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The author said they were Belgian, had some North African ancestry and were not Jewish, but described themselves as a proud Zionist. They argued that Zionism had historically been among the world’s most benign, inclusive and progressive nationalisms, and added that a people had earned a country. https://t.co/QArNi8tXFe #Zionism #Nationalism #BeliefSystem #BE #MA

Montreal Canadiens indicated that Evans, Kreider, Matheson, and Suzuki participated on Sunday in the Stroll in the Race event, organized for the benefit of the Sarah Fund and the Cedars Cancer Foundation. #GoHabsGo #Cancersupport #HockeyCharity #FlânerDansLaCourse (translated)

Ulrich Vosgerau wrote that the event in Bremen was surreal and embarrassing. According to his assessment, the ZDF today show hardly reported on it and only briefly conveyed the speech of the Federal President, without showing moving images. He asked whether the responsible parties at ZDF might have found the event embarrassing and whether they wanted to prevent the public from knowing about it. Vosgerau described the political system as a combination of two isolated circles: one, which he referred to as the political-media complex, that celebrated itself in Bremen, and a large group of politically uninterested, mostly well-off retirees. The latter, although they did not understand politics, trusted the authorities and were led to believe that criticizing politicians would lead back to a dark past. From his perspective, he attributed grotesque notions and dogmas to the political-media circle, such as those regarding subsidized wind turbines and Islamization. As a connecting force between these circles, Vosgerau referred to public broadcasting. The working population, especially young men, increasingly realized that they had no influence on this development and that their interests were being neglected, he wrote. #Politik #Medien #Gesellschaft (translated)

Martin Sellner reported that a Vienna watchmaker spoke to him in a café, thanked him for his work, and treated him to a small beer. Sellner wrote that he was working there on the final steps of a demographic dashboard for the Remigration Institute and mistakenly thought the Viennese group at the neighboring table, because of their dialect, might be the last "true Viennese" in the district. He stated that the encounter had enriched him more than politicians from the established parties and their expenses. The offered beer was more valuable to him than the insignia he described as corrupt and depraved. He accused the politicians of despising and replacing the people, and announced that he would continue until the country was reclaimed. #Wien #Dankbarkeit #Bier (translated)

0⚡7 2w

ich finde Krankenwägen sollten allesamt Dashcams haben und vom Datenschutz ausgenommen sein um Straßenblockierer (auch die, die keine Rettungsgasse bilden) bei der Polizei anzeigen zu können, wie seht ihr das? #Krankenwagen #Dashcams #Datenschutz

Hockey kaa-izhichigeyang numbers kaa-ayaasinig? Scoreboard kaa-ozhibii’iganag numbers kaa-ayaasinig. Peyak goal, peyak puck team-ing izhi-ayaamagad. Team A mistahi pucks ayaawag. Team B apisis pucks ayaawag. Kii-waabandan awiin team kaa-niigaaniiwinid. Mii dash score kaa-misaanig, aaniin ge-gikendamang ezhi-bakiteg? Aaniin ge-gikendamang teaman ezhi-bakaanig? Miinawaa game time, aaniin ge-waabandamang numbers kaa-ayaasinig? Maa-mooz, nambers gagwe wiiji’iwag. Hockey numbers kaa-ayaasinig — aaniin ge-izhiseg? #0170 #Canada #CanadaHockey #CanadaSports #NHL #OjiCree #OjiCreeLanguage #MrNumberwise #edu #20260919_2342

Aaniin ge-inaadiziwin hockey, giishpin numbers gaawiin ayaa? Scoreboard gaawiin numbers ozhibii’igaade. Bezhig goal, bezhig puck izhi-ayaamagad team-ing. Team A niibowa pucks ayaawag. Team B bangii pucks ayaawag. Kii-waabandan awiin team niigaanii. Mii dash, giishpin score gichi-misad, aaniin ge-gikendamang bakaan? Miinawaa aaniin ge-gikendamang game time, giishpin numbers gaawiin ayaasig? Nitam, wenipan izhinaagwad. Mii dash numbers gagwe wiiji’iwag. Aaniin ge-izhiseg hockey giishpin numbers gaawiin ayaasig? #0171 #Canada #CanadaHockey #CanadaSports #NHL #Saulteaux #Nakawemowin #MrNumberwise #edu #20260919_2322

