As everyone who clicked on this post should know by now, C++ modules have been a thing since C++20. Oh, 2020, it’s been a while, huh. Back then, C++ modules to me were nothing but a distant dream. We need to wait for major compilers to adopt this new thing, CMake to support it, and LSPs like clangd to handle them properly. And looking at how some people are still writing C++ like ‘C with classes’, certainly this won’t come soon, right?

My earlier attempts with Machine Learning

When I started programming, I saw all sort of videos about training neural networks to play games. Y’know, those “AI learns to play name of game” videos that use some black-box optimization techniques like Genetic Algorithm (GA) to optimize the network and gradually gets better at playing that game. The most iconic video was probably SethBling’s MarI/O - Machine Learning for Video Games (which, not gonna lie, was much simpler than what I recalled). This technique originates from an old paper, Evolving Neural Networks through Augmenting Topologies, which I have just seen right now after checking out the SethBling video’s description. The main idea is to prepare some neural network topology, and the standard procedure of GA is used to furthermore optimize this model via tweaking its parameters.

So I guess I’ll post stuff that I’m interetested in here.

Hi, I guess.

Also I probably won’t post much because I seldom do anything that interesting. (I wish I could work on things that fascinated me, but idk the economy is kind of in a bad state right now.)

Here is some test LaTeX (inline and block): \( L_o(\mathbf{x}, \omega_o, \lambda, t) = L_e(\mathbf{x}, \omega_o, \lambda, t) + L_r(\textbf{x}, \omega_o, \lambda, t) \),