I drive a 2015 Tesla S, which has a Mobileye ConvNet-based vision system. It works. It's not perfect, but it's very useful (reduced cognitive load). Video subtitling is good enough for 2B ppl to play silently. Image captioning good enough for millions of blind people to use it
even on highways, driverless cars are still risky, video captioning is not reliable yet, robot grasping still has a long way to go, and AFAIK no actual species has yet been saved. my quote, taken out of context, wasn’t about AI’s potential, it was about what had been deliveredhttps://twitter.com/ylecun/status/1064781702202036224 …
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We should not use the word AI but use Machine Learning instead, it would prevent endless debates, reduce the hype as well as public fears. Even though ML systems are dumb compared to a proper intelligent system, they are very useful already
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I will wholeheartedly get behind this. Too much hype and selective media headlining is causing more damage than we know of.
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Aside from trivial algorithms such as sorting, you can say very similar things about most software. How has computer science potential delivered on AV setup for presentations for example?
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More examples:
#facebookdown and#instagramdown are trending on twitter right now.
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