Everyday AI Podcast – An AI and ChatGPT Podcast - EP 617: Gemini in Google Chrome: What’s new and 6 easy use cases
Episode Date: September 24, 2025AI is coming for the world's most popular browser. 🤖Google recently announced Gemini in Chrome, bringing AI (and eventually) agentic features to the browser used by more than 3 billion people.... We've been using Gemini in Chrome for a few months, so we're recapping some of our favorite features, tips and 6 easy use cases that you can take advantage of. Let's put AI to Work on Wednesdays! Gemini in Google Chrome: What’s new and 6 easy use cases -- An Everyday AI chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Gemini in Chrome Official Rollout DetailsThree Tiers of Gemini in Chrome AccessUpcoming Agentic Browser Features ExplainedGoogle Workspace Integration with GeminiMultimodal Capabilities in Gemini for ChromeUse Cases: Summarizing Gmail and Google DocsYouTube Video AI Summaries in ChromeHyperlocal Maps Search with Gemini in ChromeChrome History Recall and Context FeaturesAgentic Browsing vs. Standalone AI AgentsTimestamps:00:00 Google's New AI-Powered Chrome03:51 "Exploring Google Gemini Everywhere"07:26 Google Product Updates & Integrations13:29 Google's Integrated Apps Excitement16:14 "Checking Screen Access and Tools"20:04 Google Vids AI Updates21:56 "AI Summarizes Newsletters and Emails"26:49 Top Google Notebook LM Use Cases27:50 Google's AI Advantage in Video Summaries32:52 "RSL vs. AI Scraping Debate"34:12 Subscribe to Everyday AI PodcastKeywords:Gemini in Chrome, Google Chrome AI, Agentic browser, Agentic features, Browser AI integration, Google Gemini, Chrome AI side panel, In-browser Gemini, Multimodal AI, Chrome desktop rollout, Workspace rollout, Google Workspace AI, Chrome history recall, Multi-page context, AI assistants in browsers, Agentic web capabilities, Agentic checkout protocol, Chrome AI features, Google Calendar integration, Gmail summarization, Google Maps AI, YouTube AI integration, Google Docs AI, Summarize emails with AI, Document simplification, Personal productivity AI, AI-powered browsing, Chrome extensions with AI, Natural language search in browser, Hyperlocal map guide AI, Competitive intel with AI, Chrome AI omnibox, AI-powered live help, AI in YouTube summary, Multimodal browser tools, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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More than 3 billion people are about to get not just a smarter browser with a ton of AI baked in,
but an agenic browser that can start performing actions on their behalf.
That's because Google just announced Gemini in Chrome, the company's new foray into a smarter browser.
And I think even though the rollout is going to be slow and we're going to be talking about that on today's show, I think this is something you have to pay attention to.
Even if you're not a heavy Google Chrome user, which I think most people are, or even if you're not even a super heavy AI user now.
Because I think that agentic browsing and AI in the browser is going to become the status quo.
And if you're a knowledge worker like so many of us, well, chances are you spend a good majority of your day in front of a browser.
So we do have to rethink how we work.
And we're going to be tackling that on today's show and a whole lot more.
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We're going to be recapping the highlights from today's show.
But also, there's now like 620 episodes that you can go watch, listen to,
read about talking with some of the world's smartest experts on AI, all sorted by category.
So make sure you go check that out.
Also, we're going to have today's latest AI news in the newsletter.
But let's talk about Gemini in Google Chrome, what's new, and also go over six easy use cases.
So on today's show, we're going to talk about what Google announced in Gemini in Chrome.
There's actually a couple tiers of rollout.
It looks.
We're going to preview what's working well, what's maybe not or not out yet, and what will be
released next.
And then I'm going to give you actually my six favorite use cases for Gemini in Chrome.
All right.
So what the heck is this?
Right?
You know, like one of the big things with Google Gemini that's so much different than something
like chat GPT or something.
something like Claude is Gemini's everywhere, right?
If you want to use Chad GBT, BT, you go to chatGPT.com.
If you want to use Gemini, it's like, well, where can't you use it?
And it's almost like a good thing and sometimes the bad thing.
Because yeah, you can go to gemini.com or you can go to AI studio.
Google.com.
You can go to notebook L.M.
