to me, the “I” in AI matters. a token predictor isn’t intelligent. ML used to train an LLM fits under AI academically, sure, but the output model isn’t “intelligent.”

NLP-to-code is a great use case. but replacing engineers implies system-level understanding, which LLMs are not capable of.