Google, every mention
96 scenes (2024), the whole family · ← back to Google
tap a year for its mentions
every year 2024 anyone Matt Turck 174Benedict Evans 40Spencer Kimball 37Dylan Patel 30Amr Awadallah 29Sridhar Ramaswamy 24Johnny Graettinger 23Jordan Tigani 20Neil Zeghidour 19Noah Weiss 18
Verbatim, from the transcripts: the passages where Google comes up
Dataiku's Secret to Scaling AI in Global Enterprises | Florian Douetteau, CEO, Dataiku
- ▶ 6:05 Florian Douetteau You had, uh, Google pushing new technologies, you had, like, those, uh, those days of MapReduce, those days of deep learning starting to work,
State of AI 2024: Frontier Models, AI Geopolitics, Robotics | Nathan Benaich, Air Street Capital
- ▶ 12:06 Nathan Benaich The other one is, of course, this like constant, um, fight between OpenAI, Anthropic, you know, Google DeepMind, GDM, uh, as being the main contenders.
- ▶ 16:31 Nathan Benaich And then when you look at Google has their own effort.
- ▶ 23:12 Nathan Benaich Um, so I think, like, for us in the sort of, like, we're still used to Google, and we train our minds so much to Google, like, it's a bit harder to move, but if you're in this, like, I need to learn things really fast on the fly, which is,… 3 times in the scene
- ▶ 38:11 Nathan Benaich Um, I mean, Europe has produced, like, pretty impactful deep tech companies as well over the years, whether it's, like, ASML, or, like, Nova Nordisk, or, uh, you know, Spotify, or, like, other things, right, DeepMind.
- ▶ 43:56 Nathan Benaich And, um, if you sum all the papers that, um, use NVIDIA chips versus all the papers that use TPUs, FPGAs, ASICs, Apple, Huawei, the sum of all NVIDIA papers versus the sum of everybody else, the delta is like 11 times. 2 times in the scene
- ▶ 44:12 Nathan Benaich So it was 19 times last year, so it's, it's, it's dropping a little bit, um, mostly driven by the growth of, uh, Google's TPU usage, which is up like five X year on year, but the, the chasm is massive.
Superintelligence, Bubbles And Big Bets: AI Investing in 2024 | Matt Turck & Aman Kabeer, FirstMark
- ▶ 0:21 Matt Turck Meta, Google, and Amazon are on track to invest two hundred billion in AI infrastructure.
- ▶ 3:32 Aman Kabeer Um, so for, for those of you who don't know, 2.7 billion dollar acquihire by Google of the Character AI founders who, funny enough, were already at Google before they went to start Character AI. 3 times in the scene
- ▶ 3:57 Matt Turck The three top companies, MetaGoogle and Amazon, are on track to invest two hundred billion in AI infrastructure this year. 2 times in the scene
- ▶ 26:14 Matt Turck Google had some, some interesting thoughts as well. 4 times in the scene
- ▶ 30:33 Matt Turck But on the other hand, if you hadn't invested at all during that period, you would have missed on Amazon, which was founded in, in, in, uh, you would have missed on Google that was, uh, founded in, uh, in 98 and you would have, uh, missed…
- ▶ 32:25 Matt Turck Uh, and look, but, but, by the way, on the AGI front, this, like, that whole discussion was kind of fun, um, which is that, uh, everybody's talking about AGI, so, uh, you know, uh, uh, certainly, uh, some old men, but, like, Elon said we…
- ▶ 45:57 Matt Turck Amazon and Google 2 times in the scene
Can AI Infrastructure Work Like Magic? Erik Bernhardsson, CEO, Modal
- ▶ 4:05 Erik Bernhardsson Like AWS, GCP, Azure, etc.
- ▶ 18:14 Erik Bernhardsson We use AWS, we use GCP, we use Oracle.
The Death of Big Data and Why It’s Time To Think Small | Jordan Tigani, CEO, MotherDuck
- ▶ 0:39 Jordan Tigani In BigQuery, we were very, very happy when we got the overhead down to, like, 400 milliseconds.
- ▶ 2:17 Jordan Tigani the database, the, the query sizes they were using was a hundred terabytes, and I remembered back from my time at BigQuery, um, you know, we had some of the, 4 times in the scene
- ▶ 3:28 Jordan Tigani You know, after Google came out with, you know, MapReduce and, and GFS and Bigtable, kind of everybody's...
- ▶ 3:28 Jordan Tigani You know, after Google came out with, you know, MapReduce and, and GFS and Bigtable, kind of everybody's...
