Source: Logitech.

Today, Logitech introduced the MX Keypad. If it looks familiar, that’s because it’s one-half of Logitech’s existing MX Creative Console. However, instead of bundling a 3 x 3 keypad with a dialpad, the MX Keypad is just the keypad for $99.

I reviewed the MX Creative Console in 2024, and I still use it and write about ways to automate tasks with it. It’s an excellent pair of devices, so it’s not surprising that Logitech has adapted the keypad to a new use case.

Keypad, cable, and kickstand. Source: Logitech.

The MX Keypad’s hardware is identical to the keypad from the Creative Console. In addition to the keypad itself, it comes with a kickstand you can use to prop it up at an angle and connects via USB-C to your Mac. My MX Creative Console review has more detail about the hardware, along with images and a short video.

I like the MX Creative Console a lot, and according to Logitech, so did software developers looking for ways to automate their AI workflows. While Logitech didn’t expressly say why it dropped the dialpad for the MX Keypad, it makes sense to me having used the MX Creative Console for months. Dialpads are great for timeline-based creative work, but less so for development work. Yes, developers might want to use the dialpad to control screen brightness or volume, but by limiting the MX Keypad to just the keypad, Logitech was able to hit a lower price point, making the device more appealing to a bigger audience.

I’ve been impressed by the number of ways Logitech has opened its devices up to automators who like to tinker, too. Similar to devices like the Stream Deck, Logi Options+ lets you build Smart Actions based on keyboard shortcuts and macros. But there’s more than that. If you’d prefer to let someone else do the automation, Logitech runs a Smart Actions marketplace with plugins tailored to certain apps. For developers there’s also a Logi Actions API for building plugins with access to each Logitech device’s full capabilities.

Source: Logitech.

From a developer standpoint, the combination of automation options means the MX Keypad opens up a variety of possibilities like:

• launching agents,
• monitoring agent activity via the device’s dynamically updated keys,
• triggering saved prompts,
• activating voice input, and
• automating many other repetitive tasks.

Logitech is also teaming up with GitHub Copilot as part of the MX Keypad launch, similar to the partnership that was announced with Adobe as part of the MX Creative Console. There’s a Copilot plugin available that adds Copilot controls to the keypad’s keys. Logitech customers can also take advantage of GitHub’s offer for three months of GitHub Copilot Pro+ for free.

Logitech’s MX Keypad is primarily a repackaging of an existing device with a GitHub Copilot deal thrown in to make it a better value. But it’s good to see the company addressing the developer market more directly. Having used the MX Creative Console primarily for automation and development-type work myself, dropping the dialpad from the package to lower the price is a good tradeoff. I use the dial and its other buttons occasionally, but for automation, the keypad is where it’s at, and between Smart Actions and a full plugin SDK you can point your agent at, the MX Keypad is a great choice for automators.

The Logitech MX Keypad is available directly from Logitech and from Amazon.

Designed in California, the Apple history podcast from Myke Hurley and Jason Snell, is now live on Relay with two new free episodes, plus more for Kickstarter backers and Relay subscribers.

Over the summer, Myke and Jason ran a successful Kickstarter campaign for the new show, which will be released as topical series. The first series about the Apple II was released over the summer as part of a preview for the Kickstarter campaign.

Now, the first two episodes of Apple’s Mac OS Crisis are out and available to listen to for free. Those episodes will be followed by five more weekly installments. However, if you backed the Kickstarter or if sign up to support the show via Relay’s website, you get all seven episodes of the series immediately.

The latest series is about:

Apple’s Mac OS crisis in the ’90s, leading to the company acquiring NeXT and bringing Steve Jobs back.

Apple’s Mac OS Crisis also features special guest John Siracusa, who knows a thing or two about ’90s Apple. In addition to the audio-only version of Designed in California, the show is available on YouTube.

It’s been great to see this show come together over the summer. I know it’s been a lot of work, which is clear from the depth and quality of the episodes. I fully expect Designed in California to become the definitive podcast for Apple history nerds.

Source: Perplexity.

Perplexity has announced hybrid compute for Personal Computer on Apple silicon Macs. Personal Computer already combined cloud-based Computer tasks with access to local files and apps, but its AI processing was primarily cloud-based. Recently, Perplexity also introduced Portable Computer, a local-first version of Computer that can escalate work to the cloud with a user’s permission.

Hybrid compute approaches the problem from a different direction. Tasks start in the cloud but if a new local classifier detects potentially sensitive information, the user is alerted and asked whether they want to route it to a local model, although users also have the option to let the flagged data be used by a frontier cloud-based model. Gemma E4B, Qwen3.6 35B-A3B, and a Perplexity post-trained version of Qwen3.6 35B are available at launch for that local work, with more models to come in the future.

Tasks that don’t require sensitive information are handled in the cloud by frontier models that also orchestrate the cloud and local tasks. Users select the cloud orchestrator and Perplexity chooses the helper frontier models used.