And you're technically using Google Gemini in Google's AI mode and in their AI overview.
You're using Google Gemini.
If you're using Google Docs, Google Workspace, you can chat with Google Gemini there.
So there's so many places where you can use Google Gemini.
So here's actually one more.
For this one, I think in the long run, if the execution works, might be one of the more useful, right?
Because I think there's so many times where a lot of us might think of going into a large language model, right?
Maybe you're reading something on a website or you're in a document.
And you're like, oh, like, I should, you know, take this over to Google Gemini or I should take this over to chat GPT or or Claude or co-pilot, etc.
But you're like, now it's fine.
I'm in, I'm in here.
You know, I'm doing the work anyways, right?
So, well, what if the browser just had it baked in and you didn't have to do anything?
And you could just click one button.
Now, you didn't have to open a new tab or a new window, you know, make room on your screen for it or even just a keyboard shortcut.
Right.
So that's what we get in Gemini in Chrome.
So it is an in Chrome Gemini side window that uses the current tabs page content to answer questions and also to help you browse.
There is a phased rollout.
So I will say this.
I'm on the Google AI Ultra plan, their highest tier plan.
So I had Gemini in Chrome for a couple of months.
But what they just announced in their announcement video like two or three days ago, I don't have all those features.
So I'm going to call this.
There's three versions.
There's the version that everyone, you know, if you're on the highest tier, has had access to for a couple of months.
There's the features that are going to look like they're starting to roll out now.
And the rollout to paid accounts as well or to workspace accounts is going to start in October.
And then there's some features more on the agentic side that are coming at some point later.
So you can almost think of this as three different versions.
There's the version that's already been out.
There's the version that they just announced.
And this is what the new version is.
And then there's some features that are going to come later down the road.
And then also we're going to talk separate from the Gemini rollout inside Chrome.
Just talk about some of the other use cases of using it inside Google's actual different platforms,
inside Google Docs, inside YouTube.
And there's actually a couple really cool use cases that I'm just kind of stumbling on now.
So we're going to go over those live.
as well. All right. Let's do a rundown of what's important, the features, all that good stuff.
So number one, no subscription required. Yes, this is why there are more than three billion Chrome
users worldwide. I don't know, you know, how long it's going to take to get to other countries.
The first phase of the rollout is going to be two desktop users in the U.S.
So if you're on a Mac or if you're on a Windows PC, and if you're using Google Chrome in the US,
even if you're a free user, even if you don't have a paid Gemini account, it's going to be rolling out.
Also, like I said, workspace availability, it will be available for workspace, which is huge
because I know so many Google Gemini products don't always get released if you're using
workspace for business, right?
So as an example, for all my different businesses, I've always used Google Workspace.
So, you know, my work email is Gmail and, you know, my work spreadsheet is Google Sheets, right?
So if you're like me and if you use Google products in your organization, luckily, it seems like we won't have to wait too long to get the rollout for this because sometimes, yeah, they make workspace users wait a little longer.
The other thing I talked about is a tight integration with Google's products.
So being able to work with your Google Calendar, YouTube, Maps, etc.
The other one that I'm looking forward to getting my hands on is multi-page context.
So being able to talk to the Gemini assistant.
And if you have three or 10 tabs open for it to be able to understand the context between all those different tabs.
Another cool feature here is Chrome History Recall.
Right.
So just, you know, maybe you're looking for something.
You know, like, hey, what was that, you know, that white paper that I looked at last week from one of our competitors?
and it's going to be able to bring that up.
So it's just bringing a lot of natural language AI features
to the entire browsing experience.
And then what has not been rolled out yet,
but Google did demo this is the agentic capability.
So it will gain agentic features to perform multi-step tasks,
such as adding items to a grocery cart,
and then pause before the final purchase,
which is interesting because we did see Google's new agentic check.
out protocol, but it looks like at least to start with Gemini in Chrome will not have those
capabilities, even though Google is building the capability itself for the agentic web.
So I would assume that eventually Google will roll that out, but they did just announce it
like a week ago.
So I'm guessing it's going to be a couple of months before any major providers are using that.
So that's, you know, in a nutshell, kind of what's new.
So, well, what does it matter to you?
Like I said, I think this is going to be the status quo.
