[ilaksh]

OpenAI hype is definitely exaggerated. Seems like there might be a connection with Elon Musk somehow because all of his projects seem to get a massive amount of hype also.

The radiology thing, is it really the case that there are no startups in that area with useful AI software? Seems like he overstated that.

Part of this is a worldview difference. Many people truly believe that AGI is just around the corner, and that even before then, the narrow AI applications will significantly alter the world as they are deployed. And since no one can actually predict the future, it's an area where it's easy to have different worldviews.

Personally I think that it's true that there is a lot of poor reporting and companies that overhype results, but it also seems like people like Gary Marcus are really not keeping up to date with the true capabilities of DL systems. If he was up to date, why would he be so pessimistic about applications like radiology? There seem to already be a lot of strong results.

[unishark]

I think there are certainly issues with ML in radiology (i.e. lots of publications of low power studies or overfit models validated incorrectly), but I agree with you that Marcus was being unfair. It is principle a straightforward problem to solve with deep learning. The reason biggest reasons "no actual radiologists have been replaced" are probably just political/social. Hinton cannot be blamed for those hurdles.