Someone at work brought this up during lunch, and I read it after my break. I’m more on the ML/Big Data side of things, but as an aspiring writer, I can very, very much attest to the frustrations of NLPers. I’m glad someone finally called out the academic trend of “over-selling” especially when it pertains to deep learning, which is a buzzword these days that receives a lot of hype.
I think the problem definitely starts in academia and the sense of competitiveness there, but I also wish that tech journalism was better. I remember reading this paper on using neural networks to separate the content and style of a piece of artwork; some articles that responded to this were so excited that they even deemed human artists obsolete. Or perhaps it wasn’t excitement so much as fear of the impending AI apocalypse. *sigh* I just wish for a more honest, more grounded coverage of what’s going on in the computer science community instead of the super-hyped up things we currently get both from the media and educational institutions.
And you know what? I also wish for more coverage on failed experiments in general. It’s great to hear about what’s working, but how do we know about things that people have tried before and didn’t quite work out? Isn’t that as informative as the successes?