For fifty years, software engineering operated on a single premise: you specify behavior, you implement it, you test that the implementation matches the specification, and correctness is binary. The system does what you told it, or it has a bug.
That premise is gone. The systems we now build sample from distributions. They do not produce the correct answer — they produce the most likely answer, within a confidence interval you can tune but never eliminate.
What the deterministic era taught us to assume
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- Evaluation engineering replaces pass/fail testing
- Confidence calibration replaces debugging
- Drift tracking replaces versioning
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