So what are some actual quotes or references of deep learning researchers (*not* media or popular science reporters) overhyping, overclaiming, etc? My hunch is that the anti-hype pushback is ironically hyped.
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Thanks. I agree the former is overshooting, though the context in which I've heard it was more as a rule of thumb regarding the types of things we should try to apply ML/DL to? In that regard it isn't that far fetched. And Geoff is notoriously tongue-in-cheek :)
and no re. @AndrewYNg. it’s a quote fromhttps://hbr.org/2016/11/what-artificial-intelligence-can-and-cant-do-right-now …
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Hmm, we no doubt are each coming with our own biases and preconceptions, but that context seems to me to be filled with tons of hedging, and makes it clear that the quote in question is not some categorical statement of truth
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This Feb 2018
#AI#HealthTech quote from the Hyperbolic@babylonhealth CEO, Ali Parsa, is pretty categorical... “By the end of the year, we will be an order of magnitude more accurate than any human doctor"https://sciencebusiness.net/healthy-measures/news/your-virtual-doctor-will-see-you-now-ai-app-accurate-doctors-80-primary-care …
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