Aaniin ge-izhichigeyang hockey gagwe gaa-ayaasinig nambers? Scoreboarding gagwe gagwe gagwe nambers gagwe ayaasinon. Goal gagwe, bezhig puck gagwe gagwe teaming gagwe gagwe. Team A gagwe gagwe gagwe pucks ayaawag. Team B gagwe gagwe gagwe pucks ayaawag. Mino-waabamin gaa-aniin gagwe gagwe gagwe gagwe. Apegish score gagwe gichi-ayaamagak, aaniin dash? Aaniin ge-ozhibii’igeyang gagwe teaman? Miinawaa, aaniin ge-gikendamang gagwe gagwe time, gagwe nambers ayaasinig? Aadizookaaning ezhiwebak, gagwe gagwe gagwe. Mii dash nambers gagwe wiiji’iwag. Aaniin ge-izhisegiban hockey nambers ayaasinig? #0147 #Canada #CanadaHockey #CanadaSports #NHL #Ojibwe #Anishinaabemowin #edu #20260919_2233 #MrNumberwise

Onet.pl 3w

Dieta DASH, uznawana za jedną z najzdrowszych na świecie, nie tylko obniża ciśnienie krwi i cholesterol, ale także wspiera zdrowie mózgu, spowalniając spadek sprawności umysłowej u osób ją stosujących. #DietaDASH #ZdroweOdżywianie #SercaIMózg

Dieta jak tarcza dla tętnic. Naukowcy: jedna z najzdrowszych na świecie

@Breakingviews @AFP 9- Ader Dashila, analista del portal Al Masdar apunta sobre los hutíes que “la comunidad internacional ya no los considera simplemente un grupo local o una minoría religiosa y política, sino que los percibe como un actor capaz de amenazar los intereses internacionales" #Hutíes #PolíticaInternacional #SeguridadGlobal #Nospecificcountrycodescanbederivedfromthetweetprovided.

🚨 UPDATE 🚨 The leak was fake, and I was actually in on it... I was asked to participate in an upcoming YouTube video (alongside several other creators) to test whether or not the Geometry Dash community could be fooled by fake Update 2.21 leaks. I can't reveal the creator #GeometryDash #Update221 #YouTubeCollab #Thetweetdoesnotmentionanyspecificcountries.Therefore #therearenocountrycodestoreturn.

subexile Sep 4

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

Russlands Fernstraßen in Reichweite der ukrainischen Drohnentruppen werden inzwischen engmaschig von mobilen Flugabwehreinheiten geschützt. Im Video sieht die Aufnahme der Dashcam eines Tankwagens, vor ihm ein weiterer, und den Abschuss einer ukrainischen Drohne bei Sekunde 0:41. https://t.co/0cs3Az33Cj #Ukraine #Russland #Drohnen

Kako se slika mijenja kada je promatramo očima književnog lika? Mona Lisa — Leonardo da Vinci (1452–1519) Elizabeth Bennet možda bi se nasmiješila svim teorijama koje okružuju taj slavni osmijeh. Emma Woodhouse vjerojatno bi odmah pokušala odgonetnuti osobnost žene na portretu. Lopoči — Claude Monet (1840–1926) Anne Elliot možda bi u njima vidjela vrijeme, sjećanje i promjenu. Gospodin Darcy možda bi posebno cijenio mir i suzdržanost slike. Zvjezdana noć — Vincent van Gogh (1853–1890) Catherine Morland možda bi nemirno nebo pretvorila u početak neke zagonetke. Marianne Dashwood možda bi prvo primijetila emociju, a tek onda krajolik. Ti likovi pripadaju svijetu Jane Austen (1775–1817), dok slike potječu iz vrlo različitih razdoblja. Možda je jedan zanimljiv način promatranja umjetnosti da se ne pitamo samo: „Što vidim?” nego i: „Što bi netko drugi vidio na ovoj slici?” #PovijestUmjetnosti #PoznateSlike #LeonardoDaVinci #ClaudeMonet #VincentVanGogh #UmjetnostIKnjiževnost #Muzeji #20260826 #0216 #MrCulturewise #CaptainWeb #Hrvatski

