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  1. It’s funny how anti-AI activists are adopting the same bullshit methods that they accuse AI adopters of using…

    “Fulton said he started looking around on GitHub for open source AI music detection tools, and ended up building a new, open source detector that relies on open source models called SONICS, the lofcz vocoder fakeprint detector, and other open data sets. SoullessMusic also scans a track’s metadata for any tags that might tie it back to a specific AI music generator, and Fulton says he also has a script that scans Wikipedia for existing entries on an artist. Users can submit tracks from Spotify to the site they suspect are AI generated, and Fulton reviews them manually before adding them to the database. Despite all of this, he admits the system is not perfect.

    Both Soulless Music and SlopTracker use AI and other automated tools to detect AI music. As we’ve written previously, using AI detectors to detect AI content is an inherently flawed process that can lead to false positives. When I asked him how he handles cases of false positives, Fulton said “it's not ideal when that happens, but it's going to happen because it's still quite tricky to check what's AI and what’s not.”

    Spotify’s lack of transparency and unwillingness to label AI-generated music makes it impossible to track how much money its making on the platform. Last year, the company announced that it would it would AI disclosures on AI generated music, but I haven’t seen it on any of the dozens of tracks I reviewed for this story. Udio and Sudo both include inaudible digital watermarking in their generation, which in theory could make it easy for Spotify to tag these tracks.”

    404media.co/spotifys-ai-proble

    #AI #GenerativeAI #Spotify #Udio #Sudo #Streaming

  2. winbuzzer.com/2026/07/23/sony-

    Sony has filed a separate lawsuit against AI music generator Udio identifying 30,117 recordings used for AI training after a previous ruling kept its larger catalog out of its first case.

    #AI #Udio #Sony #AIMusic #GenAI #AITraining #AIAudio #AudioGeneration #Copyright #FairUse #MusicIndustry #YouTube

  3. Judge approves Anthropic book deal, Sony greatly expands legal campaign against Udio and amicus briefs filed in copyright termination case.

    plagiarismtoday.com/2026/07/21

    #Copyright #Anthropic #AI #FairUse #Udio

  4. Music Business Worldwide: Sony Music sues Udio again, asserting over 30,000 recordings a judge barred the major from adding to its original case. “Sony Music Entertainment has filed a second copyright infringement lawsuit against Udio, asserting 30,117 sound recordings it says the AI music company copied without permission to train its generative AI models. The complaint, obtained and first […]

    https://rbfirehose.com/2026/07/21/music-business-worldwide-sony-music-sues-udio-again-asserting-over-30000-recordings-a-judge-barred-the-major-from-adding-to-its-original-case/
  5. Makes Sense 2 Me

    Like a gentle breeze on a sunny afternoon.

    https://www.riaa.com/ Read article here

    MUSIC COMMUNITY INTRODUCES NEW LABELING PROGRAM TO DISTINGUISH GENERATIVE AI IN SOUND RECORDINGS

    It’s about time that something was introduced to clearly identify how the use of artificial intelligence is being used in music. After all the hype settles down and minds turn to the next big issue for people to hate on, this feature will help the ones that don’t mind people using some AI in their endeavors.

    I support this design and will gladly add it to my cover work. I especially like the idea of separating how AI is used by having the two symbols. The solid black one showing everything was generated with AI, while the white one symbolizing that human talent of one kind or another is being mixed with AI.

    This will be a snappy feature if you hate the idea of the song you just liked is found to be AI and you just can not imagine ever listening to that AI slop again. [yes I’m being sarcastic]

    I do believe that the symbol is needed like the Parental Advisory was when it came out. Both help to easily identify albums or songs that you might not want to listen to saving you both time and money. I really hope the world’s music scene all adapts these symbols with an open mind.

    With that said I am closing this post with a dust collector I made when first starting this journey.

    1. I Write The Lyrics

    J1126 ©peaceful-threads.com

    #AI #aiLaw #AIMusic #AISlop #AISongs #AICreators #life #music #news #Suno #Udio
  6. This is good news I guess, although AI-generated tracks will still be allowed on the platform.

    I had no idea Spotify was going to let fans create “covers and remixes of their favorite songs.” Soon Spotify customers will be able to push a button and discover what Metallica would sound like if it were a reggae band.