Using AI in your browser, it's going to be like an expectation, right?
It's going to be, I think, as commonplace as extensions in your browser, right?
I'd say just about probably everyone that uses, you know, Chrome or Microsoft Edge or, you know, perplexity's common.
And it doesn't matter.
So many people have just extensions.
I think using AI in agenic features in a browser is going to be as commonplace as that.
It's not going to be, oh, I'm using, you know, Gemini and Chrome.
I'm ahead of the curve.
No, it's like pretty soon if you're not using it, it's going to be a little weird.
And also you have to know, Chrome is the world's most popular browser.
It's not even close.
And I do think, right, there's been all this buzz about AI agents and,
I've been on the record saying this many times.
I think agenic browsers are actually going to have more utility and be more widely used
than actual AI agents in 2025.
And, well, one of the reasons is, well, when you have AI that works on your machine,
you know, and especially agentic features, I think it's just so much easier for the average,
everyday person to go and take advantage of this.
You might be thinking, wait, isn't there other?
others out there, yes. The agentic browser landscape has grown very, very quickly over the last few months.
I do think the company out ahead, at least right now, is actually perplexity with their Comet
browser. It's extremely impressive in terms of, you know, kind of true agentic features, right?
Being able to navigate websites, you know, click on things, drop downs, you know, carrying context from
one tab to the other, you know, doing a lot of what, you know, an intern might do when you sit them
down in front of a computer, I think perplexity comment is kind of ahead of the curve.
Microsoft Edge has some great agentic features and AI features baked in.
And then like we're talking about today, Google Chrome with Gemini in Chrome.
And then also OpenAI's browser, which has been reported on, will reportedly be released sometime
soon.
I would expect this fall.
Here's the thing to keep in mind, though, which is interesting.
All of these, the four big players here, all based on Google Chrome's Chromium, right?
Obviously not Google Chrome, but the other three are actually using Google's open source browser Chromium.
So if you're seeing something in some of these other browsers, well, you have to know that number one, that means it's possible in Google Chrome.
And number two, there's a good chance it might eventually.
at some point, come to the masses.
And when I'm talking about masses, again,
I'm talking about billions of people,
the way that so many of us work.
So, like I said, a little bit more on the rollout.
It's going desktop only in the US first,
making sure that you, you know,
so if you're wondering, like, oh, do I have access yet?
Well, first, update your browser, right?
That's going to be the first thing that you're going to want to do.
And then understand that it is a phased rollout.
So it is reportedly going to consumers first.
So that's your standard Gmail account.
So I would go ahead today as you're listening to this, update your browser.
You know, see if you have access yet.
If not, it should be rolling out soon.
And this, like I said, you don't need the $20 a month, you know,
Google Gemini subscription or the workspace subscription or anything like that.
But on the workspace side, it is supposed to be rolling out in early access.
in workplace admins do have to enable it first.
So especially for larger organizations, you know,
if you are the one in charge of that,
make sure that you enable that in your admin settings.
And here's the other thing that I'm excited about.
It's where you work.
And this is Google's connected apps.
So not only can, you know, Gemini in Chrome
understand the context of your pages.
Well, it can also, even when you're not,
not in those pages, work with your other Google products, such as your Google Drive,
your Gmail, your calendar, docs, drive, keep tasks, map, and YouTube.
So I haven't had that available on the Gemini in Chrome on my Ultra plan yet,
so I haven't been able to test that.
But I am looking forward to that.
So a couple of useful examples, and we're going to be going over actual demos here in a
minute, you know, summarizing your Gmail, adding tasks, creating calendar events without having to
pull up your calendar, right? Pulling context from a map or a YouTube video without having to watch
it, right? So pretty great, I think, use cases for just everyday tasks. So again, I don't think
Gemini in Chrome is necessarily going to replace, you know, Gemini.com or notebooklm
or, you know, Google's AI Studio, which is one of my favorite tools to use.
I think it's supposed to meet us where we're at,
and it's supposed to make it easier to use what is right now
the most powerful model in the world.
All right.
So we're going to get into some live use cases,
but before we do, a quick word from our partners.
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All right.
So let's get straight into it.
It is AI at work on Wednesdays.
We go to work together.
So I hope that you have access to this and can follow along.
