Large language models (LLMs) are unlikely to break symmetric cryptography, according to an analysis. While LLMs can assist in finding vulnerabilities in asymmetric encryption, they lack the capabilities to compromise symmetric algorithms like AES. The complexity and mathematical underpinnings of symmetric encryption make it resistant to the pattern recognition and generation strengths of current LLMs. AI
IMPACT LLMs are not expected to pose a threat to symmetric encryption methods like AES.
RANK_REASON Analysis of LLM capabilities regarding cryptography.
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