Last year was a quiet year for watchOS. While Apple took a couple of swings with Workout Buddy, Smart Stack hints, and a redesign of the Workout app, watchOS 26 was a scaled-back release compared to the big changes and upgrades in watchOS 11 the year before.

Of those swings, the excellent redesign of the Workout app felt severely hampered by bizarre scrolling behavior, Smart Stack hints didn’t appear often enough, and I found Workout Buddy to be mildly annoying and limited (though it’s true some users had the opposite view).

Let’s not forget the addition of Liquid Glass, too, a design system that was more like a coat of paint for the Apple Watch than the behavioral change seen on iOS.

Out of everything that was added, the wrist flick gesture was my favorite, and something I continue to use throughout the day. I don’t mean to sound down on last year’s release – there were genuine improvements in several areas – but it just felt more like a small evolution.

This year’s WWDC keynote didn’t feature a dedicated watchOS section (or a dedicated section for any particular OS, for that matter), but that’s not to say there’s nothing to see in watchOS 27. In fact, after several weeks of beta use, I see several intriguing things going on here.

So with that obvious tease out of the way, let’s break down what you can expect from watchOS 27.

Siri AI and Apple Intelligence

The headline feature at this year’s WWDC was Siri AI, and along with every other platform (save for tvOS – yet), watchOS will be gaining access to Apple’s upgraded personal assistant.

I had worried that with the promised launch of an upgraded Siri, the Apple Watch would be forgotten in the rollout or receive a diluted version, so it’s exciting to see that not only is Siri AI included with watchOS 27, but it is almost a like-for-like copy of the iOS version. This is likely due to the way Siri AI on watchOS will essentially bounce queries off a paired iPhone.

Siri AI continues to appear as a slightly amorphous assistant that can be summoned by long-pressing the Digital Crown, uttering the wake phrase, or using Raise to Speak. But now, it is also a dedicated app that lets you continue conversations started on other devices.

Siri AI on watchOS only debuted in the latest developer beta a week ago, so I haven’t had long to fully test it. That said, I have two strong takeaways already: Siri AI shows the potential of becoming something huge for the Apple Watch, but it is, as of now, quite buggy.

Let’s start with the positive: the potential. I’ve long said that the best place for digital personal assistants is on existing items we wear like watches, rings, and glasses. The friction is low, and you’re not adding another device to your daily carry.

Imagine, if you will, being able to raise your wrist, ask a question, and get an instant answer without having to fiddle around getting your iPhone out of your pocket or bag, unlocking it, and then holding the power button or saying Siri’s wake phrase. Who needs that faff? Certainly not me.

That’s why when Siri AI has worked well, it’s been a great experience.

While world knowledge questions are great, it excels more with in-depth queries, like a question about an old message. One good example is a query I had (pictured above) where, while talking to someone, I needed a friend’s website URL to pass along. I knew I’d sent it to my wife, so I asked Siri AI to find it. Based on the context, it searched messages with my wife and found the website, which I read out.

I’ve had several experiences like this. I had Siri AI find what our seat numbers were to see Aziz Ansari. I asked about the weather, with follow-up questions about the UV index and wind speeds, too. Although results can be slow, getting information like this felt like a superpower. The Apple Watch is a very personal device, and these experiences were both personal and useful.

Now for the negative: bugs. Unfortunately, Siri AI in the latest developer beta (and, likely, the first public beta) has a lot of them. To be clear, this is to be expected; it’s called a beta for a reason. But it’s also worth being aware of these issues if you’re thinking of trying out the public beta and expecting a consistently amazing personal assistant.

Queries frequently fail or time out, and Siri AI can often be a little too keen to answer your query, cutting off your question before you’ve finished. These bugs have also, unfortunately, leaked into some standard Siri requests. Setting a timer on the Apple Watch has been impossible for me since the update.

While it’s strange that these bugs are popping up, given that they aren’t issues on iOS, I expect the smaller ones to be fixed by the time Siri AI is released publicly later this year. The big question is whether Apple can bring Siri AI to an adequate level of reliability on the Apple Watch and fulfill its huge potential.

In terms of Apple Intelligence upgrades, there’s a new feature called Call Context. This promises to surface relevant information on your Apple Watch when you are on certain phone calls. For example, if you’re calling an airline, your Apple Watch might show the flight you have booked, or if you’re calling a friend, it might show their upcoming birthday. You get the picture. I’ve yet to encounter Call Context, but it could prove to be a small yet handy feature.

App Navigation and Interface

Apple claims opening speeds for apps across all of its platforms are up to 20% faster. On watchOS specifically, the company says tapping to start a workout and media playback are quicker, too.

I’ve got to admit: whatever Apple has been refining behind the scenes has worked. From the very first beta, apps opened dramatically faster. The same goes for general interactions like screen refreshes and button taps. It’s made the Apple Watch easier and quicker to use, which in turn has made the experience more enjoyable.

Over on the UI side of things, Apple has introduced an extra layer of app icons on top of the classic grid/list view. The dynamic app grid displays five app icons based on context and recent usage, surrounding one fixed icon for Siri AI. You can access the traditional grid or list view by swiping up from this grid, scrolling up with the Digital Crown, or tapping the app grid icon in the bottom of the app grid.

In use, I’ve found this new view a bit frustrating. It usually displays your most recently used app, which can be a waste of an app slot if you don’t frequent it often enough. Plus, I had already deliberately organized my icon grid to make it easy to access my most frequently used apps; this extra step gets in the way of that.

This would all be well and good – as I’m sure some people will like this feature – if it were optional. Frustratingly, it’s now the default behavior, so I’m forced to tap or swipe again to access the apps I like. It’s not the end of the world, but it’s certainly an unnecessary annoyance.

Elsewhere in watchOS, the UI design has been given some nice refinements. Just like on Apple’s other OSes, app icons are sharper and more distinct, and the Liquid Glass design system is much more readable in areas like Notification Center. Unlike on other platforms, the transparency of Liquid Glass cannot be adjusted on watchOS, but the level Apple has settled on is, I think, a decent compromise.

Workouts and Health

The biggest news, for me at least, is that the terrible scrolling behavior in the Workout app that I mentioned at the top of this article is gone. It’s difficult to describe without seeing it for yourself, but I would say it feels more “natural”.

The number of workouts the app scrolls past nicely reflects the amount of velocity you apply to your swipe, and even a dramatic swipe will only get you past a maximum of four workouts on the list. It shouldn’t have been a problem in the first place, but it’s good to see it rectified.

Workout Buddy has received a number of refinements, which will be welcome for users who like very enthusiastic announcements during their workouts. The big news is that Workout Buddy no longer requires a nearby iPhone to work. That’s a win for those who want to go out for a workout with their AI buddy but leave their iPhone at home.

Next, Workout Buddy’s insights are reportedly improved and deliver more detailed feedback. New insights include progress for pace, distance, and workout duration. In testing, I’m not sure I’ve noticed a huge difference, but more data is always welcome when you’re working out.

Finally, Workout Buddy features improved voice delivery that is more natural and less abrupt. Its phrasing now combines multiple achievements into a single statement to provide more consolidated feedback, and it will be available in Spanish as well.

While not available to view on the Apple Watch, if you’re cycle tracking with your iPhone and Apple Watch, Apple Health will warn you if your cycle patterns are suggestive of perimenopause. As is the Apple way, the app will encourage you to track related symptoms, provide resources, and talk with your healthcare professional. It’s good to see Apple continuing to support common but often overlooked areas of health like this, especially ones specific to women.

Lastly, following the through line of performance improvements Apple is targeting across its platforms, step count accuracy and syncing between the iPhone and Apple Watch are fixed, and the accuracy of treadmill distance tracking has improved.

Find My

The Find My app has historically – and bizarrely – been split into three separate apps on watchOS: People, Devices, and Items. I’ve never understood this logic, but watchOS 27 finally consolidates these three tracking streams into one app, just like every other platform.

What’s great to see is that, unlike last year’s Notes app, the new watchOS Find My experience is incredibly close to the one on iOS. You can switch between the three categories using a button in the top-left corner of the screen, scroll through each item or person, and perform all the usual actions you can on other platforms.

These include playing a sound, marking an item as lost, setting up location alerts, and even Precision Finding. The way the watchOS team has translated the full Find My app experience to the wrist is a real triumph of app design.

Smart Stack and Gestures

This is the third watchOS release for the Smart Stack, and it continues to gain enhancements. This year, those come in two forms. First, there is a range of new Smart Stack suggestions, including a close contact’s birthday, parked car location, and transit card balance.

An intriguing addition is a Smart Stack suggestion that will prompt you to change a recurring alarm the night before a holiday. I look forward to the day when my daughter doesn’t wake me up every morning so I can take full advantage of this.

The second enhancement comes in the form of a new gesture. I’ve not been coy about my love of gestures on the Apple Watch, and after last year’s addition of the excellent wrist flick gesture, I was hoping for more this year.

The new single-tap gesture allows you to launch individual widgets within the Smart Stack or carry out an action like starting a workout or recognizing music. This is a nice addition, but my excitement is tempered by the fact that the gesture only works in the Smart Stack. The gesture being unavailable as an API for third-party apps is a disappointing omission by Apple, so I hope they grant developers access soon.

Tidbits

Notifications have been tweaked slightly to allow better access to options like muting and disabling them. Apple Pay notifications are richer, too, with clearer transaction information and a map showing the location of the purchase.

Sticking with transactions, iOS 27 is gaining the ability to create custom Wallet passes from QR codes, and watchOS will display these creations in the Wallet app as well. And in another example of increasing feature parity between watchOS and iOS, the Wallet app now shows card balances.

