Also, if you like math go learn some functional programming. The ideas of abstract algebra, which you will encounter in FP, are increasingly relevant to machine learning as well. E.g. http://jmlr.org/proceedings/papers/v28/izbicki13.pdf

i hear you on that one

> and I do everything I can to isolate myself from that.

but still, you can't stop thinking about design entirely. when a new ideally-pure-C-but-C++-if-you-really-need-stl library is ready to actually be put to use you'll have to put an api of some sort on it. hopefully that api will be informed by your use of other people's apis, both good and bad.

don't forget that the whole point of computers is that they're immediately useful. you can still do most of the math you want with a pencil, paper, and stack of books.

Right now I'm working through SICP, having just finished PLAI, do you have any suggestions for a book on compilers I could do next? I was recently steered away from the dragon book as it's "missing a lot of recent compiler research", but that person had no good alternative.

I think there is definitely three main groups of software people: those that wire together languages and frameworks, those that write languages and frameworks, and those that use a tiny subset of languages to do research. My problem is I think I've been heading down the path of learning that leads more to the second, and you sound like someone who manages to do a job similar to mine, but by being good at that second far more interesting path. I'd be really interested to hear any advice you have. Do you basically have to just work alone?

What sort of things have you been learning that you would recommend that are off the beaten path of just another mvc framework? I'm thinking of learning about compilers next, but I'd like a book to work through rather than just "the internet". Also I'm trying to catch the type safety bug by working through Real World Haskell, I'm open to other suggestions for that too.