Another key feature is that hybrid compute works with tasks begun from an iPhone or iPad, too. Those devices could already kick off a session, but now they can also run tasks that use sensitive information locally if your Mac is turned on and running Perplexity.

Yesterday, I got a demo of the feature that walked through three scenarios:

• an attorney researching a legal brief, with sensitive client data on their Mac, allowing them to update it locally,
• an analyst using web-based data to update a confidential slide deck for a presentation about a company’s financials, and
• a small business owner kicking off pricing research from her iPhone that was combined with private pricing data for her business that never left her Mac.

I haven’t tried hybrid compute myself yet, but if it works as advertised, it’s a big step forward for Perplexity, and one that a lot of its competitors are also chasing. AI agents are only as good as the tools and data to which they have access. Tool calling has been a big focus over the last year and more, but data privacy is an equally important issue that needs to be solved before more companies, especially those in regulated industries, adopt agentic tools like Personal Computer. It’s good to see Perplexity tackling this head-on.

Myke Hurley writing on The Enthusiast covers three themes from John Ternus’ new CEO bio that was updated today on the Apple Leadership page:

Number 2:

John has led much of the company’s focus in areas like reliability and durability, introducing new techniques that have made Apple products remarkably resilient

I would not have predicted this angle being so prominent, so I can only assume it’s something that’s important to Ternus. Ultimately, it’s good for customers too — you want your computers to last. Apple has also made inroads into the repairability of its products, which I feel goes hand in hand with this.

Of the three, this is the most interesting to me. I wouldn’t have expected durability to be so prominent either, but in addition to Apple’s repairability push in recent years that Myke highlights, I think this is Apple telegraphing something about the future of its products.

In a world where memory and storage prices have skyrocketed and show no signs of coming down to Earth anytime soon, durability becomes a differentiator that’s more important than ever. When you combine that with the system-level stability and performance efforts Apple has made across its OSes this year, I expect we’ll be hearing a lot more about the long-term value of Apple’s devices this fall.

On today’s episode of AppStories, Federico and I interview Andrew Ambrosino, the project lead for Codex. It’s a great conversation that covers a lot of ground, including:

• the long history and many iterations of Codex,
• the merging of Codex into a new version of ChatGPT based on web technologies,
• Computer Use and Computer History, which came along with OpenAI’s acquisition of Sky last year, and
• what goes into designing for user trust.

Then for AppStories+ subscribers, we dug into Andrew’s Mac origin story and some of his favorite Mac apps.

AppStories is available on Apple Podcasts and all your favorite podcast players, as well as YouTube. AppStories+ is a special ad-free, extended version of AppStories that’s delivered a day early in high-bitrate audio for $5/month or $50/year by itself or as part of a Club MacStories Premier membership that adds our weekly and monthly newsletters, app discounts, and other perks for $12/month or $120/year.

Parker Ortolani on the Pebble Index, the recently released AI smart ring:

Ambient computing is here at home on speakers and in the workplace with apps like Wispr Flow, it’s only a matter of time before we carry it with us everywhere.

The Pebble Index is the best preview of that future. The simple gesture of pressing your thumb to your index finger is unbelievably natural. Especially for quick interactions. I’ve found myself setting more reminders, recording ideas, and keeping lists up-to-date. And I know that everything is being logged on my phone in the Pebble app. Better yet, you can connect the Pebble Index to your other AI tools using MCP. There’s also no reason for skeptics to fret, it’s not always listening for hot words or logging everything it hears.

As Ortolani explains, the device ticks a lot of boxes that other AI gadgets just don’t:

The thing that I think strikes me hardest with the Index is that it’s just so socially inoffensive. It’s a form factor people already love, it’s not distracting, it’s not always listening, and it’s affordable. It could be the first truly noncontroversial AI-first hardware.

I ordered a Pebble Index months ago and it should be coming within the next week or so. I bought it for many of the features Ortolani mentions. It’s on-demand, discreet, and a form factor that doesn’t look out of place. The hardware and software matter a lot with a device like this, but if Pebble has nailed it, I can see it becoming my go-to way to jot down brief notes. I’m excited to give it a try and report back.

Last night, I sat down with my Vision Pro and caught the first part of the Yankees–Red Sox game live in Immersive Video. I wouldn’t call myself a baseball fan these days, but I have fond memories of many summer evenings at Tiger Stadium and Wrigley Field, and I was keen to see how Apple’s immersive broadcast compared.

Having sampled Apple’s other Immersive Video content, but very little of its sports coverage, I wasn’t sure what to expect. Sitting down to watch, I was surprised by how much it felt like I was at Yankee Stadium. Before the first pitch was thrown, the broadcast focused on the Yankees’ starting pitcher as he warmed up. Periodically, the camera angle switched, giving viewers other angles on the pre-game preparations, while the announcers chatted about each team’s season leading up to the game.

