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Retrieved on: 2025-02-17 12:21:58
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Summary
The article discusses vulnerabilities in AI agents, like those from Anthropic, which are prone to attacks that can exploit large language models (LLMs). It highlights issues such as phishing and information poisoning, emphasizing the need for better AI alignment and monitoring. The key concept 'perplexity' ties to the potential confusion or unpredictability in LLM behavior when faced with malicious data. The tags relate to the broader context of AI technologies and security challenges.
Article found on: www.heise.de
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