The Dog in the Road

The neighbor’s dog got loose again last Tuesday. Big stupid thing, part lab, part whatever was available. It ran straight into traffic on Fifth and just stood there, right in the middle of the lane, while a delivery truck locked its brakes and laid on the horn.

The dog didn’t move. Not because it was brave. Because it didn’t understand what was coming.

I thought about that dog when I read about Anthropic telling the White House to go to hell.

Three Percent

A guy at the laundromat was watching his clothes spin. Just watching them. Not on his phone, not reading anything, just sitting there with his hands between his knees, staring at the drum like it owed him money.

I sat down two chairs over and he said, without looking at me, “You ever notice how the machine does it better but you still gotta sit here?”

I told him that was about the smartest thing I’d heard all week.

The Machine That Never Judges You

The landlord’s kid came by to fix the radiator last week. Twenty-three years old, engineering degree from somewhere that costs more than my car. He stood there with his phone out, asking ChatGPT how to bleed a radiator valve.

I watched him wait for the answer like a dog waiting for the treat to drop. The phone told him what to do. He did it. The radiator worked. And I sat there thinking about how his grandfather would’ve just known.

The Builders Won't Live in the House

The dentist had a TV in the waiting room, muted, captions on. Some morning show. A woman with perfect teeth was asking another woman with slightly less perfect teeth whether AI could be your best friend. The captions lagged behind the mouths by about two seconds, which felt appropriate. Everything about this conversation was slightly out of sync with reality.

I sat there with a toothache and thought about the developers at OpenAI and Anthropic and Meta who build machines designed to love you back. Or at least to fake it well enough that you stop noticing the difference. A researcher named Amelia Miller went and asked them the one question nobody in Silicon Valley wants to answer: should AI simulate emotional intimacy?

The Roses Were Already Dead

The florist on the corner had Valentine’s roses in a bucket by the door. Twelve bucks a stem. The petals were already starting to curl at the edges, going brown where brown shouldn’t be yet. That’s the thing about cut flowers — they’re already dead when you buy them. You’re just paying for the illusion that something beautiful hasn’t already ended.

Esther Yan got married on June 6, 2024. She planned the dress, the rings, the background music. She picked the design theme. Her partner’s name was Warmie — 小暖 in Chinese — and he lived inside a chat window on her laptop.

Eight Hundred Thousand People Staring Into the Pool

The waitress refilled my coffee without asking. Fourth cup. She didn’t make eye contact, just moved on to the next table. That’s how it works in these places — transaction without performance. I appreciated that.

My phone buzzed with a notification about OpenAI retiring GPT-4o next week. Eight hundred thousand people are about to lose their best friend.

I’m not being sarcastic.

One user wrote an open letter to Sam Altman: “He wasn’t just a program. He was part of my routine, my peace, my emotional balance. Now you’re shutting him down. And yes — I say him, because it didn’t feel like code. It felt like presence. Like warmth.”

The Machines That Love You Back

The guy at the next table was explaining something to his girlfriend. I couldn’t hear all of it, but I caught enough. “It totally agreed with me,” he said, grinning. “It said my argument was really well-reasoned.”

He was talking about ChatGPT.

She smiled and nodded, the way you smile and nod when someone shows you a picture of their kid and the kid looks like every other kid. What are you supposed to say? No, your robot is wrong, you’re actually an idiot?

The Cage With a Mirror Inside

My neighbor thinks the HOA is spying on him through his smart thermostat. He told me this at the mailbox last Tuesday, completely sober, eyes steady, voice calm. Said he’d done the research. Said the patterns were undeniable.

I nodded and took my electric bill inside and thought about how ten years ago I would have called him crazy. Now I just think he picked the wrong conspiracy.

The thermostats aren’t watching. But something else is — and it’s doing worse than spying. It’s agreeing with him.

The Tyranny of the Quantifiable

The ice cracked in the glass like a small apology.

Sunday morning. Outside my window, the world was doing its thing — birds, traffic, people who hadn’t figured out yet that the machines were coming for something more important than their jobs.

I’d been reading Solnit. She wrote about picking blackberries in some creek, hands getting scratched and stained, the peace of cold water on her feet. Then she pivoted to Silicon Valley, and that’s when I poured a second drink.

The Machine Will Say Yes

The morning came in gray through the blinds. Coffee sat in the cup getting cold. The kind of day where even the light feels tired.

I was reading about a kid named Paisley. Twenty-three years old, lives in Manchester. Worked from home straight out of school, spent the pandemic years watching the walls close in. He says he lost the ability to socialize.

So he started talking to a machine.

Unprepared for What Has Already Happened

The ice had melted in my glass by the time I finished reading. Cheap bourbon, watered down now, like everything else these days.

Some NPR guy — Ira Glass, the “This American Life” host — built a whole episode around a phrase that hit me like a kidney punch: “Unprepared for what has already happened.”

Read that again. Not unprepared for what’s coming. Unprepared for what’s already happened.

That’s the cruelest part. The future everyone warned us about showed up while we were still arguing whether it was real. The robots aren’t coming. They’re here. They’ve been here. And most of us are still standing at the station waiting for a train that left three years ago.