You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
It is curious (or perhaps not at all) that as ML research has grown more chaotic and anarchic in the past few years (barrier for entry has gone down -- a great thing -- which is ONE factor), it has also become much more homogeneous (idea generation wise) than it was 10 years ago.
I don't think there are fewer novel ideas. What happened is that the overwhelming majority of the increase in papers consists of derivative papers (unsurprising: scale requires commoditization, mass production requires a mold). Original ideas are still around, just more diluted.
I keep thinking that might be the case; you may be right. But I am not too sure, actually. It seems to me to be a phase of greedy exploit. I have started respecting math depts much more than before now. They do their own thing, and don't need to be show-men, so they are freer.
The second part of the above was an aside. Anyway, it is just a perception, and I hope it is wrong.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
