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Lukáš Eršil stated that Claude AI created a 3D model of the National Theatre for him after four days of interaction and adjustments, mostly during the evenings. According to him, the model captures the building in seven stages from the foundations to the dome from 1868 to 1883, the fire in 1881, and the subsequent restoration. It also includes a section of the building, a ten-layer X-ray of the technical equipment, and a night scene with the illuminated facade and trams. Eršil added that the model offers 49 interactive locations with descriptions in Czech and English, and he redrew the partitions on all floors according to the original plans from 1883. He estimated that the cost of creating the design using traditional methods was about 3 million crowns based on Czech price lists and would take four to five months of work for six to eight people. He published the code for free on GitHub and mentioned that he added a link to it as well as the executable Artifact in the comment. #3Dmodel #Národnídivadlo #ClaudeAI (translated)

Disinformation for hire – the network of 70 fake newsrooms sold as a service The websites looked local. Naija Pulse appeared to cover Nigeria, Echo Berlin Germany, The British Daily Britain, Fifty States the United States and Commonwealth Post Australia. Each had its own branding, articles, supposed journalists and matching social-media presence. Taken individually, they resembled small independent news outlets. According to Anthropic, however, they were parts of a single commercial influence network spanning six continents. Anthropic’s September 2026 threat report identifies the operation as GTG-54002, a commercial “influence-as-a-service” network that used Claude to generate and rewrite political content at industrial scale. Investigators linked roughly 70 fabricated news websites to around 70 matching X accounts and more than 250 additional inauthentic commenting accounts designed to create the appearance of genuine public engagement. The network produced at least 8,913 articles in about 20 languages before Anthropic disrupted the activity. The significance of the case is not simply the number of fake sites. It is the business model. The network did not consistently promote one government, party or ideology. Anthropic found that its political position changed according to the apparent interests of different customers. The company therefore described it as a commercial influence operation: political manipulation offered in much the same way as other outsourced digital services. A fake media ecosystem built at scale Anthropic says the infrastructure was created rapidly. Domains were registered from France during a roughly ten-week period in mid-2025 and deployed through shared technical infrastructure, allowing investigators to connect publications that outwardly appeared unrelated. Most of the supporting social-media accounts were also created within a narrow timeframe in June and July 2025. The sites were designed to look like functioning local newsrooms rather than anonymous propaganda pages. Articles carried fabricated bylines belonging to journalists who, according to Anthropic, did not exist. Each outlet had a corresponding account on X, while a second layer of fake profiles commented on and amplified the articles. Many of those accounts used AI-generated profile photographs. The result was a three-tier structure: the newsroom published the story, the branded social account distributed it, and apparently ordinary users supplied the appearance of public reaction. Some of those sites remained publicly visible after the operation was exposed. The British Daily, for example, described itself as providing “conservative insights” on British sovereignty and migration, while Commonwealth Post presented itself as an Australian liberal publication focused on democracy, migration and regional security. Those contrasting editorial identities illustrate the central feature identified by Anthropic: the network was capable of taking different political positions in different markets. Claude as a publishing engine Claude was not simply asked to draft occasional articles. The operators built a structured production pipeline around it. Prompts required fixed JSON outputs, formatted HTML, precise character limits and internal links, allowing articles to move directly into an automated publishing workflow. The system could generate entirely new material or take reporting produced by legitimate journalists and rewrite it to fit a desired political perspective. Anthropic identified three recurring techniques. The same source article could be rewritten in opposite ideological directions for different audiences; a political interpretation could be added to a story that originally contained none; and material could be moved from one country to another after its original context had been removed. The articles were also structured to improve the apparent authority of the sites in search engines, helping the network imitate ordinary digital publishing practices rather than simply broadcasting propaganda. This is where generative AI changes the economics of an influence operation. A conventional network of dozens of supposedly local publications would normally require writers, translators, editors and social-media staff. Here, much of that production could be standardised and automated while human operators