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Source channel @githubtrending · Post #15558 · Mar 12

#python#agentic_ai#agents#memory Hindsight is a top agent memory system that helps AI agents learn over time by storing facts, experiences, and mental models like human memory, beating rivals on LongMemEval benchmarks with 91.4% accuracy. Add it easily with 2 lines of code via Python or Node.js clients, using simple retain, recall, and reflect operations for Docker or embedded setups. You benefit by building smarter, consistent agents that reduce errors, cut hallucinations, handle long-term tasks, and personalize chats—saving time and boosting performance in production. https://github.com/vectorize-io/hindsight

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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