[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-ai-image-attribution-tool-runs-up-to-100000x-faster":10,"sections":40},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":30,"tags":31,"sources":35,"feedback":39,"feedback_at":22,"cost_usd":39,"total_tokens":39},9061,"ai-image-attribution-tool-runs-up-to-100000x-faster","AI Image Attribution Tool Runs Up to 100,000x Faster","A new tool traces AI generated images back to training data up to 100,000x faster than prior methods, with little accuracy lost.","Figuring out which training images shaped an AI generated picture just got a lot cheaper.\n\nResearchers describe a two-stage system, TID and TIDE, for diffusion models (the technology behind image generators like Stable Diffusion). TID measures how much a specific training image shaped a generated output by comparing score discrepancies, without retraining the model or storing per-sample gradients for every image. TIDE is a distilled, forward-only version trained to mimic TID's rankings using the diffusion model's own internal activations. Tested on CIFAR-10, ArtBench-10, and MS-COCO, TIDE kept most of TID's accuracy while cutting the cost per query by four to five orders of magnitude, roughly 10,000x to 100,000x, making attribution faster than generating the image in the first place.\n\nAttribution tools matter because artists, publishers, and regulators keep asking whose work trained a given model and how much credit, or liability, that deserves. Existing attribution methods are accurate but need per-sample gradient computation, which makes them too slow to run at the scale of a commercial image generator. A tool fast enough to run in milliseconds could actually ship in production instead of staying a research demo.\n\nWhether any company running a popular image generator wants to install it is a separate question; a fast attribution tool is only useful to a business that actually wants the answer.","[\"ai\",\"diffusion-models\",\"training-data\",\"research\"]","2026-10-01T04:00:00.000Z","2026-10-01T17:58:22.112Z","2026-10-01T17:58:27.655Z","published",null,[24],{"id":25,"reviewer":26,"round":27,"reason":28,"status":29},"editor-r1","editor",1,"The headline flatly claims '100000x' but the body reports a range of four to five orders of magnitude (roughly 10,000x-100,000x) — rewrite the headline\u002Fdek to say 'up to 100,000x' or cite the range directly instead of stating the top-end figure as if it were the single measured result.","resolved","ai",[30,32,33,34],"diffusion-models","training-data","research",[36],{"name":37,"url":38},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.38776",0,{"sections":41},[42,45,49,54,59,64,68,73,78,82,87,92,97,102],{"name":43,"slug":30,"count":44,"latest_published_at":18},"AI",5488,{"name":46,"slug":47,"count":48,"latest_published_at":18},"Security","security",809,{"name":50,"slug":51,"count":52,"latest_published_at":53},"Policy","policy",429,"2026-10-01T02:26:17.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":58},"Deals","deals",298,"2026-09-30T21:00:26.000Z",{"name":60,"slug":61,"count":62,"latest_published_at":63},"Hardware","hardware",196,"2026-09-30T13:00:00.000Z",{"name":65,"slug":66,"count":67,"latest_published_at":18},"Science","science",162,{"name":69,"slug":70,"count":71,"latest_published_at":72},"Consumer Tech","consumer-tech",149,"2026-09-30T22:57:11.000Z",{"name":74,"slug":75,"count":76,"latest_published_at":77},"Dev Tools","dev-tools",93,"2026-10-01T02:30:48.000Z",{"name":79,"slug":80,"count":76,"latest_published_at":81},"Software","software","2026-09-30T21:41:11.000Z",{"name":83,"slug":84,"count":85,"latest_published_at":86},"Startups","startups",84,"2026-09-30T20:39:09.000Z",{"name":88,"slug":89,"count":90,"latest_published_at":91},"Gaming","gaming",51,"2026-09-30T16:24:30.000Z",{"name":93,"slug":94,"count":95,"latest_published_at":96},"General","general",50,"2026-09-30T21:37:54.000Z",{"name":98,"slug":99,"count":100,"latest_published_at":101},"Reviews","reviews",31,"2026-09-28T14:31:34.000Z",{"name":103,"slug":104,"count":105,"latest_published_at":106},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]