However, that would clearly make your phone look suspicious from forensic analysis. To counteract that, you have two hidden volumes leaving you with three total systems: your insecure system (first password), the honeypot volume for “clever” actors to find, and then the truly secure volume.

I think one honeypot would be ideal. It needs to be convincing and have data that seems sensitive which would take a lot of effort. Put your nude photos there or something.

It’s obvious why you want to inline memcpy, but the specialization is more interesting. For example, I’ve seen the compiler optimize a memcpy with a static number of bytes and then use SIMD registers to do the copying with no loop at all. It can even be smart enough to take advantage of memory alignment for this.

Optional homework is often a disaster. At best, students would do it right before an exam and the goal of education is not to just pass exams. They’d probably still get a lower score than if they did the homework when they were supposed to.

What I think is better is to have a due date, but just make the maximum 10% each day it is late. So after 2 days, the highest score you could receive would be 80%.

I liked that system because it gave some flexibility with deadlines while still encouraging you to turn things in on time.

Jupyter also has a janky execution model. It doesn’t track dependencies so you have to be very careful in how you separate cells from one another and just running the whole notebook every time seems kind of pointless vs just writing a pure Python script.

Basic microeconomics is just that: basic and thus an oversimplification.

Hell, even if you’re not moving things around explicitly, don’t forget that vectors resize themselves. If you use Box, then these resizes will be less painful with large objects.

I deliberately avoid full vibe coding since I think doing so will rust my skills as a programmer. It also really doesn’t save much time in my experience. Once I have a design in mind, implementation is not the hard part.

I actually sped up a script the other day that had been written in bash by 200x by moving it over to Python and rewriting the regexes so they could run on whole files all at once instead of line by line. Performance problems are most often from poorly written code in my experience, not a slow language.