Why AI automated maths early, and how mathematicians are reactingHow mathematicians responded to OpenAI's October 2026 maths release, and what their responses suggest about the order in which AI automates different kinds of work. 1. Why AI automated maths early In Oct 12 · 9 min readinfocruncher.hashnode.dev
Static embeddings: a practical guide to model2vecSentence-transformer embeddings work well, but they are slow on a CPU. For a few thousand texts, the speed doesn't matter. When you embed millions of texts, or need embeddings within a tight latency bSep 25 · 8 min readinfocruncher.hashnode.dev
Open alternatives to JevThe open System One models you can run yourself Jev is a week old and has been hard to avoid since launch. TypeSafe's "System One" model is built to be called by software. You post one state plus a maSep 23 · 33 min readinfocruncher.hashnode.dev
Lecture summary: Trends in AI by Jeff DeanJeff Dean, Chief Scientist for Google Research and Google DeepMind presents his talk "Important Trends in AI: How Did We Get Here, What Can We Do Now, and Where are We Headed?" as part of the PrincetoSep 23 · 11 min readinfocruncher.hashnode.dev
Embedding model dimensions for image search: what the published evidence showsPublicly published results suggest that embedding vectors often add cost without meaningfully improving image-search quality, so smaller dimensions are worth evaluating. 1. Two common assumptions abouSep 23 · 14 min readinfocruncher.hashnode.dev
