This month, OpenAI announced their Codex app and my coworkers were asking questions. So I downloaded it, and as a test case for the GPT-5.2-Codex (high) model, I asked it to reimplement the UMAP algorithm in Rust. UMAP is a dimensionality reduction technique that can take in a high-dimensional matrix of data and simultaneously cluster and visualize data in lower dimensions. However, it is a very computationally-intensive algorithm and the only tool that can do it quickly is NVIDIA’s cuML which requires CUDA dependency hell. If I can create a UMAP package in Rust that’s superfast with minimal dependencies, that is an massive productivity gain for the type of work I do and can enable fun applications if fast enough.
It has been such a busy start to the year for Pokémon. We've been inundated with new Pokémon TCG releases, we've seen the launch of the first-ever Lego Pokémon sets, and we've prepared for nostalgic Pokémon games to make a return. Has Pokémon got anything left to give us? There's only one way to find out.
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"Today we're making one of the hardest decisions in the history of our company: we're reducing our organization by nearly half, from over 10,000 people to just under 6,000," he wrote.
.pipeThrough(serialize) // even more buffers...