I really think this characterization is misleading. It's not "getting smart", only more tailored toward a specific usage, better curated dataset, better harness, better prompts, better labeling of results, documentation of failures and success, etc.
The outcome is (hopefully) overall better but this anthropomorphized wording makes it sound like AI itself is somehow changing or evolving. No, both academia doing fundamental research, industry making it available commercially, and finally security researchers making the entire tooling and process packaged as a service are actively shaping it to make it better. There is no "it".
Or are you just defining "fast" as something only horses can do, and considering that a useful insight about cars?
edit: downvotes but no rebuttals. feel free to show me where the agency, reasoning from first principles, world model etc exists. or you can ask an llm and they'll tell you they don't have those.
Every software update introduces and reintroduces them
Seems like we're already in the middle of this phase, but rather than dying down, the 'reports' have just gotten more noisy and obtuse, making it more difficult to establish the actual degree of threat / attack vector.
As a bonus if you find any actual zero-days in your mass-generated ones you don't report it and get a new one to play with.
Assuming, of course, said state agency is operating under sufficiently strategic governance and management…