But if not, I'm going to quickly show you six of my favorite use cases of how I've been using this so far with kind of the V1 of Gemini and Chrome that's available.
Once I do get all of these other new features, I'll probably be doing another show on it because I think it will really expand the capabilities.
All right. So let's dive into those use cases right now, live stream audience. If you could do me a favor, let me know if you can see my screen. It might be a little clunkier than normal because I'm actually having to use my personal Gmail profile to go over these. So there's some certain things that are going to be a little clunky. But first things first, how do you know if you have access? Where is it? Right. So if you look in the upper right hand corner of the browser,
there is a now a Gemini logo.
Okay.
Also, at least on my computer, on my Mac, I also have that on my task bar.
So it not only lives in the browser, the actual browser window, so one little click, but also on the desktop.
And then there is a keyboard shortcut that I can bring this up.
So I'm going to go ahead.
I have my, they call it to the Omnibox, is the name of it.
It's kind of like a sidecar.
and you can move it around, which is pretty nice.
But you can just click Command G at any time,
and that pulls that little Omni box up,
and I can kind of move it around my screen.
I know some people are going to really like that.
Some people are going to hate it.
I'm fine with it either way.
I know a lot of people just like it,
kind of pinned on the sidecar position, you know,
so you can toggle it in and off, you know,
kind of like notebook LM, right?
How you can, you know, it's like a tray,
and you can slide it back, you know,
back and forth. So the Gemini and Chrome is not really like that. It is just kind of this box
that you can move around. Like I said, pros and cons. All right. So the first use case is something
it's not actually going to work out very well, at least on the podcast or the live stream side
because I'm not able to properly share my audio. But I will tell you what the use case is.
And this is one that I do use a lot. But I'll tell you if it actually is,
is working correctly.
Okay, so what's happening now is I am on our episodes page
on your everyday AI.com.
And on each of these pages, I mean,
we got a lot of episodes.
So each page, I think has like 50 episodes.
So one thing, use case number one is live help on any website.
So yes, that's live.
So the first thing that you do have to do is, well,
you have to share your current page.
All right, so there's gonna be a button
in the bottom left hand corner.
I'm going to click share current page.
And then there's this almost kind of glowing kind of animation that goes around the screen.
So I know that Gemini in Chrome can see and understand.
And this is the thing.
We're talking multimodal here, which is great.
And I'm going to have a couple of other use cases.
But I wanted to start with a multimodal case right away because I can talk to Gemini.
So what I'm going to say here, well, you'll hear me say it.
But I'll tell you what Gemini said and recommended.
All right.
So like I said, a ton of, ton of information on.
the page too much for me right now.
So I'm going to go ahead.
I'm going to click the go live button down here and talk to Gemini.
Hey, can you, I'm interested in AI and video.
Can you tell me which episode on this page I should listen to?
All right.
Thanks.
All right.
So I know that you guys aren't going to be able to hear that.
But there is the text transcription here.
And it said the voice, the Google live voice came on and said, if you're interested in AI
in video, episode 602. So if I scroll down, let me see episode 602. There we go. Google Vids,
the new AI updates to the platform you can't afford to ignore. So great job. So if you're
ever on a page and you're feeling overwhelmed or, you know, maybe, I mean, you can even think
of personal use cases if you're shopping for someone, right? Hey, what would, you know, on this page
where there's a thousand toys, what would my six-year-old niece want? You know, here's a couple
of things about her, you know, give me, you know, the three things on this page that might be best.
So if you're ever looking at something and you're just feeling overwhelmed and you don't
necessarily want to sit there and type it all out, I love this feature and it's a great use case.
So just live help on any website.
All right.
Use case number two, something we can all relate to summarizing emails.
All right.
So when I'm switching tabs now, I don't have to reshare anything.
So if you, for our live stream audience, you'll see it.
But on the podcast side, you know, as you're jumping around from tab to tab, it's actually going to update.
So you know it's seeing the correct information.
All right.
So now all I'm going to do is I'm just going to say summarize.
I'm actually going to copy and paste this so you don't have to watch me fumble around a bunch.
So I'm just going to say summarize this newsletter from Everyday AI.
So I just had my newsletter up.
It's just the one from today.
