Ep 841: ChatGPT Computer History, New Gemini Model, Claude Flexes on the Browser and 7 more AI updates you should use Today

ChatGPT can do what now? 😱

This week's AI updates were low key bangers and under-the-radar model releases. 

ChatGPT's latest update allows it to remember and recall anything you've done on your computer. 

Google's Gemini Flash is actually fast AND cheap again. And a lot smarter. 

And Anthropic is bringing a bit more power to its Claude Chrome extension. 

If you take a week off from your favorite AI tools, you might come back and feel kinda lost. That's what our AI Friday Features show tackles: the latest updates that are available today to immediately upgrade your work. 

ChatGPT Computer History, New Gemini Model, Claude Flexes on the Browser and 7 more AI updates you should use Today -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. Gemini 3.7 Flash Price and Speed Drop
2. Gemini Spark Coding Agent Improvements
3. GLM 5.3 Coding Model Cybersecurity Benchmark
4. GLM 5.3 Open Weights Release Timeline
5. Grok 4.6 Model vs GPT-5.6 Performance
6. Grok 4.6 in Cursor and Developer Access
7. Google Sheets Canvas Interactive Dashboard Feature
8. Claude CoWork Chrome Browser Integration
9. Claude CoWork Sync and Web Automation
10. ChatGPT Ultra Fast API Speed Tier Launch
11. ChatGPT Cerebras Chip Partnership Details
12. ChatGPT & Codex Computer History for Mac
13. Computer History Workflow Completion Automation

Timestamps:

00:00 Rapid AI advancements and price drops

06:06 Introducing Gemini 3.7 Flash

09:24 GLM 5.3 model updates

13:02 Improvements in Chinese AI models

16:11 GROC 4.6 impact on pricing

18:51 Google Sheets app feature overview

22:40 Claude Cowork Chrome extension features

23:33 Using Claude Cowork Chrome extension

26:48 Discussing AI speed improvements

31:18 Reusing skills and saving tokens

34:29 30-day AI learning series

Keywords: 

Gemini 3.7 Flash, Google Gemini, AI model, fastest AI model, cheapest AI model, artificial analysis, model filter, coding agents, API pricing, Gemini Spark, Google AI Studio, Android Studio, Gemini enterprise platform, open source AI, ZAI GLM 5.3, coding model, cybersecurity benchmarks, CyberGym, GLM coding plan, open weights release, Codex, Claude code, Claude Cowork, Chrome extension, browser automation, ChatGPT desktop app, computer history feature, skill suggestion, workflow automation, token usage, privacy controls, Mac integration, API speed tier, Cerebras partnership, ultra fast AI, GPD 5.6 Soul, agentic workflows, Google Sheets canvas, interactive dashboards, data sync, business intelligence, live artifacts, connectivity integrations, workflow optimization, cursor acquisition, Grok 4.6, SpaceX AI, software engineering, output tokens