There are several features that users just don’t take advantage of on the Apple Watch purely because they don’t have the need or don’t particularly like them. Unfortunately, some of these features can affect battery life, so with watchOS 27, your Apple Watch will look for unused features and offer to turn them off to enhance battery life. These include things like Double Tap, Raise to Speak, and Start Workout reminders. You can always turn these features back on in Settings.

Lastly, continuing the theme of performance enhancements, Apple says watchOS 27 has improved Wi-Fi connectivity, better water detection, and more efficient GymKit integration.

Heading to the watchOS Graveyard

watchOS 27 comes with a few cuts, too. The Walkie-Talkie app is gone, as is the App Switcher. While I’m sure there are few who will miss Walkie-Talkie, the axing of the App Switcher seems a strange choice.

Previously, a double press of the Digital Crown would surface your currently open apps, allowing you to switch between them or close them. Now, a double press does the same thing as a single press: opening the new dynamic app grid. I used the App Switcher infrequently, but when I did, it was useful, so I hope Apple reverses course.

The last axe to fall in watchOS 27 is actually on several Apple Watch models. watchOS 27 will only support Apple Watch Series 9 and above, Apple Watch Ultra 2 and above, and Apple Watch SE 3. That means, of the models that could run watchOS 26, Apple is dropping support for Series 6, 7, 8, Ultra 1, and SE 2.

That’s quite a few models, and while Apple has explained the reasoning behind this decision, it will be frustrating to some users, especially those with the original Apple Watch Ultra.

---

Siri AI and several new Apple Intelligence features are the big carrots for installing Apple’s OS 27 releases this year. That includes watchOS, and despite its bugs, it’s been exciting to test Siri AI out. If Apple can deliver on this promise, it could be a game changer.

Yet, for most users, the performance enhancements I’ve seen will be the most immediately tangible part of the new OS (with the usual warning that running the watchOS beta means your battery will take a hit). The ability to raise my wrist, perform an action, and quickly move on without hangs or loading screens is incredibly valuable.

Apple has previously described new iOS releases as akin to “getting an entirely new phone”. That statement often referred to feature additions and design changes; however, when you get a new device, the feeling of “new” actually comes from increased speed, power, and performance. As such, watchOS 27 can often feel like using ‘an entirely new Apple Watch’.

If you want to test out these new features before they’re released this fall, you can do so now by enrolling in the watchOS 27 public beta. watchOS 27 is compatible with Apple Watch Series 9 and above, Apple Watch Ultra 2 and above, and Apple Watch SE 3.

The public beta of macOS 27 Golden Gate is out today, and I’m sure many of you are wondering whether to take the plunge and give it a try in advance of its official fall release. That’s the question this preview is here to help answer. It’s not my final take on Golden Gate by any means; after all, I’ve only been using it for about a month, and there will be several more turns in the beta cycle between now and the public release. However, I’ve used Golden Gate long enough to help you make an informed decision about whether or not to install the public beta now.

Of course, it’s impossible for me to account for everyone’s unique Mac setups when considering Golden Gate’s stability, but it’s worth reiterating what I’ve said in past previews: modern Apple betas have been consistently stable. That’s to say, the risks of using the public beta are modest. It’s been years since I’ve had a critical app fail or lost data. I never go into beta season without a backup plan, though. If something goes terribly wrong, I have backups, backups of those backups, and alternate Macs I can switch to in the event of a disaster. I don’t expect to have to go to Plan B, but if you’re going to jump on the Beta Bus, you should have a Plan B, too.

Okay, you’ve been warned. Let’s get to the fun part.

Every year’s macOS update is a little different, but Golden Gate is more different than most. Instead of focusing on tentpole features and apps (with the exception of a new Siri app), macOS 27’s updates fall into three broad categories:

• refinements to Apple’s Liquid Glass design language,
• hundreds of system-level changes intended to improve your Mac’s performance, and
• Apple Intelligence, which includes the new Siri app as well as many other AI additions to existing system apps.

With so many past macOS updates focusing on system apps, it’s refreshing to see Apple take a more holistic system-level approach, which harkens back to how most people remember OS X Snow Leopard. In fact, during WWDC briefings, Apple representatives likened the Golden Gate update to Snow Leopard before anyone in the room even asked about it.

Snow Leopard is remembered as a release that focused on performance over features. The reality is that the update also introduced its fair share of new features, but many were less splashy from a user-facing standpoint. They were under-the-hood updates that made the Mac work better without users having to think about it much. In that sense, Golden Gate has a lot in common with Snow Leopard. Other than the brand new Siri app, you probably won’t notice that much is different when you first launch the new version. But over time, the changes will reveal themselves, adding up to a whole that – with few exceptions – is greater than the parts.

So let’s take a closer look at how Liquid Glass has evolved, the most significant system changes, and what it’s like to use Siri and other Apple Intelligence updates in Golden Gate’s public beta.

Design

Last year’s introduction of the Liquid Glass design language was divisive. I rather like it, and others don’t, but I expect the overwhelming majority of Mac users don’t have a strong opinion either way.

That said, I came away from macOS Tahoe feeling like its Liquid Glass implementation was unfinished, or at least unevenly applied, because it varied from app to app and even within apps. Examples included different transparency treatments within apps like Finder:

I use [Finder] with the tab bar visible most of the time, whether I’m using tabs or not. I also almost always use a list view in Finder. What I discovered when I turned off the tab bar and switched to an icon grid view was that the Finder toolbar and buttons became far more transparent. Dark file icons are more noticeable beneath the toolbar, and text becomes more of a distraction.

That sort of inconsistency has been fixed.

Another big inconsistency was how toolbars were handled from app to app. In some apps, like Photos, they were very transparent, making buttons difficult to see against picture thumbnails in some cases. Other apps, like Reminders, used a more frosted treatment that prevented text and icons under toolbars from competing with the toolbar’s icons and text as a user scrolled their task lists. That, too, has changed for the better.

But perhaps the single biggest change to Liquid Glass is a new slider in the Appearance section of System Settings that lets you dial in the intensity of the transparency. By default, the slider is set directly in the middle. Moving the slider to the left makes buttons and other elements more transparent, while moving it to the right reduces transparency in favor of a frosted look.

The slider is a welcome change that lets users decide how transparent UI elements are. It’s the right choice when some people love Liquid Glass, some can’t stand it, and most don’t care. The default setting works well for those who don’t care and will never think to look for the transparency slider, while those who do care can dial in the look they prefer. Me? I’m a full transparency guy, at least for now, so you’ll see a lot of that here and in my fall review.

Window sidebars have been changed in a big way, too. In Tahoe, they resembled a glass sheet sitting on top of the window. I liked the look, but if you had overlapping windows, it was sometimes possible to mistake a sidebar for a separate window, which could be confusing. With Golden Gate, sidebars extend to the edges of their windows so they look as though they’re built into the windows instead of sitting on top of them.

Apple also reversed course on another controversial Tahoe change: icons next to menu items. I use keyboard shortcuts so much that I barely noticed the icons next to every single menu item. Now, however, they’re once again used sparingly.

Mac app icons have been tweaked as well. Tahoe saw icons confined to the borders of a squircle, which is still a hotly debated topic. That hasn’t changed in Golden Gate. Instead, the glass effect that subtly distorted icon images has been dialed back, resulting in crisper looking icons.

There are other design changes, like deeper shadows to help distinguish windows from each other and more uniformly shaped window corners, that I’ll cover in the fall, but my early impressions of the changes have been positive. Everything feels more considered and consistent. Rather than feeling unfinished as it did in Tahoe, Liquid Glass now feels properly embedded into the fabric of the Mac.

System Changes

Nowhere is the Snow Leopard of it all more apparent than in the hundreds of little changes made to improve the day-to-day use of your Mac. I’m not going to catalog them all here, but I’ve used Golden Gate on two different Macs at this point, and based on my experiences so far, the changes are meaningful.

I installed Golden Gate on a MacBook Pro that I have on loan from Apple as soon as I got back from WWDC in early June. That laptop has an M4 Max chip and 128GB of memory, so it was already fast. But even on that Mac, I noticed differences when I installed Golden Gate.

Most apps launch faster, with fewer Dock bounces, which I appreciate, but the most noticeable performance improvement has been to Spotlight. I liked what Apple did with Spotlight in Tahoe a lot, but its responsiveness has been inconsistent. As a result, I switched back to Raycast not long before WWDC for launching apps, running shortcuts, and initiating other actions.

When I installed Golden Gate, I switched back to using Spotlight and was blown away by the difference. Of course, it remains to be seen whether the speed-up sticks long-term, but the early results have been impressive. Finding apps, files, folders, shortcuts, and clipboard items is lightning fast. Searching in Photos and Mail, which each got their own search tune-up, is very fast, too.

Plus, even though the MacBook Pro I’ve been using to test Golden Gate is already fast, it’s worth noting that I have roughly 3TB of data stored on it. That includes tens of thousands of photos, email messages, and texts, so even given the laptop’s speed, Spotlight’s performance is still impressive.

What’s been most impressive, though, is the difference Golden Gate has made to my M1 Max Mac Studio. It has a similar number of files and half the memory. Just before updating it to Golden Gate about a week ago, I was feeling the pain of Spotlight slowdowns. I was running macOS 26.5, and searching for an app in Spotlight often pulled up the iPhone version before the one installed on my Mac. Perhaps that’s related to the fact that my iPhone is running the iOS 27 beta, but even Mac-only apps would sometimes take five or six seconds to show up at the top of the list in Spotlight when I searched for them.

That’s completely changed with Golden Gate. I’ve used macOS 27 on my Mac Studio for a shorter period than the MacBook Pro, but the difference in speed has been a real eye-opener, making Spotlight searches nearly instant. It’s also worth noting that the initial indexing of my 3TB of data only took about a half of a work day to complete on the Mac Studio, which was faster than I expected, having watched my iPhone 17 Pro Max take days to index.