    404media.co/tidal-says-it-wont

    #AI #Tidal #Music #NewMusic #MusicStreaming #Spotify #AIMusic #Suno #Udio

  7. coming up at the top of the hour that's 7 pm central, 8 pm eastern, it's Keao's mix at dodgeradio.net if you want to listen, here is the link, server.dodgeradio.net/stream #udio

  8. KI-Trainingsdaten 2026:

    The Atlantic zeigt, wessen #Musik in Suno, Udio und Googles Lyria gelandet ist

    Wer wissen will, ob der eigene Name oder die eigene Band irgendwo in diesen KI-Trainingsdaten auftaucht, kann das jetzt kostenlos selbst nachschauen.
    gearnews.de/ki-trainingsdaten-

    #PeaceLoveMusic #KIMusik #AIMusic #Suno #Udio #Lyria #KITrainingsdaten

  9. Judge unseals documents in Udio lawsuit; musicians' union sues Universal and Warner over AI settlements; filmmakers settle case with ISP.

    plagiarismtoday.com/2026/06/09

    #Copyright #AI #Music #Udio

  10. AI Music Lawsuits Are Real. The Panic About “Losing Your Songs” Is Not.

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News

    Baybay City, Leyte, Philippines — May 27, 2026

    There are active lawsuits involving artificial intelligence and music creation. That part is true. What is not true is the growing online claim that ordinary people using AI tools are about to “lose all rights” to their songs or have their music confiscated by courts or corporations.

    That interpretation dramatically oversimplifies what the current legal fights are actually about.

    The lawsuits currently moving through U.S. courts are primarily aimed at AI companies themselves, not individual creators. Major music publishers and record labels have accused several AI firms of training their systems on copyrighted material without authorization. The central legal question is whether the use of copyrighted songs, recordings, or lyrics during AI training qualifies as “fair use” under copyright law.

    In other words, the courts are largely examining how the machines were trained, not whether a person using AI assistance can make music.

    That distinction matters.

    The Core Legal Dispute

    Most current AI music lawsuits focus on three major questions:

    1. Training Data

    Did AI companies train their systems on copyrighted music catalogs without permission?

    This is the largest and most aggressive area of litigation at the moment.

    2. Derivative Outputs

    Are AI-generated songs reproducing copyrighted material too closely?

    Courts may eventually draw boundaries regarding how similar an output can be before it becomes infringement.

    3. Copyright Eligibility

    Can AI-assisted works receive copyright protection, and if so, under what conditions?

    This third issue is where much of the public confusion originates.

    Human Involvement Still Matters

    Current U.S. copyright guidance generally indicates that purely machine-generated material may not qualify for full copyright protection if there is insufficient human creative involvement.

    However, that does not mean all AI-assisted music automatically loses protection.

    Human direction remains extremely important.

    If a person:

    • writes or revises lyrics,
    • structures songs,
    • selects arrangements,
    • edits outputs,
    • curates performances,
    • guides musical style,
    • sequences albums,
    • or meaningfully shapes the final work,

    then the argument for human authorship becomes substantially stronger.

    That is very different from simply typing a one-sentence prompt and uploading the first automated result.

    The practical reality is that many musicians using AI tools today function more like producers, arrangers, editors, directors, or collaborators using software assistance. Courts and regulators are still working through where those boundaries should be drawn.

    The Industry Is Already Moving Toward Licensing

    Despite public rhetoric, the music industry itself appears to be shifting toward a licensing and monetization model rather than attempting to eliminate AI entirely.

    That transition follows a familiar historical pattern:

    • first panic,
    • then lawsuits,
    • then licensing,
    • then commercialization.

    The same industry that fought digital music distribution in the Napster era eventually helped build the streaming economy that followed.

    AI music may ultimately follow a similar path.

    What Independent Creators Should Actually Watch

    For independent artists, the larger risks are probably not government seizure of songs or mass copyright stripping.

    The more realistic concerns include:

    • platform policy changes,
    • monetization restrictions,
    • AI disclosure requirements,
    • content-identification disputes,
    • changing distributor rules,
    • and future licensing frameworks.

    Those are operational and business risks, not necessarily existential ones.