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Transcript

SPEAKER_00 0:17

AI just got faster, more accessible, and cheaper all in the same week, but there's a good chance you might have missed all of it. I mean, let's see what happened just recently. Google dropped its new Gemini 3.7 flash at half the price of the version that they just released three weeks ago. Then Elon Musk's team shipped a smarter Grok at the exact same price. And OpenAI answered with a new mode that runs its most powerful model 14 times faster. I mean, I still don't even know how that's even possible. But here's why you should care, even if you've never touched an API, because price and speed are the two things standing between AI demos and AI that actually is running inside of your business. Because every time one of those two things drops, a use case that didn't make sense last month suddenly makes a ton of sense. And that was just the model news. I mean, Claude started working inside your browser tabs, your spreadsheets can now turn themselves into live dashboards, and ChatGPT quietly shipped a feature that watches everything you do on your Mac. And I'm here for it. So that's why on Fridays we bring you Friday features, our weekly update of the latest AI features that you can actually use today, not announcements, teasers. Yeah, you can go use all these things right now. All right, let's get into it. Welcome to Everyday AI. If you're new here, my name's Jordan Wilson, and we do this every day. It's a daily, unedited, unscripted live stream, podcast, and free dealing newsletter helping business leaders like you and me not just keep up with everything that's happening, but I tell you what matters, what doesn't, how to use it. And you take that information to grow your company and your career. All of a sudden it's like, whoa, you're the smartest person in AI. Everyone's looking at you like, what's your secret? Well, your secret is this, but also our website, your everydayai.com. So if you didn't know, uh you can go check that out. We have literally 830 plus episodes you can go watch, listen to, and read about all for free. It is a free generative AI university on our website. So uh let's get into it on today's show. Here's what you're gonna learn. You're gonna know the new Mac feature that watches everything you do at work, then tells you what you did all day and maybe finishes the work that you forgot to do. You're gonna know why the smartest cheap model in AI just got 50% cheaper. And the catch that's hiding in the fine prints. And you're gonna know how Claude can now do real work inside your browser tabs, login and all. All right, so let's take a look. Actually, live stream audience, haven't shouted you out in a bit. Big bogey face, good to see you. Brent joining us from London, Brian from Minnesota, Jose joining us from Santiago, uh, Miko joining us from Tokyo. We're we're all over the place this morning. Uh, love to see it. Michelle, good to good to see you join us. All right, a lot of new AI features, y'all. So on Fridays, it's one of my favorite shows, and it's actually been one of our uh more listened to shows because yeah, it's hard to keep up. And some of these things literally, I I had the show planned last night, woke up this morning. I'm like, all right, there's already new things. You know, some things had to get the cut, right? It's kind of crazy because there's some big updates this week this week that didn't even make our top seven. I mean, uh what let me just read these before we get into the ones we're actually going to cover. I mean, the Microsoft Copilot started unifying its co-pilot offerings into the super app. So that's actually happening, wasn't even a top seven thing. Uh, ChatGPT upgraded its voice mode to include projects and file uploads, which is pretty big. I've been using that one a lot since it came out. Uh, Google Gemini released 13 new connectors, and Google also released a slew of new AI features for Google Ads and Google Analytics. So let's get into the ones that we're actually going to be covering today. And let's start with well, if you care specifically about the fastest, cheapest model that is still the most intelligent. Technically, if you look at things like artificial analysis, they actually have a nice little uh model filter. And if you say those are the three things that are most important for you, the new Gemini 3.7 flash is the recommended model. So it is brand new. And if you're wondering, like, wait, Jordan, didn't you just cover this new Gemini Flash like very recently? Yeah, three weeks ago. That's how long it took Google to go from Gemini 3.6 Flash to Gemini 3.7 Flash. So uh let's see what's new. Google released Gemini 3.7 Flash, its new AI model that it calls the most intelligent workhorse model uh for coding and agents. And it's a big step up from the version released just three weeks ago with major gains in coding, debugging, and building web apps. So who has access to this? If you're a paid subscriber, it's available already. So uh interestingly enough, it's not yet available inside of Google Gemini, right? So Gemini.google.com, but it is available in its Gemini Spark model, which is available, uh, the uh kind of agentic offering for Google, which is available in Gemini. I know that's a little confusing. Uh, but if you go into Google's AI studio, it's in there, as well as Android Studio and the Gemini API and Gemini Enterprise platform. So yeah, if you're a normal paid Gemini user, which is I think the majority of our listeners, and you go in there, you're not gonna find it there, but it is powering the Gemini Spark. And if you're using Google Anti-Gravity, so many different ways that you can access Google's uh uh AI. It's like you need a roadmap sometimes. All right, but here's the key thing API pricing is 75 cents per million input tokens and $3.75 per million output tokens. All right, so let's read just quick uh kind of what Google said about their newest release. Let me zoom in on my browser here. Apparently, I'm old and can barely see. All right, so Google says today we're building on the progress of our widely used Flash series by introducing Gemini 3.7 Flash, our most intelligent workhorse model yet for coding and agents. The release comes just three weeks after Gemini 3.6 Flash and is a direct result of developer feedback and algal uh algorithmic uh innovations that we look forward to bringing to future models. 