IAI

Reality Cannot Be Turned Into Mathematics

Landgrebe and Smith argue non-ergodic systems can never be fully modeled, therefore AI will fail outside regular patterns. The physics is sound; the conclusion isn't. Their own combustion engine example defeats them: engineering succeeds at the macro-ergodic layer of non-ergodic systems, which is exactly what useful AI does. The buried insight is better than the headline thesis: every AI use case has an ergodic component and a non-ergodic component. The companies burning cash are the ones that can't tell which is which.