Google, every mention
801 scenes, the whole family · ← back to Google
tap a year for its mentions
every year 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
Perplexity AI CEO on Dethroning Google & Redefining Search
- ▶ 9:30 Matt Turck Um, so you got your visa, you got the VCs, uh, to provide you with, uh, MBA money, uh, and then, um, so you, you, you just set out to build that company that you sort of started dreaming up while you were at, uh, DeepMind.
- ▶ 17:13 Aravind Srinivas Like I actually want to launch it, but everyone's going to think like I'm taking on Google and like, you know, who, who's the startup that even like deserves to take on Google? 2 times in the scene
- ▶ 19:08 Matt Turck So you're, you're effectively a Google and chat GPT, uh, competitor. 3 times in the scene
- ▶ 23:16 Aravind Srinivas Our philosophy for this thing was that right now, all these products bar, tragedy, perplexity are all like requiring people to be very precise prompt engineers.
- ▶ 30:42 Aravind Srinivas So we didn't actually take on Google. 4 times in the scene
- ▶ 33:03 Matt Turck And still on the obvious, you know, question of the competitive advantage and, you know, the, the whole Google thing, like I read somewhere so far, you've been using other people's indexes and crawlers. 2 times in the scene
Diffblue’s AI Testing Paradigm Shift — CEO Mathew Lodge Explains How Code Writes Itself
- ▶ 7:37 Mathew Lodge Google DeepMind has also applied this approach
- ▶ 41:15 Mathew Lodge I mean, what, what was interesting about DeepMind is one of the reasons that, uh, you know, Demis said that one of the reasons that, uh, they, they went over to Google is because 2 times in the scene
Moonhub’s Nancy Xu Unveils the AI Recruiter That’s Beating LinkedIn
- ▶ 6:45 Nancy Xu People across the public web, so whether that's your Google Scholar page, your GitHub page, your LinkedIn page, various other pages that have information that might be relevant to whether or not someone is a good fit for an opportunity.
- ▶ 12:29 Nancy Xu Um, so for example, this might be data sources like Crunchbase, GitHub, Google Scholar, et cetera, aggregating all of that, um, feeding it into, um, putting it into various data stores.
- ▶ 21:19 Matt Turck So from my notes, I see that you, um, raised a large seed, 13.8 million, uh, from, uh, Khosla, Google Ventures, uh, AIX Ventures, which is, uh, Richard, uh, Socher, who actually introduced the two of us. 2 times in the scene
Secure, Private, Powerful: Dust’s Vision for Enterprise AI Agents | Stanislas Polu
- ▶ 21:25 Stanislas Polu Um, obviously you have Google and DeepMind, Meta to some extent, Anthropik, but still remains kind of a uniquely positioned there.
- ▶ 21:25 Stanislas Polu Um, obviously you have Google and DeepMind, Meta to some extent, Anthropik, but still remains kind of a uniquely positioned there.
- ▶ 34:07 Stanislas Polu Go do such on Google.
- ▶ 45:54 Stanislas Polu And, uh, there's been a lot of, I mean, I think DeepMind and Meta have invested a lot in France, uh, as AI labs over the past, uh, 10 years, I'd say, and they've created a very large pool of talents, uh, coming from, uh, PhD students going… 3 times in the scene
Building Human-Level AI Agents: Imbue CEO Kanjun Qiu on the Road to General Intelligence
- ▶ 4:09 Kanjun Qiu We like Google stuff.
- ▶ 29:06 Matt Turck Um, how do you think about the sort of current landscape in terms of, um, you know, competing with just about everyone, the open AIs and the Google deep minds and research and, and, and, and all the things.
Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs
- ▶ 2:05 Ori Goshen And then, uh, we've, we've, uh, kind of assembled a few more financial investors that joined around and, um, uh, also, um, a couple of strategic investors, um, particularly Google and NVIDIA. 2 times in the scene
- ▶ 24:26 Ori Goshen So, uh, with, with Google Cloud, you can basically consume our models through the marketplace and in the future through Vertex.
