Archive for August 6, 2026

Thursday, August 6, 2026

Snow Leopard Lore

Ruben Schade (Hacker News):

This idea is so powerful—and so longed for—that it’s escaped containment among the Apple crowd. I’ve seen everything from Linux distro to phone updates referred to as Snow Leopard releases, when their vendors cite stability and bug fixes over new features. Likewise, people plead with their vendors for a Snow Leopard release when they feel quality has slipped.

The reality was a bit different. As I wrote at the time[…]

People conflate a bunch of different ideas when talking about Snow Leopard:

LegNeato:

Snow Leopard’s stated goal internally was reducing bugs and increasing quality. That is a fact, not marketing. I am not sure why people on the internet don’t believe that, but I was there. If you wanted to ship a feature you had to get explicit approval from leadership and the bar was high. In normal feature releases it operated bottom up “here is what we are planning to ship” and in Snow Leopard it was top down “can we ship this?”.

AFAIK Snow Leopard was the first release of this kind (the first release I worked on was Jaguar or Puma), and was a direct response to taking 8 software updates to stabilize 10.5 and the severity of the bugs found during that cycle and the resulting bad press. Leopard was a HUGE feature release and with it came tons of (bad) bugs.

[…]

Testing was basically engineers, internal QA, some strategic partners like Adobe and MS, and the Apple Seed program (which was tiny). There was very little automated testing. Apple employees are not representative of the population and QA coverage is never very complete. And we sometimes held back features from seed releases when we were worried about leaks, so it wasn’t even the complete OS that was being tested.

Software updates are always needed, though the issues they fix became less severe over time due to larger seeds (aka betas), recovery partitions, and better / more modern development practices. But I can tell you FOR A FACT that Snow Leopard had fewer major bugs over its lifetime, coalesced very quickly, and was extremely solid when Lion was released.

Ken Ferry:

I agree with you that Snow Leopard was billed as no USER VISIBLE features. But people did NOT just fix niggling bugs, it was an architecturally huge release. E.g., it introduced GCD. And unless I’m confusing the year, it rewrote the Mail backend to use it and mail hasn’t had reliable search since.

My memory is that quality was so low that we pushed back the release. With the extra time we did manage to fix enough bugs that it was well received. But internally it was more destabilizing than most releases due to the amount of architectural churn.

giantrobot:

Yeah as someone else that worked on Snow Leopard I found this article and ones like it a bit silly. They’re a lot like the old “debug code” posts on Mac forums back in the day trying to explain why Puma was slow (no, you’ve got a G3 and an unaccelerated video card).

Tiger and Leopard were sprawling releases. Tiger covered 32-bit and 64-bit PowerPC, then 32-bit x86, then 64-bit x86 Macs. Tiger was also what I guess I’d say is the first “modern” OSX release, with subsystems like launchd and a more mature OpenDirectory replacing older NeXT subsystems. Leopard in my experience was a train wreck. It shipped a lot of new features, both user facing and back end frameworks, but the development was seriously impacted from teams losing engineers to iOS. Leopard had features planned assuming 100% availability of SWE’s resources but ended up with 40-50% of SWE’s resources (made up numbers based on my feels at the time). Many new frameworks in Leopard did not land or get stable until very late in the development cycle which meant everything downstream had to scramble right before GM. It was 100% the case that Leopard was not really stable until 10.5.8 and still sucked IMHO.

There was a lot of clean-up needed in MacOS and that was Snow Leopard. It was not a perfect release but 10.6.3 (the second disc pressing IIRC) and onward were very stable. Dropping PowerPC support really helped focus QA since they didn’t need the massive array of test hardware Tiger and Leopard required. You also didn’t need to wrangle builds for four architectures, including multiple compilers as a few libraries (if not whole frameworks) were compiled with ICC on x86 for performance reasons. The “Snow Leopard wasn’t that great” meme is weird. I’m sure it had its problems like every OSX release did. Unfortunately most OSX releases broke someone’s workflow. Snow Leopard ware no different. But it was always billed internally as a “no new features” release and those features that it did ship faced a very high bar to get in the release. I definitely look back on Snow Leopard as a high water mark for macOS quality in terms of a release.

Previously:

Apple to Build Universal Clipboard for Windows

Juli Clover:

Apple is working on a new feature that will support cross-device copy and paste between iOS devices and Windows PCs.

Microsoft asked for the feature using Apple’s EU interoperability request system for developers, which Apple implemented to comply with the Digital Markets Act. Apple began evaluating the request in March, and on June 26, proposed a project plan.

[…]

Apple proposed a solution that would let an iPhone share and import items from the pasteboard to a paired accessory, like a Windows PC. Apple plans to use a solution similar to the Accessory Notifications option it added for third-party wearables in the EU in iOS 26.5. Users would need to give a paired device one-time permission to paste content from an iPhone.

[…]

Apple says introducing cross-device copy and paste is a significant engineering effort, with work expected to be complete by fall 2027.

I wonder whether Apple will restrict this to the EU.

Previously:

Illinois Photos.app People Album Lawsuit

Anurag Chawake:

Apple faces a $32.5 billion lawsuit over how its Photos app scans and stores faces. A federal judge cleared the case to proceed as a class action late last month, allowing millions of Illinois iPhone owners to join.

The case has been years in the making, and Apple has fought to shut it down at nearly every turn. Now it heads back to the court, with the company’s privacy practices on trial.

[…]

Court records have shown that the update applies to users with iCloud Photos turned on. Those accounts also need to use at least 10GB of storage and contain at least 5,000 photos and videos. Plaintiffs say all this amounts to collecting biometric data without consent, putting Apple squarely at odds with Illinois law.

Again, I find it odd that features are apparently gated based on the capacity of your iCloud account rather than the available storage.

Malcolm Owen:

The lawsuit accuses Apple of collecting biometric data without user consent in the Photos app, reports The Times. It is alleged that Photos uses facial recognition technology to scan individuals who appear in images, creating a “faceprint” for each person in the photo library.

After collecting enough samples, an algorithm is allegedly used to identify the iPhone user. That data is then stored on the iPhone within the Photos app.

I don’t see what the issue is here. My understanding is that it only uploads vectors after you’ve opted in by enabling iCloud Photos and manually assigning names. Also, the vectors don’t seem like the sort of biometric information that the law was meant to protect.

Brian Webster:

Assuming things are working properly, what should happen is that the people you have specifically named and the photos you have specifically verified sync their info via iCloud. However, the actual face detection for the rest of the photos is done on a per device basis and is not synced via iCloud, primarily for security/privacy reasons.

So, when you first set up a new device, it will pull down the names and info for the photos where you have identified a particular person, but then it still needs to go through the entire library on-device, identify the faces in each photo, and compare them to the synced information to tell which person is in which photo. So once it’s done, you should end up with mostly the same photos identified as each person, but each device still needs to do its own face detection locally.