Also worth noting is that AirDrop is much, much faster now, too. I move images and other files between my iPhone, iPad, and Macs with AirDrop dozens of times each week. It’s a deeply embedded part of my workflow. Before installing Golden Gate, I rarely sent multiple items via AirDrop simultaneously because it could be very slow or even fail completely. Now, however, I’m retraining myself to send multiple screenshots and other files all at once because AirDrop is so much faster than before.

Launching apps and sending screenshots more quickly aren’t sexy new features that come with fancy screenshots I can share with you, but these are meaningful changes just the same. It remains to be seen how the improvements will hold up over time, but they’ve made a great first impression, so I’m optimistic. Changes that reduce friction are the kind of updates that help keep me focused on what I’m doing and get more done, which I consider a big win.

Those are the big-ticket system changes to the Mac, but of course, there are many other system-level changes coming, like better window positioning consistency when you use multiple displays, HDR UI elements and faster refresh rates for displays that support those features, resizable windows in the iPhone Mirroring app, full-resolution images in Shared Albums in Photos, and enhancements to Notes, Maps, Podcasts, and Messages. I’ll have more details on all of them in my fall review.

Apple Intelligence and the Siri App

The headline Apple Intelligence feature this year is the new Siri app, a dedicated chatbot-style interface that benefits from Apple’s AI collaboration with Google. Before I get into Siri, though, it’s worth noting that there’s more to Apple’s AI story this year than just the digital assistant. In fact, Apple Intelligence features have been sprinkled throughout the system:

• Finder uses AI to suggest file and folder names based on their content;
• Safari tabs can be automatically organized by topic;
• Weak passwords can be automatically updated in the Passwords app;
• Messages spawns little buttons that let you pull information out of a chat and into apps like Reminders and Calendar;
• Natural language descriptions can be used to create Calendar events; and
• Photos includes new AI-driven features like Spatial Reframing, Extend for expanding the borders of a photo, and improvements to the Clean Up tool.

Shortcuts has joined the fray, too, with the ability to build shortcuts simply by describing them. This is the sort of democratization of automation that I love. Building shortcuts has always been simpler than writing code, but it’s also had a steeper learning curve than most people were willing to deal with. You won’t be able to build a complex shortcut with natural language alone, but the reality is that even people who know how to make complex shortcuts use a lot of simple ones for day-to-day tasks, and for that, the new feature is fantastic.

I’m also a fan of the ability to build Safari extensions by describing them. I’ve made a couple, like one that generates a Markdown-formatted link list from selected tabs, and the process of building it was fast and effective.

I’ll have more to say about all of these features in the fall, but they’ve made good first impressions. In past macOS updates, some of the Apple Intelligence features have felt a little out of place and bolted on. I appreciate that these new features are woven more cleanly into their underlying apps. Maybe the era of self-consciously calling every feature AI is coming to an end and they’ll just be called features again. We’re probably not quite there yet, but one can hope.

As for Siri AI, which is surfaced in the new Siri app, Spotlight, context menus, and other locations, it’s worth keeping in mind that Apple has said it will launch later this year as a beta. The Siri AI features are also gated behind a waiting list, so don’t install the beta expecting to be able to use them right away, and even if you do get it, Siri AI is a beta of a beta.

As a result, Siri AI has more rough edges than other parts of Golden Gate. For example, it’s not uncommon for Siri requests to simply fail on one Mac but be correctly answered on another.

Other parts of Siri AI don’t work at all, like third-party app integrations since developers have to update their apps first. I can add tasks in Reminders, events in Calendar, and notes in Notes, but I haven’t had the chance to try a third-party Mac app that works with Siri AI yet. If you’re a developer working on Siri AI support, get in touch. I’ll be highlighting the best ones I try in the fall.

Despite the current limitations, if you use chatbots as a replacement for Google Search, you’ll probably have a good experience with the new Siri app. That’s because even in these early betas, if you ask Siri something like, “Give me a day trip itinerary for a trip to Chicago this Saturday,” you’re likely to get good but pretty middle-of-the-road recommendations. From there, though, you can drill down with follow-up queries to get something more in line with your tastes. The results include source links you can follow, too. Given the ad-strewn mess that web search has become, using Siri for this sort of thing is a meaningfully better experience.

The one caveat on Siri’s world knowledge is that it’s roughly 2-3 weeks stale in some places. Ask Siri to give you the most recent article on any website, and it will be 2-3 weeks old. However, fetching current information instead of specific posts is more timely. When I asked whether Anthropic had made any announcements recently about Cowork, Siri correctly linked me to stories from two days prior.

Likewise, facts like sports scores and celebrity deaths seem to get updated more quickly. I’m writing this on July 9, and I saw a headline in Apple News this morning that singer Bonnie Tyler passed away yesterday. I asked Siri if she was still alive and was told that she was “as of June.” I asked again a couple of hours later, and Siri answered that her death was announced on July 9 – the same day I asked.

Siri is also good at completing one or more actions as long as they fit within the defined set of App Intents schemas. “Remind me to walk the dog at 5:00 pm, add dinner with Jennifer at Mandalino’s to my calendar for Friday at 7:00 pm, and create a note that says ‘Hello World’” works reliably. In my early testing, Siri is also good at generating images comparable to what you’d get directly from Image Playground, creating and summarizing text, playing media like a requested podcast episode, and maintaining continuity when follow-up questions are asked.

Personal context generally works well, too. Siri can find old iMessages I’ve sent to people, it knows who my wife is and where I live, and it can find all sorts of information buried in Notes and other apps where Apple has done the work to expose that information. But like all AI systems, it sometimes makes things up. I asked Siri how old Federico is, and it looked at his entry in Contacts, which includes his birthday. The trouble is, I only included the month and day of Federico’s birthday, not the year, so Siri “guessed” that he’s 116 years old, which is off by a little. Siri also equates Reminders tasks that are assigned a time with Calendar events, which is odd.

When you dig deeper into Siri AI, you’ll discover that not all structured data on your Mac has been given the necessary makeover to work with it. A good example is Music. You can prompt Siri to play a song, but most of the rich metadata in the app isn’t exposed to Siri, which is a shame because it is exposed elsewhere, for example to AppleScript. Again, though, this is a beta, and there’s clearly more work to be done to take better advantage of what’s on your Mac.

Despite the limitations and rough edges, I expect that the new Siri app will be a hit. I’ve found Siri’s world knowledge answers to be a little superficial – similar to what Google’s AI Overviews produce. However, in-depth research isn’t the point, nor is it what people want or need most of the time. For information about current events, businesses, and other everyday questions, Siri is fine. Throw in the ability to manage tasks, calendar events, notes, and the other things people commonly do on their Macs and other devices, and it adds up to a greatly improved Siri experience.

---

Overall, Golden Gate is shaping up to be an excellent release. As for whether you should give it a try, I think it’s worth it, especially if you have an older Apple silicon Mac that would benefit from the performance gains. I also think many people will get a lot out of most of the Apple Intelligence features right away. Plus, if you primarily use an app like ChatGPT or Claude to search for information and like the idea of occasionally dropping information into apps like Calendar and Reminders, you’ll get a lot out of Siri, too.

And of course, even if you want more out of Siri than it offers today, patience is in order. I set my expectations for Siri low after Tahoe, and while I would have preferred more from this beta release, I’m willing to wait it out a little. I’m optimistic that it will improve because if Apple is able to assemble a tool that can perform multiple actions across its own apps and those from third parties, users will have an elegant, simple, privacy-focused solution that will go a long way towards fulfilling what was demoed at WWDC in 2024. And that’s something worth waiting for.

In the month that I’ve been using iOS 27 (launching in public beta today) and the new Siri AI, I’ve come to a few conclusions: Siri AI is a much better Siri and will (probably) be a massive success; the newfound chatbot capabilities of Siri will pose a serious threat to OpenAI and the vast majority of free ChatGPT users they have; and the new Siri is (again, probably) not for me at the moment. At the very least, it can’t be right now given its lack of support for third-party apps and technical issues I’ve encountered during beta testing.

It took me a while to accept the fact that Siri AI can’t be the kind of AI assistant I’d spend hours working with every day. But after testing iOS 27’s new Siri experience every day (and breaking it often in the process), I think that’s okay – and, arguably, what Apple is shooting for at the moment.

The new Siri AI is not designed for people who have grown accustomed to working with frontier models and agents such as Claude Code and Codex. The first version of Siri AI can’t be considered an “agent”, nor can it be compared to products from Anthropic, OpenAI, or Google that are targeting power users living at the bleeding edge of AI. If you go into Siri AI thinking that it’s Apple’s answer to ChatGPT Work or Claude Cowork for long-running tasks or deep research queries, you’re going to be disappointed – like I initially was.

Instead, Siri AI carries all the typical traits of a new Apple product: it’s a user-friendly experience designed for the masses, without any of the complexities that define a power-user tool, for better or worse. This is how Apple rolls: they don’t start from a high power-user ceiling and let products trickle down to consumers; they always start from the consumer level and refine, iterate, and extend until products trickle up to power users. This perspective isn’t meant to excuse the (many) current flaws of Siri AI. (More on them below.) It’s just the necessary lens for understanding how Apple is addressing their AI shortcomings in a way that doesn’t betray the company’s soul and design ethos.

There will be plenty more to say about iOS 27, the improved Shortcuts app, Liquid Glass tweaks, and other system enhancements later this year. After all, I have a review to write. Today’s column is merely an opportunity for me to reason through the obstacles I’ve faced with Siri AI and the way I’ve had to re-learn how to think about Siri.

