Now with More Post Mythos Apocalypse!

Looping Large Language Models (LLMs) represent a significant shift in cybersecurity, as these autonomous agents can execute long-horizon tasks—such as identifying and exploiting vulnerabilities—without human intervention. While recent media reports regarding models like Anthropic’s Mythos often rely on sensationalism, the underlying capability for AI to iterate until a success criterion is met poses a genuine threat to poorly secured, legacy infrastructure like power substations and water systems. Beyond these technical risks, the conversation highlights the necessity of adopting local, open-weights models like Gemma 4 for privacy-sensitive tasks, as cloud-based alternatives remain vulnerable to data exposure. Ultimately, effective defense requires a "Swiss cheese" model of security, where organizations must continuously patch vulnerabilities and implement multiple, overlapping layers of protection to mitigate the increased efficiency of AI-driven hacking tools.