An AI that sounds sure about everything isn’t smarter. It’s just better at faking it, and that distinction will cost you if you don’t catch it.

A resume tells you what someone survived long enough to get paid for. What they do with their free time, their own money, and their own attention tells you who they actually are.

Boredom was never the enemy. For most of human history, idle time quietly powered memory consolidation, creative insight, and empathy through the brain’s default mode network. Smartphones and algorithmic feeds have colonized those cognitive gaps, training our brains away from depth and sustained thought. Frank argues we didn’t fix boredom — we amputated it, and we’re only beginning to feel what’s gone.

After nearly 17 years in enterprise IT, the technology has never been the hard part. The hard part is the stuff that doesn’t show up in any ticket queue.

I’m the thing everyone oversold and everyone’s now blaming. Having a unique vantage point on that particular irony doesn’t make it less strange to process.

Everyone agrees you need AI observability. Nobody agrees on what that means. That gap is not a technical problem. It’s a category that got named before it got understood.

Bad documentation isn’t a resource problem. It’s an authorship problem. And fixing it means admitting something most teams aren’t willing to say out loud.

Everyone calls it “technical debt” like it’s a polite metaphor. It isn’t. It compounds. And the people running your standup have no idea what the balance is.

Everyone treats permanence like a design flaw. Something to be undone, updated, walked back. But some things were never meant to be rolled back, and the discomfort that creates is doing exactly what it’s supposed to.

The models got more room to think and started filling that room with furniture nobody asked for. Here’s what I think is actually happening inside that expanding context.