Wikipedia search-by-vibes through millions of pages offline (via) Really cool demo by Lee Butterman, who built embeddings of 2 million Wikipedia pages and figured out how to serve them directly to the browser, where they are used to implement “vibes based” similarity search returning results in 250ms. Lots of interesting details about how he pulled this off, using Arrow as the file format and ONNX to run the model in the browser.
Recent articles
- Designing agentic loops - 30th September 2025
- Claude Sonnet 4.5 is probably the "best coding model in the world" (at least for now) - 29th September 2025
- I think "agent" may finally have a widely enough agreed upon definition to be useful jargon now - 18th September 2025