One data scientist on the hype around artificial intelligence (2017)
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Re: One data scientist on the hype around artificial intelligence (2017)
#2I’m too scared to comment or say anything else though. It would be the equivalent of saying something negative about bitcoin on r/Bitcoin.
Re: One data scientist on the hype around artificial intelligence (2017)
#3I really enjoyed this article. AI has dramatically overpromised every decade since 1960. Advances have always been made, but why do they have to exaggerate so much about its potential? I’m too scared to comment or say anything else though. It would be the equivalent of saying something negative about bitcoin on r/Bitcoin.
Re: One data scientist on the hype around artificial intelligence (2017)
#4I really enjoyed this article. AI has dramatically overpromised every decade since 1960. Advances have always been made, but why do they have to exaggerate so much about its potential? I’m too scared to comment or say anything else though. It would be the equivalent of saying something negative about bitcoin on r/Bitcoin.
I'm not sure where you got that impression but skepticism of AI hype gets a lot of airtime in HN threads.
Re: One data scientist on the hype around artificial intelligence (2017)
#5I really enjoyed this article. AI has dramatically overpromised every decade since 1960. Advances have always been made, but why do they have to exaggerate so much about its potential? I’m too scared to comment or say anything else though. It would be the equivalent of saying something negative about bitcoin on r/Bitcoin.
Part of why we hype is because it’s how we get advancement. Yeah realistically the AI we all really want to see might be another three decades out, but if we want that to happen we have to get investors hyped about it now.
That's a partisan overstatement. It's how some other "we" gets funding, at best. Yes there's a correlation between getting funding and success, but to say the correlation between hype and success directly, seems disingenuous.
Re: One data scientist on the hype around artificial intelligence (2017)
#6I'm going to borrow that analogy of "teenagers perceptions of sex" - it's hilariously accurate for deep learning.
Re: One data scientist on the hype around artificial intelligence (2017)
#7I was expecting some evidence and then I hit "I hope you liked this article."
Re: One data scientist on the hype around artificial intelligence (2017)
#8I really enjoyed this article. AI has dramatically overpromised every decade since 1960. Advances have always been made, but why do they have to exaggerate so much about its potential? I’m too scared to comment or say anything else though. It would be the equivalent of saying something negative about bitcoin on r/Bitcoin.
Amara's law seems like a common human fallacy but it's also true that it's very hard to estimate correctly a growing trend. We have something that is obviously important and will have profound effect, but even small error in the estimates of technological proliferation can lead to 5-25 year time differences.
Another thing is the hype from outside the field. There are more people outside the field hyping it up than there are people inside hyping it. Investors, media and marketing are are powerful force when they jump in and they don't cool down easily.
Re: One data scientist on the hype around artificial intelligence (2017)
#9Re: One data scientist on the hype around artificial intelligence (2017)
#10This is a really good article, I'm impressed. If you read only one deep learning article this month, make it this one. I'm going to borrow that analogy of "teenagers perceptions of sex" - it's hilariously accurate for deep learning.
And, as someone who went through the data warehousing fad in the late 90s, there's a lot of naive belief in pouring in a lot of data and magic happening.
That said, there has been a lot of advance that, once it's happened, we just don't call it AI any longer. Route optimization (Google Maps), predictive analytics in some domains, image recognition. Yeah, a lot of it is just fuzzy pattern recognition but some of it is pretty good.
The more fundamental question IMO is how far DL can even take you. We've actually seen a lot of progress there but we also haven't seen a lot of forward motion in cognitive science for example. So do we just run out of steam in some of the areas, like autonomous vehicles, where we think we're doing pretty well today.