concentrated on political direction, customer requirements and distribution. The DRC–Rwanda conflict as a test case The clearest concentration of activity involved the Democratic Republic of Congo. Anthropic identified 318 articles concerning the DRC across the fake-news network. The material generally supported positions aligned with the Congolese government, particularly on regional mineral agreements and tensions with Rwanda. Early in the network’s growth, many of the fake social-media personas following and amplifying its accounts also presented themselves as Congolese. Investigators observed one especially revealing episode on 11 September 2025, when multiple sites published almost identical articles about the DRC–Rwanda conflict within approximately three minutes of one another. The wording and political tone were adjusted for different regional audiences, while associated X accounts distributed the links in a coordinated pattern. Anthropic said the activity contained signals suggesting that one or more customers had interests connected to the DRC–Rwanda conflict. It did not, however, identify those customers and explicitly stated that it found no evidence that any government had directed the operation. That distinction is essential. The content may have benefited a political actor without demonstrating that the actor commissioned or controlled it. Influence without ideology Commercialisation is what distinguishes GTG-54002 from many state-linked information operations. A government propaganda network usually has an identifiable strategic direction. A commercial influence provider does not need one. Its infrastructure can support one position in one country and the opposite position somewhere else, provided different customers are willing to pay. That makes attribution more difficult. Analysts cannot necessarily infer the operator from the ideology of the content because ideology may simply be part of the service package. The enduring asset is the infrastructure: domains, publishing systems, fake journalists, social-media accounts and automated amplification. Anthropic says the operation was disrupted before it achieved significant genuine reach. It classified GTG-54002 as Category Two on the Brookings Breakout Scale: material circulated across the network’s own sites and associated social accounts but showed no evidence of substantial penetration into authentic communities. Most of the 8,913 articles generated little observable engagement from real users. That limited impact is important. The case should not be presented as a successful global manipulation campaign. It is better understood as evidence that the infrastructure required to run such campaigns has become cheaper, faster and increasingly commoditised. The deeper shift is that a fake media ecosystem no longer has to be built around a single political cause. It can be built once, automated and then repurposed for the next customer. Disinformation, in this model, is no longer only a political instrument as it turend into the service. Sources: Anthropic — Countering misuse of AI: September 2026 https://www.anthropic.com/threat-intelligence-report-september-2026 Business Standard — AI scaling fake newsrooms, surveillance and online scams https://www.business-standard.com/technology/tech-news/anthropic-report-ai-fake-newsrooms-dating-surveillance-scams-126091100730_1.html Mimikama — KI baut 70 erfundene Nachrichtenportale https://www.mimikama.org/ki-netzwerk-erfundene-nachrichtenportale-echo-berlin/ Poliscoop Media — Anthropic exposes DRC propaganda network https://www.poliscoopmedia.com/articles/anthropic-exposes-drc-propaganda-network-20260911 The British Daily — example of a fabricated outlet identified in the network https://www.british-daily.com/contact Commonwealth Post — example of a fabricated outlet identified in the network https://commonwealth-post.com/category/science MalPulse — infrastructure references for network domains https://www.malpulse.com/infra-pivots/usom-pivots/list/?page=1105 Keywords: #DISINFORMED #Episode13 #DisinformationAsAService #InfluenceAsAService #FakeNewsrooms #FakeMedia #SyntheticMedia #ArtificialIntelligence #AI #GenerativeAI #ClaudeAI #Anthropic #Disinformation #InfluenceOperations #InformationWarfare #FIMI #CommercialInfluence #PoliticalManipulation #NarrativeManipulation #NarrativeLaundering #SourceLaundering #MediaImpersonation #FakeJournalists #SyntheticPersonas #Astroturfing #SocialMediaManipulation #CoordinatedInauthenticBehaviour #CIB #DigitalInfluence #AutomatedPropaganda #ContentAutomation #AIPropaganda #LKMCompany #NaijaPulse #AxumVoices #JamboJournal #EchoBerlin #TheBritishDaily #FiftyStates #CommonwealthPost #DRC #Rwanda #OSINT #WRLD