3.7 Flash delivers substantial improvements across software engineering, knowledge work, and web development workflows with an introductory price of half of the original uh 3.6 flash cost per million tokens. So if you recall uh when Gemini 3.6 Flash came out, I said I don't understand this model. Uh, because the whole point of the Flash series, all along from Google, has been to be extremely fast and extremely cheap. And Gemini 3.6 Flash, although it was fast-ish, it was not cheap, right? It was not its normal, you know, you would look at Gemini's Flash series and be like, all right, this is, you know, not like free, but this is a very low-cost model that you can put out at scale. So uh unfortunately, I think a lot of people were upset at Gemini 3.6 Flash because it wasn't really that. Gemini 3.7 Flash gets back to exactly that. So uh who's gonna find this useful? Well, it's useful because it got smarter, faster, and the price cut in half. Again, that's if you're paying on the uh API side, but the real thing is inside Google Gemini Spark. So if you haven't used Spark, that's kind of their uh new ish autonomous coding agent that is inside of Google Gemini. So it's kind of a mode, it's an agentic mode inside of Google Gemini. So for that, it's gonna make, I think, a big difference. So I tested out Gemini Spark. I wasn't super impressed, uh, you know, when it first came out to paid plans, mainly just because I've been using, you know, codex and you know, claude code, claude co-work for so long. And I'm like, yeah, I'm not really seeing anything that I can't do inside of those, but now with a better model, I think some people are gonna find it much more valuable. So who's gonna find this valuable? Well, if you're a business using AI on high via the API, uh, this is might be your new workhorse model, right? Uh, people don't really understand from a serving tokens perspective. Uh, Google is and has always been a leader in the space, right? Even though, even if you don't see a lot of people talking about the Gemini chatbot, when it comes to serving up tokens, uh, right, Google has been a leader and will continue to be. All right. Uh, so oh, Steven Leeds says uh he's been waiting for this one. All right. Hopefully you enjoy uh Gemini 3.7 flash. All right, let's get into our next one. And this is the one that just came out like kind of like an hour, a couple hours ago. So, yeah, we may have a new King of the Open Source Hill. Yeah, we don't even have full benchmarks for it, so we don't know if it's gonna truly be the best open weights model in the world, but it might be. That's because we have a new version of ZAI's GLM5. So a new model it's calling, it's best yet for coding, and the strongest open weights coding models that it has measured. So uh an interesting wrinkle, it's the same underlying model as GLM 5.2, but every single gain just comes from better post-training. So, yeah, not like a completely new model per se. This is more of a step change that's very um, very normal. But the big surprise here in the big jump, at least according to ZAI's benchmarks, like I said, it's too fresh to have any third-party uh benchmarks yet. Big jump is cybersecurity. So ZAI says the model got better at finding and chaining software vulnerabilities than the company intended, and it has already found over a thousand critical security flaws in real software like Linux and Apple's web kits. Yeah, ones that have already uh, you know, according to ZAI, withstood, you know, the fable and the GPT-5.6 uh, you know, vulnerabilities that everyone has found. The thing that's interesting here, you know, so for our live stream audience, I have uh kind of their blog post announcement up on my screen. You can always watch the video version of our podcast on uh your everydayai.com, as well as you can go catch that link in the show notes. But the interesting thing was, yeah, uh some of these benches, right? I mean, they're they're definitely um they're definitely competing with the closed source proprietary models, specifically, you know, Fable 5 from Anthropic and GBD56 Soul. So the one that really stood out is Cyber Gym. All right. So this is kind of uh a metric on the cybersecurity side, which is very important. I talked about that uh, you know, this week. Was that this week that I had my uh yeah, my my rogue AI agent show? It's all blending together now. But you know, let's go back to when Anthropic teased uh its mythos and fable models, and then they sat on it, didn't release it for like three months. The main uh the main benchmark that it led with was Cyber Gym. All right. Uh and right now, you know, it is a pretty important uh benchmark, you know, Cyber Gym and Exploit Gym. Uh, but for Cyber Gym, this new open model is the best in the world, right? Which