The steam from the mug hit my chin, a damp heat that felt like a mild apology for the 6 AM silence. Down there, by the door, the neon orange lugs of the trail runners looked like teeth-predatory, ready to bite into shale or mud or whatever rugged terrain I’d promised myself I’d conquer this week. They were $203 of pure, unadulterated potential. They hadn’t even touched grass yet. There’s a specific kind of shame in looking at a pristine outsole. It’s the visual representation of a lie told in a moment of high-resolution optimism. I took a sip of the coffee, which tasted vaguely like the cardboard of the shoe box, and I sat back down on the couch. The shoes stayed by the door. The mountain stayed where it was, about 43 miles away and completely indifferent to my gear acquisition.
Felix K. gets this better than anyone I know. He’s a curator for AI training data-a man who spends 53 hours a week teaching machines how to distinguish a dog from a blueberry muffin. He lives in a world of absolute precision, of labeled nodes and clean datasets. But his life? His life is a beautifully curated museum of things he doesn’t do. Last month, he bought a $993 stationary bike that has more computing power than the Apollo 11 mission. It sits in his spare room, currently acting as a very expensive rack for a pair of