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Accelerating Business with This Week’s Top AI Feature Updates
Recent advancements in artificial intelligence are driving new operational efficiencies for organizations that recognize and rapidly incorporate these capabilities. The latest episode of Everyday AI spotlighted concrete developments across leading platforms that directly impact the business environment, from cost reductions and speed gains to workflow automation and enhanced data integration. Below is a breakdown of these critical updates and their immediate business implications.
Model Price Reductions and Speed Increases: AI Cost Efficiency
This week has seen significant cost and speed improvements across major AI models. Google’s release of Gemini 3.7 Flash cuts API pricing by 50% compared to its version from just three weeks prior, offering a combination of improved intelligence, faster response times, and reduced operational expenses 00:28. Specifically, Gemini 3.7 Flash is now priced at 75¢ per million input tokens and $3.75 per million output tokens 06:06, returning Google’s Flash series to its original promise of delivering high performance at minimal cost.
Organizations leveraging AI through APIs stand to benefit most, as sudden cost reductions like this unlock previously unviable use cases and support higher-volume deployments without linear cost increases 00:52. Rapid iteration and deployment of AI-powered operational systems are now sizably more accessible for budget-sensitive departments.
AI Model Benchmarks: Performance Competitiveness
A new tier of open-weight models is also emerging. The latest GLM 5.3 from ZAI, released this week, improves on its predecessor exclusively through post-training enhancements rather than architectural changes 09:38. On critical cybersecurity benchmarks such as CyberGym, GLM 5.3 has outperformed both Anthropic’s Fable 5 and OpenAI’s GPT-5.6-SoL, detecting vulnerabilities even in production software like Linux and Apple’s WebKit 10:03.
For businesses in sectors where code security is paramount, this increase in detection accuracy and coverage—achieved without a corresponding hike in computational requirements—translates to enhanced risk mitigation at no additional cost.
Automation in Productivity Software: AI-Powered Google Sheets Dashboards
New AI features are directly surfacing within mainstream productivity tools. Google’s Canvas mode, now embedded inside Sheets for paid Gemini users, allows any spreadsheet to transform into a live, interactive dashboard 18:51. This advancement radically streamlines dashboard creation: one simply instructs the tool in plain language, and it builds a fully interactive board, eliminating previous dependencies on separate BI software or complex formulas 20:07.
Data in these dashboards automatically updates in real time as underlying sheet data changes, especially valuable when Sheets serves as the central hub connecting multiple business applications 20:52. The operational continuity enabled by this integration significantly cuts manual reporting time and reduces risk of outdated information.
Browser-Based Task Automation: Claude and ChatGPT in the Workplace
The capacity for AI agents to perform direct actions within the browser—across otherwise disconnected tools—has expanded. Claude’s new Chrome side panel integration now allows cross-platform continuity, meaning tasks started within Chrome can continue seamlessly on the desktop app 21:51. Claude gains the ability to “see” and interact with any open web application, filling a critical gap for workflows that rely on platforms with no native AI integration 23:10.
Similarly, ChatGPT has introduced a "computer history" feature for Mac desktop users, recording activity across all apps and websites in an actionable timeline 29:33. The system not only surfaces previous documents and helps resume paused workflows but also learns recurring work patterns. It offers proactive completions for abandoned tasks and suggests automations tailored to frequent business processes 32:02. This directly addresses operational slowdowns caused by context-switching and forgotten work, a persistent productivity bottleneck in knowledge-heavy industries.
Ultra-Fast Frontier Models for Enterprise APIs
A hallmark development is OpenAI’s launch of “Ultra Fast,” a new speed tier for the flagship GPT-5.6-SoL through a partnership with Cerebras. This enhancement increases text generation speeds up to 750 tokens per second, achieving up to 14x faster output than previous modes—all without sacrificing intelligence or capability 25:26.
This tier is of particular operational importance for large organizations deploying multi-step or customer-facing AI agents, where every additional second of processing time can compound across workflows 28:18. By removing the speed-accuracy tradeoff, teams can now achieve both top-tier performance and the responsiveness critical to live systems.
Key Takeaways for AI Adoption in Business
Major AI platform providers are now iterating and releasing improved models in weeks, rather than months, meaning early adopters can continually capture cost savings and performance boosts 00:41.
