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LLMs don't just mimic human bugs—they fundamentally skew system failure distributions toward catastrophic crashes that standard deterministic fault-injection pipelines fail to surface.
LLM-generated PowerShell malware exhibits an alarming 84.5% similarity to real-world threats, underscoring a new frontier in cybersecurity risks.
Forget LLMs, simple process metrics like code age and developer activity are the real MVPs for predicting bugs that slip into production Python code.