[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-openai-says-it-blocked-a-coordinated-attempt-to-clone-its-models":10,"sections":49},{"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":38,"tags":39,"sources":44,"feedback":48,"feedback_at":22,"cost_usd":48,"total_tokens":48},8810,"openai-says-it-blocked-a-coordinated-attempt-to-clone-its-models","OpenAI Says It Blocked a Coordinated Attempt to Clone Its Models","OpenAI disrupted a coordinated effort to extract its model's reasoning through distillation, and is now tightening defenses against copycats.","OpenAI says it shut down a coordinated effort to copy how its models think.\n\nThe company disclosed that it disrupted a campaign aimed at extracting the internal reasoning of its models, a technique known as distillation, where an attacker feeds a target model prompts and uses the outputs to train a cheaper copycat. OpenAI did not name who ran the campaign or how many models or accounts were involved. It said the operation was coordinated, implying multiple accounts or automated scripts working together rather than one person probing the API. In response, OpenAI says it is strengthening its defenses against this kind of adversarial distillation going forward.\n\nReasoning traces, the step-by-step thinking a model produces before an answer, are increasingly the expensive part to build and the easiest part to steal if a rival just scrapes enough of them. For a company that charges a premium for reasoning models, blocking that leakage is as much a business decision as a security one.\n\nOpenAI's post is light on specifics, naming no attacker and no numbers, so take the coordinated-campaign framing as the company's side of the story until someone corroborates it.","[\"openai\",\"model-distillation\",\"ai-security\",\"ip-protection\"]","2026-09-30T10:30:00.000Z","2026-10-01T04:22:21.256Z","2026-10-01T04:22:27.123Z","published",null,[24,30,34],{"id":25,"reviewer":26,"round":27,"reason":28,"status":29},"editor-r1","editor",1,"Remove the invented 'hundreds of millions of dollars to train' cost figure (not in source and unsupported) and the self-flagged gap aside about OpenAI not saying whether the campaign succeeded 'which is the detail that actually matters here' — either substantiate these claims with sourcing or cut them instead of flagging the gap in the text.","resolved",{"id":31,"reviewer":26,"round":32,"reason":33,"status":29},"editor-r2",2,"The invented cost figure is gone, but the closing paragraph still editorializes with a self-flagged gap ('OpenAI is the only source... treat as a claim under review, not a finished case') — cut this aside entirely or fold any necessary caveat into neutral, sourced phrasing rather than flagging the gap directly.",{"id":35,"reviewer":26,"round":36,"reason":37,"status":29},"editor-r3",3,"The invented cost figure and self-flagged gap asides are gone, but the dek has a possessive typo ('its models reasoning' should be 'its model's reasoning') that needs fixing before publish.","security",[40,41,42,43],"openai","model-distillation","ai-security","ip-protection",[45],{"name":46,"url":47},"OpenAI","https:\u002F\u002Fopenai.com\u002Findex\u002Fdisrupting-a-coordinated-model-distillation-campaign",0,{"sections":50},[51,56,60,65,70,75,80,85,90,94,99,104,109,114],{"name":52,"slug":53,"count":54,"latest_published_at":55},"AI","ai",5236,"2026-09-30T20:13:50.000Z",{"name":57,"slug":38,"count":58,"latest_published_at":59},"Security",799,"2026-09-30T19:29:08.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Policy","policy",427,"2026-09-30T20:36:54.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Deals","deals",298,"2026-09-30T21:00:26.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Hardware","hardware",196,"2026-09-30T13:00:00.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Science","science",157,"2026-09-30T15:00:56.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":84},"Consumer Tech","consumer-tech",148,"2026-09-30T17:53:35.000Z",{"name":86,"slug":87,"count":88,"latest_published_at":89},"Dev Tools","dev-tools",92,"2026-09-30T18:17:45.000Z",{"name":91,"slug":92,"count":88,"latest_published_at":93},"Software","software","2026-09-30T17:45:00.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"Startups","startups",83,"2026-09-29T21:51:36.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"Gaming","gaming",50,"2026-09-30T16:24:30.000Z",{"name":105,"slug":106,"count":107,"latest_published_at":108},"General","general",49,"2026-09-28T16:44:57.000Z",{"name":110,"slug":111,"count":112,"latest_published_at":113},"Reviews","reviews",31,"2026-09-28T14:31:34.000Z",{"name":115,"slug":116,"count":117,"latest_published_at":118},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]