Terminal-Bench: Pushing Claude Code, OpenAI Codex, Factory Droid, et al to the limits
DevDay 2025: Apps SDK, Agent Kit, MCP, Codex and why Prompting is More Important than Ever
- ▶ 26:55 Alessio Fanelli Auth is like the biggest thing, like, if you add Gmail and Calendar and Drive, you have to like,
- ▶ 26:55 Alessio Fanelli Auth is like the biggest thing, like, if you add Gmail and Calendar and Drive, you have to like,
The antidote to AI fatigue — Answer.ai Solveit
- ▶ 4:59 Jeremy Howard No AWS, no Google Cloud, whatever.
- ▶ 12:40 Jeremy Howard Spin up and learn about with the help of AI, and with the help of experiments, and with the help of iterations, and they're not limited by what SAS APIs you have, and you don't have sudden horrifying bills, because accidentally you ran a…
- ▶ 27:21 Jono Whitaker Yeah, and, um, it's also, like, this, this task is small enough that you could almost do this, I think you could give this to an agent today, and it could quite confidently build you a, a smell search engine, except that there's pieces…
- ▶ 27:21 Jono Whitaker Yeah, and, um, it's also, like, this, this task is small enough that you could almost do this, I think you could give this to an agent today, and it could quite confidently build you a, a smell search engine, except that there's pieces… 2 times in the scene
Taste is your Moat (Dylan Field of Figma)
- ▶ 6:27 Dylan Field And then, uh, watching his work when he was at Google, some of the great blog posts he was doing, as well as starting to listen in on more of people around me and the conversations that were happening around AI and machine learning got me…
⚡️Raising $1.1b to build the fastest LLM Chips on Earth — Andrew Feldman, Cerebras
- ▶ 13:25 unnamed speaker Yeah, I think that the numbers I had was something internally for Google with the TPU workload.
- ▶ 13:25 unnamed speaker Yeah, I think that the numbers I had was something internally for Google with the TPU workload.
- ▶ 14:46 Andrew Feldman I think the closed source community has come to realize that, that being slow is not ideal, and that there's a very sort of interesting tweet by Paul Graham, and he said something like, I'd use Google half as much if ChatGPT weren't so…
Amp: The Emperor Has No Clothes
- ▶ 10:14 Thorsten Ball And this is how they do it at Google mode. 3 times in the scene
- ▶ 30:23 Thorsten Ball Like we, when you use AMP, you're using a model from Anthropic, you're using a model from OpenAI and you're using a model from Google.
- ▶ 1:15:20 Quinn Slack Thorson is the rare person who's been at bigger companies, who's seen how Sourcegraph, how we build enterprise software and, you know, not the Google way, but in a different way and has taken the parts of it that work and not the parts…
⚡️ Beyond Transformers with Power Retention
- ▶ 0:20 unnamed speaker You had just left Google Brain, Karls had just left OpenAI, and I think you set out on this mission of unlimited context window for models.
Context Engineering for Agents - Lance Martin, LangChain
- ▶ 21:18 Shawn Wang So I made a little Chrome extension for myself where I, like any repo, including yours, uh, I can just hit deep wiki and this is an lms.txt kind of, but also I, I read it.
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.
- ▶ 9:10 Gorkem Yurtseven Turned, turned out that it was even worse because the killer application of language models is search and you are competing against Google at the end. 3 times in the scene
- ▶ 19:07 Batuhan Taskaya I mean, we are any cloud provider, like what, what, what, what do they think in like AWS or Google cloud or these new clouds? 2 times in the scene
- ▶ 20:46 Batuhan Taskaya With Google, it's obviously hard, but, like, with other vendors, like, our goal is, like, helping them run inference, because these are research labs that doesn't necessarily invest heavily on inference optimizations.
- ▶ 31:40 Batuhan Taskaya Like the, in general, like what the other lab, because if you look at XAI, if you look at Meta, if you look at OpenAI, if you look at Google, they all have really good image models. 2 times in the scene
- ▶ 32:30 unnamed speaker Obviously Genie is impressive, but, like, it's a Google model, you know?
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.
Long Live Context Engineering - with Jeff Huber of Chroma
- ▶ 30:31 Jeff Huber If I want to search my Google Drive, I just, for the spreadsheet that has all my investors, I'm just going to type in CapTable, because I know there's a spreadsheet in my Google Drive called CapTable. 2 times in the scene
- ▶ 31:18 Jeff Huber Regex is obviously, like, the dominant pattern used by Google code search, GitHub code search, but you maybe can get, like, 15% or 10% or five percent improvement
- ▶ 45:08 Shawn Wang Google does this, OpenAI does this, and Topic does this.
⚡️Accelerators @ 3x NVIDIA H200 perf, Made in the USA - Thomas Sohmers + Mitesh Agrawal, Positron AI
- ▶ 44:01 Thomas Sohmers So like the latest, yeah, there's a VO three and, and since image and three on, on Google side have been pure autoregressive moving away from diffusion, the latest.
The AI Agenda: GPT5 leaks and the business of AI News — Steph Palazzolo, The Information
- ▶ 5:01 Stephanie Palazzolo And so we have reporters who are covering like the major tech companies like Google, Amazon, Microsoft, but then we also have reporters that are covering like cloud more broadly or chips or like crypto.
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