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When your ML model learns the training data SO well that it literally memorizes the answer "15" and decides that's the universal solution to EVERYTHING. Congratulations, you've created the world's most confident idiot!
Our brave developer here proudly claims Machine Learning as their biggest strength, then proceeds to demonstrate they've trained themselves on exactly ONE example. Now every math problem? 15. What's for dinner? Probably 15. How many bugs in production? You guessed it—15.
This is overfitting in its purest, most beautiful form: zero generalization, maximum confidence, absolute chaos. The model (our developer) has learned the noise instead of the pattern, and now they're out here treating basic arithmetic like it's a multiple choice test where C is always the answer.
