Google, every mention
89 scenes (2023), the whole family · ← back to Google
tap a year for its mentions
every year 2023 anyone Brett Berson 97Jack Krawczyk 44Sam Schillace 28Dan Siroker 14Qasar Younis 13Cameron Adams 13Todd Jackson 10Noah Desai Weiss 10Abhinav Asthana 9Jon Noronha 8
Verbatim, from the transcripts: the passages where Google comes up
Mastering modern entrepreneurship | Steve Blank (Author of The Four Steps to the Epiphany)
- ▶ 59:12 Steve Blank So I sure hope OpenAI, Google and Facebook, and even Apple continue to slug it out at some point. 2 times in the scene
The Bard blueprint | Creating value, shipping fast, and advancing AI | Jack Krawczyk (Google)
- ▶ 1:09 Brett Berson Jack is a Senior Director of Product at Google, previously leading the Google Assistant team, and now on the leadership team at Bard as one of its first members. 2 times in the scene
- ▶ 1:09 Brett Berson Jack is a Senior Director of Product at Google, previously leading the Google Assistant team, and now on the leadership team at Bard as one of its first members.
- ▶ 1:09 Brett Berson Jack is a Senior Director of Product at Google, previously leading the Google Assistant team, and now on the leadership team at Bard as one of its first members. 4 times in the scene
- ▶ 2:26 Brett Berson I'll ask Bard to interpret that. 4 times in the scene
- ▶ 2:35 Jack Krawczyk My journey of, uh, being one of the, uh, initial members of the Bard team was, uh, when I first got to Google in 2020, 2 times in the scene
- ▶ 2:53 Jack Krawczyk MENA became Lambda, and what we were experimenting with was, how do we get this very convincing sounding text-like agent to enter into Google Assistant?
- ▶ 3:56 Brett Berson What's interesting about sort of the enabling technology of BARD is it's one of those things that I could imagine you could do almost anything with. 2 times in the scene
- ▶ 4:45 Jack Krawczyk And that's where you see language models inside of Google starting to manifest inside of products like Gmail and Google Docs, um, through a product that we call Duet AI. 2 times in the scene
- ▶ 4:45 Jack Krawczyk And that's where you see language models inside of Google starting to manifest inside of products like Gmail and Google Docs, um, through a product that we call Duet AI. 2 times in the scene
- ▶ 5:44 Brett Berson What was the process to figure out what the first version of BARD would look and feel like? 2 times in the scene
- ▶ 8:51 Jack Krawczyk Bard has that as well. 3 times in the scene
- ▶ 10:16 Brett Berson When you look at the end-to-end process to ship the first version of Bard, what allowed you to do it so quickly? 2 times in the scene
- ▶ 13:40 Brett Berson And I think it's particularly interesting because you worked at very small companies, um, and you've obviously worked at Google now multiple times. 7 times in the scene
- ▶ 15:02 Jack Krawczyk And that has been true on Bard, and it's true across Google, that there is this curiosity of, wait, this fundamental truth of computing that's been true my entire life is no longer true. 2 times in the scene
- ▶ 17:14 Brett Berson Bard is, it's very similar, right, where you have this layer cake of technology that goes all the way back to the starting of the internet, because if you didn't have all this information on the internet, sort of, none of this would work. 5 times in the scene
- ▶ 18:21 Jack Krawczyk You had a collection of people, the, the first team that was assembled to build Bard had not only a deep familiarity of building products inside of Google, uh, working with language model technology, understanding its opportunities and…
- ▶ 21:22 Brett Berson Given the fact that ChatGPT was launched to the public before Bard came out, 5 times in the scene
- ▶ 21:37 Brett Berson Or there's always this kind of interesting dynamic and Google and a bunch of other companies have had amazing success building related companies that end up 3 times in the scene
- ▶ 25:03 Brett Berson Maybe you can talk more about what was the process to develop the principles for Bard, and maybe what some of them were that sort of guided the process of building the product. 3 times in the scene
- ▶ 26:07 Jack Krawczyk And we have an incredible GM that oversees both Google Assistant and Bard, Sissy Shao, and she started demonstrating the behavior from the very beginnings of Bard, doing things like deeply reading the research papers,
- ▶ 28:15 Jack Krawczyk It was this feeling of when somebody new would join the team, we had this saying, welcome to Bard. 4 times in the scene
- ▶ 28:52 Jack Krawczyk Like, like I was committing code the night before we, we launched our dog food version of Bard inside the company, not because I feel like, oh, it's an engineer's job to commit that. 2 times in the scene
- ▶ 31:57 Jack Krawczyk I would say the biggest difference of launching Bard versus other projects that I've had the opportunity of, of being a part of and in a large company setting is, you know, on day one, the biggest gap to creating 5 times in the scene
- ▶ 33:36 Jack Krawczyk That's something that's really hard when you are, I don't care whether you're Google or any other large company, right?
