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Re:How AI and Machine Learning Work at Apple by sangnoir on Thursday August 25, 2016 @08:56AM (#12358606)
> He's made enormous contributions to human knowledge, but doesn't seem to be interested in the hard work of bringing a product to market.

what exactly do you define as "the hard work of bringing a product to market"? To me, his work at Google certainly applies as bringing a product to market - the cat recognition deeplearning AI is a product.

Re:How AI and Machine Learning Work at Apple by leereeves on Thursday August 25, 2016 @09:29AM (#12358809)
To me, recognizing cats isn't a very useful product; that's just a demonstration of the technology.

That led to an interesting paper and a lot of potential applications.

By "the hard work of bringing a product to market", I meant the process of perfecting the product for actual applications.

Re:How AI and Machine Learning Work at Apple by sangnoir on Thursday August 25, 2016 @09:58AM (#12359015)
"recognizing cats" isn't a product at all - the AI behind it is the product, albeit barebones. I've heard folk on HN call such a thing an "MVP".

> By "the hard work of bringing a product to market", I meant the process of perfecting the product for actual applications

I'll have to disagree - "perfecting the product" is one of many roles required to bring a product to market. Other roles that are just as important are "dreamer/visionary", "practical starter/founder", "scale-up person". Sometimes one person can assume multiple roles, but rarely all roles, all of them are hard work.

Re:How AI and Machine Learning Work at Apple by leereeves on Thursday August 25, 2016 @10:38AM (#12359328)
I'm not sure what you mean by "the AI behind it". A particular model, the theory, the hardware, or something else?