Imagine a computer virus that constantly changes its appearance, making it nearly impossible for antivirus software to detect. This isn't science fiction—it's the potential threat posed by metamorphic malware. And now, large language models (LLMs) like ChatGPT, designed to generate human-like text, are adding a new dimension to this threat. These LLMs can synthesize code, meaning they could potentially create malware that rewrites itself, constantly evolving to evade detection. Researchers are exploring this very possibility, investigating how LLMs could be used to generate sophisticated metamorphic malware. One study introduced a framework for creating 'self-testing' program mutation engines using LLMs. These engines don't just randomly change code; they test the changes to ensure the malware still functions as intended. This means that even if antivirus software adapts to one version of the malware, the LLM can generate a new, functional variant. While current LLMs are too large to be embedded directly into malware, researchers warn that future, more compact versions could be integrated into malicious programs. This highlights the importance of developing robust malware detection systems that can identify not just specific code signatures, but also the underlying behavior of self-mutating malware. The future of cybersecurity may depend on our ability to outsmart AI-powered viruses.