Max Slater’s site is a personal technical blog rather than a product or service. It collects essays written over several years on computer graphics, programming languages, systems programming, and applied math, alongside a small set of side pages such as photos, bookmarks, and course reviews from CMU.
The core content is a series of long-form posts. A multi-part Monte Carlo course covers quasi-Monte Carlo methods, rendering, sampling, continuous probability, and integration; other articles dig into spherical integration, neural graphics primitives, differentiable programming, rotations, and voxel rendering pipelines. Programming-language pieces include Oxidizing C++ and OCaml, a compiler bug investigation, and notes on optimizing open addressing.
The material is aimed at graphics programmers, compiler and language enthusiasts, and mathematically comfortable students who want derivations rather than quick recipes. Posts often assume familiarity with linear algebra, probability, or type systems, so beginners may find some entries steep.
A practical approach is to start from the Monte Carlo series index or the graphics blogroll, then follow tags of interest. The bookmarks page and course reviews add context on tools and coursework. Overall, it is a compact, high-signal archive for readers who prefer depth over volume.
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