paw

I am usually also sceptical about AI but I think it could be a useful technology (LLMs). However, it seems to me that currently we have the technology but did not find the best use cases for it. So we throw it like cooked pasta against the wall in the hopes that something sticks at the wall.

What are your goals?

If you want to learn another language just for the fun of it (the best reason) than learn both.

Of you want to improve your tool set to be able to land a job, then there is no good answer. Probably some other high level language like Python, Java, JavaScript, C#. Etc.

Also: Zig bay be easier to get started when coming from C, because it is mostly imperative.

Rust introduces concepts from functional programming. This could be interesting for you, of you don’t have any experience in functional programming to get in touch with other programming styles. Or not, of you explicitly don’t want to learn such things.

I use both languages, and I enjoy both. Shameless plug: I’ve written a blog post ~ 2 years ago what I like about each language: https://zigurust.gitlab.io/blog/posts/three-things/

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Another tidbit: Operating systems (like Linux) usually provide a possibility to get entropy (ideally used as seed). Linux for example has /dev/urandom beyond others. Afaik, it uses the time between subsequent accesses to the hdd as one of the sources used to create the entropy.

A software solution usually can create “random” faster, with the drawback that its not actual random

The Mersenne Twister was a famous pseudo random number generator when I wrote my diploma thesis in 2009. Today, afaik, PCG (Permuted Congrentual Generator) are better.

From my opinion it is more computer science sorcery than math sorcery.

For true random generation you usually need some specialized hardware for it, that uses sone natural source of random. One could use the decay of a radioactive material as such a source or the noise one can get from audio input. Unfortunately, I don’t know what actual hardware uses.

For pseudo random generation, you usually use a seed (ideally a true random value or something with a high entropy) which you feed into an algorithm like Linear Congruental Generator (LCG) or Mersenne Twister (there are lots of algorithms).

One further important note: Tge use case forvwhich you need random numbers is important. A video game could accept a random number generator with “lower” quality while a cryptographic algorithm always needs a cryptographic secure random number generator (don’t forget: “don’t roll your own crypto”).

Finally there are quasi randim number generators, however this name is very misleading. The mathematical correct term is low discrepancy sequence. There are not random at all but can be used and have useful properties in some settungs where pseudo random number generators can be used. Never in a cryptographic algorithm, though.

European here. Is this actually true that waffle houses can get violent? If so, is there any explanation? I like waffles and never associated them with violence. Never been to a waffle house, though.

This is an old paper that it explains the basics: https://www.eecs.umich.edu/courses/eecs588/static/stack_smashing.pdf

Today there are a lot of mitigations where the steps of the paper don’t work anymore, but the general ideas should be still valid. I’ll hope you find the example you are looking for in there.

On another note: What is your intention? And can I participate 😈

The crowdstrike f*-up is so bad it travels back in time. That’s my best guess