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NativeMEM achieves a staggering success rate of 98.7% on real robots by compressing visual histories into single tokens, revolutionizing long-horizon robotic manipulation.
RAG systems are far more vulnerable to subtle, word-level poisoning attacks than previously thought, achieving 90% success rates even against black-box models.