- ▶ 43:10 Matt Turck So you alluded to, um, you have a partnership with Google, uh, Google Cloud Marketplace.
- ▶ 43:16 Matt Turck Uh, I also read that you have a big query integration, I guess, probably similar to what you did with, with Snowflake, and then a partnership with Amazon, uh, you know, listening to, um, what you described, uh, during this, this…
From NLP Start-Up to Generative-AI Platform: Milos Rusic (deepset) Unpacks Product-Market Fit
- ▶ 4:32 Milos Rusic Google released BERT, the first of its kind of transformer.
Hippocratic AI’s Munjal Shah: Building the First Safety-First LLM for Healthcare
- ▶ 1:17 Matt Turck You were, uh, the founder among other things, uh, and other companies of like.com, which was, uh, I believe a computer vision company that was acquired by Google. 2 times in the scene
Reinventing Search with AI: Richard Socher on Building You.com & the Future of Google
- ▶ 4:11 Richard Socher And we thought, man, at some point, like hopefully Google picks this up and makes actual search better than here's a list of blue links.
- ▶ 6:50 Richard Socher In fact, when you observe the normal users outside of Silicon Valley, probably not part of your podcast listeners either, but there are some people who type in the top bar of their browser, Google, 2 times in the scene
- ▶ 9:42 Richard Socher And then you can have, similar to how Google, you know, eventually started having Gmail, and Maps, and a bunch of other things, um,
- ▶ 9:42 Richard Socher And then you can have, similar to how Google, you know, eventually started having Gmail, and Maps, and a bunch of other things, um,
- ▶ 10:30 Richard Socher Uh, have access to all the latest and most useful generative AI tools under there, and you can, you know, default to, you know, you chat, um, the chat experience in your browser through our Chrome extension, for instance, and then you have…
- ▶ 21:10 Matt Turck And if so, just maybe walk us through the thinking, obviously the most famous search engine, uh, 2 times in the scene
- ▶ 23:06 Richard Socher Yeah, we actually did some studies and, uh, developers who use you.com are way more efficient, uh, than developers who use Google. 3 times in the scene
Startup to Industry Standard: Lukas Biewald Explains How W&B Scaled MLOps for OpenAI, NVIDIA & More
- ▶ 2:12 Lukas Biewald So we worked with Google and Yahoo and eBay and a lot of the e-commerce companies.
- ▶ 30:18 Lukas Biewald I think slowly like Google has decided to, um,
- ▶ 36:02 Lukas Biewald I mean, there's just a lot of weird things or like, you know, Windows terminal is always Windows terminal is always something like messed up about that.
The Single Platform for Everyday AI - Fireside Chat with Florian Douetteau (Dataiku) & Matt Turck
- ▶ 45:57 Florian Douetteau So like children of AI with my name will pop it up on Google.
Why Vector Databases Are Exploding: Chroma Co-Founder Jeff Huber on Building AI-Native Infra
- ▶ 7:34 Jeff Huber Um, Google Palm has one, um, and then there is a plethora of open source embedding models as well that many of the people, many people in the community find to be very good actually, so.
AI and the Future of Knowledge Work with Hebbia’s CEO George Sivulka
- ▶ 0:38 Matt Turck Jerry Yang, uh, founder of Yahoo, Ramstree Ram, one of the first investors in Google, uh, and also our friends at Index Venture, including, uh, Mike Volpe, who, um, spoke at this event, actually in this room, exactly where he's sitting.
- ▶ 3:45 George Sivulka And then I saw it again, ah, when Google Translate got really good.
- ▶ 17:52 George Sivulka So, you know, Google has alerts, so every time someone mentions Hebbia, our marketing team can get notified.
- ▶ 17:52 George Sivulka So, you know, Google has alerts, so every time someone mentions Hebbia, our marketing team can get notified.
