Well, at least we know who taught her to talk like that.

Jessica E. Lessin, Amir Efrati, and Erin Woo, reporting for the paywalled-without-gift-links The Information:

While we have reported that Apple can tweak, or fine-tune, a version of Google’s Gemini AI so that it responds to queries the way Apple wants, the agreement gives Apple a lot more freedom with Google’s tech.

In fact, Apple has complete access to the Gemini model in its own data center facilities. Apple can use that access to produce smaller models that power specific tasks or are small enough to run directly on Apple devices so they can run the tasks faster, said a person who has direct knowledge of the arrangement.

The process of producing such models is called distillation, which essentially transfers knowledge from one large language model, which acts like a teacher, to another model that acts as a student.

That Apple negotiated this level of access is interesting, but not surprising. The biggest tell that this deal runs much deeper than simple white-labelling is that Apple will — or at least has the right to — run these Gemini-based models in Apple’s own Private Cloud Compute datacenters.

Katie Notopoulos, my favorite Sora user, at Business Insider (paywalled, alas, but available via News+):

Eventually, my friends all seemed to get bored with the app. As I do at most parties, I stuck around longer than everyone else, but eventually I, too, found that the novelty had worn off. I rarely opened the app after the second week.

This was, I imagine, a problem: making videos of yourself is fun, but watching videos that strangers make of themselves is not fun. The idea of a social feed of AI-generated videos is simply not something that people are interested in. Around the same time, Meta also tried this with an app of AI videos, and it was even more boring.

It’s hard to see how anyone thought Sora would have staying power, or could ever justify the apparently exorbitant cost of running it. OpenAI burned a ton of money on what was effectively a stunt.

OpenAI doesn’t appear to be a well-oiled machine at the moment.

Tim Hardwick at MacRumors:

macOS Tahoe 26.4 includes a new slow charger indicator that tells MacBook users when their charging setup isn’t delivering full power. As described in an updated Apple support document, a “Slow Charger” label now appears in orange text in the battery status menu and above the Battery Level graph in Battery settings. The indicator is accompanied by an info button for more details.

Apple says that to charge more quickly, users should use a power adapter and cable that deliver at least the minimum wattage recommended for their MacBook model.

This might be especially useful in Europe, where MacBooks no longer come with power adapters. Regular people often have no idea how power adapters work, and presume one charger is as good as another, if it works at all. After I posted this item back in October about the new MacBook Pros not shipping with chargers anywhere in Europe (not just the EU, even though it’s an EU law that requires products to be available without included chargers), a bunch of readers regaled me with tales of a family member complaining about their MacBook losing battery life even while plugged in, only to discover that they were using wimpy 5- or 10-watt USB-C adapters.

Jennifer Daniel, on her “Did Someone Say Emoji?” blog:

First came Melting Face 🫠, our collective surrender to the liquid state.

Then Dotted Line Face 🫥, the visual representation of sublimation: turning from a solid into a gas just to escape a conversation.

Now, we have Distorted Face (U+1FAEA), a moment defined by tension: where you aren’t just feeling an emotion — you are being physically altered by it.

I’ll live, but it feels a tad spiteful that Apple only adds new emoji to the current-year OS updates. So this year’s 8 new emoji are in MacOS 26.4, but not MacOS 15.7.5, despite both being released this week.