Once the game started, the camera switched to positions near each team’s batting circle depending on which team was at bat, occasionally switching to shots behind home plate and in right-center field. During each at bat, a virtual scoreboard showed a 2D feed of the game like you’d see on a regular broadcast bounded by statistics. The additional angle and information were useful for fans, but as someone who was there primarily for the experience, it took away from the immersiveness a little to see a fake scoreboard floating in the sky over the stadium’s right field wall.

That said, the immersiveness was impressive. I found myself looking all around the stadium taking in the sights and spatial audio sounds. The detail was incredible. Fully surrounded by the stadium, I watched as a family walked by with popcorn and drinks and could even read the Poland Spring label on a water bottle in the bullpen.

Then, as I watched the Yankees at bat, I could see someone off camera spitting sunflower seeds in the dirt along the dugout. That sort of minute detail added to the immersiveness of the experience every bit as much as being surrounded by the video feed and soundscape, to the point that when a player entered my view from off camera, I instinctively tucked my legs under me to avoid him tripping over me.

At times, though, I also felt a little too close to the action. It was like I had slipped into a restricted area, an invisible participant, spying on unsuspecting people on the field, waiting for security to discover me and kick me out of the stadium. That feeling was probably driven by the combination of knowing that the broadcast was live and not having watched a lot of Apple immersive sports content, but it was still a little unsettling at first.

As for the game, I didn’t pay very close attention. I don’t follow either team, but it was still fun to watch the game unfold from up close. The dugout camera angles made it slightly harder to see the pitches as they were thrown than it would be from a more traditional outfield camera viewpoint, but it really didn’t take away from the experience.

Ultimately, I only lasted about a half hour. The experience was excellent, but baseball’s pace is just too slow for my taste, so ultimately, I packed up my Vision Pro and caught up on Silo instead.

If you missed the game, it’s available to replay in full along with highlights in the TV app on Vision Pro.

Throughout 2026, Federico and I have been working on a series of software projects and apps with the help of tools like Codex and Claude Code. Some of those are internal tools, but others are the sort of productivity apps from which anyone can benefit. It’s taken a while because we’re picky (and careful), but the time has come to start releasing the apps we’ve been working on.

Federico actually kicked things off earlier this year with RemCTL, an open-source command-line tool that makes every feature of Apple’s Reminders app available from a terminal. That makes it easy to integrate with automation workflows and agents. I’ve been using RemCTL since before it launched publicly, and it’s now deeply embedded in my everyday Codex workflow.

NotesCTL is perfect for complex research reports generated by agents.

Today, Federico released a Club MacStories+ and Premier preview of NotesCTL, a command-line tool for Apple’s Notes app that is available in the Club Discord community and on the Club Downloads page. Over the past couple of months, he’s reverse-engineered every aspect of how Notes works from the ground up. The result is a command-line tool for power-users that exposes every Notes feature for use with scripts, Shortcuts, and, of course, agents, including:

• tags,
• subfolders,
• pinning,
• rich links,
• attachments,
• checklists,
• headings,
• tables,
• audio recordings, and
• highlights.

NotesCTL’s Markdown Exporter.

With the help of an agent, NotesCTL is great for assembling deep research reports. And with its PencilKit support, you can turn SVGs into native drawings that you can edit and color with an Apple Pencil. It’s great for simple mockups and coloring pages for kids. NotesCTL can also transcribe audio recordings from the Notes app and then search the results. Plus, writers will appreciate the app’s Markdown Exporter.

NotesCTL can even create coloring pages for your kids to fill in with the Apple Pencil.

NotesCTL is nearly ready for public release, but if you don’t want to wait, you can access it today by joining Club MacStories+ or Premier. NotesCTL is the first software project that we’ll be releasing as a beta preview exclusively for Club members, but it won’t be the last. Software never seems ready to ship until, suddenly, it is, and we’ve been working on multiple parallel projects all year that are coming together nicely and will also be released early to Club MacStories+ and Premier members.

We’re excited to share everything we’ve been working on at MacStories for the past several months. NotesCTL is the perfect place to start, especially after RemCTL. Apple’s system apps are excellent, but for power users, they can sometimes feel limiting. Federico’s growing collection of CLIs is MacStories’ answer to those frustrations, one that lets power users enjoy the day-to-day elegance of Apple’s system apps, while extending the apps’ utility when you need it.

NotesCTL is currently available in the MacStories Software section of Discord and on the Club Downloads page where you’ll find it listed under “(2026) NotesCTL Beta Preview” for Club MacStories+ and Premier members and will be released publicly later this fall as an open-source project.

Today, Relay kicked off its annual fundraiser for St. Jude Children’s Research Hospital to help combat childhood cancer. In the seven years since the fundraiser began, Relay and its dedicated community of listeners have raised over $4.8 million; a truly amazing figure.

We’d love it if readers joined us in supporting this cause again this year. You can make a donation by visiting here.

