One chip announcement can contain a concept, a benchmark, a deployment plan, and an economic promise. On X, they often arrive as one story. But they do not support the same conclusion. Silicon Atlas follows new AI hardware through a recurring chain: Constraint → Architecture → Evidence → Economics In my new article, The Evidence Ladder for New Silicon, I turn that method into eight practical questions centered on two decisions: 1. What does the evidence support today? 2. What is the next test that could change our judgment? I apply the framework to three claims at very different stages: • Samsung zHBM: Level 0, disclosed target • OpenAI Jalapeño: Level 4, reported workload result • AWS Trainium2: Level 6, reported operation at scale These are evidence positions for specific claims, not product scores. The full article includes the source boundaries, a causal diagram connecting component gains to system value, and a reusable Evidence Note for analyzing the next announcement. It is free on Substack: I’ll also share a condensed, X-native walkthrough here soon.