domingo, 3 de julio de 2016

AI, Apple and Google (by Benedict Evans)

Machine learning offers the promise that a lot of very large and very boring analyses of data can be automated - not just running the search, but working out what the search should be to find the result you want. 
That is, the eye-catching demos of speech interfaces or image recognition are just the most visible demos of the underlying techniques, but those have much broader applications - you can also apply them to a keyboard, a music recommendation system, a network security model or a self-driving car. Maybe. 
I think a foundational point here is Eric Raymond's rule that a computer should 'never ask the user for any information that it can autodetect, copy, or deduce' - especially, here, deduce. …
And that's what any 'AI' short of HAL 9000 really is - the automatic pilot, the automatic spell checker, the automatic hardware configuration, the automatic image search or voice recogniser, the automatic restaurant-booker or cab-caller... They're all clerical work your computer doesn't make you do anymore, because it gained the intelligence, artificially, to do them for you. 
This takes me to Apple.  …     AI, Apple and Google — Benedict Evans

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