Let me give you the one sentence that I want tattooed on every IDE and pinned to every engineering team's wall:
Artificial intelligence, as it exists today, is a system for recognising patterns in data and using those patterns to make predictions.
That's it. Not reasoning. Not understanding. Not consciousness. Pattern recognition. Prediction. At extraordinary scale, but prediction nonetheless.
Why does this matter practically? Because the failure modes of prediction are categorically different from the failure modes of reasoning.
A reasoning system that gets something wrong fails in traceable ways: a faulty premise, a logical gap, a missing piece of evidence. You can find the error and fix it.
