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Philip Lindh wrote to Fotbollskanalen that the match had gone from 1–5 to 5–5 after a goal he deemed to be against the rules. He also stated that the team should have been awarded a clear penalty, but that the referee inexplicably let it go. The team then lost 5–6 in the 98th minute, Lindh wrote and described it as "Gnaget" for him. #fotboll #AIK #Allsvenskan (translated)

The author of the entry stated that "Rzeczpospolita" has reached an unpublished report from the NFZ for the second quarter of 2026. According to the data he cited, 980,000 people were waiting for admission with an urgent referral — 180,000 more than the previous year and 62,800 more than in the first quarter. #NFZ #zdrowie #statystyki #PL (translated)

Julio Balmás wrote that seeing a man on the bench of Efes reminded him of the period when, as he mentioned, they would bring him along with Itoudis after Bartzokas was fired by the Angelopoulos brothers. He added that Olympiacos fans regarded the man's posts as sources and used derogatory terms for him and the fans. #olympiacosbc https://t.co/98Bbjm178w #basketball #Εφές #ολυμπιακός (translated)

Invictos highlighted the figures of Cristiano Ronaldo dos Santos Aveiro: 980 goals and 261 assists in 1,339 professional football matches. It noted that he was 20 goals away from reaching 1,000 official goals and 39 decisive passes from 300 assists. It also expressed respect for the forward and described his numbers as extraordinary. #CristianoRonaldo #Fútbol #HistoriaDelDeporte (translated)

The Australian exchange student asked how, in light of the economic development, a tax revenue of 989 billion, a trillion in debt, and the already overwhelming tax burden, it could even be discussed about tax increases. He also described the state's greed as insatiable. #Steuern #Finanzen #Wirtschaft (translated)

Invictos stated that Cristiano Ronaldo dos Santos Aveiro had scored in his return with Al Nassr and that he had already accumulated 980 official goals in his professional career. They also described him as the highest scorer in history. https://t.co/L97fqqIBlO #CristianoRonaldo #Fútbol #AlNassr (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

Hayy stated that Flávio was forming alliances with Republicans, Novo, Podemos, União Brasil, and Progressistas, while Lula was allying with PCC and CV. The author added that, in his opinion, it had never been so easy to choose a side. https://t.co/98Hrknemau #Política #Eleições2024 #Alianças (translated)

Melquisedec Torres compared the votes and campaign expenses of congressman Daniel Briceño and presidential candidate Sondra Macollins. He stated that Briceño received 264,838 votes in Bogotá and spent 410 million pesos, equivalent to 1,548 pesos per vote, reimbursed through reimbursement. Torres claimed that Macollins received 4.5 billion pesos in advances and that, according to him, she spent it with her family. He calculated that this represented 225,146 pesos for each of her 19,987 votes nationwide. He also asserted that the cost per vote was 145 times higher than that of Briceño and said that the system needed to be changed, although he did not detail his proposal. #Elecciones2023 #Votación #PolíticaColombiana (translated)

Karol from CyrkF1 wrote that Christian Horner received £66.988 million in compensation for dismissal from Red Bull Technology in 2025, along with a salary of £9.029 million. The total amount was, according to the author, £74.017 million, which is about $100 million. #F1PL https://t.co/1OtMejK706 #F1 #RedBull #ChristianHorner (translated)