cprimozic.net Blog

I've recently finished developing, training, and deploying a neural network-based recommender model.

Geotoy is a Shadertoy-inspired web app for building 3D meshes with code.

I, like many other devs, learned most of my coding by building projects.

For the past several years, I've been working on and off on a browser-based DAW and audio synthesis tool which is still stuck with the placeholder name Web Synth.

I took part in Advent of Code 2024 this year.

I recently finished up the process of fixing a bug in the Chromium/Google Chrome web browser.

For a couple of years now, I've been working on and off on some 3D scenes and levels that run in the browser.

There's been a fair bit of buzz about Kolmogorov-Arnold networks online lately.

As part of some other work I was doing that involved programmatically manipulating 3D meshes, I encountered the need to compute normals for them from scratch.

When I started off, my goal was simply to subdivide 3D meshes.

Over the past few years, I've built several different interactive embedding visualizations.

A couple of months ago, I happened across the announcement blog post from Cloudflare for their newly released foundations library for Rust.

I've been working on building a game engine of sorts in Three.JS, and along the way I've been creating some levels and demos for it.

This writeup introduces what I'm calling Bonsai Networks - extremely sparse computational graphs produced by training and pruning RNNs.

I recently spent some time building a browser-based signal analyzer (spectrogram + oscilloscope) as part of one of my projects.

There's a ton of attention lately on massive neural networks with billions of parameters, and rightly so.

This is a follow-up post that improves upon one I wrote yesterday.

Since releasing this article, I've been informed that there is actually an even easier and more efficient way of achieving the optimization detailed in this post.

Recently, I was experimenting with building small neural networks for sequence-to-sequence use cases.

I've been building a project over the past month or so — an interactive recommendation web app powered by a relatively basic neural network.

While teaching myself the basics of neural networks, I was finding it hard to bridge the gap between the foundational theory and a practical "feeling" of how neural networks function at a fundamental level.

I recently tried out SvelteKit for the first time.

Over the years, I've accumulated quite a collection of websites, web applications, APIs, and other services that I've built and continue to host publicly.

There's been a lot of discussion recently about working fast and being productive in software development, and I thought I'd share some of my own strategies that I've developed for that purpose.

If you listen to music using a modern platform like Spotify, YouTube, SoundCloud, or similar, chances are you've had songs programmatically recommended to you in some way or another.

Music Galaxy is is the culmination of several months of work with artist relationship data from Spotify.

For a recent project I've been working on, I wanted to include a graph showing the relationships between different artists on Spotify.

As web browsers have grown and evolved over the years, they've gained many APIs and functionalities that have made them into incredibly capable application platforms in addition to their original role of web page renderers.

TL;DR: There is a non-zero cost that scales linearly with the number of parameters AudioWorkletProcessors have.

Back at the beginning of 2020, I become involved with the people who founded SPF420 - a group of musicians and artists who had started hosting live concerts over an ancient video chat application called TinyChat years before virtual concerts or online eve…

Yesterday, I made a comment on Reddit that included a link to a screenshot I took using my personal screenshot hoster application.

Binaryen, the repository that contains wasm-opt, actually builds wasm-opt for alpine/statically linked as part of its CI Pipeline.

A spectrogram visualization of the output of a wavetable of which this article details the construction Wavetable Synthesis is a method for synthesizing audio by interpolating between different pre-sampled waveforms stored in a table.

While working on the API backend for my Spotifytrack application, I encountered a situation where I needed to fetch two separate pieces of data from the database and combine them both into the response.

I'm feeling really positive about Rust's prospects of popularity and wide-spread adoption in the future.

Google Cloud has a service called Cloud Run, a platform for running stateless webservers via containers in the cloud.