    Documentation May Become Important

    Creators using AI-assisted workflows would be wise to preserve evidence of their own creative involvement.

    That can include:

    • lyric drafts,
    • revision histories,
    • prompts,
    • editing decisions,
    • sequencing notes,
    • production choices,
    • and timestamps.

    The stronger the documented human role, the stronger the argument for human authorship.

    At present, the law surrounding AI-generated media remains unsettled and incomplete. Courts, regulators, artists, and technology companies are all still defining the boundaries in real time.

    But the current lawsuits do not amount to a blanket legal declaration that ordinary people are “losing their rights” to AI-assisted music.

    That claim goes far beyond what the courts are actually debating.

    If this work helps you understand what’s happening, help me keep it going: https://www.patreon.com/cw/WPSNews

    For more from Cliff Potts, see https://cliffpotts.org

    References

    Reuters. (2026, March 24). U.S. music publishers suing Anthropic make their case against AI fair use. Reuters.

    The Guardian. (2026, May 21). Spotify and Universal Music agree deal to let subscribers create AI remixes. The Guardian.

    U.S. Copyright Office. (2025). Copyright and artificial intelligence guidance. U.S. Government Publishing Office.

    Norton Rose Fulbright. (2026). AI in litigation series: An update on AI copyright cases in 2026. Norton Rose Fulbright.

    #AIMusic #ArtificialIntelligence #copyrightLaw #musicIndustry #Suno #Udio #WPSNews
  11. Обзор нейросети Suno v5 в 2026 году: чем она лучше Udio и Riffusion после выхода обновления 5.5?

    Вы заметили, как часто в чарты популярных стриминговых сервисов стали попадать сгенерированные нейросетями треки? Иногда их можно спутать с реальными творениями, созданными людьми. Например, в феврале 2026 чарты «Яндекс Музыки» и VK впервые возглавил сгенерированный трек. Проект СДП на стихи Есенина набрал 4,2 млн слушателей за месяц, став хитом. Но сколько сил вкладывают люди, чтобы создать свой трек, не используя нейросеть? Если сравнить затраты средств и сил на создание реального трека и нейросетевого, думаю ответ очевиден — ИИ-контент создавать гораздо проще. Правда, зачастую он получается не самого лучшего качества. А если все-таки можно сделать что-то достойное при помощи нейросети? Это мы и проверим. В статье протестируем возможности Suno v5 и ее конкурентов. Попробуем сгенерировать композиции в нескольких жанрах: от джаза и шансона до тяжелого рока. Также мы оценим качество генерации женского и мужского вокала на русском и английском.

    habr.com/ru/companies/selectel

    #selectel #Suno_v5 #udio #Riffusion #ai #Music #нейросети #генерация_музыки #Сравнение_сервисов

  12. Топ-5 ИИ-сервисов для генерации музыки: нейросети в нотах

    Музыка всегда была языком, который не требовал перевода. Она пересекала границы, эпохи и культуры, и каждое поколение находило в ней что-то своё. Джаз рождался в подвалах Нового Орлеана. Рок - в гаражах пригородов. Электронная музыка - в берлинских клубах. Теперь новая глава пишется в облаке. Искусственный интеллект добрался до последнего бастиона человеческого самовыражения. Просто в один момент оказалось, что любой желающий может описать своё настроение текстом и получить в ответ готовую песню. С мелодией, вокалом, аранжировкой и структурой. Это не убивает музыку. Это меняет то, кто имеет право её создавать. В этом материале будут 5 нейросетей, которые уже работают, уже доступны и уже используются миллионами людей по всему миру. Одни из них созданы ветеранами Google DeepMind. Другие получили официальное признание как виртуальные композиторы. Третьи были поглощены технологическими гигантами. Добро пожаловать в новую эру музыки. Приятного чтения!

    habr.com/ru/companies/bothub/a

    #ии #нейросети #машинное+обучение #машинное_обучение #создание_музыки #ai #suno #udio

  13. US figure skater sorts out music dispute, Udio seeks lawsuit dismissal over jurisdiction, and Chinese AI video tool draws copyright criticism.

    plagiarismtoday.com/2026/02/11

    #Copyright #Olympics #AI #Udio