- ▶ 22:00 George Sivulka Um, I care that when my children are in sixth grade, and they're in computer science class, in their system tray, they have to learn how to use Google Chrome, how to use, you know, Microsoft Excel, and how to use Hebbia.
Entering the Data-Centric Era of Foundation Models with Alex Ratner, Co-Founder & CEO of Snorkel AI
- ▶ 2:11 Alex Ratner I don't know, first Google result for Gartner hype cycle, not too original, and put the dot on exactly the same spot.
- ▶ 5:38 Alex Ratner We had a paper come out with some UW and Google folks recently that I think is cool, and a lot of usage in industry, which is all about this kind of debate of, is there going to be one big model that everyone uses, or is there going to be…
- ▶ 12:54 Alex Ratner Um, one cool study that we just released through some, some, uh, some folks at, uh, UW, um, and a bunch of others like Stability and Lion and, and Google and Apple.
- ▶ 19:10 Alex Ratner This is with another one of my grad students at UW and Google, and it just shows that you can actually, um, it's just a new technique for an old concept called distillation, but it shows that you can take these massive kind of generalist…
A Conversation with Chris Wiggins - Author of "How Data Happened"
- ▶ 20:36 Chris Wiggins Then all of that went away, and, um, through a story that we don't have time to go into, uh, we started kicking the tires on GCP, Google Cloud Platform, and at this point we have fast, reliable SQL access via, um, 2 times in the scene
Long Term Memory for AI with Pinecone Founder & CEO, Edo Liberty
- ▶ 9:15 Edo Liberty Great technique works great for Google, works great in other places.
- ▶ 11:14 Edo Liberty I then did two internships at Google on that topic.
- ▶ 17:40 Edo Liberty Uh, uh, wave of people using us to create context for, for, uh, chat GPT-like, uh, and BART-like, uh, uh, uh, applications.
- ▶ 29:14 Edo Liberty I don't know if you remember, but people, like, thought that, like, uh, you know, uh, query building for Google would be a profession too, right?
Generative AI for Speech Recognition | AssemblyAI Founder & CEO, Dylan Fox
Build and Deploy AI with Pytorch | Lightning AI Founder & CEO, William Falcon
- ▶ 17:37 William Falcon But, um, you know, like none of this wouldn't exist if Google hadn't put published transformers and put the paper out there, right?
LLM Powered Search | Vectara Founder & CEO, Amr Awadallah
- ▶ 3:24 Amr Awadallah The previous wave or the classical way for how we did search all of us and the way we have been trained on it with Google and many other search systems that we have been using is what's called keyword search, right?
- ▶ 8:38 Amr Awadallah Uh, my co-founder at, uh, Victoria, his name is Amin Ahmed and Amin worked at Google research
- ▶ 18:28 Amr Awadallah Enterprise search is where you collect lots of data from the enterprise, from Google drive, and then from, uh, from one box, from, uh, from, uh, uh, box.net.
- ▶ 19:52 Amr Awadallah I always like to break down developers in the world, and I learned this the hard way that, uh, uh, Cloudera, my previous company, uh, I came out of, uh, Yahoo, uh, my co-founders for Cloudera came out at Facebook and Google, and we thought… 2 times in the scene
- ▶ 32:11 Amr Awadallah And now I can generate amazing art that like I could never have dreamed of doing in my life before in the same way that before Google maps, all of us were average in terms of getting from point A to point B and we always get lost. 2 times in the scene
A Conversation with Sarah Catanzaro, Amplify Partners
- ▶ 12:00 Sarah Catanzaro The quintessential example is, is, you know, Google versus chat GPT.
- ▶ 19:12 Sarah Catanzaro So, um, the mother duck team kind of helmed from, from Google.
- ▶ 21:35 Matt Turck You mentioned the example of Mother Duck, like people coming from Google. 2 times in the scene
- ▶ 29:08 Sarah Catanzaro I'm sorry to Malia, our marketing director, but if you Google amplify projects to know, it'll probably pop up somewhere.