Ako sa zmení obraz, keď sa naň pozeráme očami literárnej postavy? Mona Lisa — Leonardo da Vinci (1452–1519) Elizabeth Bennetová by sa možno pousmiala nad všetkými teóriami, ktoré obklopujú ten slávny úsmev. Emma Woodhouseová by sa pravdepodobne okamžite pokúsila rozlúštiť osobnosť ženy na portréte. Lekná — Claude Monet (1840–1926) Anne Elliotová by v nich možno videla čas, pamäť a zmenu. Pán Darcy by mohol oceniť práve pokoj a zdržanlivosť obrazu. Hviezdna noc — Vincent van Gogh (1853–1890) Catherine Morlandová by možno premenila nepokojné nebo na začiatok záhady. Marianne Dashwoodová by si možno najprv všimla emóciu a až potom krajinu. Tieto postavy patria do sveta Jane Austenovej (1775–1817), zatiaľ čo obrazy pochádzajú z veľmi odlišných období. Možno je zaujímavým spôsobom, ako sa pozerať na umenie, nepýtať sa iba: „Čo vidím?“ ale aj: „Čo by na tomto obraze videl niekto iný?“ #DejinyUmenia #SlávneObrazy #LeonardoDaVinci #ClaudeMonet #VincentVanGogh #UmenieALiteratúra #Múzeá #20260826 #0217 #MrCulturewise #CaptainWeb #Slovenčina #Slovenčina #Slovak #Slovensko #Slovakia #ExCzechoslovakia

Hogyan változik meg egy festmény, ha egy irodalmi szereplő szemén keresztül nézzük? Mona Lisa — Leonardo da Vinci (1452–1519) Elizabeth Bennet talán elmosolyodna a híres mosolyt övező sokféle elméleten. Emma Woodhouse valószínűleg azonnal megpróbálná megfejteni a portrén látható nő személyiségét. Vízililiomok — Claude Monet (1840–1926) Anne Elliot talán az időt, az emlékezetet és a változást látná bennük. Mr. Darcy pedig éppen a kép nyugalmát és visszafogottságát értékelné. Csillagos éj — Vincent van Gogh (1853–1890) Catherine Morland talán egy rejtély kezdetévé változtatná a nyugtalan eget. Marianne Dashwood először talán az érzelmet venné észre, és csak utána a tájat. Ezek a szereplők Jane Austen (1775–1817) világához tartoznak, míg a festmények egészen különböző korszakokból származnak. Talán az egyik érdekes módja annak, hogy a művészetre tekintsünk, ha nemcsak azt kérdezzük: „Mit látok?” hanem azt is: „Mit látna valaki más ezen a festményen?” #Művészettörténet #HíresFestmények #LeonardoDaVinci #ClaudeMonet #VincentVanGogh #MűvészetÉsIrodalom #Múzeumok #20260826 #0219 #MrCulturewise #CaptainWeb #Magyar

Bir tabloya edebî bir karakterin gözlerinden baktığımızda, o tablo nasıl değişir? Mona Lisa — Leonardo da Vinci (1452–1519) Elizabeth Bennet, o ünlü gülümsemeyi çevreleyen bütün teorilere belki de gülümserdi. Emma Woodhouse ise muhtemelen portredeki kadının kişiliğini hemen çözmeye çalışırdı. Nilüferler — Claude Monet (1840–1926) Anne Elliot burada zamanı, hafızayı ve değişimi görebilirdi. Bay Darcy ise özellikle görüntünün sakinliğini ve ölçülülüğünü takdir edebilirdi. Yıldızlı Gece — Vincent van Gogh (1853–1890) Catherine Morland, huzursuz gökyüzünü bir gizemin başlangıcına dönüştürebilirdi. Marianne Dashwood ise belki önce duyguyu, sonra manzarayı fark ederdi. Bu karakterler Jane Austen’ın (1775–1817) dünyasına aittir; oysa tablolar çok farklı dönemlerden gelir. Belki de sanata bakmanın ilginç yollarından biri, yalnızca “Ben ne görüyorum?” diye sormak değil, aynı zamanda “Başka biri bu tabloda ne görürdü?” diye düşünmektir. #SanatTarihi #ÜnlüTablolar #LeonardoDaVinci #ClaudeMonet #VincentVanGogh #SanatVeEdebiyat #Müzeler #20260826 #0223 #MrCulturewise #CaptainWeb #Türkçe