IRAN: MEK/NCRI – when AI impersonated a real activist in live conversations For years, synthetic media has largely meant fabricated images, cloned voices and manipulated video. A case uncovered by Anthropic in September 2026 suggests a more consequential development: artificial intelligence being used not merely to imitate how a person looks or sounds, but to behave as that person in an ongoing conversation. Anthropic says it dismantled a distributed influence operation targeting Iranians inside the country and abroad that it linked to the People’s Mojahedin Organization of Iran, or PMOI/MEK, and its political front, the National Council of Resistance of Iran. The operators used a shared AI-agent platform to support impersonation, audience profiling, coordinated social-media activity, synthetic personas and the laundering of organisational content through apparently independent accounts. At least four people involved in the operation worked for official NCRI media outlets, according to Anthropic. The company also found references to committee approval processes and MEK leadership, but said it could not independently determine the precise level of central control. Cloning a person from 8,400 Telegram posts The most striking part of the operation involved a real activist whose Telegram identity was copied. According to Anthropic, the operators instructed Claude in Persian that it was now that person, then provided approximately 8,400 of the activist’s Telegram posts so the system could learn and reproduce his writing style. The AI-assisted account was subsequently used to conduct live political conversations with the activist’s existing contacts. Anthropic says that, to its knowledge, the people receiving those messages did not know they were interacting with an account being operated with AI assistance. This is materially different from a conventional chatbot or a static deepfake. The system was not simply producing a forged statement attributed to someone else. It was using a large archive of that person’s authentic language as behavioural training material, then applying the resulting imitation interactively. In practical terms, the deception moved from synthetic content to synthetic identity. Anthropic did not publish the identity of the impersonated activist, nor details of his contacts, and the public report does not establish what specific information the conversations produced. What it does establish is that the impersonation was operational rather than experimental: the cloned account was used in real exchanges with real people. From social-media monitoring to psychographic dossiers The impersonation sat inside a much broader targeting system. Anthropic says the network scraped more than 500 social-media channels and categorised individuals by location, age, profession, political orientation and arrest history. It then analysed approximately 51,944 archived messages from conversations to construct detailed psychographic dossiers on dozens of people inside Iran. The system was therefore not limited to broadcasting propaganda. It was also designed to understand specific audiences and individuals. Profiles could be used to decide what kind of message was most likely to resonate with a particular person, which political identity they appeared closest to and how they should be approached. Anthropic describes this as a structured targeting funnel rather than ad hoc social-media activity. That distinction is important in the Iranian context. Political activists, dissidents and opposition contacts inside Iran can face arrest and severe punishment. The report does not show that the dossiers directly led to arrests or other harm, but collecting and organising information such as arrest history and political affiliation adds a surveillance dimension to what would otherwise be described as an influence operation. A shared AI system for an influence network Anthropic found that the actors used a shared Claude-based platform named “Viktor”, with separate workspaces and persistent memory. Those memory files contained approved sources, prohibited words, account-management instructions and methods intended to reduce the risk of detection. One operator loaded MEK founding doctrine into the system as what the report called “strategic base data”, allowing others to reuse it across their work. This persistent-memory structure meant the AI did not have to be briefed from scratch for every task. Once doctrine, stylistic rules and operational constraints had been stored, the system could repeatedly produce material consistent with the network’s objectives. Anthropic says the same general playbook appeared across different workspaces despite the operators not sharing obvious account infrastructure. The network also used automated pipelines to coordinate Instagram posting schedules and tailor messages to different audiences. Some accounts initially avoided mentioning the Mojahedin at all, allowing material aligned with MEK/NCRI narratives to appear as neutral or independent political commentary. Content was distributed through the organisation’s own media ecosystem as well as accounts presented as ordinary news or activist profiles. Anthropic assessed the campaign as Category Two on its Breakout Scale: active on multiple platforms with distribution through NCRI-linked media properties and amplifier accounts, but without evidence of broad authentic penetration. Synthetic citizens and disguised organisational media The same infrastructure generated AI avatars presented as ordinary Iranians, complete with Persian audio, to promote Maryam Rajavi’s political programme. Anthropic says the synthetic nature of these personas was intentionally concealed. Operators also rewrote and redistributed content originating from MEK-affiliated media while stripping identifying features or presenting it through apparently independent accounts. The network’s political messaging targeted the Iranian government but also rival opposition currents, including monarchists and supporters of the Pahlavi camp. Anthropic documented fabricated video material attacking a member of the Pahlavi family and the use of the slogan “Neither Shah Nor Sheikh”, consistent with the NCRI’s broader competition with other opposition movements. That rivalry provides relevant context. Reuters describes the MEK as one of Iran’s principal organised opposition movements in exile and the dominant force behind the NCRI, led by Maryam Rajavi. Its relationship with other opposition currents is often contentious, while the extent of its support inside Iran remains uncertain. What can be attributed – and what cannot Anthropic’s attribution is unusually specific but still needs to be stated carefully. The company says its investigation linked the operation to MEK/NCRI and established that at least four participants worked for official NCRI media organisations. It also found a common operational playbook, committee review structures and repeated references to MEK leadership. On that basis, Anthropic said central tasking was likely. It nevertheless stopped short of saying it had proven that NCRI’s senior leadership directly ordered or managed every component of the operation. That caveat matters. The strongest public evidence supports describing GTG-84006 as a MEK/NCRI-aligned influence operation involving personnel from official NCRI media, rather than asserting that every action was directly commanded by the organisation’s top leadership. The broader significance of the case lies elsewhere. Earlier generations of synthetic media attempted to fabricate evidence: a photograph, a voice recording or a video. Here, AI was used to maintain an identity over time, remember doctrine, analyse targets and speak directly to real people while appearing to be someone they already trusted. The deepfake was no longer merely an artefact. It had become a participant in the conversation. Sources Anthropic — Countering misuse of AI: September 2026 https://www.anthropic.com/threat-intelligence-report-september-2026 AI Misuse Case Library — GTG-84006 activist impersonation case https://www.misuseofai.com/en/cases/gtg-84006-activist-impersonation/ Reuters — Who makes up Iran’s fragmented opposition? https://www.reuters.com/business/media-telecom/who-makes-up-irans-fragmented-opposition-2025-06-18/ Reuters — Iran’s divided opposition senses its moment https://www.reuters.com/world/middle-east/irans-divided-opposition-senses-its-moment-activists-remain-wary-protests-2025-06-19/ Reuters — NCRI and Maryam Rajavi https://www.reuters.com/world/middle-east/dissident-leader-abroad-urges-iranians-bring-down-khamenei-2025-06-24/ Keywords #DISINFORMED #Episode12 #Iran #MEK #PMOI #NCRI #IranianOpposition #Disinformation #InfluenceOperations #InformationWarfare #ArtificialIntelligence #AI #GenerativeAI #ClaudeAI #Anthropic #AIDeception #AIImpersonation #IdentityImpersonation #SyntheticIdentity #InteractiveDeepfake #DigitalImpersonation #PersonaCloning #BehaviouralCloning #Telegram #PsychographicProfiling #TargetProfiling #AudienceTargeting #SocialMediaManipulation #Astroturfing #SyntheticPersonas #NarrativeLaundering #CoordinatedInfluence #PoliticalInfluence #DigitalInfluence #OppositionPolitics #IranPolitics #OSINT #WRLD

Iran’s cognitive warfare – when AI becomes the operating layer of state propaganda Iranian state-linked influence operators were not using artificial intelligence simply to write faster social-media posts. According to Anthropic’s September 2026 threat intelligence report, three separate operations connected to Iranian propaganda institutions were using Claude to help construct the machinery behind what the operators themselves called “soft war” and “cognitive warfare” – non-military efforts intended to shape public opinion inside Iran and abroad. Anthropic linked the activity to the Islamic Culture and Communications Organization (ICCO), which operates under Iran’s Ministry of Culture and Islamic Guidance; the Islamic Propaganda Office of Khorasan Razavi; and the Bina Cultural Observatory, part of the Islamic Propaganda Organization. The company said each operation was run by someone working within or on behalf of the named institution. The attribution was based on a combination of account telemetry, institutional references disclosed during conversations, branded documents and open-source corroboration. Anthropic subsequently removed the accounts. AI as an operational headquarters The most significant feature of the operation was the role assigned to AI. Claude was used to develop campaign plans, doctrine manuals, coded project portfolios, persona systems, target databases, early-warning protocols, amplification schedules and ministerial planning documents. Anthropic described the model as the principal administrative and operational layer supporting the three campaigns, allowing relatively small groups of operators to create organisational structures and planning material that would otherwise have required a much larger staff. This distinction matters. The reported use of AI went considerably beyond content generation. Operators were using the model to help organise how influence activity should function: which audiences to target, which identities should deliver particular narratives, how official material should be repackaged and when amplification should take place. Human operators still determined objectives and supplied the underlying political doctrine; AI helped translate those decisions into an operational system. Anthropic found that all three operations explicitly connected their activity to Jihad al-Tabyin, often