Siri AI: The Good Stuff

You see, I believe my issue is that I’m too agent-pilled and accustomed to products like Claude Code and Codex at the moment. Desktop agents have fundamentally changed what I do as a creator who writes and talks on podcasts but also releases software products for my team and audience. There is no denying that Apple’s new Foundation models powering Siri are a far cry from Fable and Sol, or that they feel like models from two years ago. The AI frontier from the two big labs (and – we have to be honest with the numbers here – probably SpaceXAI and Meta now, too) is in a completely different league at the moment. I spent my first couple of weeks with Siri AI trying to convince myself that I could replace Codex with Siri AI, and that was the wrong approach. There is a potential future in which Siri AI can become a more proactive and capable agent, but that’s not what Apple is shipping this year.

If you, like me, are a heavy Claude or ChatGPT user but are curious about Siri AI, you need to reset your expectations and understand that Apple is going after something else entirely. For starters, the new Siri AI is a dramatically better Siri for typical Siri stuff. The new Siri understands your commands and nuanced requests better because of the LLMs behind it; it can often perform multiple requests in one go (such as setting multiple timers with one command); the new expressive (and customizable!) voices sound great, and they’re terrific at reading and summarizing notifications. Apple’s first advantage compared to other chatbots is right here: only Siri can integrate with the iPhone and iPad to this extent, so even if the Foundation models aren’t as smart as the competition, Siri can do a lot more for most people on their devices because neither OpenAI nor Anthropic have OSes they can control. Claude and ChatGPT are extremely intelligent inside their own apps; Siri AI is intelligent enough for routine tasks that can span an entire operating system.

The other key advantage of Siri AI is its system-wide persistence. In addition to voice mode, there’s now a full-blown Siri app that behaves like a traditional chatbot app, allowing you to revisit threads and pin specific ones at the top; but most importantly, you can now finally invoke the new hybrid Spotlight/Siri AI search UI from anywhere on iOS by swiping down on the Dynamic Island.

The lack of system-wide access to Spotlight on iOS bothered me for years, ever since I started reviewing iOS on an annual basis. Now, search is only a swipe away no matter the app I’m using, and the search box itself is smart enough to understand whether I’m looking for an app to launch or formulating a longer request for Siri AI.

---

It’s been challenging for me to “undo” advanced habits I’ve developed with agents like OpenClaw and assistants like Codex; I think MacStories readers who fall on the power-user end of the AI spectrum will probably face the same hurdles with Siri AI. However, I’ve been able to identify a variety of areas where Siri AI was faster, nicer, and more comfortable than ChatGPT or Codex Remote for practical, everyday questions.

I recently spent a few days in Gaeta, and as we were walking to dinner one night, we spotted this huge vessel docked in front of the restaurant. Typically, I would have taken a picture, started a new ChatGPT thread, uploaded the image, and asked a question about it. This time, I simply held down the Camera Control button (which now defaults to Siri AI mode in the Camera app) and captured a photo. A few seconds later, Siri AI told me I was looking at the Palinuro, a three-masted barquentine that serves as a training vessel for the Italian Navy – which was spot-on. An interaction that would have taken 20-30 seconds with ChatGPT was reduced to a five-second affair with Siri AI. Even nicer, I was able to ask follow-up questions from Siri AI’s floating overlay as well as find the chat in the Siri app later, where I continued asking questions about the ship’s history and usual locations.

Improved on-screen awareness and integration with Apple Maps has been another highlight. On our way to Gaeta, Google Maps had us drive through narrow mountain roads that we really didn’t like, even though they arguably saved us some time. For the return trip, I decided to use Apple Maps, but I noticed that it also recommended the same mountain roads. So without leaving the Maps app, I swiped down to invoke Siri and typed:

I wanna go back home (from Gaeta to Rome) but I don’t like this route. It goes through too many mountains. I wanna do the Autostrada as much as possible. Is there any way to maybe add some time to the trip and go slightly further down south to find another Autostrada entrance?

To which Siri responded:

To avoid the mountainous routes and stay on the Autostrada A1 longer, you can head slightly south from Gaeta toward the Cassino entrance or even further south toward Capua before heading north to Rome. This will add some time to your trip but provides a flatter, more straightforward drive on the highway.

Again, spot-on: the Cassino toll booth proved to be the way to go for a more comfortable trip.

A couple more things worth noting here:

• Siri AI didn’t mind my mix of Italian and English in the same request. Even though it’s only officially launching with English support, Siri AI is backed by a large language model – and LLMs are inherently good at multiple languages.
• Siri AI assembled a multi-step route for me, which I opened in Maps, and it was perfect.

After some hiccups in the first two developer betas of iOS 27, Siri AI has also become an efficient way to work with the Reminders app, which I started using as my primary task manager several months ago when I began working on my RemCTL CLI for it. In addition to the usual stuff that Siri could already do in Reminders before, such as creating tasks and fetching items due on the current day, Siri AI – thanks to the new and improved App Intents Apple added to Reminders – can now handle more advanced questions. For instance, I can ask Siri to get tasks belonging to two specific sections of a list in Reminders, and it’ll do it. Claude can also integrate with Reminders on iOS, but since its integration is powered by the old and limited EventKit framework, it can’t be as flexible as the exclusive App Intents integration now available for all apps in Siri AI.

I’ll have plenty more examples to share and analyze in my review of iOS and iPadOS 27 later this year. As things stand right now, my thoughts on Siri AI are converging around this idea: with system-wide access, an exclusive app ecosystem, and good enough performance, Siri AI doesn’t need to be a frontier-level model to be useful to millions of people.

Siri AI: The Bad Stuff

All of this, however, is not to say that Siri AI is perfect. Far from it.

This is beta software, of course, and Apple has time to improve the experience. But I’m afraid that some design choices and intrinsic limitations of Siri AI will remain in place for the next year, leaving us with a product that, despite a two-year delay, still feels very early compared to the likes of ChatGPT, Claude, or Gemini, even in their plain “chatbot” modes.

The biggest issue I’ve encountered is the inconsistency of it all. Very often, the new Siri AI still replies with a generic “Uh oh, something went wrong” error that doesn’t explain what the error was or why it happened. Sometimes, I ask a question via voice, and it errors out, but then a few seconds later, I type the same question in the app, and it’s fine.

Anecdotally speaking, these issues seem to occur more frequently when Siri “thinks” longer for a request, which perhaps suggests Apple needs to optimize the performance of their larger model on Private Cloud Compute. However, the fact that Apple wants to keep things simple compared to their competition isn’t doing them any favors here: in ChatGPT or Gemini, I can know when the model is reasoning for longer, but Siri AI’s interface is a black box. There are no reasoning selectors or hints in the UI at all. That is a fine, Apple-y approach when everything works well; but as soon as something breaks (as often happens with chatbots), the lack of clarity and controls stings.

The entire Siri app is, in fact, a bit of a mess. Its performance is subpar: I’ve noticed frequent stutters when scrolling threads, delays when typing (letters wouldn’t appear on-screen and autocorrect wouldn’t work), and broken ‘Sources’ popups displaying no actual sources for a query.

The app lets you rename and pin threads, which is nice, but it doesn’t offer basic controls such as the ability to select text in a Siri response or create folders for chats. Although the grid view looks good in marketing screenshots, in practice, I had to disable it immediately because I couldn’t quickly parse my threads and find what I was looking for.

Which brings me to indexing. As I noted above, Apple’s advantage compared to other chatbots will be Siri’s access to an on-device index that draws from the user’s apps and personal context. The problem is that I’ve yet to see an example of personal context “enhancing” any of Siri’s answers, and performing actions in or retrieving data from apps has been half broken for me since the very first beta of iOS 27.

I can’t speak about personal context because it has literally never worked in my examples. For apps, my understanding is that third-party ones will need to be specifically updated for iOS 27 in order to work with Siri AI – although some of them seem to work already, but others don’t? Apple requires developers to implement new features of the App Intents framework for Siri AI, and I’m optimistic that those who do will have their apps appear in Siri AI by September. Greg Pierce, the developer of Drafts, has added early support for Siri AI in his app, and I’ve been able to successfully create a note within the app from Siri, which presented a custom UI snippet for Drafts and completed the request in seconds. That was neat.

My problem is that, right now with Apple’s own apps, both the index and Siri’s ability to perform actions are very inconsistent. The assistant hallucinates abilities it doesn’t have, and it frequently just doesn’t work. In the examples below, I wanted to get notes from a specific folder, songs from a playlist, and a link from a note. Siri AI responded with an empty list of notes, said it couldn’t get songs from a playlist, and told me that my note didn’t have any links, respectively. (It did.)

Reminders integration started working for me in iOS 27 beta 3, but it still isn’t perfect. When I ask for tasks due today, Siri AI insists on presenting the same tasks twice, my only fault being that I enabled the integration between Reminders and Calendar:

At one point, I asked Siri to show me my overdue reminders. Siri AI struggled with that: it cut the list of overdue items short, apologized when I pushed back, then did it again anyways. I know that Siri AI is not based on a Gemini model but is rather a Gemini distillation, but I think that if you’ve ever used a Gemini model before, this kind of behavior with tool-calling should be awfully familiar.

Siri AI isn’t a replacement for agentic workflows with other LLMs that can perform multiple actions in one chain of events. Here, for instance, I asked Siri to get my latest screenshot from the Photos app and frame it with my Apple Frames shortcut. Not only did Siri AI not get the most recent screenshot from my library, but the assistant couldn’t perform two actions sequentially. At least, however, it told me; when I repeated a similar question but asked to copy the screenshot to the clipboard instead, Siri first asked me to confirm my action and then changed its mind and said it couldn’t do it.