- ▶ 35:27 Jack Krawczyk The amazing thing about working on a product like Bard is like, that genuinely feels like three lifetimes ago. 3 times in the scene
- ▶ 36:42 Brett Berson And, and I would think, again, you kind of have this dynamic where, in this case, you have a couple other products that are already out in the world, and you knew that whenever Google puts their product out in the world, everyone's gonna… 4 times in the scene
- ▶ 39:35 Brett Berson Before you even started building what's now known as BARD, were the key stakeholders all aligned that we're going to put this thing out in the world in short order, and the reason we're going to do that is that humans are going to make… 2 times in the scene
- ▶ 40:01 Jack Krawczyk I can only give the perspective of what I had working on Google Assistant, which is we were struggling to get 2 times in the scene
- ▶ 52:31 Jack Krawczyk Uh, that we call the V-two of our Google It button, which when you receive a response on, uh, on BARD, and it happens to be something that you want a factual answer around, we go sentence by sentence and find, is there content from around…
- ▶ 52:31 Jack Krawczyk Uh, that we call the V-two of our Google It button, which when you receive a response on, uh, on BARD, and it happens to be something that you want a factual answer around, we go sentence by sentence and find, is there content from around…
- ▶ 56:02 Brett Berson Are there a few really gnarly problems that the team had to crack to ultimately create the experience that's barred today?
- ▶ 57:51 Brett Berson Something we haven't yet talked about is, uh, the, the people part of building Bard. 3 times in the scene
- ▶ 57:58 Brett Berson And I'm curious, were there differential things that you looked for as the team started to grow and you started to build the team for Bard relative to all the talented people that work at Google? 3 times in the scene
- ▶ 1:02:56 Brett Berson Right after launch, there was publicly and in the press, I think, a lot of negativity around BART, and a lot of critiques. 2 times in the scene
- ▶ 1:03:37 Jack Krawczyk And the way that we got through that sort of negativity was, A, inside of the company, having cheerleaders, like, there are these meme boards inside of Google, and just, like, to see 7 times in the scene
- ▶ 1:06:40 Jack Krawczyk One thing that has tactically been very different on this project compared to other ones that I've worked on at Google is there's not an email culture so much as there is a Google chat culture. 2 times in the scene
- ▶ 1:06:40 Jack Krawczyk One thing that has tactically been very different on this project compared to other ones that I've worked on at Google is there's not an email culture so much as there is a Google chat culture.
- ▶ 1:08:04 Brett Berson What are the most important ideas from this last year plus and working on BARD that would inform sort of the type of advice that you would give them to hopefully increase the chances that their, uh, experiment or product goes well? 2 times in the scene
- ▶ 1:16:01 Jack Krawczyk I spent the first couple of months, like, really digging into BARD.
A masterclass in engineering leadership from Carta, Stripe, and Uber | Will Larson (CTO at Carta)
- ▶ 3:44 Will Larson It's always because they assume the previous context from their earlier company, maybe a much larger company like a Google that has, you know, tens of thousands of engineers, or maybe a much smaller company with like a startup with only 10.
How goal-setting and planning is different for AI products | Anastasis Germanidis (Runway)
- ▶ 2:28 Todd Jackson The company is fresh off a hundred forty one million dollars series C funding round and counts Google, Nvidia, and Salesforce as a few of its investors.
How Vercel found extreme product-market fit by focusing on simplification | Guillermo Rauch (CEO)
- ▶ 12:35 Guillermo Rauch It's very similar to what Google docs did for word processing, similar to what Figma did for design.