Yeah, this is the one from this morning.
I'm just saying summarize this email from everyday AI.
And you'll see here also, there's always the options on which model you want to use.
I'm using 2.5 Pro, Gemini 2.5 Pro.
So it's usually going to take a little bit longer.
It's already done.
It took about five seconds there.
Oh, no, actually, sorry, it's still going.
But I can also switch if I want to do it a little faster.
I'm going to go down now.
And I'm going to use Gemini 2.5 Flash.
there we go. And I'm just saying summarize this newsletter. And instantly, it's done. So did a really good job,
quick summary of the newsletter. And I've actually got this to do some other things that I didn't
think were possible. So I'm going to jump back over. And I'm going to ask it to summarize an email that
it's actually not on screen. I actually got this to work earlier. And I wasn't sure how because I don't
think these capabilities are supposed to be out yet, at least not in my account, but it actually
was able to go through and access other emails, not just the one that I had on screen. So in this
case, yeah, so it worked again. So I asked it to recap the everyday AI newsletter from September
19th, which was last Friday. And then when I show the thinking, it actually shows that it's
searching my inbox. So, you know, again, once the final rollout comes, comes out, we'll see what the
capabilities actually are, but actually a little bit more than meets the surface than just
summarizing whatever email is on your screen. All right. So let's go into use case number three,
and that is simplifying a long document. Okay, so now I am in Google Docs. And I have this super
long document. It's 31 pages about small language model information in 2025. So nothing ground breaking
here, right? You probably all use something like this, but again, I think such an easy use
case, but personalizing it for me. So I'm saying, explain, I'm saying explain 5-4, which is an
open model from Microsoft, and I'm saying explain it using basketball terms. Again, one of the
best things about having an AI in your browser is the ability to instantly not just summarize
and synthesize information, but to make it personal for you, right?
Personalized learning is great.
I'm just confirming here.
Okay, yeah, I'm back on 2.5 and it's done.
So I'm just going to read just one part here.
So it said, let's break down the concept of small language model like 5-4 using a basketball
analogy.
So it says great, great analogy here.
It says the superstar versus the specialists, essentially saying a large language
model is, you know, a superstar, whereas a small language model excels at one thing,
like a three-point specialist. So pretty good comparison there. Yeah, and I scroll through here,
it all looks accurate and correct and it did a really good job. And the other thing is, well,
this information was obviously not even on my screen, right? So a lot of people, you know,
don't understand that. If you haven't used AI in a browser before, you know, it's, this is a very
long document, right? So I could ask something about on page 30, on page 10, on page 5,
and Gemini and Chrome does a really good job. All right, let's go to use case number four.
Again, tapping into more of the multimodal features here. All right, so I am on a website,
sim4.com. All right, and there's a graphic here about recurrent neural networks. And you'll see
here. This is an image. It's a flat image, but I'd like to understand this in a different way.
So all I'm saying is, can you explain the recurrent neural network graph in simple terms? So this is
another great thing about using AI in the browser. It's not just looking at the text. It has the
ability to visually understand the information as well.
So there we go.
So it says based on the diagram in the article.
So went through the web page.
It saw this diagram that I was referencing.
And it did a great job of breaking down the input layer, the hidden layer, or the loop, and
then the output layer.
So explain an RNN or a recurrent neural network.
So again, this is not, it wasn't just looking at text and say, okay, well, let me rewrite
this text for you.
It's an image.
All right.
So we're already seeing Gemini and Chrome.
showing off multi-modalities, right, with the first one, use case that we went over with the
live help on any website. I was able to talk to Gemini Live, even though I know you weren't
able to hear it. I heard it. I don't know why the mic doesn't pick it up even out of my speakers.
Anyways, and then this one, having visual understanding and, you know, essentially computer vision
of whatever's on the page, right? So even if you're working on, I don't know, designing a website,
right you can ask it about the spacing you could ask it about the overall layout the contrast right
so yeah it's much more than just you know rewriting text that's on the screen all right two more
quick ones and these are ones that i like and one that i think you're going to save people a lot of time
so now i'm jumping over to youtube and i have a video from google one of their recent podcasts
going over some new features in notebook lm so all i'm saying i said
Bullet point, the favorite use cases shared in this notebook LM video.
