TL;DR: Tesler’s Law, the conservation of complexity, says a system has an inherent amount of complexity that can be reallocated between owners but never deleted. The useful move is to split that into …
2026
TL;DR: Generic coding-agent leaderboards don’t tell you which model or tool fits your work at a budget you’re willing to spend. So I built a small task set that mirrors my real work and ran an open-so…
TL;DR: Standard self-attention costs on the order of n² in the sequence length n, in both arithmetic and the attention-score memory it materialises. Almost every long-context architecture headline of …
TL;DR: Hyrum’s Law says that with enough users, every observable behavior of your API becomes something someone depends on, whether you documented it or not. The implementation quietly becomes the int…
🎬 Also available as a blog walkthrough video: a narrated screencast of this post. TL;DR: Twenty years ago, a year-long university project group I was part of built a team of soccer-playing cube robots…
TL;DR: Autoregressive LLM generation has two phases with different bottlenecks: prefill processes input positions in parallel and is usually compute-intensive, while decode produces tokens sequentiall…
🎬 Also available as a blog walkthrough video — a short narrated screencast of this post. TL;DR: Conway’s Law says a system’s structure ends up mirroring the communication structure of the organization…
TL;DR: Post-quantum cryptography stopped being a research-paper topic. The reason to care today is “harvest-now, decrypt-later”: an adversary records your encrypted traffic now and decrypts it once a …
TL;DR: The thing that makes an agent get better over time is a loop, and the loop is the same whether you buy it or build it: capture raw interaction, consolidate it on a schedule, and keep the lesson…
TL;DR: Information theory says prediction and compression are the same thing measured two ways. That gives the cleanest mental model I know for what a large language model does: it is a compressor of …