- ▶ 16:20 Guillermo Rauch And the same with Kubernetes and Google.
- ▶ 19:47 Guillermo Rauch Uh, and one of the key insights there is that I kind of reverse engineered how Google was built, Google searches specifically, how Facebook was built, how amazon.com was built. 2 times in the scene
- ▶ 19:47 Guillermo Rauch Uh, and one of the key insights there is that I kind of reverse engineered how Google was built, Google searches specifically, how Facebook was built, how amazon.com was built.
- ▶ 25:11 Guillermo Rauch And I mentioned, I remember reverse engineering Amazon and Google and Facebook.
The business of growing and monetizing an open source product | Ashley Kramer (GitLab CMO/CSO)
- ▶ 53:57 Ashley Kramer You can Google it because I don't remember, but it's basically understanding if this is financial information, it can't be on the public handbook.
- ▶ 1:08:57 Ashley Kramer So I came back to my team and I gave them this list of like, this is what I was Googling the whole time that I was on there because I didn't know some of them, but I said, we're, we're actually not really speaking to them, which tells me…
How to leverage intuition, customer support, and raw effort | Colin Zima (Omni & Looker)
- ▶ 10:33 Colin Zima and I kind of moved into like a real pure floater, which ended up doing a lot of sort of like strategic work around the acquisition and then sort of like post acquisition, a lot of the data integration with Google. 3 times in the scene
- ▶ 49:54 Colin Zima It's funny to juxtapose against Google because I, I worked at Google, you know, before the Looker acquisition and they have this idea of OKRs and like explicitly, you're not supposed to hit your OKRs. 2 times in the scene
- ▶ 53:49 Colin Zima And this was right at the rise of Redshift BigQuery Snowflake.
- ▶ 1:04:20 Colin Zima And like anyone can go take the time and I'm not talking like go spend time on Google.
- ▶ 1:11:20 unnamed speaker I mean, going back to like your early days at Google, sort of highly emphasized in the role of product people. 2 times in the scene
Contrarian takes on growth, hiring, and fundraising | Wade Foster (Co-founder & CEO at Zapier)
- ▶ 9:42 unnamed speaker You know, just saying, hey, we're not going to try and go toe to toe with Google or Facebook or Netflix or whoever trying to hire Bay Area engineers and saying in 2012, literally saying like, we're going to go compete for all of the great… 2 times in the scene
- ▶ 12:04 unnamed speaker And so if there's enough people searching for that specific type of bingo card, you're going to really rank quite well in Google for this.
- ▶ 27:50 unnamed speaker Like you think like a Google, you know, it's been sad about Google. 3 times in the scene
How young outsiders changed the shipping industry | Laura Behrens Wu (Shippo)
- ▶ 40:09 Todd Jackson The seventy-twenty-ten framework, like that's, you know, way back in the day when I was at Google, we used to talk about that.
AI Hot Takes and Unusual Twitter Fundraising Strategies with Dan Siroker (Rewind AI)
- ▶ 25:25 Dan Siroker I had, and you know, you and I both were at Google for a while. 2 times in the scene
- ▶ 40:17 Dan Siroker I think there's a lot of reasons to suggest that, you know, opening AI, probably Google and others, and maybe Microsoft are going to have a huge, huge hard to entrenched positions there.
- ▶ 43:38 Todd Jackson I think for a long time, you know, when you and I were at Google, uh, and then after that I was at Facebook, I, I feel like there was a period of time, 1015 years ago, where the thinking was that consumers are willing to sacrifice some of…
- ▶ 1:01:24 Dan Siroker I did a Y Combinator in winter, and I had previously worked at Google. 5 times in the scene
- ▶ 1:01:31 Dan Siroker And I didn't, even having worked at Google and, and worked on products like Chrome and AdWords, I didn't understand the mantra of,
- ▶ 1:01:31 Dan Siroker And I didn't, even having worked at Google and, and worked on products like Chrome and AdWords, I didn't understand the mantra of,
- ▶ 1:01:49 Dan Siroker And so that was a cultural thing that started from the early days that served us well, served Google well for certain products like search and probably will for large language models where like the sophistication of the technology is the…
- ▶ 1:01:58 Dan Siroker But you look at a long list of Google products like Google wave and Google glasses and Google buzz things that were technology and search were a problem.
