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Source channel @githubtrending · Post #15518 · Feb 24

#rust#ai#ai_ocr#attention_mechanism#gnn#gnn_model#gnns#graph#graph_neural_networks#llm_inference#low_latency#mincut#neo4j#ocr#onnx#rust#vector#wasm RuVector is a free, open-source vector database that gets smarter with every query. Unlike static databases, it learns from usage via GNN layers, runs LLMs locally with no cloud costs, supports graph queries like Neo4j, scales freely across nodes, and deploys as a single self-booting file (125ms startup). Run with `npx ruvector`. You benefit from faster, more accurate AI search that improves automatically, zero operating costs, full offline/privacy control, and easy scaling—perfect for RAG, agents, or edge apps without vendor lock-in. https://github.com/ruvnet/ruvector

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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40824 · 03/18/2026, 08:32 PM

Only about 30 locations worldwide feature singing dunes, primarily crescent-shaped barchans, found in deserts like the Gobi, Mojave, and Taklamakan. These dunes produce deep hums or musical notes when sand avalanches slide down their slopes. The sound happens as grains of sand rub together, creating vibrations amplified by the dune’s structure, much like a violin or cello. The sand must be dry, with grains that are uniform in size and spherical, allowing for optimal vibration transfer. Acting like a natural instrument, the dune resonates and amplifies the sound, which can be heard up to 10 km away. This unique phenomenon can last for minutes, depending on the dune. Not all dunes sing, as specific conditions—like dry sand and the right grain size—are required for the sound. 🎶🏜️🎵 [Read and hear more] [Read and see more] @googlefactss #SingingDunes#DesertSounds#NatureScience#GeologicalWonders#MusicalDunes#Dune