Sure, but this is all _very_ early. You should see the kind of AI "techniques" some of those papers are using. It's not Imagenet, but people just take "academic

Sure, but this is all _very_ early. You should see the kind of AI "techniques" some of those papers are using. It's not Imagenet, but people just take "academic" models from papers (sometimes from prehistoric times, like 7-10 years ago) and try their luck with them. News flash: model architectures and training regimes are overfitted quite severely to academic datasets such as Imagenet, OpenImages and MSCOCO at this point. When you see a bear riding a bicycle, you don't complain that the bear rides poorly. You're in awe that it can ride at all. Wait until people who know what they're doing move in. Right now a lot of those people are in academia, trying to squeeze the last 0.01% of lift out of Imagenet dog breeds via architecture searches at $100K a pop.