Security and code quality gains in emerging open-weight models make them viable for companies with high compliance demands, offering enterprise-grade outputs without proprietary lock-in 11:02.
Workflow automation embedded in core business productivity suites like Google Sheets is eliminating legacy barriers between analytical data and actionable dashboards 19:02.
Advanced browser extensions from Claude and ChatGPT enable direct automation on platforms that lack API-based integrations, greatly broadening the spectrum of automatable business processes 22:10.
Ultra-fast text generation and computer activity recording address long-standing process delays, enabling real-time AI-driven decision-making and personal workflow management for busy professionals 25:26 29:33.
AI-driven business process excellence is increasingly defined by the ability to quickly identify, evaluate, and integrate these highly specific updates. For organizations watching the cost, speed, and integration landscape, each of these features represents a clear-cut unlock for next-step efficiency and innovation.
Topics Covered in This Episode:
- Gemini 3.7 Flash Price and Speed Drop
- Gemini Spark Coding Agent Improvements
- GLM 5.3 Coding Model Cybersecurity Benchmark
- GLM 5.3 Open Weights Release Timeline
- Grok 4.6 Model vs GPT-5.6 Performance
- Grok 4.6 in Cursor and Developer Access
- Google Sheets Canvas Interactive Dashboard Feature
- Claude CoWork Chrome Browser Integration
- Claude CoWork Sync and Web Automation
- ChatGPT Ultra Fast API Speed Tier Launch
- ChatGPT Cerebras Chip Partnership Details
- ChatGPT & Codex Computer History for Mac
- Computer History Workflow Completion Automation
Episode Transcript
Jordan Wilson [00:00:17]:
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 And that was just the model news.
Jordan Wilson [00:01:13]:
I mean, Claude started working inside your browser tabs. Your spreadsheets can now turn themselves into live dashboards, and chat GPT 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. Alright. Let's get into it. Welcome to everyday AI.
Jordan Wilson [00:01:46]:
If you're new here, my name is Jordan Wilson, and we do this every day. It's a daily unedited, unscripted livestream podcast and free daily newsletter helping business leaders like you and me not just keep up with everything that's happening, but I'd 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, woah. 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, youreverydayai.com. So if you didn't know, 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.
Jordan Wilson [00:02:25]:
So, 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 print. And you're gonna know how Claude can now do real work inside your browser tabs, login, and all. Alright. So let's take a look. Actually, livestream, Adi, it's having shouted you out in a bit.
Jordan Wilson [00:02:58]:
Big bogey face. Good to see you. Brent joining us from London. Brian from Minnesota. Jose joining us from Santiago. Mico joining us from Tokyo. We're we're all over the place this morning. Love to see it.
Jordan Wilson [00:03:12]:
Michelle, good to good to see you join us. Alright. 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, 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, alright. There's already new things. You know? Some things had to get the cut.
Jordan Wilson [00:03:33]:
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, what let me just read these before we get into the ones we're actually gonna cover. I mean, the Microsoft Copilot started unifying its Copilot offerings into the super app. So that's actually happening. Wasn't even the top seven thing. 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. Google Gemini released 13 new connectors, and Google also released a slew of new AI features for Google Ads and Google Analytics.
Jordan Wilson [00:04:06]:
So let's get into the ones that we're actually gonna 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, 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, let's see what's new.
Jordan Wilson [00:04:49]:
Google released Gemini 3.7 Flash. It's new AI model that it calls the most intelligent workhorse model, 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, 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, the, kind of agentic offering for Google, which is available in Gemini. I know that's a little confusing. 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.
Jordan Wilson [00:05:36]:
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 could access Google's, AI. It's like you need a road map sometimes. Alright. But here's the key thing. API pricing is 75¢ per million input tokens and $3.75 per million output tokens. Alright.
Jordan Wilson [00:06:06]:
So let's read just quick, 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. Alright. 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 in algo, algorithmic, 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, 3.6 flash cost per million token. So if you recall, when Gemini 3.6 flash came out, I said, I don't understand this model, because the whole point of the flash series all along from Google has been to be extremely fast and extremely cheap.
Jordan Wilson [00:07:05]:
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, alright. This is, you know, not, like, free, but this is a very low cost model that you can put out at scale. So, 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, 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, API side.
Jordan Wilson [00:07:44]:
But the real thing is inside Google Gemini Spark. So if you haven't used Spark, that's kind of their, 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, you 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 code work for so long. And I'm like, yeah.
