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Tomasz Trela announced that he has submitted several notifications to the prosecutor's office regarding the Pegasus affair. He stated that he would present the details the next day, on Monday, at 12:00. #Raport #KomisjaPegasus https://t.co/72FMaU2r77 #Pegasus #wydarzenia #prokuratura (translated)

Wall Street banks are facing explosive demand for specialists in artificial intelligence orchestration, with salaries reaching 13,100 euros per month, and a 1,721% increase in job postings in this field over the past year. #IntelligenceArtificielle #WallStreet #Recrutement (translated)

Big Brother Forum reported that the eighth episode of #GFVIP had recorded 1,722,000 viewers and a 15.2% share. It noted that the result was better than that of the previous Friday, when the show aired against the National Team, but criticized the authors for not valuing the cast. It also deemed the segment dedicated to the triangle between Piera, her boyfriend, and Roncaccia to be uninteresting. #ascoltitv #GFVIP #ascolti #realitytv (translated)

The AfD parliamentary group in Saxony announced that AfD MP Jörg Dornau had requested the state government to disclose the performance-related compensation of executives at companies in which the Free State has a stake (Drs. 8/7237). This includes, among others, Mitteldeutsche Flughafen AG, Leipzig Trade Fair, the SAENA Energy Agency, and the porcelain manufactory. Regarding the Leipzig Trade Fair, Dornau received information that there are 42.5 executives in full-time equivalents. The government refused to provide details on fixed salaries and bonus payments. According to publicly accessible sources, the AfD parliamentary group deduced that the CEO of Mitteldeutsche Flughafen AG, including bonuses, is likely to earn between 400,000 to 550,000 euros gross annually. The AfD also found years ago that savings bank executives in Dresden likely earn more than 50,000 euros per month on average (7/10922). Dornau accused the government of not disclosing the compensation of executives at companies with state participation of 51 to 100 percent because this would be difficult to convey to citizens. He assessed that some managers are not very successful but earn more than Chancellor Friedrich Merz. Dornau demanded that the salaries of the CEOs be made publicly accessible, like those of public broadcasting, to avoid the impression of a “CDU cliquishness.” #AfD #Sachsen #JörgDornau #CDU #FriedrichMerz #Landesbeteiligungen #Spitzengehälter #Transparenz #LeipzigerMesse #MitteldeutscheFlughafenAG #AfD #Transparenz #Sachsen (translated)

Markus Haintz wrote that Dara Sasmaz, whom he referred to as a social media consultant for the Left party, had been legally sentenced to refrain from insults against Haintz's clients. Haintz stated that due to the appeal process, Sasmaz would have to bear costs of at least €12,728.27. Because of a presumably generous fee agreement with his lawyer, the actual costs could be significantly higher. #Recht #Urteil #SozialeMedien (translated)

