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Comment by visarga | Hacker News Reader

AI winter is not "on its way". There is AI hype and anti-AI hype, and then there is actual practice. This article is anti-AI hype, just as bad as its opposite. In practice there are tons of useful applications. We haven't even begun to apply ML and DL to all the problems laying around us, some of which are quite accessible and impactful.

The hype cycle will pass with time, when we learn to align our expectations with reality.

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> AI winter is not "on its way". There is AI hype and anti-AI hype, and then there is actual practice. This article is anti-AI hype, just as bad as its opposite. In practice there are tons of useful applications.

I don't think the article was saying that AI isn't useful, but just that deep learning specifically is not an AI panacea, and that the current hype around AI is on its way out. The hype dying down and the associated buzzwords starting to repel money instead of attract it is all that's meant by AI winter, I believe, not that we'll run out of places where the techniques would be useful.

Give us a list then, because what I’m seeing is shoehorning “AI” into everything but not with significant results.

It's not my job to supplement the press or to do paper reading for you. If you're really interested in AI and don't just read the clickbait press, then open Arxiv and look there.

http://www.arxiv-sanity.com/

If, on the other hand, your opinion that AI is in a winter has been already decided without reading the latest scientific papers, then there's nothing I can say to you that will change your mind.

I think you will see the "hype" cycle last for a very, very long time.

It is a very different thing when the computer can start doing things that only humans could do.

Look at all the drama after Google did the Duplex demo.

We have barely even got started with self driving cars.

But ultimately it is about money and the profits that can be made from AI/ML are just huge. So that will fuel the hype.

But also AI changes the calculus of companies competing. Before a product was sold and deteriorate over time.

Now a product is sold and gets better over time. Increasing moats and making it much more difficult to compete. So AI becomes a far more valuable thing than maybe we ever had in the past.

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