- ▶ 8:45 Matt Turck Uh, if you already have, uh, you know, BigQuery in place or Snowflake or Databricks or like the whole, like, big data, uh, kind of infrastructure or modern data stack, whatever you call it, 6 times in the scene
- ▶ 10:55 Jordan Tigani And for, for, for Google, it's like, whatever, we own the hardware, we'll just throw lots of cores at it, um, but at some point, you know, like, you gotta pay for those, somebody's gotta pay for those cores, and somebody's gotta pay for…
- ▶ 19:06 Jordan Tigani Uh, you know, BigQuery and Redshift and, um, and this thing that I'd never heard of called DuckDB. 3 times in the scene
- ▶ 27:21 Jordan Tigani And, um, and it ends up being something that's kind of a trivially clonable by, you know, AWS, uh, or, you know, Google or somebody else.
- ▶ 36:19 Jordan Tigani And, you know, we did this in BigQuery, and, you know, ClickHouse does, um, you know, a lot of these, these engines build these, like, hand-coded, vectorized execution engines, because, because there, there are computer instructions that…
- ▶ 49:00 Jordan Tigani And, and it keeps getting better, and they're writing more research papers on, on this, versus if you look at other, other database companies, when I was at BigQuery, we put a college new grad on, on, you know, the CSV, and they worked on…
- ▶ 54:50 Jordan Tigani And so I was part of the team that helped, helped start Google BigQuery. 4 times in the scene
- ▶ 57:01 Jordan Tigani Um, you know, when you're at Google, you think, oh, well, you don't need to do marketing. 2 times in the scene
The $4.5B Platform Driving the Open Source AI Revolution | Clem Delangue, CEO, Hugging Face
- ▶ 3:47 Clement Delangue It was GPT, GPT-II, there was, there was BERT, there was ExcelNet, um, obviously Google, uh, kicked off this wave with attention is all you need, which is like the seminal paper for, for Transformers, which is the T in, in ChatGPT. 2 times in the scene
- ▶ 29:54 Clement Delangue From, ah, from Google, but, ah, but it kind of sucks because it's in, ah, TensorFlow, and, and most people today wanna use PyTorch.
- ▶ 36:41 Matt Turck Because right now you are in the AI ecosystem in a pretty extraordinary position, which is that in a world where you have, uh, you know, the, the open AIs and the Gemini and Anthropics competing neck and neck, like every other day, there…
AGI, The Future of AI Agents And The Next Wave of Opportunities in AI | Richard Socher, CEO, You.com
- ▶ 57:01 Richard Socher You know, it's like Google will tell you the age of Obama within less than 1:02.
AI at Datadog: Monitoring machines in the age of LLMs | Olivier Pomel, CEO of Datadog
- ▶ 51:04 Olivier Pomel Um, uh, bots, you know, in, whether it's the Google one, the Microsoft one, and, you know, you sort of try them, you force yourself to try them, and then you run out of ideas, you know, so you don't, you don't come back.
AI at ZoomInfo: Superpowering GTM teams | Ali Dasdan, CTO, ZoomInfo
- ▶ 5:46 Ali Dasdan So it's an API and you can get through API, you can get through as a file, or you can get, it is ready to go in the marketplaces for these companies, Databricks and Snowflake and GCP and AWS, and it's ready to merge for you.
- ▶ 9:10 Ali Dasdan We are using both, uh, Google Cloud as well as Amazon Cloud.
- ▶ 15:53 Matt Turck And you said the platform is, uh, is Google for, for that, for, um. 2 times in the scene
- ▶ 15:57 Ali Dasdan Yeah, ZDP is built on Google, BigQuery right now.
- ▶ 16:26 Ali Dasdan All these connections are there that we are extracting out of that, and that is done through, you know, different technologies, you know, either spark code or data flow that GCP has, and all kinds of basic processing.
- ▶ 27:46 Ali Dasdan We are using Anthropic, we are using OpenAI, we are using Google, but for that one, we released Anthropic.
- ▶ 38:40 Ali Dasdan Uh, there's also, as you know, either GC or AWS are providing, uh,
- ▶ 38:51 Ali Dasdan So there's, you know, we are thinking like how much of that layer we should be creating ourselves and how much we can actually rely on what Google or AWS or Oracle will be providing as a layer for us.
- ▶ 39:57 Matt Turck Is that, is that something that you would consider or you basically a company like you would wait until GCP has the feature?
- ▶ 42:22 Ali Dasdan It's not only helping with the, while you are coding and writing tests, uh, we are trying to, for example, speed up code reviews, right, using this technology, and Google had an internal, I think, solution.
AI at Ramp: Making Every Team Radically More Productive | Eric Glyman, CEO, Ramp
- ▶ 10:21 Eric Glyman We do, um, you know, Okta, um, Google, single sign-on.
- ▶ 47:00 Eric Glyman Um, Google, AWS, Meta, Stripe, you name it, all of that.