is crazy, right? Yeah, an open, uh, an open model uh that is the best. So it scored an 84.5 on Cyber Gym, uh ahead of the other two models uh that were kind of tied there for first place previously, which is Fable 5 and GPT 5.6 soul. So a little bit more about GLM5.3 and who has access. Well, it's available to everyone now. So if you are on ZAI's GLM coding plan, or if you have their Z code installed, which Z code is pretty much just a pixel per pixel copy of Codex, anyways. Well, if you use Codex and you're like, Oh, I want to try this new GLM5.2, you can try Z code and it's pretty much the same thing as Codex. Uh, but it's been rolled out to all uh subscribers. So the open weights are not out yet. All right, so ZAI says it will release them in about two weeks after further safety testing. Uh, so calling it open source today is a little premature. It will be open weights, and uh, we at least know that GLM uh sorry, ZAI has a positive track record of doing this. This is what happened with GLM 5.2, this is what happened with Kimi K3, with Quen uh, you know, 3.8, all the Chinese open models they've released, and then they usually will release the weights, you know, in about two weeks. So technically, the weights are not available today if you're super dork and care about those things, uh, but they will be available soon. So, why is this useful? Uh, well, it's been a budget favorite. So the GLM coding plan has been a budget favorite for AI coding, and this makes the budget option meaningfully better at complex long-running tasks. So, uh, the company said on its own tests, it's roughly 50% better at coding than the last version, which is crazy. And if you recall back a couple of months when GLM 5.2 was released, this was kind of the first open model that people started to look at and say, wait, has China kind of closed the gap on US uh frontier proprietary closed models? And it was like kind of right. Um, I think before it was always, you know, US models were tier one and Chinese open models were tier two. So the US models are still ahead, but it's now it's one A and one B with the Chinese open models. So GLM, Kimi K3, uh and Quen 3.8 are probably in that 1B tier uh with you know Anthropics, uh Opus V and Fable 5, along with um OpenAI's G uh GPT 5.6 soul are kind of still in that 1A tier by themselves. So uh pretty, pretty interesting now. Yeah, Josh here on YouTube, good comment said actually OpenAI now has new cybersecurity daybreak blue and red. That is correct. They rolled that out earlier this week. If you read our newsletter, you caught that as well. All right, more new models. Do you see a pattern here? A lot of new models this week. They're coming out faster and faster than ever. And this one, I was kind of surprised with Grock 4.6 is actually a pretty good model, right? It's probably joined that one that you know, 1B uh tier. You know, all of a sudden it is a top contender. So let's talk about what's new uh in the model. So Space XAI, yes, formerly XAI, they just jammed all the names together, but the real name is Space XAI, released Grock 4.6, its newest top-tier AI model built for coding and long-running automated tasks. So uh on a widely watched independent scorecard that is uh in a lot of the benchmarks that artificial analysis covers, it now ties open AI's GPT 5.6 soul in a lot of important benchmarks and jumped five points over the previous GROC. So, yeah, on artificial uh analysis index, it is right there neck and neck with GPT 5.6 soul. So who has access to this right now? Well, developers have it available through the XAI API, and it's also included in the coding tool cursor on all plans. So, yeah, uh cursor obviously uh space XAI uh acquired cursor. Um, so this is available if you are on a cursor plan as well. It's also now the default model in Grok build, which is you know XAI's attempt at building a codex or clawed code competitor. So, why is it useful? Well, the price didn't change from the last version of Grok. So anyone using Grok got a smarter model for the same money if you are paying per tokens. But the biggest thing is this keeps the price war alive uh because the jump from Grok 4.5 to 4.6 was huge, right? Uh, maybe some of that compute that the company has been investing in and the cursor acquisition is starting to pay off in a model that maybe now companies will start to look at. Um, I'm kind of surprised, maybe that SpaceX AI isn't just going with the cursor brand name and going with, you know, Composer 3 or something like that. I will say this, and this isn't my own personal bias. This is just literally anyone on the internet. I think because of some of the areas that um, you know, Grok has uh made a niche in, people from a business perspective, when it comes to paying, you know, tokens, they're not always looking at Grok as a competitor. They're like, oh, this is the one that's you know been doing some you know wild things on the internet. Um, so we'll see if now you know Grok 4.6 kind of teetering between that 1B and 1A tier changes that. But here is what the company says and said in its release: it said today we are releasing grok 4.6. Grock 4.6 builds on GROC 4.5 with a particularly uh with a particular focus on long-running agents and more ambitious interactive and visual work. It stays with complex tasks across many steps, whether researching a topic, analyzing information, working across a code base, or turning an idea into a polished application or work artifact. Uh, the the the other thing that's kind of related to this Grok 4.6, and we won't be covering this on today's Friday features, even though