Searching for content hasn’t been ideal on my end, either. When I asked Siri to find me the latest single by Phoebe Bridgers, its default text response was an EP from two years ago; when I asked via voice, the response was correct. (…Why?) I similarly haven’t been impressed with Siri’s ability to search for messages and emails. Siri AI can reliably find recent texts from the Messages app, but the moment I start going a little further back in time, the system seems to struggle. I wanted to know when we took some time off at MacStories last summer, which I know was mentioned in a MacStories Weekly email that I have in the Mail app. Siri AI could only find a generic mention of John recharging after some time off, but it couldn’t give me an exact date because it did not find the correct email. ChatGPT Work did it in one minute and gave me a full breakdown of the weeks we took off.

All of this begs the question:

Is Apple’s on-device index a solid technological foundation or not? Is this system actually going to work at scale, for users with dozens of apps installed, each donating their data to the index, perhaps spanning multiple years of content? And can the cloud models – which are not using MCP but appear to be based on a plain JSON schema for structured data – make sense of it all?

My early tests haven’t been encouraging, but we have until September to find out.

The Trickle-Up

A trickle-up strategy cuts both ways: it gives Apple an opportunity to start simple and refine over time, but it also means that you, the user, are never given any more control than what the product allows for. As a result, Siri AI can be magical when it works; when it doesn’t, it feels like a mystery.

I can’t say whether I’m optimistic that Apple will get all of this to work in time for the fall or not because they don’t have the greatest track record in AI. I’m willing to give them the benefit of the doubt since the product itself is genuinely interesting and different from any other chatbot on the market. I want Siri AI to work, and if Apple can deliver on their vision, I’m convinced that it’ll spell trouble for OpenAI and ChatGPT. (Let’s face it: it’s the product to beat here, both in and outside of court.)

Siri AI permeates iOS 27, and that’s a threat to OpenAI and the hundreds of millions of users they have using ChatGPT for free with GPT-5.5 Instant. I don’t think Apple Foundation Models are as good as GPT-5.5 Instant, but Siri AI is the more ergonomic and integrated product. When the underlying chatbot and its world knowledge capabilities are good enough, and they can also be invoked via voice, text, the Camera app, context menus, or keyboard shortcuts, why would I open a siloed chatbot when I can use Siri AI and get a comparable answer more comfortably? If you’re a casual user of ChatGPT and do not pay for it, I think Siri AI can be a very compelling product that provides similar answers and, unlike OpenAI’s chatbot, integrates with the iPhone apps you already use. I don’t think it’s a coincidence that OpenAI is now following in Anthropic’s footsteps to monetize the business and enterprise markets rather than the consumer one.

At the same time, my concern is that we may be collectively assuming that “normal people” won’t see the differences between the capabilities of ChatGPT and Siri AI. In this industry, we have a tendency to sell “normal people” short and paint them as some perplexed bunch of occasional smartphone users who somehow passively accept any technology that is thrown at them. I strongly disagree with that. Maybe those people don’t care about ChatGPT Work, Codex, or Fable (yet?), but they can tell when an AI assistant is useful and when it’s not. People will compare the utility of ChatGPT to Siri AI, and I’m concerned that Apple’s 1.0 product will feel like it’s too little, too late – especially since Siri AI will be launching in select regions and in English only.

In the AI scene, companies move fast and break things. Apple needs to move fast without breaking anything, anymore. That’s a tough challenge, but here we are.

I can’t recall the last time I was truly excited about a mouse. I primarily use a trackpad whether I’m at my desk or using a laptop. The trouble with a trackpad-only setup, though, is that I sometimes wind up with wrist and elbow pain. That’s why I keep a Logitech MX Master 4 mouse on my desk to balance out the stress on my arms.

But that only works if I’m at my desk. More and more, I’ve been turning to a MacBook Pro for working away from my desk at home or elsewhere. Those locations are always less ergonomic than sitting at my desk, causing wrist and elbow pain more quickly. Still, I’ve never made it a habit to bring a mouse with me, especially when I’m away from home, because it’s more than I want to carry – that is, until Logitech’s latest mouse, the Mobi Fold, came along.

The Logitech Mobi Fold is an impossibly small mouse that folds completely in half, reducing its footprint to about ⅓ the size of my iPhone 17 Pro Max and about twice its thickness. Unfolded, it’s close to the length of the MX Master 4 but narrower. The Mobi Fold is impressively full-featured, too, making it an excellent all-around travel mouse worth taking a closer look at.

I’ve been testing the Mobi Fold for about a month, and my favorite thing to do with it is fold it up, show it to someone, and ask them to guess what it is. No one has guessed correctly because a folding mouse just isn’t a thing most people have encountered before. Instead, the most common guess is that the Mobi Fold is a small battery for charging an iPhone, until I unfold it and the shape becomes more familiar.

The Mobi Fold is powered by a rechargeable battery that Logitech says lasts for up to 33 days (and up to 22 hours on a one-minute quick charge). The device also turns itself on and off automatically when unfolded and folded, which I love. Plus, the Mobi Fold can connect to up to three devices, and it supports both Bluetooth connections and Logitech’s Bolt dongle (sold separately).

The Mobi Fold’s surface is a soft-touch plastic that feels comfortable in your hand, and it has three buttons arrayed across the front. The middle button doubles as a trackpad, allowing you to drag a finger across its surface to scroll and perform gestures like a double tap for zooming in and out of a webpage.

By default, tapping the front of the middle button navigates forward, while tapping the back navigates back in a browser. However, as with other Logitech mice, you can program the Mobi Fold’s buttons and gestures to:

• perform different actions depending on the app you’re using,
• control system settings like brightness and volume,
• perform macro-like smart actions, and
• display the Logitech Actions Ring, a customizable set of actions that are overlayed on your work environment.

That’s a lot of customization for a diminutive mouse, which I appreciate. However, because the Mobi Fold is typically my “long work sessions at the coffee shop” mouse, I’ve found that all I really need is its traditional point-and-click functionality.

Ultimately, the Mobi Fold isn’t going to replace the MX Master 4 sitting on my desk, but it’s not meant to. I’ve fallen for the Mobi Fold just the same because its compact size and light weight make it a no-brainer to carry with me. I’ve also been pleasantly surprised at just how comfortable the Mobi Fold is to use, unfolding into a sturdy, angular shape that feels good in hand, unlike, say, Apple’s shallower Magic Mouse.

As a result, I really can’t recommend the Mobi Fold enough for on-the-go use with a Mac laptop or iPad. The combination of features in such a small, portable package sets it apart from every other mouse I’ve used and makes it well worth its $79.99 price tag.

The Mobi Fold is available in Graphite, Lilac, Off White, and Sand colors, both directly from Logitech and from Amazon.

When Fable 5 returned last week, I knew exactly what to throw at it. In February, I started a project out of frustration that likewise ended in frustration, so I put it on the shelf and waited. Five months later, Fable 5 was released, and I knew it was time to finish Editor, a single-view diffing tool for writers rather than developers.

At MacStories, we all write in Markdown, and we’ve used GitHub to share and sync changes among team members since 2015. GitHub is primarily a developer tool, but it’s a fast, reliable way to share our Markdown-formatted article files, too.

We use GitHub the most for the Club MacStories newsletters. Every week, Federico, Devon, Jonathan, and I work on sections for MacStories Weekly and save them to a GitHub repo. That allows any of us to sync the sections locally for reading, editing, and assembling the issue.

The trouble is that as great as Markdown text editors are to write and GitHub is for versioning and syncing, there isn’t a good way to view the changes someone has made to a document. I know because I’ve been looking for a solution for a long time. Some Markdown apps like iA Writer and Bear support versioning or backups, but I’ve yet to find a text editor that can visualize changes made by someone else based on a document’s Git history.

Of course, developers have many ways to track changes to code, including GitHub Desktop, Kaleidoscope, and Git Tower. Code is just text, so those apps can be used by writers, too. However, the process of writing and editing prose is fundamentally different from code. I’ve tried the apps above and others, and it’s just too hard to track changes in the formats development tools use.

We wouldn’t have stuck with GitHub as long as we have if it didn’t work, but that hasn’t made the friction of reviewing changes any less frustrating, especially on Fridays when we send MacStories Weekly. That’s when I had the idea for Editor. I was trying to parse some changes Devon had made to one of my stories with GitHub Desktop, and the friction finally got to me.

One obvious problem was the side-by-side document view many code diffing tools use. I wanted more detail than most diffing tools offer, but in a single, readable view, so I could skim through changes quickly.

Most agent-assisted projects benefit from some up-front research and planning. I knew what I wanted would sink or swim on the design, not the app’s underlying Markdown viewer, so I spent time researching systems for visualizing document edits.

That’s when I came across Upwelling, a multi-author project from Ink & Switch that describes itself as “an independent research lab exploring the future of tools for thought.” In their research paper, the authors described my exact problem:

Unfortunately, version control tools like Git, which are designed for software development, do not suit the needs of writers. Git cannot compare or merge files from WYSIWYG editors such as Microsoft Word… and graphical user interfaces for Git are cluttered with complex concepts such as commit hashes and visualizations of non-linear branching and merging histories.

Ink & Switch’s solution, a prototype collaborative text editor, wasn’t what I wanted to build, but the research behind it was full of interesting ideas that helped me settle on several principles for what would become Editor:

• Document changes needed to be visible in a single view that carefully balanced highlighting changes with readability;
• A writer should be able to instantly switch from the marked-up version of their document to the clean original and edited final version;
• Changes needed to be categorized by filterable types like punctuation, word choice, capitalization, insertions, and deletions to reduce clutter in heavily edited documents;
• Change types would be color coded using a side rail system inspired by maps of London’s tube system;
• Navigating among individual edits needed to be done by simple j/k keyboard input; and
• Global document navigation should employ a mini-map of a document’s edit regions (a feature borrowed from developer IDEs like Xcode) to make it easy to jump from one area of a document to another.

