My grab bag of various diversions/essays mostly about machine learning and software engineering, but some other topics too.
2025.12 - Five game jams: Lessons learned
2025.04 - Procedural Textures with Hash Functions
2024.10 - Benchmarking std::{string, string_view, reference_wrapper}
2024.04 - A transformer walk-through, with Gemma
2023.03 - Metaphor thinking in deep learning
2022.01 - Rasterized ray tracing of sound in Javascript
2021.11 - Autodiff from scratch
2021.10 - How to train your classifier - an introduction to deep learning objectives
2021.09 - My phone case, the hidden state of an RNN
2020.03 - Write code for humans, design data for machines [part 1] [part 2]
2019.09 - Finding unique items - hash vs sort? [part 1] [part 2]
2025.10 - My Worldview — Christian and Bayesian
2024.02 - One {what} one vote