Because maybe I don't have 28 minutes to listen to this,
but I also want to know what the people at Google are saying are their own
favorite use cases.
So it looks like the ones talked about here were writing screenplays,
managing D&D campaigns, deepening understanding of complex documents,
and creating AI generated audio overview.
So those are the different use cases.
The Google team talked about.
in this notebook LM podcast.
So pretty cool.
Then if I want to, I can go take more time
and listen to it if I want,
or I can just instantly get the takeaways
that are important to me.
This is one thing I'm using a lot.
And let's be honest, there's not a super easy way
in the other large language models,
aside from like Google's AI studio, right?
But to try to do something like this
in chat GPT or Claude or co-pilot,
not really possible.
at least without using like a third-party GPT.
So this is a huge benefit in why working with the kind of Google ecosystem within Gemini
and Chrome is actually such a big advantage.
I learned so much on YouTube, right?
And this is one of the ways that I can quickly and easily, you know, leapfrog that learning
is, you know, I might see a very long video and I'm like, ah, you know, 80% of this is going
be fluff. I just want that 20%. You know, sometimes I'll watch the whole video,
but sometimes I'll just get a summary or sometimes I'll read a summary first and then watch
the video. So hopefully it sinks in a little bit more. All right. Our last use case. And this one
is actually really, really cool. This might be more of a personal use case, but I don't know
where else you can do this. And this is something it's going to save you time. And there are
business, you know, use cases for this. But number six is having a hyper local guide that you
can talk to in natural language. All right. Let's give, let's give this one to try. So I am
zoomed into an area of Chicago. And I am saying, find me a deep dish pizza place in this area of the
map that has good reviews and is B-Y-O-B. So you can see how this
might be difficult to do if you were searching manually.
I can't tell you the amount of time that I waste searching for things in Google Maps,
right?
Because yes, there's some things that have filters,
but then other things,
you just got to read a bunch of reviews, right?
Or look at photos.
So the ability to literally,
oh,
I forgot to,
obviously I forgot to share my screen there.
Looks like I clicked off it.
and that's why I couldn't see it.
So again, saving so much time,
literally zoomed in on one area,
finding a specific menu item at a pizza place,
not all pizza places in Chicago,
contrary to popular belief,
not all of them have deep dish.
So it's not only being able to look at their menu and understand,
but also it's able to see which one of these is B-Y-O-B.
And there we go. It says based on the map you're looking at, here are a couple of options, right?
I've heard of this one, this Millie's Pizza in the Pan. It says located right, you know, right in this area.
It's often mentioned as, which is great, it's frequently mentioned as one of the best deep dish pizzas in all of Chicago.
There we go. And then it mentioned another one here as well. So this is such a cool use of
case, right? Because if you're anything like me, I'm always, whether it's a restaurant,
visiting a new place, I'm always in Google Maps. Yes, there's filters, but then for so many
things, you're just having to waste time looking through reviews, looking through photos,
right? To be able to speak with the knowledge that is Google Maps, which is, you know,
one of the most impressive pieces of technologies probably ever, right?
into in natural language to be able to gather those insights without having to click around on the
map without having 30 tabs open. I mean, come on. That's pretty impressive. Like I said,
there's plenty of business use cases that you can probably pull out of this one, this kind of
hyper local guide, right? Especially if you're a local service-based business to do competitive
analysis, you know, on maybe some of your competitors, right? You can zoom in on the area,
you know, maybe there's five competitors in your city. You know, there's some great
competitive intel that you can do now with just a single prompt that goes way beyond what's
available in quote unquote normal Google Maps. All right. That was a lot. I think six of my favorite
use cases now, but I am very excited for the next iteration or the next rollout with Shibby here
in a week or two and all of these new or other features that aren't fully rolled out yet. But I do hope
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This one's going to be a good one.
We have Doug Leeds,
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or RSL in the RSL
collective.
and we're going to be talking about essentially RSL versus the AI scrape
and can large language model licensing save the open web?
This is huge.
You all are going to be hearing a lot about RSL in the near future.
It's going to be one of those episodes that if you want to know about how can large language
models get better, how can the data get better, but also how can publishers get paid,
you're going to want to listen on Thursday to the conversation with Doug.
So thank you for tuning in.
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