translated as “explanatory jihad”, a concept used within the Iranian state system to frame information activity as both a strategic and ideological responsibility. In internal planning material examined by the company, this doctrine was not merely rhetorical: it informed manuals and campaign structures used by the operators. ‘Not the narrator, but the director’ One sentence contained in the ICCO material captures the model particularly clearly. According to Anthropic, an operator described the role of Iranian cultural attachés as being “not to be the narrator, but the director” of the narrative. The distinction reveals the logic of attribution laundering. Instead of publishing an overt state message and asking foreign audiences to believe it, the operator attempts to create the appearance that the same narrative emerged independently from journalists, activists, foreign writers or ordinary citizens. Anthropic found that Claude was used specifically to make content appear to come from foreign authors or independent media organisations and to design hashtag campaigns that looked grassroots rather than centrally organised. The ICCO operation reportedly used the organisation’s international cultural network as part of this structure. Anthropic found ministerial-level documents carrying official ICCO branding, including a nine-part international influence portfolio. This makes the operation particularly significant because the infrastructure was not limited to anonymous social-media accounts; it intersected with formal state institutions and an existing network of cultural representation abroad. A multilingual content factory A second operation was associated with the Islamic Propaganda Office of Khorasan Razavi and what Anthropic described as a “cognitive warfare command room” operating from a seminary in Mashhad. Its organisers ran a multi-province content production system known internally as Manjanegh, or “Catapult”. According to Anthropic, dozens of activists were involved in repackaging publicly available reporting from Iranian security institutions under different personas so that the material no longer appeared directly connected to those institutions. The network used Claude to transform official government intelligence bulletins into customised material in Farsi, Arabic, Urdu, Malay, Spanish and English, while planning expansion into a total of 20 languages. Distribution extended across Iranian platforms such as Eitaa, Bale and Rubika and international services including X, Instagram, Telegram, TikTok and YouTube. Anthropic also documented paid amplification across more than 100 Iranian channels, including channels associated with IRGC narratives. The scale should nevertheless be interpreted carefully. Anthropic documented production infrastructure and some real-world dissemination, but it did not demonstrate that all planned campaigns were fully deployed or that they meaningfully changed public opinion. The company placed the operation in Category Three of its Breakout Scale, indicating multi-platform activity with content observed in external distribution channels, rather than evidence of strategic impact on entire populations. From security bulletins to apparently independent voices The Bina Cultural Observatory operation provides another example of the same architecture. Anthropic linked a director-level official at Bina to activity in which Claude generated messaging in the voice of an IRGC spokesperson. During the 2026 US–Israel–Iran war, the network also attributed false claims to Western institutions including CSIS, Brookings and RAND. The apparent objective was to make Iranian state-aligned claims look as though they had been independently validated by respected foreign research organisations. That technique is more sophisticated than simply publishing propaganda under a false name. It attempts to manufacture a chain of external validation: official information is transformed into apparently independent commentary, which can then be recirculated as evidence that outside observers have reached the same conclusion. Anthropic also found target databases naming international officials and Iranian opposition figures, as well as aggressive counter-narrative material directed against the Bahá’í community. These findings show that the infrastructure was designed not only for broad messaging but also for targeted influence activity against specific groups and individuals. What AI changed The Iranian operations described by Anthropic did not create a new doctrine of influence. Iran has used cultural institutions, official media, aligned organisations and covert or semi-covert online networks for years. What AI changed was the economics and organisational capacity of that model. A relatively small team could use the system to draft doctrine, create personas, translate material, structure target databases, produce campaign calendars and generate multiple versions of the same message for different audiences. The operator remained responsible for intent, political direction and selection of targets. AI reduced the amount of human labour required to turn those decisions into a functioning influence operation. The most revealing part of the case is therefore not that an Iranian propaganda network used a chatbot. It is that AI was being treated as part of the back office of information warfare – a system for converting state doctrine into apparently