LLMs won't break symmetric crypto
What happened
Researchers have found that Large Language Models (LLMs) are unlikely to break symmetric cryptographic systems, which are widely used to secure online transactions and communications. This is because LLMs lack the computational power and memory to perform the necessary brute-force attacks. The study suggests that symmetric crypto remains secure against current LLM capabilities.
Why it matters
This finding is significant for the AI industry as it highlights the limitations of current LLMs in breaking certain types of encryption, and may influence the development of more secure cryptographic systems that can withstand future AI advancements.
Is this a big deal?
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