Manyika: Google Labs actively runs about 30 different experimental projects
“So if you go to the Google lab site, you'll probably see about 30 different things”
Manyika: 20% of Google Labs projects stem from employee 20% time
“So if you think about the things that are in labs, I would say something like maybe. 80% of them came out of people actually in the labs team. The other 20% came from 20% stuff.”
Google Labs' Jules Partners with GitHub for Agent HQ
“Jules is, yeah, partnering with GitHub for the new agent HQ stuff, which we're excited about.”
Autonomous coding agents require dedicated computing environments over local workspaces
“Autonomous, you know, means, like, it has its own computer, right? So for Jules, it's, you know, the end. Yeah, exactly. So tons of agents that run, you know, locally or in your workspace with you while you're coding but if you want something that's going to r…”
Google Labs launched Jules CLI, plans integration with Gemini CLI
“So we have the dual CLI we launched a couple of weeks ago, which lets you interact with it. By the time this podcast comes out, we'll be in the integrated with the Gemini CLI.”
Borovik: Agent scaffolding gets simpler as underlying models improve
“I think one of the things we've seen is the scaffolds get simpler and simpler over time as the models get better. And in some ways, this, the scaffolding is almost a crutch for things the model struggles with. For example, like, you know, really complicated su…”
Borovik: Jules locks sessions after a 30-day data retention window
“We store some data for a session, but it only lasts. We only store it for 30 days. And so after 30 days your session becomes locked. And when the first user starts first started hitting that, they were upset. We're like, there's no way anyone's gonna be using …”
Jed Borovik: AI coding tools will not reduce software engineer hiring
“I don't really Buy this, like, you know, that we're not gonna hire more software engineers story. I think, like, for a few reasons I mean, this is an example that, that often comes up, but is it, like, kind of the elasticity of the demand for software?”
Borovik: Google's Jules coding agent now supports image uploads
“With Jules, you can upload images now.”
Stein: Google tested AI Mode with ~500 people before Labs
“And then we did bring it before labs actually to trusted tester group. There were maybe like, 500 people externally that we added onto it, and we had pings with them.”
Stein: Google launched Search Live conversational voice out of Labs
“Funny enough, we actually just launched search live actually out of labs this week. And so you can talk to search in a live AI setting, which is conversational voice, voice on when you're driving, you can just talk all the knowledge I talked about, what you ca…”
Google Labs traffic spikes 15% upon Veo 3 release
“But my hunch is it's largely VO three, because traffic to that To the Google Labs spiked 15% in the month VO three was released, which is really exciting.”
Woodward: Collaborative notebook sharing is driving major NotebookLM growth
“And what's been really cool is we've enabled a lot of sharing recently in the last couple of weeks. So people are creating notebooks and sharing them either with their friends or their colleagues at work or even in a class. And you're starting to get almost li…”
Woodward: Engineers Emerge as Key Users for Google's Stitch UI Tool
“We originally thought like, okay, who might like this? Maybe it's designers. Maybe it's PMs. Turns out engineers really like this tool because they can describe maybe a screen if it's like someone trying to start a company and they get like good base level of …”
Martin: Users' first prompt on document LLMs is almost always 'summarize'
“Before we did the IO announcement in 23, we'd already done a lot of studies. And one of the first things that I realized was the first thing anybody ever typed was summarize the thing, right? Summarize the document. And it was like half like a test and half ju…”
Martin: NotebookLM is sunsetting source text transformation due to low usage
“We had this idea that you could highlight the text in your source passage, and then you could transform it. And nobody was really using it. And it was like a very complicated piece of our architecture, and it's very hard to continue supporting it in the contex…”
Shafqat: NotebookLM Audio Feature Began as Independent Content Transformation Demo
“We didn't actually start out thinking this would live in notebook, right? Like notebook was sort of, we, Built this demo out independently, tried out like a few different sort of sources that the main idea was like go from some sort of sources and transform it…”
Martin: NotebookLM supports up to 50 sources of 500,000 words each
“Notebook.ln can handle up to 50 sources, 500,000 words each, like you're not going to be able to jam all of that into like the context window.”
Martin: Strong internal product taste accelerates AI iteration over external raters
“I think you just have to be really opinionated. I think that sometimes if you are, your intuition is just sharper and you can move a lot faster on the product because it's like, if you hold that bar high, right? Like if you think about like the iterative cycle…”
Martin: NotebookLM team includes a dedicated character designer for host personas
“I mean, we have like a really, really good like character designer on our team.”
Shafqat: NotebookLM does not directly prompt AI hosts for humor
“Humor is contextual also, like super contextual is what we're realizing. So we're not prompting for humor, but we're prompting for maybe a lot of other things that are bringing out that humor.”
Martin: Audio hooks NotebookLM users, but core features drive retention
“We have some early signal that says it's a really good hook. But people stay for the other features.”
Martin: NotebookLM AI hosts choose their sign-offs dynamically without hardcoding
“So in this case, this is based on what they think is the most appropriate thing to say at the end.”
Martin: Google launched Project Tailwind with only three engineers
“When we launched it, actually, when we announced Project Tailwind, I think we only had three. We had three engineers, it was myself, we had a designer, we had Steven, and that was it.”
Martin: NotebookLM operated with only eight engineers through September 2024
“And so even between the period when we did the first IO last year to as recently as like last month, you know, we've only had about eight engineers or so.”
Martin: Google Labs starts product development with technology, not user problems
“In labs in particular, we start with the technology and it's actually a very interesting place to start where you're like, okay, what are the practical applications to this?”
Martin: NotebookLM runs on Gemini 1.5 Pro and dedicated audio models
“The truly like the Gemini models are so powerful and we use Gemini 1.5 pro as sort of the base for notebook LM. And then we have a powerful voice model on top of it, an audio model on top of it.”
Martin: Internal tool Content Studio is the secret behind NotebookLM's audio
“The real secret sauce to what makes this really good is something we've built, which is a content studio.”
Martin: NotebookLM's Discord community has grown to approximately 60,000 members
“We have about 60,000 people in it.”
Martin: Google Labs moves fast by drafting specs, designs, and code simultaneously
“In labs, we have the environment to do it. We have the environment to move fast. We have far, far, far fewer processes, maybe even to a fault. Sometimes we'll go to meetings that are literally, you know, the product managers, the engineers, the designers all t…”
Martin: NotebookLM user demographics are shifting from students to enterprise professionals
“Where I think in the beginning we saw educators, learners really loved the product, and they were a lot of our demographic. It's really now a big mix of, I would say educators and learners are still a big part of it, but really professionals, right? Huge inter…”
Martin: NotebookLM enterprise inbound forced Google to hire dedicated business development
“It is now at a point where I have to hire a business development person because I was like, hey, I have to ship products, and I'm actually taking, like, customer calls every day now.”
Martin: NotebookLM envisions a fully remixable any-input to any-output AI editor
“I imagined that in the future, You could have an AI editor surface, right? Fully remixable, any input, any output, right? And that, that to me is sort of like a really powerful sort of core nugget where if you imagine you could take anything, whether it's vide…”
Martin: A dedicated mobile app is NotebookLM's next major product horizon
“The mobile app to me is such a big gap in terms of the experience today, which I think is like understandable considering where we're at in like the product development cycle. But I think that's the next horizon is, hey, how different is the mobile experience …”