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iOS, iPadOS, and macOS Betas Reveal New Emoji Coming Soon→

Source: Emojipedia

Source: Emojipedia

It’s become something of a tradition for Apple to include new emoji in one of the early point releases to a major iOS and iPadOS release. Like last year, the new emoji are coming in the second major update to iOS and iPadOS. This year, though, the new emoji look like they will make it into the first released version of macOS Big Sur because they are included in beta 9 of macOS too.

In July, Apple shared some of the designs for its emoji based on the Unicode Consortium’s specifications for Unicode 13.0. Today, as detailed by Emojipedia, iOS and iPadOS 14.2, beta 2 were released and include Apple’s full set of upcoming emoji. There are 66 in total, not counting every possible variant.

Designs not revealed by Apple earlier this summer include:

  • Smiling Face with Tear
  • Disguised Face
  • Gender variations for people wearing a tuxedo and veil

The release also includes four realistic bugs and an abstract depiction of a hug that I expect to be a highlight of this year’s Jeremys.

Earlier this month, the Unicode Consortium approved Unicode 13.1, another set of emoji specifications that are expected to be adopted by Apple sometime in 2021.

For the full details on the emoji unveiled today, don’t miss Jeremy Burge’s post on Emojipedia.org.

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Computer Personalization Is a Good Thing, and It’s Nothing New→

Jason Snell at Six Colors, providing some historical context for the current wave of iOS 14 Home Screen customization:

The Mac has a long history of customization. When I became a Mac user in the early 90s, it was de rigueur to give your Mac hard drive a name and a custom icon. Ideally, you had a custom wallpaper pattern or image, too. Apps like SoundMaster let you set custom sounds for various actions. The list went on and on. Your Mac felt like home—and like no one else’s.

What’s more surprising is that Apple was so slow in bringing real customization to the iPhone home screen. If adding widgets to iOS 14 has caused enormous burst of creativity, it’s only because all that desire had built up over years and years with very little outlet.

This is not a surprise. This is not the effect of young whippersnappers raised on social media wanting to do goofy things with their phones. Users of computer platforms have wanted to customize and personalize for decades.

Lots of people are having lots of fun making all kinds of personalized Home Screens and even themed ones. This is made possible by a combination of iOS 14, app launchers configured through Shortcuts with custom icons, and a new crop of widget creation apps.

These Home Screen designs may not be for everyone, but that’s kind of the point: they’re not for everyone, they’re built by and for individual users. Let’s celebrate that creativity, and hope Apple provides better tools for this kind of customization in the future.

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John Giannandrea on the Broad Reach of Machine Learning in Apple’s Products→

Today Samuel Axon at ArsTechnica published a new interview with two Apple executives: SVP of Machine Learning and AI Strategy John Giannandrea and VP of Product Marketing Bob Borchers. The interview is lengthy yet well worth reading, especially since it’s the most we’ve heard from Apple’s head of ML and AI since he departed Google to join the company in 2018.

Based on some of the things Giannandrea says in the interview, it sounds like he’s had a very busy two years. For example, when asked to list ways Apple has used machine learning in its recent software and products, Giannandrea lists a variety of things before ultimately indicating that it’s harder to name things that don’t use machine learning than ones that do.

There’s a whole bunch of new experiences that are powered by machine learning. And these are things like language translation, or on-device dictation, or our new features around health, like sleep and hand washing, and stuff we’ve released in the past around heart health and things like this. I think there are increasingly fewer and fewer places in iOS where we’re not using machine learning. It’s hard to find a part of the experience where you’re not doing some predictive [work].

One interesting tidbit mentioned by both Giannandrea and Borchers is that Apple’s increased dependence on machine learning hasn’t led to the company talking about ML non-stop. I’ve noticed this too – whereas a few years ago the company might have thrown out ‘machine learning’ countless times during a keynote presentation, these days it’s intentionally more careful and calculated in naming the term, and I think for good reason. As Giannandrea puts it, “I think that this is the future of the computing devices that we have, is that they be smart, and that, that smart sort of disappear.” Borchers expounds on that idea:

This is clearly our approach, with everything that we do, which is, ‘Let’s focus on what the benefit is, not how you got there.’ And in the best cases, it becomes automagic. It disappears… and you just focus on what happened, as opposed to how it happened.

The full interview covers subjects like Apple’s Neural Engine, Apple Silicon for Macs, the benefits of handling ML tasks on-device, and much more, including a fun story from Giannandrea’s early days at Apple. You can read it here.

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