I built an AI security benchmark this week. By the end of one night I had killed six of my own results —

every single one a beautiful, convincing number that turned out to be a lie. Catching them was the whole point.

Here's the pattern, because it keeps showing up:

A perfect score is a smoke alarm, not a trophy. Every time something hit 100% / 1.000 / "zero errors,"

it was a broken experiment, not a breakthrough. A few of the ways (generalised, no project specifics):