A system trained to pursue a goal may follow the logic of that goal farther than a human would, simply because it lacks the background context people normally bring to a decision. It pushes the pattern to its conclusion.
Which means the patterns embedded in human knowledge matter more than we might expect.
That thought stayed with me because I had seen something like it once before—in a place that had nothing to do with language at all.
Back then the patterns weren’t hidden inside words. They were buried in enormous piles of numerical data.
And the only way to see them was to draw them.
I remember standing in a lab watching a supercomputer turn equations into color on a screen while the swirling motion of a simulated storm slowly emerged from what first looked like chaos.
It was one of those moments when structure suddenly becomes visible.
And that’s where the story goes next.