The Podcastathon is a big part of the annual fundraiser as Myke Hurley explains on The Enthusiast:

Every year, the Podcastathon for St. Jude is a huge part of our fundraising mission, and we’ve decided that this year we want to turn it into a full-on celebration by having the 12-hour event close out our campaign. So this year we’ll be streaming live on Friday, October 2nd, from the campus of St. Jude.

Also, if you’re not familiar with the story behind Relay’s annual St. Jude Fundraiser, be sure to visit 512 Pixels for the details.

Thanks in advance for checking out Relay’s fundraiser for St. Jude and to all who donate.

Hot on the heels of OpenAI’s addition of a cloud-based browser to ChatGPT Work, Anthropic has added an in-app browser to Claude Cowork in its desktop app. What’s interesting about the two browser implementations is that while both ChatGPT Work and Claude Cowork are meant to be used for general knowledge work, Claude Cowork’s browser is something of a hybrid that mixes aspects of OpenAI’s Codex built-in browser with its ChatGPT Work cloud-based browser.

First of all, I do not yet have access to Claude’s in-app browser, so the following is based solely on Anthropic’s announcement and other documentation. Still, the differences are worth understanding since the tools are aimed at different workflows.

Like Codex’s in-app browser, Claude Cowork’s in-app browser is built into the desktop app itself. That ties Claude’s browser to the instance of its app running on your Mac. Turn your Mac off or close the Claude app, and the browser becomes unavailable. Leave the Claude app running, and you’ll be able to control the browser session remotely through the Claude mobile app or the web.

From there, however, the browsers diverge. As you’d expect, the Codex implementation is developer-oriented, with tools to build, inspect, and annotate web pages along with access to a terminal, repos, and diffs. In contrast, Claude Cowork’s in-app browser opens automatically as needed for general-purpose web tasks instead of development tasks.

Also, while both ChatGPT Work’s and Claude Cowork’s browser implementations benefit from being isolated from your other day-to-day browser use outside those apps, their handling of login credentials is a little different. As I wrote in greater detail yesterday, ChatGPT separates the login process from the model’s activity and evaluates the login page for things like phishing schemes. Claude Cowork’s in-app browser offers two ways to log in: manually, or by importing cookies from logged-in sessions in another browser. Currently, Claude supports cookie imports on the Mac from Chrome, Edge, and Firefox, but not Safari. In addition to the security benefits that come with a browser that runs isolated from your everyday browser, Claude also requests permission before acting on a site for the first time, blocks high-risk sites, checks actions against the your requests, and uses the same prompt injection protections as its Chrome extension.

My first-run experience with ChatGPT Work’s cloud browser was a mixed bag but showed promise. Although I haven’t tried Claude Cowork’s browser yet, I’m glad to see Anthropic moving in the same direction as OpenAI here. Isolating agent browsing by bringing the browser into Claude and ChatGPT doesn’t solve every security issue, but it’s a good starting point. I expect we’ll see both Anthropic and OpenAI iterate quickly on this theme in the coming months.

Today, Apple announced that it will host an event it calls “Surprise and Shine” on September 9, 2026, at 10:00 AM Pacific Time. The company is expected to announce the iPhone 18 Pro line, the highly-anticipated iPhone “Ultra”, as well as new Apple Watches and potentially new AirPods and HomeKit devices.

The event will be streamed live globally on Apple’s Events page as well as on YouTube and in the Apple TV app. Some members of the media were invited to watch the event in person at the Steve Jobs Theater at Apple Park.

MacStories will be covering all the details of the event, so stay tuned and get ready for September 9.

Yesterday, OpenAI introduced a new ChatGPT Work feature designed to let it navigate websites that require a login without revealing your credentials to the model.

Like a lot of people, I spend far too much time clicking around websites that require a login, looking at analytics and other data, checking whether new sponsors have been booked for our podcasts, and more. It’s a tedious but necessary part of my week that slows me down and takes me away from writing and other creative work. ChatGPT’s new Work feature is designed to handle that sort of work for you.

The feature works by signing into websites using a virtual, cloud-based computer. That separates the browsing session from any browsing session on your local computer, walling the agent’s computer use off from your open tabs, cookies, browsing history, passwords, and other data. Because the login and browsing happen in the cloud, that also means work can continue whether you close the ChatGPT app or power down your computer.

According to OpenAI, an additional review model checks the sign-in request and credential destination for signs of phishing or deception. ChatGPT Work then pauses while the user signs in. Credentials entered through its secure sign-in form go directly to the cloud browser and are not visible to the model. After the user authenticates, ChatGPT resumes its work.

OpenAI also explains that its cloud-based browser doesn’t store your username and password. Instead, it saves cookies that allow you to return to a previously authenticated session. If you don’t want to remain logged in, ChatGPT’s cloud browser settings allow you to clear browser data for individual websites or all sites.

Similar to other features in ChatGPT and Codex, users have choices when it comes to which sites ChatGPT Work can access. “Always ask” is the default, requiring the agent to check with the user before using a website, but the permission level can also be set to “Auto approve” after ChatGPT checks a site for relevancy and risk or “Always allow,” which OpenAI discourages. Individual websites can also be allowed or blocked. These settings control website access, but consequential actions require separate confirmation.

