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Today's AI agents are surprisingly inept at navigating the messy reality of digital workspaces, failing to reach even 70% accuracy on tasks that require understanding file dependencies.
LLMs can move beyond simply assisting static analysis to orchestrating it, enabling the discovery of critical zero-day vulnerabilities.
LLM-controlled robots can be made significantly safer by filtering unsafe natural language commands *before* they're executed, preventing downstream errors.