Jordan Wilson [00:08:14]:
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, this is might be your new workhorse model. Right? People don't really understand from a serving tokens perspective. 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, right, Google has been a leader and will continue to Alright. So oh, Steven Leets says, he's been waiting for this one.
Jordan Wilson [00:08:57]:
Alright. Hopefully, you enjoy, Gemini 3.7 Flash. Alright. Let's get into our next one. And this is the one that just came out, like, kind of, like, an out couple hours ago. So, yeah, we may have a new king of the open source hill. Yeah. We 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.
Jordan Wilson [00:09:24]:
That's because we have a new version of z a i's g l m five three. So a new model it's calling its best yet for coding and the strongest open weights coding models that it has measured. So, 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, very normal. But the big surprise here in the big jump, at least according to z AI's benchmarks, like I said, it's too fresh to have any third party, 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.
Jordan Wilson [00:10:17]:
Yeah. Ones that have already, you you know, according to z AI, withstood, you you know, the fable in the g p d five six, you you know, vulnerabilities that everyone has found. The thing that's interesting here, you know, so for our livestream audience, I have, kind of their blog post announcement up on my screen. You can always watch the video version of our podcast on, youreverydayai.com as well as you can go catch that link in the show notes. But the interesting thing was yeah. Some of these benches. Right? I mean, they're they're definitely, they're definitely competing with the closed source proprietary model, specifically, you know, Fable five from Anthropic and g b d five six Sol. So the one that really stood out is CyberGym.
Jordan Wilson [00:11:02]:
Alright? So this is kind of, a metric on the cybersecurity side, which is very important. I talked about that, you know, this week. Was that this week that I had my, yeah, my my rogue AI agent show. It's all blending together now. But, you know, let's go back to when Anthropic teased, its mythos and fable models, and then they sat on it, didn't release it for, like, three months. The main, the main benchmark that it led with was Cyber Gym. Alright? And right now, you know, it is a pretty important, benchmark, you know, Cyber Gym and Exploit Gym. But for CyberJIM, this new open model is the best in the world.
Jordan Wilson [00:11:42]:
Right? Which is crazy. Right? Yeah. An open, an open model, that is the best. So it scored an 84.5 on CyberJIM, ahead of the other two models, that were kind of tied there for first place previously, which is Fable five and g b d five six sold. So a little bit more about GLM five three and who has Well, it's available to everyone now. So if you are on z a i'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, you use codex and you're like, oh, I wanna try this new g l one five two. You can try z code, and it's pretty much the same thing as codex.
Jordan Wilson [00:12:28]:
But it's been rolled out to all, subscribers. So the open weights are not out yet. Alright. So z AI says it will release them in about two weeks after further safety testing. So calling it open source today is a little premature. It will be open weights, and, we at least know that GLM, sorry, z AI has a positive track record of doing this. This is what happened with GLM five two. This is what happened with Kimmy k three, with Quinn, you know, three eight, all the Chinese open models they've released, and then they usually will release the weights, you know, in about two weeks.
Jordan Wilson [00:13:02]:
So, technically, the weights are not available today if your super dork can care about those things, but they will be available soon. So why is this useful? 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, the company said on its own test, it's roughly 50% better at coding than the last version, which is crazy. And if you recall back a couple of months when GL m five two was released, this was kinda the first open model that people started to look at and say, wait. Has China kind of closed the gap on US, frontier proprietary closed models? And it was like, kind of. Right? 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.
Jordan Wilson [00:14:02]:
So GLM, QMEK three, and QEN 3.8 are probably in that one b tier, with, you know, INPROPICS, OPUS five, and Fable five along with, OpenAI's g, GPD 5.6 Soul are kind of still in that one a tier by themselves. So, 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. Alright.
Jordan Wilson [00:14:35]:
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. In this one, I was kind of surprised with. Roc 4.6 is actually a pretty good model. Right? It's probably joined that one that, you know, one b, tier, you know, all of a sudden, it is a top contender. So let's talk about what's new, in the model. So SpaceX AI, yes, formerly XAI.
