Greedy, Brittle, Opaque, and Shallow: The Downsides to Deep Learning

Re:Greedy, Brittle, Opaque, and Shallow: The Downsides to De... by username223 on Saturday February 10, 2018 @07:27PM (#16350438)

> This is also why using raw machine learning for automatic driving is a terrible idea.

Agreed. Train a billion-parameter model on million-feature sensor inputs from "normal" conditions, and it will drive really well until its massive over-fitting runs into slightly unusual circumstances, like a tumbleweed rolling across the road. Then it will do something completely unpredictable, and people will probably die. ML plus pervasive surveillance can automate a lot of routine work, but it has a serious problem with outliers.

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Re:Greedy, Brittle, Opaque, and Shallow: The Downsides to De... by giardini on Sunday February 11, 2018 @01:28PM (#16353948)

"like a tumbleweed rolling across the road. Then it will do something completely unpredictable, and people will probably die."*

<sarcasm> Seems a small price to pay for progress. We lost 37,000 people to auto accidents in 2016. I wouldn't be surprised if one or more of those deaths involved a mis-identified tumbleweed.</sarcasm>

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