Making AI Work: Fine-Tuning, Inference, Memory | Sharon Zhou, CEO, Lamini
- ▶ 8:27 Sharon Zhou Uh, so I think that will always be there, and that will always, um, there will always be, like, a best general purpose model, whether it be open AIs or Anthropics or Googles, et cetera.
An inside look at “Mastering AI” | Jeremy Kahn, Author & AI Editor, Fortune
- ▶ 2:13 Jeremy Kahn I'd actually, uh, even prior to ChatGPT had written back in, in, uh, late 2019, early 20 20, I had written a cover story on, uh, the corporate race for AGI, kind of looking at OpenAI versus Google.
- ▶ 16:44 Jeremy Kahn I think it really is true that Google has hurt our memory. 2 times in the scene
- ▶ 25:21 Jeremy Kahn Some open AI or Google model and, and type a few words in and get a symphony or get, you know, an image that looks kind of cool.
- ▶ 42:31 Jeremy Kahn Um, I thought I had a, had a really good conversation with Demas Asabas from, from DeepMind, Google DeepMind, uh, for the book. 3 times in the scene
- ▶ 45:02 Jeremy Kahn Sort of stuck for a phrase, and you know, if you're stuck for a word, or if you're overusing a word, you can always go to thesaurus, and that's very quick on, you know, on Google, you just go to thesaurus and look it up.
From Business to Warfare: How AI Affects the Modern World | Azeem Azhar
- ▶ 40:11 Azeem Azhar All of the transfer wall for seeing, you know, Google, uh, the venture capital community, open AI, and
- ▶ 43:16 Azeem Azhar Now consider deep mind part of the US or rather than part of Europe.
How ClickHouse powers Netflix, Uber and Spotify’s Analytics | Aaron Katz, CEO of ClickHouse
- ▶ 1:19 Aaron Katz Um, so think about a database that would sit behind something like Google Analytics, but in this case it was Yandex Metrica.
- ▶ 10:27 Aaron Katz And that was, um, really necessary for Alexei Yuri Israelevsky, who's my other co-founder, who I met when he was running platform engineering at Netflix, and he had since gone over to Google and myself, uh, kind of aligned on that strategy.
- ▶ 11:30 Aaron Katz And, uh, yeah, we then had to decide what cloud provider we were going to start with and we chose AWS and we then have subsequently deployed on GCP and we'll be deploying on Azure and launching that service in public bait in two weeks on
- ▶ 20:22 Aaron Katz Uh, transactions is how the marketplace activities, uh, through both AWS and GCP and what will be Azure as well, because when we simultaneously release on this cloud service provider, we also release in the marketplace, and that's really…
- ▶ 25:48 Aaron Katz Um, in the cloud data warehouse market, to answer your question specifically around Snowflake, we do see demand for customers to migrate off of technologies like BigQuery, uh, and Redshift, and Snowflake, um, either for
- ▶ 28:38 Aaron Katz 25 years at companies like Netflix and Google and Yahoo, and I've been a student of distribution, and with most of that time being spent at Salesforce and then Elastic, and about a third of my career has been spent outside of the U.S.
From Tiny Romanian Startup to Global AI Automation Leader | Daniel Dines, CEO of UIPath
- ▶ 1:09:34 Daniel Dines I learned Google Analytics and, you know, spending well the dollars.
How Airtable is Ushering 500,000 Organizations Into The Era of AI | Howie Liu, CEO of Airtable
AI, Data and Blockchain: a VC perspective | Tomasz Tunguz, Founder of Theory Ventures
- ▶ 3:04 Tomasz Tunguz So I think, I mean, so, 18 months ago, if you had a margin, like a great person leaving Facebook or Google,
- ▶ 12:47 Tomasz Tunguz Spiked almost 18 months before Google and Microsoft did, so they must have seen some of these inference workloads coming. 2 times in the scene
- ▶ 21:09 Tomasz Tunguz We have two investments, two ex-Google teams. 2 times in the scene
- ▶ 26:33 Tomasz Tunguz And that cost advantage from like Alta Vista to Google makes a pretty significant difference in the ultimate attractiveness of the business.
- ▶ 30:23 Tomasz Tunguz Well, Google, when they initially released search, their generative search experience, the cost to serve a query was 10 X a standard one. 2 times in the scene
- ▶ 35:59 Tomasz Tunguz I mean, it's just my hunch, but like the Google, Microsoft. 2 times in the scene
- ▶ 39:25 Tomasz Tunguz Was it GCP Tech Lead?
- ▶ 39:29 Matt Turck BigQuery?
- ▶ 45:58 Matt Turck Um, you, you know, you've, you've, um, you've been part of some very great acquisitions, including Looker, which was a 2.7 billion acquisition by, by Google.
