| This is a list of your phrases in this comment that I find, in my opinion, condescending. > And time will tell who was right. > You see, when you make any argument > You might also note that this is not a scientific paper, but an opinion. Yes, nothing more than an opinion. > And yet this opinion appears to shared by quite a few people, and makes a bunch of other people feel insecure. Perhaps there is something to it? We will see. > So far you have not provided such an argument I immediately identified this same tone in your paper. In your argumentation, you quite agressively hinted hat people which don't share your views are not very intelligent. You also have a tendency to present your sayings as prophetic, which appeared multiple times both in the paper and in this comment. These observations put me in alarm towards your arguments, which I found mostly weak, sometimes used in bad faith. I flagged as such the Twitter argument, analysing the frequency of A. Ng's tweets, and denouncing its "outrageous claims", with an example where the AI score is overall only 0.025 less accurate than a practician. I also thought that you used a different (your own) definition of scaling than most, and used it to make an argument, which was therefore unconvincing (but parent said that already). Overall, to me, this was not a very pleasant read, and I dislike the fact that you attack the hype on machine learning by enjoying the polarization that comes with anti-hype articles such as yours. I also don't think that making people feel insecure is such a great indicator that what you're saying is relevant or prophetic. I hope this helps you prophecies https://www.physics.ohio-state.edu/~kagan/AS1138/Lectures/Go... ;) |