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by scottLobster
2605 days ago
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"Rarely" over large populations comes out to quite a few people. And humans may very well fail in more predictable ways (that can then be accounted for) than multiple AIs trained on widely varying data sets. In fact AI's advantage, speed of processing ("reflexes") means that it's capable of failing in all sorts of ways that humans physically couldn't. Deep Learning is great for pure-data problems. I doubt it will be sufficient when interacting with the real world's inherent real-time randomness on large scales. |
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