With those choices made, I got busy in Claude Code and came up with a proof of concept quickly, but sadly, these were the days of Claude Opus 4.6, which wasn’t nearly as good at design as today’s models. What I wanted was possible, but what I had was a mess.

As it turns out, designing track changes that are accurate but readable is hard. For example, does changing “day” to “date” replace one word with the other or substitute one character (the “y”) for two others (“te”)? Despite putting clear parameters around what Editor should look like, I could tell Claude was stuck, so I called it quits and moved on.

However, I’d wanted something like Editor for far too long to simply give up. So I saved what I had to a GitHub repo and figured I’d take another run at it later.

Later turned out to be last week when Claude Fable 5 was re-released after a U.S. government shutdown of the model. Anthropic made the model available to its subscribers, with some restrictions, through July 7, which I made good use of.

A lot has changed in the six months since I put Editor on ice. Notably, Claude Opus 4.8 and Claude Design were released, and Claude became better at using a browser, all of which fit nicely with Editor’s relatively complex design.

Between Opus 4.8 and Claude Design, I expect I could have finished Editor without Fable 5, but with it, the only thing that slowed me down was my five-hour token limit. I repeatedly hit the limit in under an hour as Fable managed a swarm of subagents. What could have taken a few hours last Friday night spanned an evening and the next morning. The token gating slowed me down, but at the same time, I expect that using Opus 4.8 and Claude Design would have taken the entire weekend.

But it isn’t just speed that makes Fable 5 impressive; it’s the fact that it got Editor’s complex UI right the first time. Fable took a carefully planned but very broken prototype and turned it into a polished product that the whole MacStories team can use.

However, there’s a big difference between a web app running on my Mac mini server for personal use and something that can be shared. Fortunately, Editor also benefited from the internal tool foundation Federico has built over the past several months.

He originally built it to house Feedboard, his kanban-style RSS feed reader; Images, an update to our tool for uploading images to the MacStories CDN; and iOS Review Search, a semantic search tool for his iOS and iPadOS reviews. It’s a login-protected internal page built on web app hosting platform Vercel. I later contributed a tool that summarizes Apple Newsroom posts and simplifies uploading their promotional images to our server.

With a couple of those tools in hand as context for Fable, I asked Claude to get Editor ready for our internal tools page and passed it off to Federico with a separate set of specs and instructions he could point Claude at for deployment and the creation of a landing page. That introduced bugs that required some troubleshooting, which Federico handled in part using Cursor and it new iPhone app, but by that afternoon, Editor was ready for production. The entire process from old, broken prototype to production web app took less than 24 hours, and for a lot of that time we were either asleep or away from home.

---

When you use agentic tools like Claude every day, it’s easy to forget how far they come so quickly. All you see are the flaws that still serve as roadblocks. What was different about using Fable 5 was that there were no roadblocks. It simply took a project that Opus 4.6 struggled with in February and made short work of it. It was a remarkable thing to see. And now, we have a tool that I’ve wanted since we started using GitHub for our writing in 2015.

Tomorrow, Fable will move to usage credits that are just too expensive for my tastes, given how fast the model burns tokens. Hopefully, it will trickle back into Anthropic’s subscription tiers in the future. Until then, though, I’ll continue knocking out prototypes, and if they’re too much for Opus, I’ll shelve them until a better model comes along. They always do.

In the current era of coding agents becoming productivity assistants, iPadOS’ limitations are no longer defined by the lack of desktop-class multitasking or access to external peripherals. A new class of iPadOS shortcomings looms large on the horizon: the iPad’s app sandboxing and the absence of an open filesystem have relegated it to acting as a remote control for agents.

I’ve been ruminating on this thought for some time. I, of course, am very satisfied with the improvements Apple brought to the iPadOS platform throughout the 26 cycle: between new windowing, local capture, a menu bar, and the improved Files app, I can get most of my old-school work done on the iPad Pro without begrudging the experience like I used to a few years ago. What I’ve noticed this year, however, is that iPadOS 26 was an update designed to address the pre-existing low-hanging fruit of quasi-desktop efficiency; by design – and we have Craig Federighi on the record saying as much – it wasn’t intended to reinvent the wheel in any meaningful way.

That would have been fine a few years ago. The problem is that the productivity wheel is literally being reinvented by other companies as we speak. And in an unsurprising turn of events, the Mac is at the forefront of that reinvention, while the iPad is being left behind once again.

I’m writing this as someone who likes to be on the bleeding edge of AI tools. Since the release of Claude Code in early 2025, I (and, realistically, millions of other nerds whose taste aligns with mine) have increasingly moved a lot of my research, automation, coding, and other tasks considered “productivity” to desktop agents. These are powered by the same underlying technology as chatbots, but they’re considerably more powerful: Claude Code and Cowork, Codex, Perplexity’s Personal Computer, and self-hosted agents like OpenClaw and Hermes can understand intent and perform long-running tasks on your computer. They can write code, stay on a task for hours (or even days) at a time, analyze the contents of your screen, and even use a computer on their own. To believe that these AI tools are still a fad and chatbots are useless is misinformation at this point.

As of June 2026, I spend most of my days with two apps constantly open on my M4 Pro MacBook Pro: Codex and Notion. I’m a huge fan of what OpenAI has accomplished with Codex for Mac; their all-in-one package that combines thread-based chats with skills, plugins, connectors, computer use, memories, and system-wide filesystem access has genuinely allowed me to produce content for my audience that I wouldn’t have even dreamed of years ago. Since I started working with Codex, I’ve released a major update to Apple Frames, two CLIs (with two more coming soon), Shortcuts Playground, and a brand new MacStories Shortcuts Archive. These are actual products that are used by thousands of people and are generating real revenue for MacStories. I’ve also created an entire suite of MacStories-only internal apps (now used by our whole team) and am currently in the process of researching my iOS 27 review, creating an app for Shortcuts Playground, and brainstorming a different product altogether for MCP.

I’m doing all of this on a Mac because the true Codex experience isn’t even “desktop-only”: it’s Mac-only.

Let me give you some examples. To make the original version of Shortcuts Playground, I had Codex with Computer Use scrape my entire library on the old MacStories Shortcuts Archive, download over 300 shortcuts, and learn my coding style. Once I had a plugin, I also had Codex create over 1,000 shortcuts on its own, install them in the Shortcuts app for Mac, and debug them visually to find issues. For the new Shortcuts Playground plugin and app, I’m going even further: Codex created over 3,500 shortcuts spanning the entire library of Shortcuts actions while simultaneously coordinating with other Codex threads – some of which are running on my Mac Studio – to build an app, train a local model for Core AI, and constantly iterate on the new harness behind the app. Meanwhile, I’m also spending time in Codex organizing sources for my iOS 27 review, managing my tasks with Reminders and my own RemCTL, and performing general research on any topic I think of. The net result of all this is that I’m shipping more things, making more money for MacStories, saving money thanks to our new internal tools, and – most importantly – learning a lot and having fun.

In all of this, the iPad’s role is to be, once again, an accessory to the Mac – and a rather expensive one at that. I wrote last year about iPadOS’ third-party app problem, and I still think all of it applies today. What’s different in 2026 is that these powerful agentic tools that are redefining coding and knowledge work, and which are centralizing productivity inside so-called “super apps”, aren’t coming to the iPad, but not for political or financial reasons: they’re Mac-only because only macOS is mature and open enough to support them.

In a funny twist of fate, Apple spent years trying to make iPadOS catch up to macOS on the surface, only for macOS’ underlying nature to unlock a new generation of apps that are rewriting the rules of modern software. No amount of windowing and menu bars can change the fact that neither Claude Cowork nor Codex will ever be possible on the current version of iPadOS. From an open filesystem that lets agents poke around anywhere to powerful Accessibility and Screen Recording APIs for developers to features like system-wide hotkeys, dictation, and true background processes, Apple’s oldest operating system is the one that feels the freshest (and the most powerful) in the AI industry today.

In fact, the Mac is so powerful and well-equipped for this new wave of desktop agents, it even yields an amazing experience when used in a “headless” setup with no display attached to it. This may have started as a trend because of OpenClaw, but six months later, I believe that a Mac mini with Codex running on it is the best bang for your buck if you’re building an always-on agentic setup based on a frontier model that can do just about anything you throw at it.

Which brings me to the iPad’s only silver lining in this space right now.

Most of my Codex tasks are running on my Mac Studio server, but I also use Codex on my MacBook Pro. Thanks to Codex’s support for remote connections, I can chat with threads running on the Mac Studio from the Codex app on a different machine, which is a fantastic feature. Alternatively, I can use Apple’s excellent (and, again, Mac-only) Screen Sharing app to log into my headless Mac and interact with macOS with superior performance and image quality to VNC. (I also use this HDMI 2.1 dummy plug to unlock 4K resolution when headless.) Coordinating Codex threads across different projects and machines feels like the sort of thing that shouldn’t be possible, yet here we are.

If the iPad is still relevant to me in this specific new way of working, it’s entirely because of the ChatGPT app and the fact that OpenAI cared enough to design a good remote experience for iPhone and iPad users. The Codex section inside ChatGPT is a solid product and getting better every week; it’s also the only app of this kind that lets you connect to multiple computers at once and manage threads across all of them. With Codex remote on iPad, I can continue my projects from the MacBook Pro or Mac Studio, pin specific threads, and keep an eye on all my agents working in the background. In general, it’s also a way to bridge functionalities that are missing from iPadOS. Without Codex remote, I wouldn’t be able to ask my agent to reschedule my reminders and turn some emails into tasks in the same workflow; I wouldn’t be able to tell my agent to go to the Apple Newsroom, find me a specific press release, extract all images from it, and upload them to our CDN.

