LLMs suffer the same problems as any Von Neumann architecture machine, It's called "key vulnerability". None of our normal control tools work on LLMs like ASLR, NX-Bits/DEP, CFI, ect.. It's like working on a foreign CPU with a completely unknown architecture and undocumented instructions. All of our current controls for LLMs are probabilistic and can't fundamentally solve the problem.

What we really need is a completely separate "control language" (Harvard Architecture) to query the latent space but how to do that is beyond me.

  https://en.wikipedia.org/wiki/Von_Neumann_architecture
  https://en.wikipedia.org/wiki/Harvard_architecture

AI SLOP TLDR: LLMs are “Turing-complete” interpreters of language, and when language is both the program and the data, any input has the potential to reprogram the system—just like how data in a Von Neumann system can mutate into executable code.