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Six ways an ML pipeline fools itself (and the devices that caught them)

This story is from 2026-10-28. It is preserved in the archive; the latest stories are on the live feed.

I run a nightly pipeline that trains scoring models for sixteen stock chart pattern detectors. It has run nearly 800 times since May 2026, and most of its 88,000 lines of Python are not modelling. They are the ruler: the splits, gates and ledgers that decide whether a model is real. The edge it hun…

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  1. 2026-10-28 15:52 · DEV Community — Machine Learning
    Six ways an ML pipeline fools itself (and the devices that caught them)

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