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Comment by troupo

18 hours ago

Yup, and the agent will happily ignore any and all markdown files, and will say "oops, it was in the memory, will not do it again", and will do it again.

Humans actually learn. And if they don't, they are fired.

To me it sounds like a tooling problem. OP seems to be trying to use probabilistic text systems as if they enforce rules, but rule enforcement should really live outside the model. My sense is that there was a failure to verify the agent's intent.

The tooling that invokes the model should really define some kind of guardrails. I feel like there's an analogy to be had here with the difference between an untyped program and a typed program. The typed program has external guardrails that get checked by an external system (the compiler's type checker).

  • What tooling? It's a probabilistic text generator that runs in a black box on the provider's server. What tooling will have which guardrails to make sure that these scattered markdown files are properly injected and used in the text generation?