This isn’t an AI problem.
It’s an education problem.
We teach probability as arithmetic, not as a systemic liability.
From high school to tertiary engineering, students learn how to compute likelihoods —
but never how probability collapses under composition, how tails dominate reality, or how “99.9% right” becomes zero reliability at scale.
So graduates ship stochastic systems into domains that require invariants, guarantees, and accountability — and call the failures “hallucinations”.
That word isn’t science.
It’s a liability abstraction layer.
Curricula optimize for clean exams, employability, and tools — not long-horizon failure, adversarial reality, or responsibility.
Reality lives in the tails. Education lives in the mean.
This isn’t stupidity.
It’s a syllabus gap big enough to drive an entire industry through.
Probability is not a foundation.
Averages are not truth.
Verification is not optional.
Until we teach that, we’ll keep graduating mathematically fluent engineers who build systems that fail exactly as predicted — just never taught.
#SystemsThinking #Mathematics #EngineeringEducation #Verification #DeterministicSystems #EndOfStochasticEra
