54 karma · joined November 9, 2018
The actual work to be done was fairly straightforward; the difficulty was collecting all the different undocumented hardware APIs and figuring out how to use them. :P
A lot of the PL students at my school are extremely wary of doing any follow-up work on ideas that have been published before, even if the implementations of those things are obviously shoddy and don't really demonstrate that the idea works. There's a lot of novelty chasing, which is part of what's pushing people to include deep learning in their work, since it often allows them to claim novelty, even if their results aren't very good.
Cell service plans come with separate tariffs for regular data and "social" data, which works only in the walled garden of Facebook, WhatsApp, Snapchat, Insta, etc., and the "social" data is much cheaper.
Even though the positive reinforcement was not as draconian as stuff like this, where they're obviously trying to dissuade use, it was still pretty creepy.