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I Called Off My Wedding. The Internet Will Never Forget

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I Called Off My Wedding. The Internet Will Never Forget

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“I think it’s an even stronger statement than that,” Seyal said. “If we solve the problem you describe, the user doesn’t necessarily come back more, but we might have solved what’s a terrible experience on the internet. And that in itself is enough.”

Pinterest hadn’t really solved it, though. The new tuning feature I saw in their offices felt like little more than expanded menu options, a Facebookian revision of settings. In early 2021, Pinterest was still suggesting “24 Excellent and Elegant Silk Wedding Dresses” to me.

That day, leaving Pinterest and walking back to my office, I realized it was foolish of me to think the internet would ever pause just because I had. The internet is clever, but it’s not always smart. It’s personalized, but not personal. It lures you in with a timeline, then fucks with your concept of time. It doesn’t know or care whether you actually had a miscarriage, got married, moved out, or bought the sneakers. It takes those sneakers and runs with whatever signals you’ve given it, and good luck catching up.

All along there was the option to go nuclear. The big delete. I could trash all my old photos in Apple’s and Google’s apps, obliterate accounts, remove widgets, delete cookies, and clear my browser cache again and again. I could use Instagram’s archive tool, tell any and every app I no longer wanted to see their crappy ads until they got the hint, and quietly unfriend and unfollow. I could turn off On This Day notifications in Facebook and untag my ex’s face.

I managed to do half the work. But that’s exactly it: It’s work. It’s designed that way. It requires a thankless amount of mental and emotional energy, just like some relationships. And even if you find the time or energy to navigate settings and submenus and customer support forms, you still won’t have ultimate control over the experience. In Apple Photos, you can go to Memories, go through the collage the app has assembled for you, delete a collage, untag a person or group of people, or tell the app you want to see fewer Memories like it. The one thing you can’t do? Opt out of the Memories feature entirely. Google’s options are slightly more granular: You can indicate that there’s a time period from which you don’t want to see photos, in addition to hiding specific people. Which works, I suppose, if the time period you’re considering isn’t eight years.

Technologists tell me this whole experience should improve over time. That is the nature of machine learning. Apple, Google, Facebook, and Pinterest all use artificial intelligence to suss out which photos should pop up in your memories or which pins should show up in your feed.

There are algorithms that identify when people in a photo are smiling or when someone in the group was blinking. Facebook has developed a framework called the Taxonomy of Memory Themes that informs the algorithms that surface On This Day memories. Facebook memories that contain phrases like “miss your face” are more likely to be reshared, but food-related memories, like an old photo of tacos, are quite bland in retrospect. Facebook, Google, and Apple have also trained their systems to spot photos of accidents and ambulances and to not surface those in memories.

“The machine will never have 100 percent precision,” Yael Marzan, from the Google Photos team, told me. “So for sensitive topics, we’re trying to do some of that. We know that hospital photos are sensitive, so when our machines detect that, we’ll try not to show it to you.” I couldn’t help but think of Marzan’s remark in the context of this pandemic year, and the trauma someone might feel if, a year from now, a photo from the hospital did flutter up on their phone screen.

But also, what if the photo from the hospital was of a birth, of uncomplicated relief? Would those photos also not appear? Shouldn’t there be some way to identify when a blue hospital gown is actually a happy moment and a white wedding gown is not? Or are the two impossible to distinguish or predict, in technology and in life?

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