LLMs are better at harder things
Now is a good time to start using hard technologies. Embrace them with LLMs.
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Now is a good time to start using hard technologies. Embrace them with LLMs.
WASM targets, GPU backends, extensions vs. websites, and browser support: what it actually takes to run an LLM in the browser.
A fully offline React Native transcription app built with NobodyWho and Whisper, compared against YouTube’s own subtitles.
wasm32 caps memory at 4 GB, too small for most language models. Here’s how we’re adding a wasm64 Emscripten target to Rust upstream, a big milestone toward running NobodyWho in the browser.
Qwen3.5-0.8B on NobodyWho vs. Claude Haiku 4.5, reading the same invoice.
How we replaced paid code review services with Pi, GLM 5.3 and one GitHub Action, for reviews we fully control.
I'm a big fan of pi-coding-agent. I'm also a big fan of thinking about programming languages and their properties. When I combine the two, something feels dissonant.
NobodyWho vs RunAnywhere compared on performance, features, platform support and licensing.
Everyone is talking about Jev - here it is in 25 lines of Python.
Mobile memory warnings and handling them in Rust.