I would have liked to, but it's only available on the very expensive Grok and cursor plans. But the new Grok bot, which does look exciting, and I'm looking forward to it being released on the standard base plan. So, yeah, on the Friday show, we're usually not covering things that are only exclusively on the you know 200 or 300 plans, which is grok bot for now, but grok bot is powered by grok 4.6. So pretty big real uh pretty big week of releases from the SpaceX slash grok slash cursor teams. All right, uh, let's move on to our next one. And this one, I don't know, I'm I'm a Google Sheets dork. Um, so maybe I'm more excited about this one than the average person, but uh yeah, Canvas mode, one of my favorite modes of all time uh from Google Gemini is coming and it's here inside of Google Sheets. So let's talk about this feature. You can go use right now. Google expanded access to its Sheets Canvas, a feature that turns a plain spreadsheet into an interactive dashboard. So, yeah, any uh Google Sheet that you have inside of Google Sheets now, you can literally turn it into an app, which is really cool, right? So, this is you know, at least for me and for a lot of people, all this technically does is cut down on you know two or three little steps in between. Before I would just take my Google Sheet, you know, download it, export it, uh, or connect it inside, you know, uh Codex, Claude Code, or even Google Gemini, the chatbot side, and then go ahead and you know build a little app or dashboard. But now you can do it all inside Google Sheets without leaving. Uh so yeah, it can just build a working mini app on top of your data that stays in sync and it updates as that data changes. So who has access to this? Uh, any paid subscribers for Google Gemini, you have access to it. It is literally just inside of the right panel. So just go click that uh that Gemini uh button inside Google Sheets in plain language. Say turn this into an app that does A, B, and C and it's done for you. Uh, also, now if you have a uh Gemini work or school account, it's also available. All right, so why is this useful? Well, building a decent dashboard and sheets used to mean uh a lot, right? So uh if you're just looking at building, you know, graphs and charts, yeah, you have to kind of uh know the formulas or some formatting hacks uh or use a separate business intelligence tool. Now you just type build me a sales pipeline board and it builds one. All right. So the spreadsheet though stay uh stays as your source source of truth. And here's the kind of the unlock, at least for me personally, right? The thing, most people, if you work a lot in Google Sheets, you know this, but Google Sheets is notoriously good at connecting with all of your different data sources. So, you know, I don't know if you have you know a MailChimp list or if you have a uh, you know, ads going in, meta, whatever it is, right? So many of these platforms sync directly with Google Sheets. So when you can say if you set something up once and then you can build the app inside of Google Sheets, and then if the data is syncing live, you can build a nice little app once and never have to update it again. And you can go in and it's updated every single day. So this is kind of similar to a, I would say, a light version of like ChatGPT sites or the uh live artifacts feature inside of Claude uh code. All right, speaking of Claude, all right, they took a page out of the codex book and essentially the very good uh chat GPT uh Chrome extension that we covered here a couple of weeks ago. Now the exact same thing is available, but for Claude, essentially bringing the power of Claude Cowork into the Chrome side panel. So here's uh let's actually start uh with what Anthropic says. It says the Claude and Chrome side panel is now a Claude Cowork session. Conversations are saved to your history, your skills and connectors work in the browser, and a task you start in a tab can be finished on the Claude desktop, web, and mobile apps. It's available on Macs in Team Plans Today and is rolling out to pro users over the coming weeks. All right, so here's uh kind of the the gist. So essentially, a task that you start in a Chrome tab can now be picked up and finished. Finished in the Claude Desktop if you're using Claude Cower. So it is a co-work to co-work sync, uh, as far as my tests show. Uh, yeah, right. Still, one of the big downsides of Claude Code, Claude Desktop in general is Claude CoWork has no idea what Claude Code is doing. Claude Code has no idea what Claude Chat on the desktop is doing, and vice versa. So there are three very different silos, uh, which is uh unfortunate. So the uh the Claude uh Chrome extension here that works with Claude Cowork is just with Claude Cower. So the exact same functionality has been out for about a month now uh with the chat GPT sidebar, and then that one is unified and it works whether you're using the chat panel or the work panel. Uh, but regardless, a big step up for Claude users. Here's why it's useful. Well, Claude can now see the page that you're on and act on it, and then obviously sync that session co-work to co-work. So everything from clicking, typing, filling forms, and using your existing logins. That's the big unlock there. So that means it can work in the tools that don't already connect to AI via direct connectors or uh MCPs like your vendor portals or just you know internal dashboards that are you know a little more antiquated and don't have you know all that uh you know fun updated AI connections. So now, you know, uh uh Claude co work, just go around, click around, and