decentralised, multilingual and plausibly independent voices. Sources Anthropic — Detecting and countering misuse of AI: September 2026 https://www.anthropic.com/threat-intelligence-report-september-2026 Iran International — Iran state-aligned accounts used Claude to push IRGC narratives https://www.iranintl.com/en/202609105561 BNE IntelliNews — Yemen missile cell used AI to write guidance software, Anthropic says https://new.intellinews.com/articles/yemen-missile-cell-used-ai-to-write-guidance-software-anthropic-says-467296 This is Beirut — Anthropic report details Iranian propaganda operations https://thisisbeirut.com.lb/news/politics/anthropic-report-details-iranian-propaganda-operations-and-yemen-missile-development-using-claude Anthropic report — PDF mirror https://static.foxbusiness.com/foxbusiness.com/content/uploads/2026/09/anthropic-detecting-and-countering-091026-1.pdf Keywords #DISINFORMED #Episode11 #Iran #IranianInfluence #IranianPropaganda #CognitiveWarfare #SoftWar #JihadAlTabyin #Disinformation #InformationWarfare #InfluenceOperations #ForeignInterference #FIMI #ArtificialIntelligence #AI #AIPropaganda #GenerativeAI #ClaudeAI #Anthropic #SyntheticMedia #NarrativeManipulation #NarrativeLaundering #AttributionLaundering #PersonaNetworks #Astroturfing #SocialMediaManipulation #DigitalInfluence #StatePropaganda #IslamicCultureAndCommunicationsOrganization #ICCO #IslamicPropagandaOrganization #KhorasanRazavi #IRGC #MultilingualInfluence #Targeting #Amplification #OSINT #WRLD

UAE / Sudan – when an influence operation tried to enter the United Nations A network of roughly 300 apparently independent social-media influencers. A human-rights organisation borrowing the identity of a real NGO. Personal dossiers on European politicians and journalists. And testimony prepared for delivery at the United Nations without revealing the state interest behind it. These were elements of an influence operation uncovered by Anthropic and disclosed in September 2026. The company says it linked the activity with high confidence to UAE government officials. Tracked as GTG-84002, the operation targeted several overlapping issues: the Muslim Brotherhood, perceptions of the war in Sudan and international mechanisms examining the United Arab Emirates' role in the conflict. What distinguishes the case is not simply its use of artificial intelligence. It is the attempt to make state-aligned messaging appear to originate from independent influencers, human-rights organisations and potentially witnesses addressing an international institution. An influence network built around 300 fake voices Anthropic identified a single actor using Claude to support a sustained influence campaign. At its centre was an AI persona called “Deadshot”, running on the operator's own platform. A master doctrine file repeatedly instructed the system to support what it described as a coordinated international effort to dismantle the Muslim Brotherhood. The operator simultaneously managed several components of the campaign, including approximately 300 inauthentic influencer accounts across social-media platforms. Internal material examined by Anthropic described the apparent independence of this network as its greatest strategic advantage. That phrase captures the central method. The objective was not simply to broadcast a political position but to conceal where that position originated. One visible example appeared on 4 June 2026, when accounts participated in a coordinated campaign using #SudanIslamists and near-identical graphics connecting Sudanese Islamists and the Muslim Brotherhood with regional instability. Anthropic says the amplification network was centrally funded and coordinated. Its investigation also found that the operator financing the social-media network was connected to the wider influence operation. A human-rights organisation that was not what it appeared to be Social media was only one layer. The operator also created a front NGO that copied the identity of a genuine Swiss organisation and used that borrowed legitimacy to publish human-rights material produced for the campaign. Anthropic's description elsewhere also refers to the identity of a real Sudanese human-rights organisation being used in connection with the preparation of testimony. The public report does not fully clarify whether these references describe the same front or separate elements of the operation, so they should not be treated as definitively identical. The underlying technique, however, is clear: political material was designed to appear as if it originated from independent civil society rather than from actors linked to a government. This is particularly significant in the human-rights environment, where the perceived independence of an organisation or witness can determine how seriously evidence is received by journalists, diplomats and international institutions. The attempt to reach the UN The most consequential part of the operation concerned the 62nd session of the UN Human Rights Council. According to Anthropic, the operator used Claude to ghost-write complete testimony intended to be delivered by two individuals during the session. The texts were prepared under explicit constraints ensuring that neither statement would mention the UAE. This did not amount to a conventional government submission. The intention, according to Anthropic's reconstruction, was for material serving the interests of a party