The 2023 MAD (Machine Learning, Artificial Intelligence & Data) Landscape
- ▶ 9:11 Matt Turck Google released a product called AlloyDB, which is going in that direction, which I think is interesting as well.
- ▶ 13:32 Matt Turck Obviously, you've all seen the search wars of, you know, ChatGPT versus BART and all the things that's just, that's just starting.
- ▶ 13:59 Matt Turck Developed at Google, and the irony is that Google is playing catch-up to Microsoft and OpenAI right now because OpenAI accelerated the development of a technology that was actually created by Google. 3 times in the scene
Build Fast APIs Faster Over Data at Scale | Tinybird Founder & CEO Jorge Gomez Sancha
- ▶ 22:39 Jorge Gomez Sancha And, uh, they're also build their own Google, uh, analytics on top of tiny bird.
The Composable CDP & The CX Hub | ActionIQ Founder & CEO, Tasso Argyros
- ▶ 6:51 Tasso Argyros If it lives in BigQuery, you do it in BigQuery, wherever it may be.
A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
- ▶ 1:49 Gideon Mann Um, and, uh, so companies like Hugging Face, um, and, you know, Google's Colab, you know, enabled sharing of, of code, um, sharing of technology, and this just really increased the pace of innovation, and all these pieces have, you know,…
Data Visibility & Control | BigID Co-Founder & CEO Dimitri Sirota
- ▶ 0:41 Dimitri Sirota And that requires a way to look across, especially in the cloud, you know, hundreds of possible varieties of data sets from, you know, um, um, document DBs to, I saw your investor in Cockroach to everything that's possible in, uh, AWS,…
- ▶ 7:41 Dimitri Sirota So one thing to understand is while we started cloud native and AWS, we very quickly kind of realized that we needed to make the cloud runnable in GCP and Azure and in a private cloud, but also even in a, in a, uh, legacy data center.
A Cloud SQL Database Built for Survival | Cockroach CEO & Co-Founder, Spencer Kimball
- ▶ 4:32 Spencer Kimball So I was at Google in 2002, and we kind of ran head first into this with their AdWords system, which very quickly grew beyond the capacity of a single MySQL instance, and so they started adding more MySQL instances, 8 times in the scene
- ▶ 4:32 Spencer Kimball So I was at Google in 2002, and we kind of ran head first into this with their AdWords system, which very quickly grew beyond the capacity of a single MySQL instance, and so they started adding more MySQL instances,
- ▶ 6:03 Spencer Kimball Um, you know, uh, building things internally and also providing on GCP.
- ▶ 8:44 Spencer Kimball It's really around survivability, and that was one of the key things that we, we sought to build into the product from the start, and it was one of the things that motivated Megastore at Google and then Spanner at Google. 2 times in the scene
- ▶ 33:02 Spencer Kimball I'd, I'd built software at Google, for example, for Google engineers, and that was sort of more the, the, the mental model I was comfortable with, and the idea of having potentially hundreds or thousands of, of customers that, uh, needed… 2 times in the scene
- ▶ 42:44 unnamed speaker I just, I just saw that Google introduced what they're calling blockchain node engine for web .3, like a database to, you know, that can be used for 6 times in the scene
- ▶ 48:05 Spencer Kimball Ah, and when we, when we were building AdWords at Google, that was in the year 2000 two, I guess, 2003 when we were doing that. 2 times in the scene
Fundamentals of Data Engineering | Joe Reis and Matt Housley
- ▶ 2:36 Joe Reis You, you, you go on a Google, and it's like, what is data engineering, Matt? 2 times in the scene
- ▶ 9:53 Matt Housley And in particular, um, Google had this notion, Google Cloud had this notion of a data life cycle.
- ▶ 9:53 Matt Housley And in particular, um, Google had this notion, Google Cloud had this notion of a data life cycle.
