Why it matters
You cannot solve a combinatorial engineering problem with a next token prediction engine. We learned this the hard way. Modern LLMs can write code, summarize research papers, and reason across massive datasets. But what happens when you connect them to mission-critical physical infrastructure with 50,000 live sensors,
My takeaway: Semantic Blindness: 500,000 Sensors Confused an LLM - Raahul Singh & Vanč Levstik, Phaidra is an enterprise-adoption signal. The practical read is to watch how deployment scale, data boundaries, operational ownership, and platform controls change as AI moves out of experiments.