Provenance became a prompt setting: OpenAI's Russian cluster asked ChatGPT to hide its accent

Instructing a model to hide linguistic clues is one line of a prompt, and prompt lines are free. The operators of this cluster told ChatGPT to conceal anything indicating their Russian provenance, and most of what they published came out in English ^[6]. Defensive attribution of text still leans on the residue a first language leaves behind: dropped articles, calqued idiom, the flatness of a machine-translated paragraph. That residue does appear in this case. It does not appear in anything the model wrote.

By OpenAI's account, articles on ibi.institute were copied from academic writing, in some cases with false attribution, while others seem to have been drafted by a Slavic speaker and then machine translated into English, and there is no evidence any of them came from ChatGPT ^[8]. The generated material was the promotional layer, the posts and comments pushed onto Substack, Telegram, X, Facebook and LinkedIn ^[2]. The half written by hand carried its origin. The half written by the model had that removed on request.

So the case was not made on the language of the output. OpenAI says the investigation started from AI-generated social media posts and widened into the website, the index and the effort to disguise the operators' origins ^[4]. The identifying material sits on the account side: VPNs used to get around access restrictions ^[1], a profile picture generated for a Telegram channel called American Observer, and repeated requests for Russian-language summaries of that channel's activity ^[11]. None of that is legible to anyone outside the model provider. An outside researcher working from the artifacts gets the version the operator configured.

The authority prop repays a close read, because people built it. The Burke, or Sovereignty, Index sums seven components (political, economic, technological, information, cultural, cognitive and military), each scored against a maximum of 100, for a cumulative total between 100 and 700 ^[10]. Russia scores 601.4, which places it fourth, behind the United States at 650.9, China at 649.1 and Switzerland at 610.7 ^[14][16]. An index that OpenAI assesses was created to project Russia favourably and criticise Western countries ^[9] leaves Russia 49.5 points short of the United States ^[17], while the accompanying country report calls it one of three world powers with full digital and military nuclear sovereignty ^[15]. That is calibration for plausibility rather than for a win, which is the same instinct as the de-tell prompt.

The ban costs the cluster its accounts. It does not cost it the domain registered in February 2025 ^[7], the self-described expert community based in Israel ^[3], the republished papers or the index. OpenAI's own reading is that the significance lay in the infrastructure rather than the audience, which peaked at Telegram channels of roughly 10,000 to 20,000 followers each ^[12][5], and it describes the model here as a supporting tool inside a broader effort to manufacture authority and obscure where narratives come from ^[13]. Model access was the replaceable component.