The $9B Startup Going After Snowflake and Databricks | Renen Hallak, CEO of VAST Data
- ▶ 7:40 Renen Hallak Obviously, Google knows how to build it for themselves. 2 times in the scene
Navigating the AI Landscape: A Survival Guide | 2024 MAD Landscape with Matt Turck and Aman Kabeer
- ▶ 12:01 Matt Turck And Google, and he said that, that sucks, and it doesn't want that to happen.
- ▶ 15:33 Matt Turck You could very much argue that, um, the storage layer of an AWS versus a GCP versus an Azure, uh, is entirely not differentiated.
- ▶ 26:08 Matt Turck They are facing a very different type of incumbents compared to prior, uh, platform shifts, uh, where, uh, you know, this time you're fighting the Microsofts and the Googles and the Adobe's and, uh, you know, everybody has read the memo…
- ▶ 30:17 Matt Turck They were like a, you know, a bunch of like Alta Vistas and that's Jeeves and 2 times in the scene
Is AI a platform shift or a paradigm shift? With Benedict Evans
- ▶ 14:36 Benedict Evans Only Google's got all the data.
- ▶ 16:54 Benedict Evans So there will be generative AI capabilities inside stuff from Google and Microsoft and Oracle. 2 times in the scene
- ▶ 39:50 Benedict Evans And so there's an interesting turn on this, however, which is that DeepMind did a project with Moorfields, which is iHospital in the UK.
- ▶ 43:35 Benedict Evans It's Fujitsu, it's not Google, or DeepMind, or someone, or OpenAI.
- ▶ 43:35 Benedict Evans It's Fujitsu, it's not Google, or DeepMind, or someone, or OpenAI.
Foursquare’s Remarkable Transformation Into Leading Location Intelligence Platform | Gary Little
- ▶ 4:31 Gary Little And building the mechanisms to be able to have what we think is unique other than basically Google in the world, which is human confirmation.
- ▶ 14:19 Gary Little And so from the beginning, the way that the systems at Foursquare had been built was really this thing we've all gotten used to now because Apple and Google have caught on, and at the operating system level, we have to opt in to location…
Hollywood Producers FREAK OUT over AI | Cris Valenzuela, CEO of Runway
- ▶ 20:11 Matt Turck There was, uh, I think one that was announced, uh, that just got some funding back to former DeepMind people.
2024 will be the year of ENTERPRISE AI | Florian Douetteau, CEO of Dataiku
- ▶ 19:39 Florian Douetteau Yeah, so we, we built, ah, this in order to essentially integrate with all of the vendors on the market, integrating with Hugging Face, AWS Bedrock, OpenAI, and, ah, Google.
AI's Killing Marketing. Ecosystem-Led Grow is the Future | Bob Moore, the CEO of Crossbeam
How Intercom transitioned to being AI-first | Des Traynor, Co-Founder of Intercom
- ▶ 9:42 Des Traynor And if you look at your own online search behavior, you go to a website, if you don't get an answer to the thing you're wondering in like four seconds, you close the tab and go back to your Google search and jump down a link or whatever.
- ▶ 16:49 Des Traynor It's the same way, the same way we all learned to eventually talk machine to Google. 2 times in the scene
- ▶ 31:01 Des Traynor Uh, so what are they, what we've spent a lot of time on is like most of our customers store all the information that needs to be known in notion or confluence or guru or in random PDFs that are floating around or Google drive.
- ▶ 38:07 Des Traynor There's like, you know, there are like, at the very least, all of the big players have their own offering in the space, whether it's Google or Facebook or whatever.
- ▶ 44:06 Des Traynor Uh, like, uh, in the same way you don't say thanks to Google after you complete the search query, you know?
Future of The Modern Analytics Stack | Tristan Handy, CEO of dbt
- ▶ 1:50 Matt Turck Called, uh, is the modern data stack still a useful idea, uh, that people can, um, can Google and then, uh, we'll put it in the show notes as well.
- ▶ 17:02 Tristan Handy AWS and, and, uh, and Azure and Google kind of sit at the top of this food chain and then people like me and George just get to figure out what everybody else above us is doing.
- ▶ 29:16 Tristan Handy We've used get Google and stack overflow and constant recompilation until you get a success message, uh, as, as kind of the workflow there.
- ▶ 35:06 Tristan Handy The, too much, uh, too, too much information in there actually crashed your Chrome tab.
Vector databases and the $8 trillion open source market | Bob van Luijt, CEO of Weaviate
- ▶ 0:20 Bob van Luijt I went to Google I.O. that Sona P.
- ▶ 31:07 Bob van Luijt And then I went to Google I.O. in 2016.