ChatGPT Work’s browser control works best on a mobile device and with simple login systems.

I gave ChatGPT’s browser use a try and the results were mixed. I wasn’t able to get the feature to work at all using ChatGPT Work in Safari on my Mac. Some websites had security measures in place that prevented me from logging in. Other times, the cloud browser asked me to take over manually, but I was unable to do so because the UI was frozen or login panels didn’t appear.

Logging into a site with a CAPTCHA required manual intervention.

I had better luck using my iPhone. On one site with a simple username and password system, a login sheet appeared. I entered my credentials, was logged in, and the agent navigated the site to answer my queries. On Apple’s affiliate link dashboard website, I had to take over the browser interaction manually to satisfy a CAPTCHA, which worked after several challenges. Once logged in, the agent pulled and analyzed the data I requested. Also, after I’d signed in to both of those sites on my iPhone, I remained logged in to ChatGPT’s cloud browser, which meant I could also use them from my Mac.

In its current form, the idea of having ChatGPT Work browse signed-in websites on your behalf is better than its implementation. If you can get logged in, having an agent collect and analyze things like analytics data is fantastic. However, getting past the initial login screen is still too frustrating. That said, I’ll be keeping a close eye on the feature, which is available on eligible plans depending on rollout and workspace settings, for future use collecting and analyzing data that would otherwise require a lot of clicking around.

The Magic Keyboard isn’t the only accessory Apple updated today. As Juli Clover reports for MacRumors, the 40W Dynamic Power Adapter that can charge up to 60W was also updated for users in Europe and Vietnam:

The updated variant of the power adapter has a retractable two-prong design. The prongs pop back into the power adapter’s enclosure, making it easier to tuck into a bag or a pocket. Apple previously debuted a standard U.S. variant in September 2025 alongside the iPhone 17 models, and a type G plug version in November 2025.

At this price, why not buy two?

Plus, as Chance Miller covered for 9to5Mac, there’s a new Apple Polishing Cloth. It’s not clear whether the new cloth is different from the one that came before it, but in one respect it’s a big improvement. The updated Polishing Cloth has dropped in price to $9 from $19. In a world of high-priced memory and storage, I’ll take the pricing wins where I can get them.

Source: Apple.

Earlier this year, Apple swapped the text on some of its laptop keyboard keys for glyphs. MacRumors reports that the trend has now spread to four of the company’s Magic Keyboard models:

On the new keyboards, the tab, caps lock, shift, return, and delete keycaps are labeled with glyphs rather than edge text.

The keyboards with numeric pads get even more glyphs than the more compact models.

It’s a small change, but I like it. I burn through keyboards pretty fast with the amount of typing I do, and these come just in time to replace the Magic Keyboard on I use with my Mac Studio that has a slowly disappearing “A” key.

Source: Apple.

Today, Apple announced a new M6 chip that will debut in the Mac mini and an M5 Ultra that is coming to the Mac Studio. The company also announced an M5 Pro Mac mini and an M5 Max Mac Studio. Let’s take a look at the headline specs.

The headline feature of the M6 chip is that it’s Apple’s first 2-nanometer chip. The chip also includes “a larger 12-core CPU complex with the world’s fastest CPU core, a larger 12-core GPU with Neural Accelerators, a Dual 16-core Neural Engine, and up to 170GB/s of unified memory bandwidth.”

Looking more closely at the M6, Apple says it consists of two super cores, four performance cores, and six efficiency cores and is 1.2x faster in multithreaded performance than an M5 and up to 2.4x faster than an M1. Apple says the GPU delivers nearly 30% more peak GPU compute for AI than the M5. The M6’s 10% faster memory bandwidth will help with AI tasks, too, but its 32GB memory ceiling will limit which models can run locally.

Source: Apple.

The M6 mini’s GPU sounds impressive, too, with two more cores, Neural Accelerators for each core, which is a first for the mini. According to Apple, that leads to an up to four-fold increase in AI performance and a 2x graphics bump compared to the M4 mini. The Neural Engine has also been improved.

Apple also introduced an M5 Pro mini. It’s understandable if you find it confusing that the base model Mac mini has a more recent generation chipset than the more expensive model. What matters more than the chip generation is the “Pro” in M5 Pro, which makes it more capable than the M6, which has been designed for entry-level models. The same sort of asymmetry occurred with the 2025 Mac Studio, which included an M4 Max model alongside the M3 Ultra. A big part of that difference is the M5 Pro mini’s support for 64GB of memory (double the M6 version’s top memory spec) and its 307GB/s of memory bandwidth compared to the M6 model’s 170GB/s memory bandwidth.

Source: Apple.

