We Shall Meet
Thin signals. Missing context. No ground truth. How will it learn if you set it up for failure?
"We shall meet in the place where there is no darkness."
When Winston heard it, he took it as hope. Light. Safety.
He was wrong. Not because the words were unclear, but because the signal set from O'Brien looked trustworthy. Warm tone. Friendly smile. Familiar language. But the context told a different story.
Most of our daily interactions work like that. We read a bundle of signals and build an explanation in our head.
We all know 'words without context' is a trap. So why do we forget it when we work with systems?
We expect models to figure it out from multiple signals. But too often we give them the equivalent of polite words and a smile. Thin signals. Missing context. No ground truth.
How will it learn if we set it up for failure?
You do not need a perfect setup. Just ask yourself one important question: Did we design the setup to capture the right signals in the first place?
Clear events, consistent definitions, and real feedback loops. It will never be perfect. Building a solid signal foundation is a strategic choice.
If the signals are weak, the system will still learn. It will just learn the wrong thing faster.