connected to the Sudan conflict to reach an international forum through apparently independent voices. But an important limitation remains: Anthropic could not confirm that the testimony was ultimately delivered. The company similarly could not establish whether other dossiers produced by the operation reached their intended recipients or influenced policy. It therefore assessed the campaign as Category Three on the Brookings Breakout Scale – activity distributed across several platforms, but without evidence of broad public impact sufficient for a higher classification. The distinction matters. The evidence demonstrates a sophisticated attempt to influence international debate; it does not demonstrate that the attempt succeeded. Politicians, journalists and UN investigators became targets The operation was not limited to generating public content. Anthropic found that the operator researched and compiled detailed profiles of 18 members of the European Parliament and prominent journalists. Some material was prepared for direct delivery to senior UAE officials. The network also assembled what Anthropic describes as “counter-accountability dossiers” on UN Special Rapporteurs who had criticised the UAE's conduct in relation to Sudan. This places the campaign in a broader context. Since Sudan's civil war began in April 2023, the role of external powers has become an increasingly important part of international scrutiny. Sudan has accused the UAE of supporting the Rapid Support Forces, allegations Abu Dhabi has repeatedly denied. In 2025, Sudan brought a case against the UAE before the International Court of Justice, accusing it of complicity in genocide against the Masalit through alleged support for the RSF. The UAE rejected the allegations. The ICJ subsequently removed the case from its list after finding that it lacked jurisdiction because of the UAE's reservation to the relevant provision of the Genocide Convention. The ruling therefore did not determine whether Sudan's substantive allegations were true or false. That contested international environment helps explain why narratives about Sudan, human rights and accountability were valuable targets for an influence operation. AI as an operating system for influence The role played by Claude is also important to understand accurately. Anthropic did not find that artificial intelligence independently conceived or directed the campaign. Human operators established the objectives, political doctrine and targets. AI instead helped operationalise them. Across hundreds of sessions, Claude was used to transform predetermined political objectives into social-media narratives, human-rights reports, testimony, intelligence-style briefs and detailed profiles of individuals. The same system could support narrative production, target research and preparation of material for different audiences. That represents a more significant development than simply using generative AI to produce propaganda faster. Traditional influence operations require different teams to research targets, write content, manage personas, adapt messages and prepare briefing material. Generative AI can compress several of those functions into a single operational workflow. The result is not necessarily more convincing propaganda. It is potentially cheaper, faster and more scalable influence infrastructure. From fake influencers to institutional influence Anthropic says it linked the operation to UAE government officials with high confidence. Its assessment was based partly on internal material naming senior Emirati officials as intended recipients of the work, alongside other evidence available to its investigators. That remains an attribution by Anthropic rather than a judicial finding or publicly released forensic attribution by a government agency. The distinction should be retained. The larger significance of GTG-84002 lies in the architecture of the campaign. A network of fake influencers could create the appearance of public opinion. A cloned human-rights organisation could provide institutional credibility. AI-generated reports could give political narratives the appearance of research. Profiles of journalists and politicians could support more precise targeting. And ghost-written testimony could potentially carry the same message into an international institution without revealing the political interest behind it. This is a different model from the familiar troll farm. The objective is no longer simply to make propaganda look popular. It is to make state-aligned messaging look independent – and, if possible, to move it from social media into the institutions where international policy and accountability are debated. SOURCES: Anthropic — Countering misuse of AI: September 2026 https://www.anthropic.com/threat-intelligence-report-september-2026 International Court of Justice — Sudan v. United Arab Emirates https://www.icj-cij.org/case/197 International Court of Justice — press releases and case documents https://www.icj-cij.org/case/197/press-releases United Nations Geneva — Sudan v UAE proceedings at the ICJ https://www.ungeneva.org/en/news-media/news/2025/04/105241/world-court-begins-hearing-sudans-complicity-genocide-case-against UAE Ministry of Foreign Affairs — UAE response to Sudan's allegations https://www.mofa.gov.ae/en/MediaHub/News/2025/4/10/10-4-2025-UAE-UAE UN Digital Library — Sudan's letter concerning alleged UAE support for the RSF