As for the M5 Ultra, which debuts in the Mac Studio, it sounds like a beast. According to Apple, the chip uses a next-generation version of its UltraFusion technology, resulting in a quad-die architecture for the first time in an Apple silicon chip. In addition, the M5 Ultra features an “up-to-36-core CPU and up-to-80-core GPU with a massive 1.2TB/s of unified memory bandwidth, 50 percent more than M3 Ultra.”

Here’s what Sri Santhanam, Apple’s vice president of Silicon Engineering Group, had to say about the new chips:

Today, we’re debuting the next giant leap in performance and AI compute for Apple silicon with the incredibly advanced M6 and the most powerful M-series chip yet, M5 Ultra. Built using the cutting-edge 2 nm process, M6 combines a new CPU complex, two additional CPU and GPU cores, a Dual 16-core Neural Engine, and more unified memory bandwidth to power through workloads with amazing energy efficiency. And for the ultimate desktop performance and the ability to run massive AI models, M5 Ultra features a massive GPU, now with Neural Accelerators, and more unified memory bandwidth, pushing the boundaries of what a desktop can do.

Apple is fusing two dual-die M5 Max chips to create a single quad-die architecture. Apple says the M5 Ultra is “up to 1.25x higher single-threaded performance and up to 1.3x higher multithreaded performance than M3 Ultra”, the fastest Mac previously for sale. The M5 Ultra also supports up to an 80-core GPU with up to 4.5x the peak GPU compute for AI tasks compared to the M3 Ultra and features an upgraded Media Engine, according to Apple.

Source: Apple.

For those who don’t need the bleeding-edge performance of the M5 Ultra, Apple also introduced what sounds like a very capable M5 Max Mac Studio. The M5 Max version of the computer “features an 18-core CPU, an up-to-40-core GPU with Neural Accelerators built into each core, and up to 128GB of unified memory, accelerating complex pro and AI workloads.”

Macs featuring the new chips won’t be available immediately. You can preorder both online today for delivery on September 22 with the caveat that the M5 Ultra Mac Studio with 512GB of memory won’t be available until later in October.

Prices have risen too. The Mac mini models are both $100 more than the models they replace, while the M5 Ultra Mac Studio’s base configuration has risen $200. However, the M5 Max Mac Studio’s starting price hasn’t changed.

The Mac mini has been a lot of things to a lot of people over the years. From a compact, minimalist desktop system to a headless server, the mini is Apple’s jack-of-all-trades. More recently, demand for the tiny computer has surged as people put them to work for a variety of AI tasks, including running LLMs locally and serving as standalone Hermes and OpenClaw machines.

With memory and storage constraints, it’s no surprise that the base prices of the mini have risen. Despite those challenges, I hope Apple is able to produce enough to meet demand. I’ve loved having an M4 Pro model working away day and night in the background. It’s fast, relatively cool, energy efficient, and easy to run remotely. If the claims of Apple’s press release hold up under real-world use, I expect the new models will be the same, but faster and more capable, which is especially important for tasks like running models locally.

I’m also looking forward to seeing how the new Mac Studios perform in real world tests. I’ve used an M1 Max Mac Studio for a few years now and it’s been every bit the workhorse computer I need for my day-to-day work. However, it’s beginning to show its age when it comes to AI tasks, coding, and other tasks. It may finally be time for me to upgrade.

Source: Apple.

Today, Jungle released their fifth studio album, Sunshine. Alongside the release, Apple published a look at how the band used Apple Creator Studio to film 11 music videos in just four days, an impressive feat no matter the technology used.

The band’s toolbox included Logic Pro, Final Cut Pro, and Pixelmator Pro to capture the series of signature one-shot take videos. According to the App Store feature on the band’s process, Logic Pro was where the entire album was produced. The app’s Varispeed feature was also used to shift the tempo of songs while maintaining pitch as they shot the videos.

Final Cut Pro’s Magnetic Mask was used to composite footage quickly. Jungle’s Tom McFarland told Apple:

Final Cut Pro is like a magic sword. There’s one shot for the track ‘Romeo II,’ where the camera accidentally caught some of the lighting rig. With five clicks, the editor was able to paint it out. It just automatically knows.

Pixelmator Pro on the iPad with an Apple Pencil and Mac enabled the band’s team to add artwork and posters to the final product, too.

But of all the quotes from the band, J Lloyd’s comment really struck a chord with me:

We didn’t have to worry about the tech. We could just focus on getting the design right. I could pick up the iPad between takes and keep sketching on Pixelmator Pro, and it all just worked.

I love apps, or I wouldn’t write about them every day, but what I love even more is the creativity they enable. Getting a glimpse of how one of my favorite bands uses some of the same tools I do was a treat.

Late yesterday, OpenAI revealed the sort of automation catnip I love: Computer History. It’s a new feature for Pro, Business, and Enterprise subscribers that creates continuity for ChatGPT and Codex by converting the actions you take on your Mac into Markdown memory files that serve as context for subsequent interactions. The idea is that with the additional context, ChatGPT and Codex will better understand your requests, requiring you to provide less detail up front while getting better results. Anyone familiar with OpenClaw, Hermes Agent, and similar projects will know where this is going.

