
iOS 18.6.2: Surprise New iPhone Update Coming Any Minute Now, Report Claims
The last update, which was a surprise in itself, was iOS 18.6.1. Its unexpected nature came from the fact that this late in the cycle, updates are rare and because it had one purpose, to resurrect the blood oxygen tracking feature which U.S.-sold Apple Watches have lacked for 18 months. You can read a full analysis of what happened here and how to use the new blood oxygen feature here.
Now, a leaker with a private account but a solid track record when it comes to iOS versions, has said that the next update, possibly called iOS 18.6.2, is on its way.
The leak was picked up by Joe Rossignol at MacRumors. 'Specifically, the leaker said they have seen evidence of iOS 18.6.2 with a build number of 22G100. However, in a private message, they said it is possible that the update will simply end up being a revised version of iOS 18.6.1,' Rossignol reported.
This could mean that the release last week hasn't quite worked as it should for some Apple Watch users, or that extra data is coming.
I have heard that some users have found the blood oxygen app has been behaving differently in the days since it's been installed, so it could be related to that.
As to when we can expect to see this update, it could be as soon as today (Monday, Aug. 18) or later this week.
For reference, the build number of the current version of iOS 18.6.1 is 22G90 and, as mentioned above, the rumored next version will have a build number of 22G100.
One possibility is that it will only show up for some iPhones, rather than all.
I'll update this post as soon as it is released, so please check back.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles

Yahoo
12 minutes ago
- Yahoo
Thoma Bravo nearing deal to acquire software firm Dayforce, source says
(Reuters) -Private equity firm Thoma Bravo is nearing a deal to acquire HR software company Dayforce, a source familiar with the matter told Reuters on Monday. Shares of Dayforce, which has seen its stock lose more than 27% of its value so far this year, were up about 29% in late-afternoon trading. Dayforce had a market value of $8.44 billion as of Friday's closing price. Dayforce offers a cloud-based human capital management platform that includes payroll, workforce management, benefits, talent management, compliance and analytics. Thoma Bravo has been actively pursuing software acquisitions this year, betting on the build-out of artificial intelligence and the resilience of recurring revenue in a volatile economy. A deal could be announced as early as this week or possibly next week, the source said. Thoma Bravo and Dayforce did not immediately respond to requests for comment. Bloomberg News, which first reported the potential deal on Sunday, said that while the talks were advanced, they could still be delayed or falter. Dayforce beat Wall Street expectations for second-quarter revenue and raised its annual revenue forecast last week, as more enterprises increase use of AI and cloud-based platforms to run day-to-day operations. Sign in to access your portfolio


Tom's Guide
13 minutes ago
- Tom's Guide
Mac Mini with M5 and M5 Pro just tipped to launch this year — here's what we know
A new report from AppleInsider claims Apple is working on an upgraded Mac mini that would feature an M5 or M5 Pro chipset. The latest leak is a follow-up to a July rumor that revealed the entire forthcoming Mac lineup through 2026. The roadmap revealed a Mac mini codenamed J837s, set to release next year. However, this new leak suggests the upgraded tiny computer might launch before the end of 2025, likely in October when Apple typically debuts its next-generation Macs. The currently available M4 Pro Mac mini had the codename J773s, with the M4 Mac Mini dubbed J773g, which lends credence to the assumption that the J837s is the M5 Pro Mac Mini. The Mac mini M4 introduced a huge redesign with plenty of ports on both the front and back of the device, more memory and a smaller footprint compared to the 2023 M2 Mac mini. It's our pick for the best mini PC, especially if you prefer Apple's OS over Windows. Coupled with the M4 chipset, it's a powerhouse, even with its controversial power button placement. That glaring flaw is fixable with some fun and clever solutions. According to AppleInsiders, the M5 mini likely won't get any design changes at the level of the M4 Mac Mini. Instead, all of the upgrades will be internal, though beyond the new chip, we're not sure what other upgrades the device is slated to receive. As for the M5 chip, it's supposedly being manufactured using TSMC's 3nm process and is meant to 'enhance artificial intelligence performance.' We do know that any new Macs will launch with macOS 26 Tahoe. Tahoe adds new Apple Intelligence features, including a better Image Playground, better Writing Tools and access to an improved Genmoji. Get instant access to breaking news, the hottest reviews, great deals and helpful tips. Apple's 'liquid glass' design is coming to Macs, bringing the cross-platform crystalline liquidity to Macs, meaning more transparent menu bars and customizable menus. We've tested Tahoe in beta, and it may be our favorite macOS update in years. The M5 and M5 Pro Mac mini are unlikely to be the only new Macs Apple launches this year. Based on the previous roadmap, we should also see a MacBook Pro M5 and M5 Max, a new Mac Pro. Follow Tom's Guide on Google News to get our up-to-date news, how-tos, and reviews in your feeds. Make sure to click the Follow button.


