From the WTAF dept:
Malware developers are now adding text about nuclear and biological weapons to their spyware to evade AI-based security scanners.
tl;dr: The inclusion of content that LLMs are trained to refuse -- such as information about nukes and bioweapons -- can effectively prevent the LLM from continuing to analyze the threat.
"This header appears designed for AI-mediated analysis, not for Node, Bun, or Python. It attempts to derail scanners or analyst copilots that feed the beginning of a file to a language model without clearly isolating the content as untrusted data. In weak pipelines, this can cause refusal behavior, prompt confusion, context pollution, or premature classification before the scanner reaches the actual malware."
IDK why, but this reminds me of the Calvin & Hobbes cartoon where Calvin asks his mom for stuff she will never give him in a million years, and then he just asks for a cookie.

If AI displaces human workers faster than the economy can reabsorb them, it risks eroding the very consumer demand firms depend on. We show that knowing this is not enough for firms to stop it. In a competitive task-based model, demand externalities trap rational firms in an automation arms race, displacing workers well beyond what is collectively optimal. The resulting loss harms both workers and firm owners. More competition and "better" AI amplify the excess; wage adjustments and free entry cannot eliminate it. Neither can capital income taxes, worker equity participation, universal basic income, upskilling, or Coasian bargaining. Only a Pigouvian automation tax can. The results suggest that policy should address not only the aftermath of AI labor displacement but also the competitive incentives that drive it.