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“Oh my god! They linked in more than 64k of floating point library to compute the sqrt of an integer that is always less than 128!? For gods sake, just use a for loop counting up to 12! Or if a for loop seems liek too much work, how about a 128 byte look up table?” — The IDEs we had 30 years ago… and we lost
A recommendation engine that looks at my browsing history, sees what blog posts or articles I spent the most time on, then searches the web every night for things I should be reading that I’m not. In the morning I should get a digest of links. I also want to be able to give feedback on which were good suggestions and which weren’t to improve the next day’s digest. — The 28 AI tools I wish existed
Back in the days, I used to use Prismatic, and I was very happy with its recommendation engine. Recommendation engines and collaborative filtering are everywhere since then. What’s next?
Why use a language with 0-based indexing for linear algebra other than putting an additional cognitive burden on the students learning the subject? This is a recipe for the nefarious off-by-one error. And these errors are sneaky. The code might run but produce incorrect results and it’s a nightmare for the students (or the poor TA helping them) to figure out why. — Is Fortran better than Python for teaching the basics of numerical linear algebra?
Since I’m back to work tomorrow I got it out to see if it was charged enough for the train journey in the morning. 90% remaining. After 3 weeks. It wasn’t turned off, just closed. Why I’m Spoiled By Apple Silicon (But Still Love Framework)
/me is listening to “The Suburbs” by Arcade Fire
Elements of C Style: Oldies but goodies. #clang