Here’s how it works.

Computer History is currently a Mac-only feature that is turned off by default, so if you want to try it, head to the Integrations section of the desktop app’s settings and toggle it on. History entries can be cleared individually, too. Before you get started, ChatGPT explains that you can pause or clear your history and manage the apps and websites that Computer History accesses at any time. I excluded Passwords, 1Password, and Keychain Access to start and may add to that list as I use the feature more and get a better sense for the sort of information that it collects.

That opening alert also says you agree to pause Computer History during video and audio calls with others to avoid recording them without their consent. I appreciate the reminder that recording people without consent is something you shouldn’t do and is even illegal in some places, but as with the many meeting summarization tools on the market, I doubt that very many people will heed the warning and comply even though doing so is just a click of the menu bar away.

Still, I appreciate the alert up front, because turning Computer History on requires trust that the information won’t be misused by OpenAI. I’m sure that’s a bridge too far for some, but one of the most frustrating parts of using a tool like Codex is explaining yourself over and over. Every thread is like Groundhog Day for an agent, and while there are techniques that help provide continuity, making it automatic with Computer History is an exciting prospect.

If you’re intrigued by the potential, it pays to read OpenAI’s documentation and understand how the feature works. First of all, Computer History is not the same as Chronicle, a retired research preview feature that relied on taking screenshots as you worked. In contrast, Computer History records interaction events but not screenshots, audio, or private web browsing sessions, according to OpenAI’s documentation. In practice, what that means is that as you work, ChatGPT will record your switches from app to app and what you’re doing in apps. Here’s what it’s captured as I started work on this story:

As you can see, every 10 minutes, ChatGPT creates a brief, timestamped summary of what I’ve been doing and lists the apps I’ve used by their icons. If I hover over an entry, I can immediately delete it or open the source file in the Finder for more detail on the information that ChatGPT is collecting.

Each entry in Computer History is a Markdown file with YAML front matter that includes a title, description, and list of the apps you’ve used followed by a structured memory document. Here, you’ll see a summary of what you’ve done:

The user continued writing computer history.md in Obsidian’s MacStories Vault, refining the section that explains how Computer History differs from the earlier Chronicle preview and adding a practical description of what the feature records while the user works. The user referenced the OpenAI Learn Computer History documentation in Safari, briefly exchanged messages with Federico Viticci, checked ChatGPT/Codex settings, and then opened MacStories Images to queue a screenshot named CleanShot 2026-08-14 at 06.08.44@2x.png for upload. The upload was queued by the end of the segment, but no completed upload or copied Markdown image link was observed.

You’ll also find details that ChatGPT deems important and non-obvious, such as the following:

Important non-obvious context about the user

• MacStories Vault - Obsidian vault where the Computer History article draft was active.
• computer history.md - active note being drafted for the Computer History article.
• CleanShot 2026-08-14 at 06.08.44@2x.png - screenshot selected from @ Screenshots and queued in MacStories Images near the end of the window.
• MacStories Images - internal Safari image uploader used for the screenshot; the page showed one queued item and an Upload 1 control.
• Federico Viticci - Messages conversation briefly active during the writing session.
• ChatGPT/Codex settings - ChatGPT app showed settings around 10:08Z, likely related to the same Computer History article context.

That’s followed by a more detailed blow-by-blow accounting of what I did over the course of the 10 minutes covered by the report. In all, it’s just shy of 700 words, which, by the end of the day, will be just one short journal entry among dozens tucked away in a folder on my Mac.

Codex.

Those files are used as context for ChatGPT and Codex. I haven’t used the feature long enough to thoroughly test it, but as you can see from the screenshot above, it provided concise, correct answers when asked about what I’ve been working on today and my conversation with Federico.

That’s not too different from what the new Siri app can do on macOS Golden Gate, but as I suspected, the seams start to show when you move beyond questions to tool use. When I asked Codex to send a draft of my story to Federico, it called on Computer Use to find the Markdown file and drop it in my Messages thread with him, which is exactly what I wanted. By contrast, the Siri app pasted the text of the draft into the message itself as a wall of raw Markdown text with \n characters for line breaks. Spoiler: that’s not what I wanted.

Siri.

Siri comparisons aside, Computer History is the sort of feature that deserves a check-in down the road because its true value and limitations aren’t going to reveal themselves from a few contrived examples. OpenAI’s documentation explains that it can be used to jog your memory when resuming a project, find things you recently worked on, and create workflows, which is the most interesting bit.

So many potential automations die before they’re ever created because we all have deadlines and too many things to get done. Stopping to build a skill or other automation for a task breaks your flow. Computer History promises to reduce that to a simple request like, “I just did X. Turn it into a skill.” Again, how well that works in practice remains to be seen, but it’s exactly what I want from an agent.