use uh computer use inside your browser via the updated Chrome extension. So who's gonna find this valuable? I mean, anyone if you're a heavy claw user um and you still have to use the internet a lot, right? That's the big thing. I always say first, always check uh directly integrated connectors or integrations. Second, uh see if whatever app that you're using has an MCP or model context protocol that's supported in Claude, Gemini, ChatGPT, uh Microsoft Copilot, etc. And if it doesn't have one of those two things, that's where something like this new uh claude in Chrome uh Claud Cowork extension really comes in handy because for all the other, you know, probably 90% of the internet that can't talk directly, you know, to your Claude cowork, this new extension will at least allow it to enter uh to understand and use the interface. So yeah, I think anyone is gonna like this if you've had those you know annoying tools or you know, that you're like, oh man, you know, this this app that I use that's a big part of my job, there's no AI integration. Well, now uh at least Claude Cowork uh in Chrome can use it. All right, we have two more, and both of these are from OpenAI. So this one has been talked about for a while. It was supposed to be released in July. So an extra two weeks uh of waiting. And if you are a heavy API user, if your company is using the new GPT-5-6 soul via the API, this one could be a legit game changer. This is the first of its kind across any model, uh, literally in the history of AI, that you can run a frontier AI model at legit blazing speeds. All right, so let's talk about what's new. So OpenAI announced ultra fast uh its new speed tier that runs its most capable model, GBD56 Sol, at up to 14 times faster than normal. So, how the heck is this possible? Well, it is a specific uh partnership with the now public company, the chipmaker Cerebrus, and generates up to 750 tokens per second, with OpenAI and Cerebrus saying it's the exact same intelligence, just legit lightning speed faster. So, who has access right now? So, if you are in this is uh this one is a little more select, but I think for open AI API customers, it's a lot of our listeners. That's why I still included this one. So it is in limited preview, but this is y'all, especially for our larger enterprises. This has been one of the most looking, uh, the most highly anticipated features that I've seen in a while. Uh, right, people have been talking about this for many months. So essentially, uh Open AI did have a Cerebrus model before, but it was an older model. It was GPT 5.3 Codex, so it was a codex-specific model, and it was an older model. I literally just used this like yesterday still. Uh, so it's still a really good model, but it's older, uh, but it's so blazing fast, right? I when it first came out, I was just using it for computer use because it could use a computer, right? Like as an example, not to knock on you know Claude, but you know, Claude's computer use, as powerful as it is, it is painfully slow, right? Codex's default computer use is in my testing five to seven times faster. So when you uh use a Cerebrus model with it, it is like as fast as a human or faster than a human can use a computer, which for me is an exciting unlock. So, why is it useful? Well, until now, if you wanted real-time speed, you had to settle for a smaller, not as capable model. So this kind of removes that trade-off, it's top-tier intelligence at speed that are fast enough for live products. So, you know, as an example, we talked earlier about the new uh Gemini 3.7 flash. So this is at speed, uh, I think technically a little faster. We'll have to wait. Uh, this has only been out for you know less than 24 hours now. So we'll have to see the third-party uh speeds, but presumably this is going to be faster. So this is going to be delivering a level of intelligence via the API that literally the world has never seen. So I haven't even quite wrapped my brain yet around what is going to be made possible uh with this. But uh, you know, speed just matters for business. So, like, as an example, if you are using this to power your agents, you know, uh a 40-step task as an example, it's gonna pay that speed tax on every single step. So, faster steps turn a workflow that maybe took minutes into one that takes seconds. So you can see results faster, you can make improvements faster, and you can find a good internal use case fit faster. Whereas before it just might take longer. So, who's gonna find this valuable? Any large enterprise company that's building customer-facing AI products where people are sitting there waiting for an answer or sitting there waiting for an agent to complete its tasks. So, uh teams, uh, you know, teams that are running uh long multi-step AI agents are gonna find this uh extremely valuable as well. All right, uh, let's go to uh our last one here. Uh, this one, another kind of niche one, but is super, super exciting for me. All right. So if you remember, like a year and a half ago, Microsoft had its recall product that was kind of recalled, uh, right? Not really, but technically, right? They released it. Privacy advocates are like, you can't release this, and then it got pulled and back and forth, right? Uh now I think you probably have a much better version of this in the new update that OpenAI just dropped called Computer History. So we had talked about Chronicle before. So this is just an extension or Chronicle made better. Let me break it down in simple terms. So OpenAI just released computer history. This is a new feature that watches your activity across apps