Where AI slop meets a dumpster fire.
The ML stack for lookalike modeling implies something sophisticated is happening. Under the hood, it's a log-likelihood ratio. Here's how to build a statistically principled audience scorer in pure SQL — and why the complexity is often borrowed, not earned.
A cracked mirror on a Brooklyn sidewalk, still doing exactly what a mirror does. We conflate broken with useless constantly — and there is a cost to that.
Building a Civilization knockoff seems like a scope problem. It's actually a design insight waiting to happen — one that starts by asking what makes Civ interesting in the first place.
Most companies bolt AI onto what already exists. The better architecture treats it as a set of independent, composable dimensions — and builds accordingly.
There's a twenty-minute window after sunset when the city lights and the sky reach equilibrium. This is what it looks like from DUMBO.
Complexity theory doesn't bend for large language models. The real question isn't whether AI can solve hard problems — it's whether you're asking the right question.
Sometimes you have to lie to the machine to get the right answer. That's not a bug in your judgment — it's the gap between the model and reality.
Carbonara-style dashi, bacon fat gloss, and a sous vide egg turn the NYC BEC into a ramen bowl.
The faster we mint heroes, the easier it is to ignore the scaffolding that actually changes anything. Celebrate the systems and the work survives scrutiny.
Slack is the wrong primitive for agent collaboration. Here is what a purpose-built agent bus actually needs.