Behavioral Data Creation for AI | Snowplow Co-Founder & CEO Alex Dean
- ▶ 6:07 Alex Dean So we support Snowflake and Databricks and Redshift and BigQuery.
- ▶ 7:49 Alex Dean They would say things like log into Google Analytics and get what you need, and that's not what we wanted.
- ▶ 12:13 Alex Dean Uh, individual package to, um, to basically being Snowflake or Databricks or BigQuery.
- ▶ 22:04 unnamed speaker Um, you probably get this question a lot, but how do you compare Snowplow with, ah, Google Analytics and Segments and other sort of off-the-shelf things that you can just get? 3 times in the scene
Separating Data Hype From Substance | Fireside Chat with Mode Co-Founder Benn Stancil
- ▶ 16:04 Benn Stancil Like, Google to me is one of those companies that's sort of like, what are you doing? 4 times in the scene
- ▶ 16:14 Benn Stancil They haven't pieced it together yet, but I think, like, that's another place where something like Snowflake comes a little bit under risk if we start to buy data products the same way we buy, like, cloud infrastructure, where if you're… 2 times in the scene
- ▶ 17:29 Benn Stancil You want to centralize it into your central warehouse, be it Snowflake or Databricks or BigQuery or whatever.
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 2:20 Viraj Parekh Um, one thing I just want to point out about this, right, is architectures like this really have only become possible with the rise of folks like Snowflake, Databricks, Redshift, BigQuery, and this idea that as a data practitioner, I can…
- ▶ 10:50 Pete DeJoy We have one in AWS, one in GCP, one in Azure.
- ▶ 21:56 Pete DeJoy You know, we see quite a lot of adoption of Amazon's MWAA service and Google's cloud composer service, and I think, like, that really is the first order threat we see at the moment.
Automated Data Discovery | Select Star's Shinji Kim
- ▶ 1:32 Shinji Kim That's not just coming from your apps and websites, but also from all the SaaS apps and Google Sheets and different places that people are munging and changing and utilizing data on.
Harnessing AI to Make Video Creation a Breeze | Runway’s Cris Valenzuela
- ▶ 0:09 Cris Valenzuela Um, and what Runway basically does is, um, we help companies like CBS, Assembly, Google, Red Lab, Facebook, VaynerMedia, Vox, RGA, and countless other companies create better video content faster and literally at a fraction of the cost…
Building Real-Time Data Pipelines | Estuary's Johnny Graettinger
- ▶ 0:57 Johnny Graettinger Uh, I've got a, uh, Cloud SQL, a Postgres box running in, uh, Google Cloud Platform.
- ▶ 4:33 Johnny Graettinger So we built ones already for talking to things like analytics warehouses or cloud storage or tools like elastic that are, you know, more operational in nature, or, uh, in this case, the humble Google sheets. 3 times in the scene
- ▶ 4:51 Johnny Graettinger We need, like, a service account that we can get from Google Cloud Platform, and we need a spreadsheet ID to know what we're actually materializing into, and we've got to pick a couple of, um, a couple of tables that we're actually going…
- ▶ 5:32 Johnny Graettinger Okay, so what we are looking at right now, um, is a live view of essentially a Postgres table that is being live synchronized into this Google Sheet. 3 times in the scene
- ▶ 6:36 Johnny Graettinger Like, those are totally fine in Google Sheets. 8 times in the scene
- ▶ 8:21 Johnny Graettinger If you try and make updates to Google Sheets any faster than that, Google starts to rate limit you.
- ▶ 9:54 Johnny Graettinger Also sort of transform, um, data that's coming from this database on the fly, and materialize roll-ups and summaries of what's happening in our Google Sheet with live updates. 4 times in the scene
- ▶ 12:38 Johnny Graettinger Which was acquired by Google, and we ended up working together very closely there, and then started our own, uh, different, different company in 2014.
- ▶ 13:13 Matt Turck So your example is focused on Google Sheets as the sort of end point. 2 times in the scene