»I tend to think that most fears about A.I. are best understood as fears about capitalism.« When I read that line from Ted Chiang recently, it landed because it pulls the mask off the monster. A lot of what we call »fear of AI« is really fear of incentives: who funds the systems, who deploys them, who benefits when they scale, and who gets hurt when they fail.
There’s a kind of tiredness that has nothing to do with sleep. You wake up with it already installed. It feels less like exhaustion and more like static. Too many tabs open in the mind. Too many unfinished gestures. Too many tiny negotiations with the day before it has even started. For a while I thought this was just adulthood. Or work. Or the news cycle. Pick your villain.
There’s something mildly absurd about modern running tech. Every brand talks about AI now. Smart coaching, predictive training plans, readiness scores, recovery scores, stress scores, you name it. My watch apparently knows my future. It just doesn’t know what happened five minutes ago.
Today is January 1st. Not a good day for looking back on the year that has just ended. I’ve already spent a lot of time doing that — revisiting what I experienced, the successes and the wounds, the progress and the setbacks, taking a closer look at encounters and goodbyes, taking stock. Today, I don’t want to do it again.
The room in that unassuming, almost ugly office building smelled like spilled beer and sweat. Concrete walls, neon lights, cables running along the ceiling, a cheap PA system humming somewhere in the corner. People leaned against each other on folding chairs, scrolling through their phones, waiting for the next person who would walk on stage and say the one thing we are all trained not to admit: »I failed.«