CUPERTINO, California—Apple announced earlier this year that its long-delayed Siri upgrade, announced this week as "Siri AI," would use Google's Gemini language models. What the company confirmed at its Worldwide Developers Conference yesterday was that it also ran on Nvidia hardware installed in Google servers. But the company is still making the same privacy promises it did before, when all of its AI models were either running locally on your devices or on Apple-controlled server hardware.

For years, Apple has touted user privacy as a key benefit of using its platforms. Its cloud services use encryption that's intended to keep other people—including Apple employees—from being able to gain access to it. And the company has long advertised its use of on-device processing for things like scanning images, keeping as much data as possible from leaving your device in the first place.

But with Apple Intelligence, Apple has run up against the limits of its own hardware. The kinds of language and reasoning models that can run locally on an iPhone or Mac are relatively small, limiting their capabilities and accuracy. Apple's Private Cloud Compute system was a partial solution but relied on Apple's own server hardware; to get the kind of capacity it would need to support Siri AI, Apple would have had to commit to a huge data center buildout that it has so far avoided.

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As Apple announced last year, this year's macOS release will end support for Intel Macs. The macOS 27 Golden Gate release will require a Mac with an Apple Silicon chip inside, including the original M1 that launched in the MacBook Air, MacBook Pro, and Mac mini back in late 2020.

Intel Macs running macOS 26 Tahoe can expect security and Safari patches for about two more years after the release of macOS 27 Golden Gate. Macs running macOS 15 Sequoia will receive one more year of updates. Apple Silicon Macs will still be able to run Intel Mac apps via the Rosetta 2 compatibility layer in macOS 27, but future releases will begin to limit the technology (Apple has said it will mainly be used to support older games that still use Intel code).

This change has been a long time coming, and every new macOS release has left a longer and longer list of Intel Macs behind. But many Mac owners who purchased late-model Intel machines in 2019 and 2020 could still run the latest version of the operating system, and third-party utilities like the OpenCore Legacy Patcher helped more adventurous Mac owners use their unsupported hardware a bit longer.

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If you're using older iPhone or iPad hardware and you're hoping to keep running Apple's latest operating systems, this year's releases bring mostly good news. The iOS 27 update will run on all iPhones that can run iOS 26, all the way back to the iPhone 11 and second-generation iPhone SE. The iPadOS 27 update is slightly less generous, dropping support for the 3rd-generation iPad Air, 8th-generation iPad, and 5th-generation iPad mini (all of these devices used an older A12 Bionic chip; supported devices now use an A13 or better).

Apple says owners of older devices should see performance improvements in iOS 27, thanks in part to an updated CPU scheduler. This scheduler was apparently already included with newer iPhones but has been ported back to older devices with this release.

But many of the new features Apple mentioned require support for Apple Intelligence, which remains confined to newer devices with at least 8GB of RAM. Apple Intelligence still requires an iPhone 15 Pro or newer, an iPhone 16 or newer, or an iPhone Air. On the iPad, support requires an iPad Air or iPad Pro with an M1 or newer.

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Apple has taken the wraps off of its next-generation operating system updates at its Worldwide Developers Conference today, including iOS 27, iPadOS 27, and macOS 27 Golden Gate. And while the long-awaited Siri AI update is the headliner, Apple also emphasized its efforts to optimize its software, improving its performance and reliability.

For starters, the company is continuing to refine the Liquid Glass design language that it introduced last year. A slider in the Settings will allow users fine-grained control over the translucency of the Liquid Glass effect, ranging from maximally transparent and glassy to fully tinted. Last year's redesigned icons are also being re-redesigned with more glass layers, which Apple says will make them sharper and more distinctive.

On macOS, Apple has also changed the way app toolbars and sidebars work, making toolbars more distinct, making the contents of sidebars extend all the way to the edge of the window, and reintroducing color to sidebar icons. Mac windows are also getting a "tighter corner radius," to address complaints about the way window resizing works in macOS 26 Tahoe.

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At some point during the fog of 2021 or 2022, I noticed that my son's preferred brand of fruit snacks had switched from including 0.9 ounces per pouch to 0.8 ounces per pouch. Most shrinkflation is meant to fly under the radar, but in this case, I just happened to notice it. It felt bad! It's tangible evidence that your money is not going as far as it did in the very recent past.

A little over a year ago, AMD launched the Radeon RX 9070 for a suggested retail price of $549. This month, it's launching the similarly named Radeon RX 9070 GRE for a suggested retail price of $549. This new card (actually the US launch of a GPU that's been available in China for a year or so) has 85 percent as many GPU cores, 75 percent as much memory, and 66 percent as much memory bandwidth as the regular RX 9070.

We'll evaluate the RX 9070 GRE in the context of the current GPU market, where prices have been edging upward due to the same AI-driven RAM shortages and price hikes that have made PC building and buying such a miserable experience for the last few months. But it's hard not to be a little upset about such a clear example of GPU shrinkflation—the same money for a markedly inferior product.

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