Fast Company
13 minutes ago
- Fast Company
Philips CEO Jeff DiLullo on how AI is changing healthcare today
AI is quietly reshaping the efficiency, power, and potential of U.S. healthcare, even as government health policy and spending drastically shift. Philips, the legacy electronics manufacturer turned medtech provider, is leading the AI healthcare revolution, streamlining and accelerating the workflow of patient care. Philips North America CEO Jeff DiLullo shares how technology can have the biggest impact on health outcomes today—from radiology scans to cancer diagnoses, and what it takes for leaders in any industry to rethink the way we work to best meet the moment. This is an abridged transcript of an interview from Rapid Response, hosted by the former editor-in-chief of Fast Company Bob Safian. From the team behind the Masters of Scale podcast, Rapid Response features candid conversations with today's top business leaders navigating real-time challenges. Subscribe to Rapid Response wherever you get your podcasts to ensure you never miss an episode. AI seems to be changing everything. There's a lot of talk about it, but in some businesses, I feel like the conversation about it is ahead of the actual implementation or the impact, and I'm curious how true that might be in medtech. How is AI impacting things now, today, versus what you think it can do in the future? If you remember, we released the Future of Health Index. One of the things that we realized is that AI, in some of these compartments I'm talking about, is quite mature. FDA cleared, very safe for clinical use. Other areas, it's more experimental. But the trust factor of the use of that AI is actually quite nascent. It's the biggest barrier right now to larger scale deployment. Yeah. That health index that you mentioned, the 2025 Future Health Index, I mean, there was this sort of trust gap in it, right? That something like 60, 65% of clinicians trust AI, but only about a third of patients or certainly older patients do. How do you bridge that gap? Is it Philips's job to bridge that gap? Whose job is it? So I have the benefit of having two Gen Zs and a millennial, they are digitally fluid. They don't worry at all about the AI models that are coming on the other side of this because they're used to it and they understand it. Older patients, not so much. The magic is always the healthcare practitioner that's directly interfacing with the customers or the patients. If they believe what they're doing, if they know it's credible, if they're using it to augment their analysis or their diagnostics, not replacing it, I think ultimately we'll see an uplift. It's our job to provide valid FDA-cleared, very good diagnostic capability leveraging AI. But if our doctors and nurses believe what we're doing and they see the value in increasing their time with patients and also a little de-stressing, we think it's going to really pick up in a parabolic way in the next few years, at least in health. I can understand and see how AI can quickly help some of the back office functionality in healthcare, but you're talking about for practitioners, right? How does that practically work today? So I'm going to give you, let's talk radiology. It's the biggest field right now, diagnostic, right? The earlier the diagnostic, the better the outcome most likely. And when I think of a radiologist, I have to wait a month and a half. I'm in a pretty nice part of Vanderbilt University area, like a lot of health tech around me in Nashville, but I've got to wait over a month to get a scan. So in radiology, we start with the box or the design, right? I have an MRI that is highly efficient. I can move it around, I can put it on a truck. But today, I can get a scan done in half or even a third of the time. The AI built into the system software makes it much faster. Just a few months ago, I had a scan that took only 20 minutes—whereas a couple of years ago, the same scan would have taken about 45 minutes. The smart speed that we have on the system actually compresses the scanning time. It doesn't fill in the blanks, it removes the noise. You actually get a better scan in a shorter time. If you're a radiologist having to do 12 or 15 studies a day, but you can do 20 studies a day, I get more patients through, I drive more reimbursement, it's better for the hospital, it's better for patient care. Then I take it into workflow, and today I can pinpoint things that are happening in that digital image and send it to a radiologist and say, 'You should look here,' in just very simple speak. It's very complicated stuff, but the AI is already mainstream today where we can actually pinpoint areas for radiologists to look at and make a determination. I can digitize the whole process today with digital pathology. And I can have a finding where somebody's waiting, do I have cancer or not? I can do this in hours now because it's all digital. And that kind of workflow and orchestration is a game changer. And the issue of AI hallucinations, which show up with some of the generative AI things, does that apply to healthcare? Are there different kinds of safeguards? Because I guess there's a human who's checking. There's so many things today, like smart speed I just talked about, being able to run that radiology workflow to compress the time of diagnostics, run the tumor boards in hours, on-demand meetings like you and I would on Zoom or teams, all of that is happening today, but not happening at the pace it could. My point is, go do that right now. Every health system, go do that. As you start to unpack these more generative AI models, I think there's real reason to be cautious and make sure we have the right controls and the governance on them, but not experimenting in them also is not an option. We kind of have to. But we see leading institutions, MGB, Stanford, Mount Sinai in New York, we see them really working with population health data to really try to train models on very specific and even broad use cases. There's so much to do right now. In other words, you don't have to go all the way out to the silver bullet of, we're going to live forever or we're going to solve every health problem. You can make the system we have right now more efficient and more effective today. Bob, when you first drove a car, was the first thing you did to go to the Autobahn? Probably not. There's so much to do in the neighborhood. There's so much to do in my town that I can really get good at what we're doing and drive productivity at scale. You need to have the innovation and the creativity to get us to the next place, but 80% of it we can do today. That is just game-changing in terms of how we deliver today, and that's what we think is really the next opportunity here for healthcare. And I think that'll happen with what's mature in AI and virtual capabilities in the next few years because the need is so great.