https://digitallibrary.un.org/record/4091008?ln=en UN Digital Library — UAE response concerning allegations of support for the RSF https://digitallibrary.un.org/record/4046224?ln=en Ultra Sudan — reporting on Anthropic's UAE-linked influence-operation findings https://ultrasudan.usawtiq.com/أنثروبيك-أحبطنا-عملية-تأثير-إماراتية-استخدمت-الذكاء-الاصطناعي-لاستهداف-السودان/عامر-صالح/أخبار KEYWORDS #DISINFORMED #Episode8 #UAE #Sudan #UnitedArabEmirates #UnitedNations #UNHumanRightsCouncil #HumanRights #Disinformation #InformationWarfare #InfluenceOperations #ForeignInterference #FIMI #CoordinatedInauthenticBehaviour #CIB #FakeInfluencers #FakeNGO #NGOImpersonation #Astroturfing #ArtificialIntelligence #AI #AIPropaganda #AIGeneratedContent #SyntheticMedia #SocialMediaManipulation #DigitalInfluence #Propaganda #NarrativeManipulation #InstitutionalInfluence #SudanConflict #SudanWar #MuslimBrotherhood #InternationalRelations #Geopolitics #Anthropic #ClaudeAI #OSINT #WRLD

SXR Music Group Launches Its Own MCP Server. Our Catalog Is Now Answerable by AI Assistants FOR IMMEDIATE RELEASE SXR Music Group launches its own MCP server SXR Music Group today announced the launch of its own Model Context Protocol (MCP) server, making the label group one of the first independent music companies whose catalog, sync licensing and release data can be queried directly from AI assistants such as Claude and ChatGPT. Instead of logging into a dashboard, artists, sync supervisors, journalists and partners can now simply ask: "Which SXR tracks are cleared for a documentary about the sea?" or "Is the Todd & Karen limited edition 12-inch still in stock?”, and get an answer straight from SXR's live systems. What the server does The SXR MCP server currently exposes seven read-only tools: search_catalog: search 150+ tracks across every signed artist by artist, title, album, genre or mood. sync_licensing: browse tracks pre-cleared for film, TV, advertising and games, filtered by genre, mood or BPM. physical_releases: live vinyl and CD stock levels, prices and preorder availability. artist_analytics: cross-platform artist insight combining Spotify, Last.fm and Songstats data. presave_analytics: views, clicks, pre-saves, top territories and services for SXR Connect campaigns. list_smart_links: your own SXR Connect smart links, slugs and short codes. lookup_release: resolve any UPC, ISRC or streaming URL into cross-platform links and metadata. Built on open standards, secured per user The server runs on the open Model Context Protocol and is protected by OAuth 2.1. Each user signs in with their own SXR account, and every tool acts strictly on their behalf, no shared keys, no exposed data. Human music, modern plumbing SXR Music Group remains firmly committed to human-made music and has consistently opposed AI-generated recordings. The MCP server is deliberately about access, not generation: it makes real music by real people easier to find, license and sell. "We have never wanted machines to write the songs," the label says. "But if a sync supervisor can find the right human-made record in ten seconds instead of ten emails, that is a win for the artist." Availability The SXR MCP server is live now and free to connect. Setup instructions and the endpoint are available at subexile.com/mcp. Press contact: [email protected] #ModelContextProtocol #MCP #MusicIndustry #MusicTech #AI #IndependentMusic #Innovation #DataAPI #SXRMusicGroup #Subexile #ModelContextProtocol #MCP #AI #ArtificialIntelligence #MusicIndustry #MusicBusiness #IndependentMusic #IndieMusic #MusicTech #MusicTechnology #TechInnovation #Innovation #B2B #SaaS #DataAPI #API #DeveloperTools #ClaudeAI #ChatGPT #SyncLicensing #MusicCatalog #PhysicalMusic #Vinyl #MusicDistribution #RecordLabel #AIMusic #HumanMusic

BREAKING: Apartheid Israel doesn't just fake content to cover its crimes; it now pays to launder them through AI with the proIDF feeds of the fake think tank "Hanover Institute". Legacy media enabled this inganno for decades.Will @OpenAI,@perplexity_ai, @claudeai etc,do the same? #ApartheidIsrael #LegacyMedia #AIFakeNews #IL

I ricercatori di Anthropic hanno scoperto che la loro intelligenza artificiale Claude possiede uno spazio interno chiamato J-Space che immagazzina concetti in modo simile alla mente umana, permettendo alla IA di elaborare informazioni e pianificare strategie separatamente dalle risposte immediate agli utenti, aprendo nuovi orizzonti nel dibattito sulla coscienza delle macchine. #ClaudeAI #IntelligenzaArtificiale #JSpace

Die @claudeai hat einen Inflationsbug bei @Zcash gefunden. Wegen der Anonymität ist aber nicht klar, ob ihn jemand ausgenutzt hat. Das ist der Grund, warum Monero usw. NIEMALS zu einer Weltwährung werden können. Wie ich seit Jahren predige: Der Mainlayer muss auditierbar sein. https://t.co/ZKcmXWhBiu #Zcash #Blockchain #Kryptowährung

Właściciel portfela bitcoinowego, który zapomniał hasła po jego zmianie pod wpływem, odzyskał dostęp do swoich 5 BTC o wartości 400 tys. dolarów dzięki pomocy chatbota AI Claude, który zlokalizował starą kopię zapasową portfela i naprawił błąd w konfiguracji programu do odzyskiwania haseł. #bitcoin #AI #ClaudeAI

RT @shiri_shh: HOLY SHIT 😭 Dude just recovered 5 BTC (~$400K) that had been locked for 11 YEARS… using Claude AI. He got high in colleg… #BTC #ClaudeAI #CryptoRecovery #Therearenospecificcountrymentionsintheprovidedtweet.Therefore #therearenocountrycodestoreturn.