Machine learning may border on magic, and provide many of the biggest technical benefits we've enjoyed in the last decade, but it has plenty of "weak spots." One of Google's biggest concerns is that models are often trained using example data that's too easy to interpret, making them unprepared for the greater ambiguity of the real world. Case in point: Telling a donut from a bagel.

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