I’ve already touched on some of the privacy implications of Computer History, but it’s worth digging into how these memories are generated before you use the feature. The Markdown files I described are built from the interaction events that Computer History records locally as you use your Mac. OpenAI says the event files are deleted after 48 hours and are used by Codex in an ephemeral session to generate the Markdown memory files that are also stored locally. Then, when you ask a question in ChatGPT or Codex that calls on your local Markdown memory files, they are used as context for the prompt, transmitting the data as part of the request to OpenAI. So if you’re not comfortable with letting Codex use your Mac interactions to generate memories and then sending those memories to ChatGPT or Codex as context, you shouldn’t turn on Computer History.

Me, I’m excited by the prospect of Computer History. I work across a huge number of apps every day on multiple projects, and it’s too easy to lose track of it all. But most of all, I’m intrigued by the possibility of reducing the friction of creating repeatable skills to automate everyday tasks. I’m just a few hours into my Computer History experiment, and I will report back after I’ve had time to live with it for a while.

Jeff Johnson has a knack for finding spam on the App Store. Yesterday it was review spam, and today it’s app submission spam. In a post where he called out an individual for releasing 41 apps, and presumably contributing to slow app review times, Johnson proposed a solution:

…bring back Apple Developer Program tiers and review app updates post-release for proven developers. Why should Marco Arment go into the same App Store review queue as AI slop? Does that make any sense for developers, for Apple users, or for Apple? Is there no way for developers to earn Apple’s trust, no matter how long they’ve been in the App Store, no matter how famous or beloved? Should professional software developers whose livelihood depends on the App Store go into the same review queue as hobbyists? Speaking for myself, I would be willing to pay a much higher developer program fee for improved service, including a separate review queue. I suspect that a much higher developer program fee might also deter scams and AI slop, typically looking for a fast, easy buck.

I’ve heard versions of this argument since before the App Store first opened its doors, and it’s never sat well with me. Maybe that’s because when I first heard someone argue that established developers or the ones who could afford it should get preferential treatment, I was an unknown hobbyist learning Objective-C and trying to build an app myself. It struck me as gatekeeping then, and it still does today.

There’s no doubt that there is spam on the App Store, but the way to remove it is to target the spammers, not new developers, students, and hobbyists looking to build their ideas. I know that being an indie developer isn’t an easy way to make a living, but erecting barriers to submitting apps is the surest way to starve Apple platforms of fresh, innovative ideas. That hurts everyone from users who would have fewer choices to the established developers who would find themselves writing apps for a stagnant platform.

I dove into Big Walk with no expectations at all. I’d seen trailers leading up to the launch and knew that it was a co-op puzzle game from House House, the makers of Untitled Goose Game, but that was about it. And because most of my gaming is done solo, I initially tuned out most of the game’s post-launch headlines. Still, Big Walk is published by Panic, which has a great track record for finding and publishing great indie games, so I decided to give it a try earlier this week. And you know what? I love it.

Big Walk is about as low-key as a puzzle game gets in the best possible way. Co-op is the only mode, so you’ll need to coordinate a time to play it with a friend or group. One person takes the lead, setting up the session and inviting the others. The process is far simpler than trying to find a time that works for everyone in your group.

As players join, you’re dropped into a space to wait for the others and explore a little. This lobby space is where you’ll learn the game’s controls, too. Big Walk supports keyboard and mouse input as well as a controller, which is what I used, playing on an M4 Max MacBook Pro.

Once you get your bearings, it’s time to exit the lobby and start exploring. That exploration is core to what Big Walk is all about. You aren’t told what to do, but there are just enough clues to push you forward, figuring out the goals on your own without too much trouble.

I played using AirPods Pro 3, and the game made great use of their mics and speakers, simulating the environments we were in. Closed spaces were echoey, and speech was distant and faint when we were separated. Sound even becomes part of the mechanic in some puzzles, such as an early one where you have to look through an open window to hear each other properly and help guide the other player’s actions.

That cooperation is the key part of the game’s loop. You may see how to solve Big Walk’s puzzles on your own, but implementing the solution will require you and a companion to work together.

The togetherness of it all extends beyond the puzzles, too. Big Walk’s environment (at least in the early stages) is mountainous with large rocks and trees that make it possible to get separated from others. Add to that day and night cycles where it’s almost impossible to see where you’re going at night without a light, and you have every incentive not to wander off on your own without a plan for how to reconnect.

I’ve played through Big Walk’s first couple of sections, and it was a blast. The puzzles were clever and challenging without being frustrating, but most of all, I enjoyed working through them with someone else. There’s no time pressure or monsters lurking around corners – just puzzles and a chance to chat.

Ultimately, that’s what makes Big Walk work. It’s a good hang built against the backdrop of a beautiful landscape and low-key, fun challenges. I highly recommend giving it a try.

Big Walk, which supports crossplay and 2–12 players, is available on the Mac App Store for $14.99. The game is also on Steam, the Switch 2, and PS5.