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Source channel @githubtrending · Post #15168 · Sep 25

#python#ai#context#embedded#faiss#knowledge_base#knowledge_graph#llm#machine_learning#memory#nlp#offline_first#opencv#python#rag#retrieval_augmented_generation#semantic_search#vector_database#video_processing Memvid lets you store millions of text pieces inside a single MP4 video file using QR codes, making your data 50-100 times smaller than usual databases. You can search this video instantly in under 100 milliseconds without needing servers or internet after setup. It works offline, is easy to use with simple Python code, and supports PDFs and chat with your data. The upcoming version 2 will add features like continuous memory updates, shareable capsules, fast local caching, and better video compression, making your AI memory smarter, faster, and more flexible. This means you get a powerful, portable, and efficient way to manage and search huge knowledge bases quickly and easily. https://github.com/Olow304/memvid

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Crypto M - Crypto News

@CryptoM · Post #65220 · 04/12/2026, 04:08 AM

🚀 Google Quantum AI Reduces Resources Needed to Break Bitcoin Signatures Google Quantum AI research has significantly reduced the estimated resources required to break Bitcoin's ECDSA signatures by approximately 20 times. According to NS3.AI, this advancement places the theoretical threshold near 500,000 physical qubits. The primary risk is associated with transaction signing and addresses with exposed public keys, rather than Bitcoin mining or the entire blockchain. #Google#QuantumAI#Bitcoin#ECDSA#Cryptography#Qubits#Cybersecurity#Blockchain#BTC