and websites on your Mac. It is Mac only right now. Sorry, Windows and Linux. Uh, and yes, uh, OpenAI did this week uh release chat GPT workslash codex for Linux as well. But this um essentially watches all your activity across apps and websites on your Mac and turns it into memories in a timeline that ChatGPT and Codecs can use. So you can literally scroll through every single thing that you've done on the new Chat GPT slash codex uh desktop app, and you can ask things like, what was I working on before my break? Or where's that proposal doc from this morning, or summarize yesterday for stand up, right? Anything that you work on inside of Codex or ChatGPT work, which for me is quite literally everything, it can notice repeated workflows, right? So it can find things that you started and didn't stop, and then it can finish it itself. That is wild. So it can not only finish work that you were doing and just forgot, or you know, maybe you ran into a roadblock, got busy, whatever. So this new computer history can not only finish those tasks that you started and just stopped or abandoned, but it can actually suggest skills as you go along, which for me, I talked about this uh on the show the other day in my uh the next 12 months of AI. Uh so make sure you go check that out. That was uh yesterday's show. So Thursday's show, uh, went over the 19 predictions every business leader needs to hear. And one of the things I said was, you know, lines of code is not an important metric. Uh tokens burned is not an important metric. One of the most important metrics, I think, for the rest of 2026 and early 2027 is how many times you are reusing skills, right? Because you are saving not only a ton of time and sharing those across your team, uh, but also you're saving tokens technically, because you are only running the most optimized version of a workflow inside of your AI operating system that you know is going to bring a certain level of output or results. So now, with this new computer history enabled, uh, it is going to complete things for you, which my gosh, I need because normally I have like, you know, eight to 20 different uh, you know, codecs threads going at once, and I forget these things a lot. Uh, but then also to suggest skills. This is really cool. So it essentially allows ChatGPT to observe and learn your activity on your computer, helping it understand your workflow, complete ongoing tasks that you might have forgotten, and then recommend those skills and automations tailored to how you use your device. So, who has this right now? Any paid um business plan has it right now, as well as ChatGPT Pro. Uh, so you have to go into the Chat GPT desktop app. It is Mac only and it is off by default. So you have to turn it on. And if you are using this across your team, every person has to turn it on themselves. And obviously, this is not yet available in the EU, UK, or Switzerland. So, all of those, you know, uh strict privacy first companies, you're not gonna have it. So, who's gonna find this useful? Well, this is the AI that finally knows what you did yesterday, not just what you typed into a chat box, right? So the context switching and like the where was I moments, I think are some of the biggest silent time wasters right now in knowledge work. Uh so a real example, you know, at the end of the day, asking for a summary of everything you worked on, or start the morning by asking ChatGPT to pick up where you stopped, or you know, looking at the skills that it suggested based on all the work that you did yesterday. So if you're just juggling a ton of different projects like me, if you're losing time, if you're a heavy AI user, you're really gonna like that. Uh, it is a little uh you know, so this computer history builds on the Chronicle research preview uh with reduced token usage and more privacy control. So, like I said, this is fresh. I haven't even used it yet, uh, because it literally I had so many uh codex threads running, I didn't want to, you know, download the update uh just yet. Uh so you know, Chronicle did take a little bit of space on your hard drive. So, but this specifically the computer history is the next iteration of that. And they did say it is a little faster in reduced token usage. All right, so that is a wrap for the seven AI updates that you should use today, y'all. If you're not paying attention every single day, that's why this Friday show is extremely useful. All right, and a reminder, y'all. The live stream and the newsletter are taking a little break. Quick announcement it is time to go back to school. So uh we're gonna be doing some learning together on everyday AI. So our start here series that we kicked off this year has been some of our most popular shows ever. Uh and we've gotten a lot of comments of people like, hey, uh, you should just run these all. So that's what we're gonna do. We're gonna be running back the entire series, 30 episodes, 30 days. Commit to this. So we're gonna be running that series back starting on Monday, starting with the very first episode. So, yeah, a little break from our normal Monday to Friday schedule. But I guarantee if you stick with this series from volume one through volume 30 and put the work in, you'll know more about AI than like 99% of the people at your company. So it's made for beginners and advanced users alike. No jargon, no fluff, no computer science degree required. Class starts Monday. Don't be late. All right, that's a wrap. Make sure if you haven't already, go to your everydayai.com. Thanks for tuning in. We'll see you back next time for more everyday AI. Thanks, y'all.