Perhaps Siri AI will unlock similar capabilities (although I doubt to the degree of a frontier desktop agent), but it’ll still be limited to apps made by companies that decide to support App Intents. When I’m not using my Mac and I think of something I can’t do on the iPad these days, I instantly reach for Codex inside ChatGPT. I suspect this trend will only grow as more AI companies release similar remote experiences for iOS and iPadOS.

Here’s the issue, though: these are remote companion experiences. It’s great that they exist and that OpenAI cared enough to make them great, but they’re still no substitutes for the real Codex experience on a Mac. It’s ironic if you think about it, isn’t it? A headless Mac is still more flexible and powerful than an iPad hamstrung by the closed nature of its own OS and software gatekeeping.

If you’re among the five million people using Codex on a weekly basis and will be planning your next laptop purchase in a few months, perhaps these considerations will change the calculus for you. Especially in the face of price increases and RAM uncertainty, would you be better served by spending $1,499 on a hybrid laptop that gets work done the old way with 256 GB of storage, or $1,499 on a computer where AI is a first-class citizen with 24 GB of RAM and double the storage? If we accept that power users’ priorities and workflows will be dramatically changing in the near future (if they haven’t already!), all prices being equal, which OS is best positioned for the future?

Of course, I like using both an iPad Pro and a Mac for different tasks. But let’s face it; in this day and age – and especially after last week – not everybody has the budget for two computers that have some overlap between them. Sure, I could argue that an iPad Pro + a headless Mac mini is an insane combo to get the best of both worlds these days: the nimble and delightful nature of iPadOS and the freedom to experiment with AI on a Mac. You can install apps like the latest Jump Desktop beta or the great new screen sharing app Mirage on the iPad and use your Mac mini almost as if it were connected to the iPad’s display. Set up Tailscale on your network, and the Mac’s power can be with you at all times. But that’s a lot of money, and a lot of setup, to achieve an approximation of what a single MacBook Air can handle with more memory, more storage, and a couple of Mac apps.

I’m sure that Apple is aware of the changing nature of this landscape, but in a similar vein to chatbots and Siri, perhaps they were unprepared for the tide of agents to accelerate so quickly. If the idea of putting macOS on an iPad Pro continues to be a non-starter at Apple, and assuming agent-based coding and knowledge work are here to stay, what should the company do to make sure the iPad doesn’t get left behind again? Is a sandboxed Terminal for iPad backed by a dedicated “Agent Framework” the solution? Is working with other companies to build more “remote companion” apps the way forward?

Or, perhaps more obviously: how long until Siri AI can also become a capable agent, connected to App Intents, on par with competing frontier agents?

Until, and if, that happens, the iPad will once again play the role of sidekick to macOS.

When it comes to the bleeding edge of AI and pushing the frontier of agents forward, there’s nothing like the Mac.

It’s beta season, which is as good an excuse as any to mix up our setups with new gadgets and apps. Between travel, preparing for our OS review research and writing sprint, and revisiting Apple system apps, the past few months have resulted in changes to our setups.

Summer travel means batteries to charge our gear and chargers to charge those batteries. It’s a trend that was clearly on our minds as Federico and I planned our trips to WWDC. Federico added a 20,100mAh Anker Prime Power Bank and an Anker Nano Power Bank, going both big and small for his long flight to California, while I added a beefy Belkin UltraCharge Pro battery with a 25,000mAh capacity and a Belkin USB-C 140W Y Cable. I also added a compact Belkin GaN 70W Charging Station for charging on my balcony over the summer and an Anker Nano Power Strip with Desk Clamp, which has been a great way to keep outlets and USB ports within reach but out of the way.

The remainder of our setups are an eclectic mix of gadgets. Federico fell in love with the Legion Go 2 all over again, swapped his iPhone Air for an iPhone 17 Pro, and added a pair of AirPods Max 2 to his gear.

The biggest change to my setup is my most recent: the reMarkable Paper Pure, an e-ink note-taking and reading tablet that I plan to review soon. Preorders just started shipping, and reMarkable sent me a review unit that I plan to incorporate into my research setup through a series of scripts and native apps. The apps will allow me to send articles, PDFs, writing drafts, and more to the Paper Pure and extract handwritten notes as text back into my research setup. It’s been a lot of fun to build and will be the subject of an upcoming Mac Hacks story for Club MacStories members.

On the fun side of things, I’ve been enjoying the Anbernic RG Rotate Android handheld a lot. It has a screen that rotates around one corner to reveal gaming controls. The device, which we covered in a couple of recent NPC episodes, has been a lot of fun to take with me everywhere I go for a quick fix of my favorite retro games. I also added the Mobapad M12 HD to my extensive collection of controllers. I only received the M12 HD a couple of days ago, but it was immediately more comfortable to use than the Switch 2 Joy-Con it replaces.

That’s a wrap for this installment of the Setups update. Be sure to keep an eye on the MacStories Deals Bluesky and Mastodon accounts. Amazon Prime Day is next week, and there are already some great deals on our favorite gear linked on the Setups page, so browse around and get in touch on social media if you have any questions about our setups.

Apple today increased the price of Apple Music and some Apple One subscription bundles. An individual ‌Apple Music‌ subscription is now $1 more expensive in the United States, going from $10.99 to $11.99 per month.


Pricing on the ‌Apple Music‌ Family plan increased by $3, increasing from $16.99 to $19.99. Student pricing is up $1, with the plan now priced at $6.99.

The price of the individual ‌Apple One‌ plan hasn't changed, but the Family and Premier plans have gone up $2. The Family plan is now $27.95 per month and the Premier plan is $39.95 per month. Apple has also raised prices in Brazil.

In a statement to Music Business Worldwide, Apple said it was raising prices due to the "result of rising licensing costs." ‌Apple Music‌ prices were last increased in October 2022.
This article, "Apple Music Now Costs $11.99 as Apple Increases Subscription Prices" first appeared on MacRumors.com

Discuss this article in our forums

For this week's giveaway, we've teamed up with Satechi to offer MacRumors readers a chance to win a MacBook Neo and a set of color-matched MacBook Neo accessories to go along with it. A second-place winner will also get a set of Satechi's new accessories.


The MacBook Neo collection includes the $45 OntheGo 5-in–1 Multiport Adapter, the $45 USB-C Snap Hub, and the $30 Slim EX Wireless Mouse. All of the accessories come in Citrus, Blush, Indigo, and Silver to match the ‌MacBook Neo‌ color options.


Satechi's OntheGo 5-in–1 Multiport Adapter plugs into the USB-C port on the ‌MacBook Neo‌ and adds five additional ports. It has two USB-C ports, a 5Gb/s USB-A port, an HDMI port that supports up to a 4K 60Hz external display, and an SD card slot. One of the USB-C ports offers 60W passthrough charging and the other supports 5Gb/s data transfer speeds.

An included magnet lets it attach to a MagSafe iPhone or to the lid of the MacBook with a 3M adhesive magnet mount ring. The matching built-in USB-C cable is braided for durability, and it rolls up into the adapter, making it a compact travel option. It measures 2.57 inches in diameter and it's 0.87 inches thick.


Satechi's USB-C Snap Hub also adds ports, but it has a different design. It plugs into both of the ‌MacBook Neo‌ USB-C ports, expanding them into six connections. There are two USB-C ports, an HDMI port that supports a 4K 60Hz display, a 5Gb/s USB-A port, an SD card slot, and a microSD card slot. One USB-C port supports 45W passthrough charging, and the other offers 5Gb/s data transfer speeds.


The hub fits flush to the side of the ‌MacBook Neo‌, and it has a dual-material design. The top is an anodized aluminum that matches the ‌MacBook Neo‌'s body, while the base is a soft-touch ABS plastic meant to match the keyboard finish.


Satechi's Slim EX Wireless Mouse completes the collection, and it's made from color-matched aluminum. The mouse supports two Bluetooth channels and a 2.4GHz wireless connection, and it is able to work across macOS, iPadOS, Windows, and Android. It features quiet click switches and a precision-machined scroll wheel, plus there is a USB-C rechargeable, user-replaceable battery for longevity.


We have a ‌MacBook Neo‌ and a Satechi accessory set to go along with it for one lucky MacRumors reader, and a second winner will get the ‌MacBook Neo‌ accessory kit. To enter to win, use the widget below and enter an email address. Email addresses will be used solely for contact purposes to reach the winner(s) and send the prize(s). You can earn additional entries by subscribing to our weekly newsletter, subscribing to our YouTube channel, following us on Twitter, following us on Instagram, following us on Threads, or visiting the MacRumors Facebook page.

Due to the complexities of international laws regarding giveaways, only U.S. residents who are 18 years or older, UK residents who are 18 years or older, and Canadian residents who have reached the age of majority in their province or territory are eligible to enter. All federal, state, provincial, and/or local taxes, fees, and surcharges are the sole responsibility of the prize winner. To offer feedback or get more information on the giveaway restrictions, please refer to our Site Feedback section, as that is where discussion of the rules will be redirected.

The contest will run from today (July 17) at 9:00 a.m. Pacific Time through 9:00 a.m. Pacific Time on July 24. The winner will be chosen randomly on or shortly after July 24 and will be contacted by email. The winner will have 48 hours to respond and provide a shipping address before a new winner is chosen.
This article, "MacRumors Giveaway: Win a MacBook Neo Plus Color-Matched Satechi Accessories" first appeared on MacRumors.com

Discuss this article in our forums

This week's episode of The MacRumors Show looks ahead to the 20th anniversary iPhone, the radically redesigned model that Apple is expected to launch in 2027.