Jordan Wilson [00:15:05]:
They just jammed all the names together, but the real name is SpaceX AI, released GRAC 4.6, its newest top tier AI model built for coding and long running automated tasks. So, on a widely watched independent scorecard that is, in a lot of the benchmarks that artificial analysis covers, it now ties OpenAI's g p d 5.6 soul in a lot of important benchmarks and jumped five points over the previous Grock. So, yeah, on artificial, analysis index, it is right there neck and neck with the g p d 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. Cursor, obviously, space x AI, acquired cursor. 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 Claude code competitor.
Jordan Wilson [00:16:11]:
So why is it useful? Well, the price didn't change from the last version of GROC. So anyone using GROC 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, because the jump from GROC 4.5 to 4.6 was huge. Right? 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. I'm kind of surprised maybe that SpaceX AI isn't just going with the cursor brand name and going with, you know, composer three 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, you know, Grok has, 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.
Jordan Wilson [00:17:07]:
They're like, oh, this is the one that's, you know, been doing some, you know, wild things on the Internet. So we'll see if now, you you know, GRAC 4.6 kind of teetering between that one b and one a tier changes that. But here is what the company says and said in its release. It said today, we are releasing GRAC 4.6. GRAC 4.6 builds on GRAC 4.5 with a particularly, 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. 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 based plan.
Jordan Wilson [00:18:07]:
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 GrokBot for now, but GrokBot is powered by Grok 4.6. So pretty big, pretty big week of releases from the SpaceX slash Grok slash Cursor teams. Alright. Let's move on to our next one. And this one, I don't know. I'm I'm a Google Sheets dork. So maybe I'm more excited about this one than the average person, but, yeah. Canvas mode, one of my favorite modes of all time, from Google Gemini is coming, and it's here inside of Google Sheets.
Jordan Wilson [00:18:51]:
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, 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, or connect it inside, you know, codex, cloud 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. 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? Any paid subscribers for Google Gemini, you have access to it.
Jordan Wilson [00:19:46]:
It is literally just inside of the right panel. So just go click that, that Gemini, button inside Google Sheets. In plain language, they turn this into an app that does a, b, and c, and it's done for you. Also, now if you have a, Gemini work or school account, it's also available. Alright. So why is this useful? Well, building a decent dashboard and sheets used to mean, a lot. Right? So, if you're just looking at building, you know, graphs and charts, yeah, you have to kind of, know the formulas or some formatting hacks, or use a separate business intelligence tool. Now you just type build me a sales pipeline board and it builds one.
Jordan Wilson [00:20:27]:
Alright. So the spreadsheet sheet though stay, 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 a Mailchimp list or if you have a, 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.
Jordan Wilson [00:21:07]:
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, chat g p t sites or the, live artifacts feature inside of Claude, code. Alright. Speaking of Claude, alright. They took a page out of the codex book and, essentially, the very good, chat g b t, 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, let's actually start, with what Anthropic says. It says the Claude in 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 cloud desktop, web, and mobile apps.
Jordan Wilson [00:22:01]:
It's available on Macs and team plans today and is rolling out to pro users over the coming weeks. Alright. So here's, kind of the the gist. So, essentially, a task that you start in a Chrome tab can now be picked up and finished in the Claude desktop if you're using Claude cowork. So it is a cowork to cowork sync, as far as my tests show, yet 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, which is, unfortunate.
Jordan Wilson [00:22:40]:
So the, the Claude, Chrome extension here that works with Claude Cowork is just with Claude Cowork. So the exact same functionality has been out for about a month now, with the chat g p t sidebar, and then that one is unified and it works whether you're using the chat panel or the work panel. 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, 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, you know, fun updated AI connections.
Jordan Wilson [00:23:33]:
So now, you know, Claude Cowork, just go around, click around, and use, 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 clogged user, and you still have to use the Internet a lot. Right? That's the big thing. I always say, first, always check, directly integrated connectors or integrations. Second, see if whatever app that you're using has an MCP or model context protocol that's supported in Cloud, Gemini, ChatGPT, Microsoft Copilot, etcetera. And if it doesn't have one of those two things, that's where something like this new, Cloud in Chrome, Claude CoWork extension really comes in handy because for all of 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 inter, to understand and use the interface. So, yeah, I think anyone is gonna like this if you had those, you know, annoying tools, you know, that you're like, oh, man. You know, this this app that I use, that's a big part of my job.
