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The impact is particularly noticeable among Generation Z and millennials, the first generations to come of age with the possibility of knowing where their peers are at all times. It has changed how friends communicate with one another and blurred lines of privacy. Friends now, sometimes unwittingly yet obsessively, check one another’s locations and bypass whole conversations — about where somebody is, what they are doing or how their days are going — when socializing. All of that information can be gleaned from Find My.

Although Find My is not marketed as a social experience, sharing locations has become a test of sorts, much like being included on a close friends list on Instagram or on a private story on Snapchat can signal closer friendships.

With Find My, “you aren’t actively choosing to do something as you reach a certain location because you’re constantly sharing your location,” said Michael Saker, a senior lecturer in digital sociology at City, University of London. As a result, “there’s an intimacy that’s intertwined with that act,” he added. “There’s a verification of being friends.”

Good thinking doesn’t happen by passive osmosis of other people’s good thinking. You have to actually write essays and journals to debug yourself and your ideas. And then, crucially, act (a) on this thinking.

Consider a university professor teaching a course. Does she say anything original? Do you think she should cancel her course because somebody else discovered the things she wants to teach? Or does she have to cancel her course simply because there is a similar course at some other university? Or consider yourself. Do you avoid having conversations with your friends when you think you have nothing original to say? Do you share things with them? Do you give advice? Do you help to understand things?

We’ve put the web in the hands of nearly everyone in society, but we’ve spent a depressingly small amount of time helping folks use the web as a building material.

In other words, when Kylie Jenner posts a petition demanding that Meta “Make Instagram Instagram again”, the honest answer is that changing Instagram is the most Instagram-like behavior possible.

The first trend is the shift towards ever more immersive mediums. Facebook, for example, started with text but exploded with the addition of photos. Instagram started with photos and expanded into video. Gaming was the first to make this progression, and is well into the 3D era. The next step is full immersion — virtual reality — and while the format has yet to penetrate the mainstream this progression in mediums is perhaps the most obvious reason to be bullish about the possibility.

The second trend is the increase in artificial intelligence. I’m using the term colloquially to refer to the overall trend of computers getting smarter and more useful, even if those smarts are a function of simple algorithms, machine learning, or, perhaps someday, something approaching general intelligence.

The third trend is the change in interaction models from user-directed to computer-controlled. The first version of Facebook relied on users clicking on links to visit different profiles; the News Feed changed the interaction model to scrolling. Stories reduced that to tapping, and Reels/TikTok is about swiping. YouTube has gone further than anyone here: Autoplay simply plays the next video without any interaction required at all.

The problem is that the main incentive for pursuing corporate sustainability work is its ability to create more marketable products. Outside of sustainability efforts that are pursued based on compliance or regulation, much of this work is built around the idea of pandering to consumers' understanding of sustainability, something that’s notoriously variable.

in Instagram apologies, even when someone ostensibly confronts their ugliness, it’s hard to read the gesture as anything but an effort to publicly reclaim their image. But at least the Notes App Apology permitted us a semblance of sincerity, and suggested there might be a human being who typed the message—even if that human was an intern or assistant. There’s nothing sincere about a trickle-down excuse crafted to look pretty for Instagram grids, and the processed nature of Photoshopped Apologies implies the absence of the one thing all genuine apologies must possess: accountability straight from the person who committed the transgression.

iPhones are no longer cameras in the traditional sense. Instead, they are devices at the vanguard of “computational photography,” a term that describes imagery formed from digital data and processing as much as from optical information. Each picture registered by the lens is altered to bring it closer to a pre-programmed ideal. Gregory Gentert, a friend who is a fine-art photographer in Brooklyn, told me, “I’ve tried to photograph on the iPhone when light gets bluish around the end of the day, but the iPhone will try to correct that sort of thing.”

Advertisers don’t really want to know who you are - they want to show diaper ads to people who have babies, not to show them to people who don’t, and to have some sense of which ads drove half a million sales and which ads drove a million sales.

In practice, ‘showing car ads to people who read about cars’ led the adtech industry to build vast piles of semi-random personal data, aggregated, disaggregated, traded, passed around and sometimes just lost, partly because it could and partly because that appeared to be the only way to do it. After half a decade of backlash, there are now a bunch of projects trying to get to the same underlying advertiser aims - to show ads that are relevant, and get some measure of ad effectiveness - while keeping the private data private.

Apple has pursued a very clear theory that analysis and tracking is private if it happens on your device and is not private if leaves your device or happens in the cloud. Hence, it’s built a complex system of tracking and analysis on your iPhone, but is adamant that this is private because the data stays on the device. People have seemed to accept this (so far - or perhaps the just haven’t noticed it), but acting on the same theory Apple also created a CSAM scanning system that it thought was entirely private - ‘it only happens your device!’ - that created a huge privacy backlash, because a bunch of other people think that if your phone is scanning your photos, that isn’t ‘private’ at all. So is ‘on device’ private or not? What’s the rule? What if Apple tried the same model for ‘private’ ads in Safari? How will the public take FLoC? I don’t think we know.

On / off device is one test, but another and much broader is first party / third party: the idea it’s OK for a website to track what you do on that website but not OK for adtech companies to track you across many different websites. This is the core of the cookie question

At this point one answer is to cut across all these questions and say that what really matters is whether you disclose whatever you’re doing and get consent. Steve Jobs liked this argument. But in practice, as we've discovered, ‘get consent’ means endless cookie pop-ups full of endless incomprehensible questions that no normal consumer should be expected to understand, and that just train people to click ‘stop bothering me’. Meanwhile, Apple’s on-device tracking doesn't ask for permission, and opts you in by default, because, of course, Apple thinks that if it's on the device it's private. Perhaps ‘consent’ is not a complete solution after all.

If you can only analyse behaviour within one site but not across many sites, or make it much harder to do that, companies that have a big site where people spend lots of time have better targeting information and make more money from advertising. If you can only track behaviour across lots of different sites if you do it ‘privately’ on the device or in the browser, then the companies that control the device or the browser have much more control over that advertising

when you try to implement one of these specs you quickly realize that you cannot do it with the spec alone. You need example code, base implementations, test suite software and test data to build conformant software. Unfortunately, the Bluetooth SIG hides these resources behind a membership wall. Guess what happens then? You get lots of implementations of these specs that are a little bit off and don't handle all edge cases.