Нетаньяху указал на невозможность нового верховного лидера Ирана показаться на публике

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The paper demonstrated 90% success against knowledge bases containing millions of documents, using gradient-optimized payloads. What I tested is a vocabulary-engineering approach — no optimization against the embedding model — against a 5-document corpus. The corpus is obviously smaller than what the paper evaluated, so the success rate isn’t directly comparable. The value of a small local lab is reproducibility and clarity of mechanism, not scale. In a real production knowledge base with hundreds of documents on the same topic, the attacker needs more poisoned documents to reliably dominate the top-k — but the attack remains viable. The PoisonedRAG authors showed that even at millions-of-documents scale, five crafted documents are sufficient when using their optimization approach.

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Suppose you get a value for totalOwed that doesn’t seem right.

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关于作者

杨勇,资深行业分析师,长期关注行业前沿动态,擅长深度报道与趋势研判。

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