[btown]

My suspicion is that the training set features a lot of code with “positive sentiment” in text and comments around it… but where does one find code with “negative” sentiment, followed by code that is the “corrected” version of that code? In programs written for technical interview prep, where handling of edge cases beyond realistic production situations is the norm. A model trained to use negative examples in its training set as guidance would gravitate away from examples that skip exception handling.

In this, at least, AI may very well have copied our worst habits of “learning to the test.”