Google's Artificial Brain Learns to Find Cat Videos
Google’s X Lab designed a particular neural network to discern whether an algorithm could learn to recognize faces without being fed information on exactly what a face was. It did great at that task.
It also found cat videos quite well:
The “brain” simulation was exposed to 10 million randomly selected YouTube video thumbnails over the course of three days and, after being presented with a list of 20,000 different items, it began to recognize pictures of cats using a “deep learning” algorithm. This was despite being fed no information on distinguishing features that might help identify one.
On the surface, it’s a joke about the impending cat video singularity. But it’s a pretty awesome example of machine learning, too. It means that with careful programming, a synthetic network can learn fairly advanced patterns in completely novel data, like cat faces, or what a cat even IS.
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The webcomic Questionable Content makes fun of the AI Singularity by having said AI not wiping out humanity because it...
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Personalities are essentially just complex networks of learned behavior.
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This is great! Now google can get me all the cat videos I want
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oh shit. oh shit..
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This is legit.
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