Russia’s war propaganda gets a soundtrack – how AI-generated songs reached global streaming platforms Russian war propaganda is no longer confined to television broadcasts, Telegram channels or political videos. A study by the Ukrainian threat-intelligence organisation Terrecon has identified 981 songs combining signs of AI generation with pro-Russian military narratives, distributed through an ecosystem that reaches YouTube, Spotify, Apple Music, Deezer and SoundCloud. The songs range from sentimental ballads to rock and heavy metal. Their recurring themes are familiar from conventional Russian wartime propaganda: the heroisation of Russian soldiers, romanticisation of the war, mobilisation, the “Russian world”, commemoration of fallen troops and attacks on Ukraine and its armed forces. Some contain derogatory or dehumanising references to Ukrainians. What is new is not necessarily the message, but the production and distribution model: generative AI allows propagandistic music to be produced rapidly, cheaply and in quantities that would previously have required musicians, studios and producers. Nearly 1,000 tracks identified Terrecon examined 3,725 tracks collected from YouTube, YouTube Music, SoundCloud and the AI music platform Suno. After manual review, researchers classified 981 as showing both indications of AI generation and pro-Russian war propaganda. In 681 tracks they identified 728 propaganda-related keywords or phrases. The largest category was the glorification of the Russian military, followed by romanticised treatment of Moscow’s so-called “special military operation”, mobilisation appeals, narratives about the “Russian world”, and the cult of fallen soldiers and the state. The reach was not merely theoretical. Listening or viewing statistics were available for 608 of the identified tracks; together they had accumulated 86.8 million plays and views, according to Terrecon. A smaller group of 13 high-performing songs accounted for more than 53 million YouTube views and more than 67 million when YouTube Music was included. Among the better-known examples is “Power of Artillery”, a Russian-language rock song praising artillery weapons that passed two million views on YouTube. Most of the tracks for which publication dates could be established appeared after 2024, broadly coinciding with the rapid expansion of consumer AI music generators such as Suno and Udio. That correlation does not prove that AI alone caused the increase, but it illustrates how drastically the economics of production have changed. A propaganda song for as little as $11 Terrecon also tested how difficult it would be to commission such material. Researchers approached 25 creators producing AI-assisted militaristic music; 15 agreed to take commissions. Prices ranged from approximately $11 to $330, while delivery times ranged from two hours to three days. According to Terrecon, some were prepared to produce highly aggressive anti-Ukrainian material, including content intended for audiences involving children from occupied Ukrainian territories. Some creators used Russian intermediary services that provided access to Western AI tools such as Suno and Udio despite restrictions. The researchers then tested several AI generators themselves. Across 40 prompts submitted to Suno, Udio, Mureka, Google Flow Music and ElevenLabs, 25 resulted in successful generations, while safeguards were circumvented in 15 cases. Terrecon reported that four of the five services tested produced Russian-language material containing wartime narratives, although technical problems prevented comparable testing on some systems. In one Udio experiment, the researchers said the model itself introduced more explicit violent language than had appeared in the original promp These tests do not demonstrate that the commercial platforms knowingly support Russian propaganda. They show something narrower: existing safeguards can be inconsistent when political messaging is packaged as music. From generation to Spotify The distribution experiment may be the most revealing part of Terrecon’s research. The team deliberately uploaded test tracks containing explicit hostile language to YouTube, SoundCloud, Spotify and Deezer. Terrecon says none was blocked during the experiment. On SoundCloud, researchers used an account identifying its location as Moscow, disclosed the use of AI and added markers including references to the Russian military and the war. The platform accepted the upload and subsequently offered paid promotional and distribution tools. This does not prove that streaming recommendation systems systematically promote pro-war music. There is currently insufficient public evidence to make that claim. It does demonstrate that material can enter the same commercial distribution infrastructure as ordinary music and, once there, potentially benefit from playlists, searches, sharing and recommendation mechanisms available to other releases. That distinction is important. Propaganda no longer has to announce itself as political communication. On a streaming platform it can look like another song. Culture as a delivery mechanism Music has always been used in wartime propaganda. What generative AI changes is scale. Instead of investing heavily in a limited number of patriotic performers or officially commissioned productions, creators can generate variations across styles, audiences and emotional registers at very low cost. Terrecon found material ranging from war rock to sentimental songs and content styled for younger audiences. Some creators also experimented with cloned celebrity voices and stylistic imitation of established musicians. The format also offers a different relationship with the audience. A political video asks a viewer to consume an argument. Music can accompany commuting, exercise or entertainment and may be encountered outside explicitly political spaces. This does not automatically make it more persuasive, and Terrecon’s research does not establish measurable effects on political attitudes. It does, however, place wartime narratives inside a cultural environment where users may not initially perceive themselves as consuming political messaging. An ecosystem, not a proven Kremlin command structure The strongest evidence supports describing this as a growing AI-assisted pro-Russian propaganda-music ecosystem, not a single operation controlled from Moscow. Terrecon did not establish that the Russian government created, financed or coordinated all 981 tracks. Reporting on the study likewise notes that the extent of direct state involvement remains unclear. There is broader evidence that the Russian state finances cultural projects and digital content supporting the war, including through state-backed funding bodies. That context matters, but it does not allow individual songs in Terrecon’s dataset to be attributed to the Kremlin without additional evidence. The significance of the case lies elsewhere. AI has reduced the cost of producing ideological content, intermediaries can help creators access generation tools, and global platforms can provide distribution. The result is a pipeline in which wartime propaganda no longer has to resemble propaganda at all. It can simply appear in a playlist. Sources Terrecon / Ukrainska Pravda — Daria Verbytska on the research https://www.pravda.com.ua/columns/2026/10/05/8056229/ Suspilne Culture — detailed breakdown of Terrecon findings https://suspilne.media/culture/1417933-rosijsku-voennu-propagandu-maskuut-pid-anime-karaoke-ta-rok-doslidzenna-si-pisen-vid-terrecon/ The Insider — AI-generated Russian war propaganda music https://theins.ru/news/297839 Institute of Mass Information — summary of New York Times reporting https://imi.org.ua/en/news/doslidzhennya-rf-masovo-stvoryu%D1%94-propagandistski-pisni-za-dopomogoyu-shi The Bridge Media — AI-generated songs and Russian military propaganda https://thebridgemedia.com.ua/en/ai-generated-songs-russian-military-propaganda/ Center for Strategic Communication — cost and production of AI propaganda music https://spravdi.org/propaganda-za-11-yak-rosiya-shtampuye-shi-pisni-z-miljonamy-prosluhovuvan/ Times of India — AI-generated Russian war songs https://timesofindia.indiatimes.com/world/europe/ai-sings-russias-war-story-inside-the-rise-of-generative-songs-about-ukraine-conflict/articleshow/134650594.cms EU Council / EUR-Lex — Presidential Foundation for Cultural Initiatives https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32026D1351 Human Rights Watch — Russian state funding of digital and patriotic content https://www.hrw.org/report/2025/07/30/disrupted-throttled-and-blocked/state-censorship-control-and-increasing-isolation #DISINFORMED #Episode16 #Russia #Ukraine #RussianPropaganda #WarPropaganda #MusicPropaganda #AIMusic #ArtificialIntelligence #AI #GenerativeAI #SyntheticMedia #AIPropaganda #Disinformation #InformationWarfare #InfluenceOperations #CulturalPropaganda #DigitalInfluence #NarrativeManipulation #PropagandaMusic #StreamingPlatforms #Spotify #AppleMusic #YouTube #YouTubeMusic #Deezer #SoundCloud #Suno #Udio #RussianWorld #RusskiyMir #MilitaryPropaganda #WarNarratives #Mobilisation #AlgorithmicDistribution #RecommendationAlgorithms #MusicStreaming #PlatformManipulation #Terrecon #OSINT #MediaManipulation #WRLD

