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.
Fast, private classification with typed answers. Now in every NobodyWho binding.
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.
Qwen3.5-0.8B on NobodyWho vs. Claude Haiku 4.5, reading the same invoice.
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.
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.