- ▶ 1:01:58 Dan Siroker But you look at a long list of Google products like Google wave and Google glasses and Google buzz things that were technology and search were a problem.
- ▶ 1:01:58 Dan Siroker But you look at a long list of Google products like Google wave and Google glasses and Google buzz things that were technology and search were a problem.
A guide to building product in a post-LLM world | Ryan Glasgow and Kevin Mandich from Sprig
- ▶ 24:03 Ryan Glasgow But when we start to think about shifting from Google's open source models to using something from OpenAI, I do think it's critical to have at least one, you know, ML data scientist 2 times in the scene
- ▶ 36:58 Ryan Glasgow You know, Google's admitted they don't know how their model actually works, but actually to get the output that you're looking for.
- ▶ 57:04 Kevin Mandich I think given our current switch to hosted LLMs and away from, you know, taking Google's Burt and fine tuning it ourselves, more towards, I guess we call like a full stack ML engineer, somebody who's able to, you know, help
- ▶ 58:46 Ryan Glasgow You've used, you know, ChatGPT, you've tried Bard, you've tried all the models, but I think for a lot of individuals, they're still learning how to use these models.
How to supercharge your engineering org | Kellan Elliott-McCrea (Adobe, Dropbox)
- ▶ 40:49 Kellan Elliott-McCrea I think the canonical example of this is Google, by the way. 4 times in the scene
- ▶ 55:34 Kellan Elliott-McCrea You know, this is what's sort of found in the, the Google psychological safety work and, and just kind of two pizza teams.
The Zero to One B2B marketing playbook | Alex Kracov (Lattice, Dock)
- ▶ 0:21 Alex Kracov You know, if I didn't know how to do something, I'd watch a YouTube video, I'd search on Google, and I just had this knack
- ▶ 4:50 unnamed speaker Spend a little money on Google AdWords.
- ▶ 5:56 Alex Kracov And so, you know, I was looking, let's say if we start running a couple of Google ads,
- ▶ 19:49 Alex Kracov Think of Google Docs and Asana and ClickUp and so on and so forth, and try and use those to work with customers.
- ▶ 32:56 Alex Kracov My first job and what brought me to California was I, um, was a con consultant for Google and I was involved with like Google fibers rollout in different cities.
- ▶ 36:29 Alex Kracov I'd search on Google.
- ▶ 59:35 Alex Kracov They are searching on Google.
Lessons from Slack on decision making, product-led growth, and taking big swings | Noah Desai Weiss
- ▶ 2:50 Noah Desai Weiss One of the things that we talked a lot about at Slack, which is very in contrast to my early days at Google, is about not being data driven with every decision that you make.
- ▶ 12:20 Noah Desai Weiss You know, when I started my career at Google in search, it was kind of this, like, unbelievably perfect garden for letting a hundred different teams kind of all experiment independently with a couple different objective functions you're…
- ▶ 12:20 Noah Desai Weiss You know, when I started my career at Google in search, it was kind of this, like, unbelievably perfect garden for letting a hundred different teams kind of all experiment independently with a couple different objective functions you're… 2 times in the scene
- ▶ 44:46 Noah Desai Weiss And so this is not about any single interaction at a large company like Salesforce or at Google, but I think when people complain about organizational politics, I think what they're usually saying is there are different parts of the…
- ▶ 52:33 Noah Desai Weiss When I was at Google, they used to have this model they called seventy-twenty-ten, and I think they kind of classified as, you know, 70% should be, that first category you said, like, low-hanging fruit, obvious wins, incremental. 3 times in the scene
- ▶ 52:48 Noah Desai Weiss I don't know, back then it was maybe Gmail and Google Maps had a lot of momentum.
- ▶ 55:48 Brett Berson So like an example would be like back in the early days of Google and some other companies, they believed that you should never have any managers. 2 times in the scene
- ▶ 1:12:12 Noah Desai Weiss Or the absolute worst thing, and this happened at Google all the time, they were notorious for this, is like launch,