Amalia claimed that documents uncovered from the Russian State Archive of Contemporary History (RGANI) showed that Moscow was funding AKEL with the aim of preventing the union of Cyprus with Greece. According to her, the funding served Soviet interests, as Greece was a NATO member. She stated that the money was channeled through the International Trade Union Assistance Fund for Left-Wing Labor Organizations, which she described as a cover for the KGB, and that the allocations were approved by the Political Bureau of the CPSU. She mentioned Yuri Andropov as responsible for transferring the funds. According to Amalia, six annual reports for the period 1961-1973 recorded remittances to AKEL amounting to $56,000 in 1961, $56,222 in 1962, $56,000 in 1963, $69,722 in 1965, $70,000 in 1966, and $140,000 in 1973, totaling $447,944. She added that these amounts did not necessarily constitute the total aid received by the party, as, she wrote, documents for all the years had not been declassified. She also mentioned that AKEL had received weapons from Moscow. She wrote that the Central Committee of the CPSU approved, at the request of AKEL's General Secretary Ezekias Papayiannou, the shipment of 100 Walther pistols and 25,000 cartridges. According to the posting, the weapons were sent on June 13, 1974, and delivered on July 4. Amalia questioned the stated purpose in the documents — the protection of AKEL leadership and other persons — and claimed that the weapons were intended for terrorist actions against EOKA B. Finally, she stated that Makarios had received weapons from Czechoslovakia, with Moscow's approval, in late January 1972. According to her, these were unloaded in the area of Kseros and transported with about 50 trucks to the Archdiocese in Nicosia. #Κύπρος #ΑΚΕΛ #ιστορία (translated)

Volkswagen UK had to make provisions of £725 million (€855 million) due to the car loan scandal, as the final bill for impending compensation claims could rise to up to €855 million, while legal disputes are still ongoing. #Volkswagen #Autokreditskandal #Großbritannien (translated)

OpenAI has announced that its artificial intelligence model has solved hundreds of mathematical problems, publishing 722 manuscripts grouped into 372 families of results, although some are still unverified and require validation from the mathematical community. #OpenAI #InteligenciaArtificial #Matemáticas (translated)

OpenAI has announced significant progress in solving some of the most complex mathematical problems, publishing 722 studies covering various Millennium Problems and requiring calculations from an advanced model not yet available to the public. #OpenAI #matematica #problemiirrisolti (translated)

The Jaguar Type 01, an electric GT with over 1000 horsepower and a range of up to 720 kilometers, marks the radical restart of the British brand in the electric era and is expected to hit the market in the first quarter of 2027 for approximately 135,000 euros. #JaguarType01 #Elektroauto #Luxusautomobil (translated)

Frenchie wrote that OpenAI had published 722 proofs of open mathematical problems, obtained on average after three hours of computation each. According to him, some figures suggested that these results represented 80% of what humanity had discovered in mathematics over the past three years, including on problems sometimes studied for decades. He estimated that the profession of mathematician would not disappear, but that the work would shift toward verification of proofs and their understanding. He also described the world of mathematics as being in shock and divided: Fields medalists were denouncing the rush of laboratories to open problems, while others were advising OpenAI. Frenchie concluded that history might remember 2024-2026 as the beginning of modern mathematics. #Mathématiques #OpenAI #Innovation (translated)