Jordan Wilson [00:24:41]:
There's no AI integration. Well, now, at least Claude Cowork, in Chrome can use it. Alright. 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, of waiting. And if you are a heavy API user, if your company is using the new g p d five six soul via the API, this one could be a legit game changer.
Jordan Wilson [00:25:12]:
This is the first of its kind across any model, literally in the history of AI that you can run a frontier AI model at legit blazing speeds. Alright. So let's talk about what's new. So OpenAI announced ultra fast, its new speed tier that runs its most capable model, g b d five six, sold at up to 14 times faster than normal. So how the heck is this possible? Well, it is a specific, partnership with the now public company, the chipmaker Cerebras, and it generates up to 750 tokens per second with OpenAI and Cerebras 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, this one is a little more select, but I think for OpenAI API customers, it's a lot of our listeners. That's why I still included this this one. So it is in limited preview, but this is y'all.
Jordan Wilson [00:26:14]:
Especially for our larger enterprises, this has been one of the most looking, the most highly anticipated features that I've seen in a while. Right? People have been talking about this for many months. So, essentially, OpenAI did have a Cerebras model before, but it was an older model. It was g b t 5.3 codex. So it was a codex specific model, and it was an older model. I literally just used this, like, yesterday still. So it's still a really good model, but it's older. But it's so blazing fast.
Jordan Wilson [00:26:48]:
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, use a Cerebras 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, Gemini 3.7 Flash.
Jordan Wilson [00:27:37]:
So this is that speed, I think, technically, a little faster. We'll have to wait. This has only been out for, you know, less than twenty four hours now, so we'll have to see the third party, 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, with this. But, you know, speed just matters for business. So, like, as an example, if you are using this to power your agents, you know, a 40 step task as an example, it's gonna pay that speed tax on every single step.
Jordan Wilson [00:28:18]:
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, teams, you know, teams that are running, long multi step AI agents are gonna find this, extremely valuable as well. Alright. Let's go to, our last one here. This one, another kind of niche one, but is super, super exciting for me.
Jordan Wilson [00:29:08]:
Alright. So if you remember, like, a year and a half ago, Microsoft had its recall product that was kind of recalled. Right? Not really, but technically, right, they released it. Privacy advocates are like, you can't release this, and then it got pulled back and forth. Right? 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.
Jordan Wilson [00:29:43]:
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. And, yes, OpenAI did this week, release chat g p t work slash codex for Linux as well. But this, essentially watches all your activity across apps and websites on your Mac and turns it into memories in a timeline that chat g p t and codex can use. So you can literally scroll through every single thing that you've done on the new chat g p t slash codex, desktop app, and you can ask things like, what was I working on my 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 codecs or chat g p t work, which for me is quite literally everything, it can notice repeated workflows.
Jordan Wilson [00:30:33]:
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 cannot 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 cannot 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, on the show the other day in my, the next twelve months of AI. So make sure you go check that out. That was, yesterday's show. So Thursday's show, 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.
Jordan Wilson [00:31:18]:
Tokens burned is not an important metric. One of the most important metrics, I think, for the rest of 2026 and early twenty twenty seven 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, 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 gonna bring a certain level of output or results. So now with this new computer history enabled, it is going to complete things for you, which my gosh, I need because normally I have, like, you know, eight to 20 different, you know, codecs threads going at once, and I forget these things a lot. But then also to suggest skills. This is really cool. So it essentially allows ChatViti 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, business plan has it right now as well as ChattGPT Pro.
Jordan Wilson [00:32:22]:
So you have to go into the ChatGPT 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, 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 checkbox. 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.
Jordan Wilson [00:32:59]:
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. It is a little, you you know, so this computer history builds on the Chronicle Research preview, with reduced token usage and more privacy control. So like I said, this is fresh. I haven't even used it yet, because literally, I had so many, codex threads running. I didn't wanna, you know, download the update, just yet. 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.
Jordan Wilson [00:33:56]:
Alright. 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. Alright. 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, 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.
Jordan Wilson [00:34:29]:
And we've gotten a lot of comments of people like, hey. 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, thirty 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 a 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.
Jordan Wilson [00:35:04]:
No jargon, no fluff, no computer science degree required. Class starts Monday. Don't be late. Alright. That's a wrap. Make sure if you haven't already, go to youreverydayai.com. Thanks for tuning in. We'll see you back next time for more everyday AI.
Jordan Wilson [00:35:19]:
Thanks y'all.