Turning Google into an Explorable Knowledge Graph Using Pure k-NN (opens in new tab)

TL;DR: I ran K-Nearest Neighbors (KNN) over a Google search corpus to find cross-query connections no single search can ever surface. Human learning is all about building connections in your head. Like last week, I read an ArXiv paper on quantization, which prompted me to do some Google-fu for a FP16 vs INT8 comparison on NVIDIA’s forums, and then make a site:github.com search for a Llama.cpp fork with optimized kernels to try it myself. This takes time. Google — or an LLM — can’t make these ...