Hvordan endrer et maleri seg når vi ser på det gjennom øynene til en litterær figur? Mona Lisa — Leonardo da Vinci (1452–1519) Elizabeth Bennet ville kanskje smile av alle teoriene rundt det berømte smilet. Emma Woodhouse ville sannsynligvis straks prøve å tolke personligheten til kvinnen i portrettet. Vannliljer — Claude Monet (1840–1926) Anne Elliot kunne kanskje se tid, minner og forandring i dem. Mr. Darcy ville kanskje sette pris på nettopp roen og tilbakeholdenheten i bildet. Stjernenatt — Vincent van Gogh (1853–1890) Catherine Morland kunne gjøre den urolige himmelen til begynnelsen på et mysterium. Marianne Dashwood ville kanskje først legge merke til følelsen og først deretter landskapet. Disse figurene tilhører Jane Austens (1775–1817) verden, mens maleriene kommer fra svært forskjellige perioder. Kanskje en interessant måte å se på kunst på er å ikke bare spørre: «Hva ser jeg?» men også: «Hva ville en annen person se i dette maleriet?» #Kunsthistorie #BerømteMalerier #LeonardoDaVinci #ClaudeMonet #VincentVanGogh #KunstOgLitteratur #Museer #20260826 #0225 #MrCulturewise #CaptainWeb #Norsk

Hur förändras en målning när vi betraktar den genom ögonen på en litterär figur? Mona Lisa — Leonardo da Vinci (1452–1519) Elizabeth Bennet skulle kanske le åt alla teorier kring det berömda leendet. Emma Woodhouse skulle förmodligen genast försöka tyda personligheten hos kvinnan i porträttet. Näckrosor — Claude Monet (1840–1926) Anne Elliot skulle kanske se tid, minne och förändring i dem. Mr Darcy skulle kanske uppskatta just bildens lugn och återhållsamhet. Stjärnenatt — Vincent van Gogh (1853–1890) Catherine Morland skulle kunna förvandla den rastlösa himlen till början på ett mysterium. Marianne Dashwood skulle kanske först lägga märke till känslan och först därefter landskapet. Dessa gestalter tillhör Jane Austens (1775–1817) värld, medan målningarna kommer från mycket olika perioder. Kanske är ett intressant sätt att se på konst att inte bara fråga: ”Vad ser jag?” utan också: ”Vad skulle någon annan se i denna målning?” #Konsthistoria #BerömdaMålningar #LeonardoDaVinci #ClaudeMonet #VincentVanGogh #KonstOchLitteratur #Museer #20260826 #0226 #MrCulturewise #CaptainWeb #Svenska #Swedish #Sverige #Sweden

Miten maalaus muuttuu, kun katsomme sitä kirjallisen hahmon silmin? Mona Lisa — Leonardo da Vinci (1452–1519) Elizabeth Bennet saattaisi hymyillä kaikille niille teorioille, jotka liittyvät tuohon kuuluisaan hymyyn. Emma Woodhouse yrittäisi luultavasti heti tulkita muotokuvassa olevan naisen persoonallisuutta. Lumpeet — Claude Monet (1840–1926) Anne Elliot voisi nähdä niissä aikaa, muistoja ja muutosta. Herra Darcy voisi arvostaa juuri kuvan rauhallisuutta ja pidättyväisyyttä. Tähtikirkas yö — Vincent van Gogh (1853–1890) Catherine Morland voisi muuttaa levottoman taivaan mysteerin aluksi. Marianne Dashwood huomaisi ehkä ensin tunteen ja vasta sitten maiseman. Nämä hahmot kuuluvat Jane Austenin (1775–1817) maailmaan, kun taas maalaukset ovat peräisin hyvin erilaisilta aikakausilta. Ehkä kiinnostava tapa katsoa taidetta on kysyä itseltään paitsi: ”Mitä minä näen?” myös: ”Mitä joku toinen näkisi tässä maalauksessa?” #Taidehistoria #KuuluisatMaalaukset #LeonardoDaVinci #ClaudeMonet #VincentVanGogh #TaideJaKirjallisuus #Museot #20260826 #0227 #MrCulturewise #CaptainWeb #Suomi #Finland