letitgo12345

18 ms·

1. 181.▲
   by letitgo12345 12y ago

   Some formulations of protein folding are NP complete. That doesn't mean those models always correspond to reality. There's no evidence that nature is solving an NP hard problem when folding proteins (See the paper NP complete prob
2. 182.▲
   by letitgo12345 12y ago

   Science is a very stochastic process though. Yes, not a lot of research is eventually useful but that's because chance can play a huge role. If the success rate is 1%, then investing less will not necessarily increase the success rate.
3. 183.▲
   by letitgo12345 12y ago

   You can get several interesting jobs that are not just doing CSS. As a quant, you can be doing ML to predict the stock market or hard core network coding to make placing orders faster. In a data scientist job you'd be doing data mining
4. 184.▲
   by letitgo12345 12y ago

   Dunno about other fields, but atleast if you're doing a PhD in CS/math/stats, the industrial options (tech, finance, data scientist, etc.) are great enough that this article posts too bleak a picture imo of doing a PhD and tr