While in most cases I’d prefer reading the prose/thoughts of a fellow human, these notes aren’t for my own or anyone else’s enjoyment, nor am I trying to connect with anyone through my writing here. To be honest, I’m not even a great writer, and have limited time to refine my thoughts and produce well-organized and thoroughly cited works of literature.
At this point, I’d give ~90% of the credit to whatever frontier model polished and organized my thoughts for presentation here (“co-authorship” according to the git history…), and would describe myself as more of a reviewer/curator of these notes than the actual author.
If you haven’t built up a tolerance for AI slop, you might want to close this tab now. If you’re a student learning something for the first time and want a rigorous and vetted introduction to a topic, I wouldn’t look here. If your name is Elijah Melton and you want a refresher on something you learned a half-decade ago, then maybe these notes will be useful to you.
What if it’s wrong?!?
LLMs are wrong all the time, but the amount they’re wrong has quickly trended downward, and even seems to approach never when frontier models are anchored to the truth by documents without errors. In 2026, I wholeheartedly expect my own writing to contain more mistakes than most frontier models.
All that being said, yeah, there are probably a few errors here and there. I’d expect the majority of them are caused either directly by my prompt, or by errors in source documents I/the model cite. Still, any time I notice one, I try to fix it. If you’re the type of person that must right the wrong you notice in the world, feel free to open a PR to correct it.