Apple's plans for the device's name remain unclear. The company skipped "iPhone 9" and moved straight to the iPhone X for the device's 10th anniversary in 2017, and it is widely expected to skip "iPhone 19" in the same way. Rumors have referred to the 2027 models as both the "iPhone 20" and the "iPhone XX" as placeholder names, and it is still possible that they will sit above the iPhone 18 Pro and 18 Pro Max as a separate, higher-tier directly, even though they are more likely to replace them as usual. Apple has reset iPhone branding before with the iPhone Air, whose successor is expected to be the iPhone Air 2.

The 2027 iPhone is rumored to be the biggest redesign since the iPhone X. Apple is reportedly aiming for a near bezel-less design with curved glass that wraps around all four edges and a return to a glass back, in line with the single slab of glass that former design chief Jony Ive long described as a goal. The frame is said to be a thin polished band, potentially in a material other than the aluminum used on Apple's straight-edged models, with the display curving onto the sides rather than following one consistent curve.

Displays that curve down the sides can be prone to accidental touches, an issue seen on earlier Android handsets with waterfall edges, though Apple is expected to engineer the device to work with a case. The extent of the curvature, and how far the display appears to refract at the edges, is not yet clear.

Apple reportedly wants a front with no cutouts, but some of the under-display technology is unlikely to be ready in time, meaning some form of front-facing cutout is expected to persist. Current reporting points to a gradually shrinking Dynamic Island, Face ID components moving beneath the panel, and an under-display camera arriving last, since image quality still degrades when a lens sits behind the display.

Apple is also rumored to be revisiting solid-state haptic buttons, reviving the "Project Bongo" effort that reached prototype hardware years ago before being shelved. Reports have cited several potential motivations, including a cleaner frame with no moving parts, a reduction in the mechanical button failures that account for many AppleCare repairs, and additional internal space for a larger battery or additional haptic engine.

Apple is reported to be developing a custom image sensor that would replace the Sony sensors currently used across the iPhone lineup, following the company's move to bring its silicon, modem, Wi-Fi, and Bluetooth chips in-house. The rear camera plateau is likely to remain, owing to the space required by the folded optics used for the telephoto lens.

The anniversary models are expected to share a second-generation 2-nanometer A21 chip, along with efficiency gains and a newer Apple modem. A 6,000mAh battery has appeared in some rumors, though it is unclear whether that figure is based on supply chain information.

Reverse wireless charging appeared in the same report and would let the iPhone top up accessories such as AirPods or an Apple Watch. The underlying hardware is already present, since iPhones can charge a MagSafe battery pack through their wireless coil, but Apple has never enabled the capability for other devices, a feature Samsung has offered on its phones for several years. Its viability on the anniversary model may depend on the larger battery and efficiency gains rumored for the device, given how much charge reverse wireless charging draws from the handset itself.

This year's ‌iPhone 18 Pro‌ models are rumored to be a more modest update, with the larger redesign reserved for the 20th anniversary model. It is expected to arrive in the fall of 2027, following the iPhone 18, iPhone 18e, and ‌iPhone Air‌ 2 in the spring. The MacRumors Show has its own YouTube channel, so make sure you're subscribed to keep up with new episodes and clips.



You can also listen to ‌The MacRumors Show‌ on Apple Podcasts, Spotify, Overcast, or other podcast apps. You can also copy our RSS feed directly into your player.



If you haven't already listened to the previous episode of The MacRumors Show, catch up to hear our discussion about the future of Apple's increasingly tangled high-end MacBook lineup, including the entry-level MacBook Pro and the rumored "MacBook Ultra."

Subscribe to ‌The MacRumors Show‌ for new episodes every week, where we discuss some of the topical news breaking here on MacRumors, often joined by interesting guests such as Kayci Lacob, Kevin Nether, John Gruber, Mark Gurman, Jon Prosser, Luke Miani, Matthew Cassinelli, Brian Tong, Quinn Nelson, Jared Nelson, Eli Hodapp, Mike Bell, Sara Dietschy, iJustine, Jon Rettinger, Andru Edwards, Arnold Kim, Ben Sullins, Marcus Kane, Christopher Lawley, Frank McShan, David Lewis, Tyler Stalman, Sam Kohl, Federico Viticci, Thomas Frank, Jonathan Morrison, Ross Young, Ian Zelbo, and Rene Ritchie.

‌The MacRumors Show‌ is on X @MacRumorsShow, so be sure to give us a follow to keep up with the podcast. You can also email us at podcast@macrumors.com or head over to The MacRumors Show forum thread. Remember to rate and review the podcast, and let us know what subjects and guests you would like to see in the future.
This article, "The MacRumors Show: iPhone XX? Next Year's Major Upgrades Will Change Everything" first appeared on MacRumors.com

Discuss this article in our forums

Some of the best Apple-related discounts this week include $100 off the Apple Watch Series 11, $150 off the M5 MacBook Air, and up to $500 off the 2026 MacBook Pro. You'll also find great deals on Anker accessories available on Amazon right now.

Note: MacRumors is an affiliate partner with some of these vendors. When you click a link and make a purchase, we may receive a small payment, which helps us keep the site running.

MacBook Pro

• What's the deal? Take up to $500 off MacBook Pro


• Where can I get it? Amazon


• Where can I find the original deal? Right here

Amazon's prices on the 2026 MacBook Pro have now joined in on Apple's recent price hikes, meaning we're no longer tracking pre-hike markdowns on these devices. However, there are still notable sales to be found if you're shopping for a MacBook Pro this month, with up to $500 off new prices available right now on Amazon.

Apple Watch Series 11

• What's the deal? Take $100 off Apple Watch Series 11


• Where can I get it? Amazon


• Where can I find the original deal? Right here

Amazon this week has low prices on the Apple Watch Series 11, with $100 discounts across numerous models of the smartwatch. This sale includes a handful of 42mm and 46mm GPS aluminum models, but cellular devices are a bit more rare this time around.

MacBook Air

• What's the deal? Take $150 off M5 MacBook Air


• Where can I get it? Amazon


• Where can I find the original deal? Right here

Amazon is taking $150 off multiple models of the M5 MacBook Air, focused mainly on 13-inch models this time around. These are some of the lowest prices we've seen on the notebooks in the wake of Apple's price hikes last month.

Anker

• What's the deal? Save on Anker accessories


• Where can I get it? Amazon


• Where can I find the original deal? Right here

Anker's popular Prime 3-in-1 Wireless Charging Station has dropped to $99.74 on Amazon, down from $149.99. This is one of Anker's newest accessories, and Amazon's sale today is a match of the all-time low price that we last tracked during Prime Day. There are plenty of other Anker accessories on sale this week, which you can find in our original post.

If you're on the hunt for more discounts, be sure to visit our Apple Deals roundup where we recap the best Apple-related bargains of the past week.

---

This article, "Apple Watch Series 11 Drops to $299, MacBook Pro Up to $500 Off in Latest Apple Deals" first appeared on MacRumors.com

Discuss this article in our forums

Named Beta Pictoris d, the newly-discovered world is 100 times fainter than Beta Pictoris b -- the first planet discovered around the A5-type star Beta Pictoris -- and is among the lightest exoplanets ever to be imaged from the ground.

The post Astronomers Discover and Directly Image Third Planet in Beta Pictoris System appeared first on Sci.News: Breaking Science News.

A new genus and species of lambeosaurine hadrosaurid dinosaur has been identified in southern Alberta, Canada, dating back 77 million years to the Campanian age of the Cretaceous period.

The post New Crested Dinosaur Species Identified in Canada appeared first on Sci.News: Breaking Science News.

Paleontologists in Uruguay have identified a new species of aeolosaurine titanosaur from a pair of remarkably well-preserved tailbones unearthed in the 1980s near the Uruguay River.

The post Paleontologists Discover New Species of Titanosaur in Uruguay appeared first on Sci.News: Breaking Science News.

Using the Yebes 40-m and IRAM 30-m radio telescopes, astronomers have discovered erythrulose, a four-carbon sugar commonly found in raspberries and sunless tanning cosmetics, in the molecular cloud G+0.693-0.027.

The post Astronomers Detect Sugar in Interstellar Space for First Time appeared first on Sci.News: Breaking Science News.

For as long as readers have pored over Homer’s Odyssey they have pictured Ithaca, the homeland Odysseus fights for ten years to reach, as an island unto itself.

The post Was Odysseus’ Ithaca Never an Island? Scholars Challenge Centuries-Old Assumption appeared first on Sci.News: Breaking Science News.

Today, lepidosaurs -- the reptile group that includes lizards, snakes and New Zealand’s tuatara -- are among the most diverse vertebrates on Earth, but their earliest evolutionary history remains poorly understood.

The post Tiny Triassic Reptile Sheds Light on Early Lizard Evolution appeared first on Sci.News: Breaking Science News.

Paleontologists working in northeastern Thailand have identified a new species of mamenchisaurid sauropod dinosaur, offering fresh evidence that a group of giant sauropods once thought to be almost exclusively East Asian also roamed mainland Southeast Asia.

The post New Species of Long-Necked Dinosaur Identified in Thailand appeared first on Sci.News: Breaking Science News.

A new genus and species of four-winged pennaraptoran dinosaur from the Early Cretaceous of northern China is adding another twist to the story of how birds evolved from their dinosaur ancestors.

The post New Feathered Dinosaur from China Had Peacock-Like Tail appeared first on Sci.News: Breaking Science News.

The interstellar comet 3I/ATLAS carries a chemical fingerprint unlike anything in our Solar System, and it may have formed 10 to 12 billion years ago, before our Sun even existed, according to two papers published in the journal Nature.

The post Interstellar Comet 3I/ATLAS Formed Up To 12 Billion Years Ago, New Observations Suggest appeared first on Sci.News: Breaking Science News.