Self driving cars always seem to be "tomorrow's promise". One major reason is the way that machine learning struggles with "generalising" from more specific data. A child doesn't need to be shown every possible type of chair to learn what a chair is – but throw a few pixels out and your CNN is likely to miscategorise that wolf as a bear (https://rob.al/2u3owoW), which could have catastrophic consequences, especially if the knowledge is used maliciously. The Verge is asking whether this limit on capability is leading to a dead end – without significant progress in generalisation driving may be simply too unpredictable to be achieveable
https://rob.al/2z7dswK
Skeptics say full autonomy could be farther away than the industry admits
Self-driving cars are headed toward an AI roadblock
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