Yes. Pygmylush has 7 songs listed in a dataset used to train AI music models.

Used for training 7

songs in LAION-DISCO-12M under the artist name

A list of 12 million songs on YouTube Music, gathered by walking artist pages, that LAION published in 2024 for training general music models.

Including White Oblivion, Proud King of the Doomed, November Song

Listed under the artist name 7 songs in LAION-DISCO-12M

Matched exactly: this YouTube Music artist id is the one the dataset lists these songs under.

White Oblivion

Listed as Pygmylush – White Oblivion (Pygmylush/Turboslut Split Lp) · Watch on YouTube

youtube_video 57u5QGtqCaA · row 57u5QGtqCaA

LAION-DISCO-12M

Proud King of the Doomed

Listed as Pygmylush – Proud King of the Doomed (Pygmylush/Turboslut Split Lp) · Watch on YouTube

youtube_video JwJO7LfW1oI · row JwJO7LfW1oI

LAION-DISCO-12M

November Song

Listed as Pygmylush – November Song (Pygmylush/Turboslut Split Lp) · Watch on YouTube

youtube_video NX8fQBW34S0 · row NX8fQBW34S0

LAION-DISCO-12M

Affluence at the Altar

Listed as Pygmylush – Affluence at the Altar (Pygmylush/Turboslut Split Lp) · Watch on YouTube

youtube_video NXuultF7x6U · row NXuultF7x6U

LAION-DISCO-12M

Black Liver Blues

Listed as Pygmylush – Black Liver Blues (Pygmylush/Turboslut Split Lp) · Watch on YouTube

youtube_video SNnHNc0HyGY · row SNnHNc0HyGY

LAION-DISCO-12M

It's a Good Day to Hide

Listed as Pygmylush – It's a Good Day to Hide (Pygmylush/Turboslut Split Lp) · Watch on YouTube

youtube_video hjue40b1qIU · row hjue40b1qIU

LAION-DISCO-12M

Rut Gluttony

Listed as Pygmylush – Rut Gluttony (Pygmylush/Turboslut Split Lp) · Watch on YouTube

youtube_video oOG9rSNdmQY · row oOG9rSNdmQY

LAION-DISCO-12M

What this means

Last reviewed 2026-09-24.

Presence in a public research dataset shows that a clip of your recording was listed by academic or industry researchers as material for building or testing audio models. It does not by itself show which commercial products, if any, used the clip. The legal picture is moving. On 31 July 2026 the Regional Court of Munich I ruled in GEMA's case against Suno (case 42 O 763/25) that reproducing works for training, holding them in a model in retrievable form, and generating similar outputs can each infringe copyright under German and EU law; the judgment is not final and can be appealed. In the United States, Warner Music Group settled its claims against Suno on 25 November 2025 with a licensing deal, while the parallel claims by Universal and Sony were still pending at that point. Since then BMG (12 August 2026) and Believe/TuneCore (8 September 2026) have signed opt-in licensing deals with Suno.

What you can do

3 routes. None is a guarantee.

UK, PRS members. Send PRS for Music your report and ask what collective or licensing route covers your works.
- PRS for Music and Artificial Intelligence, Version 1 (October 2025), 2025-10-01
- PRS for Music: AI and music copyright, 2026-09-24
Germany, GEMA members. GEMA won a first-instance ruling against Suno on 31 July 2026 and has a licensing model. Ask how they apply to your repertoire.
- GEMA: Suno AI and OpenAI, GEMA sues for fair compensation, 2025-01-21
- DLA Piper: GEMA v Suno, Munich Regional Court judgment of 31 July 2026, 2026-08-28
- Music Business Worldwide: Germany's GEMA launches AI Charter, 2024-11-05
Signed to Warner, BMG or Believe/TuneCore. Each has an opt-in licensing deal with Suno. Ask your label what opting in or out means for you and whether any settlement money reaches artists.
- Music Business Worldwide: Warner Music Group settles with Suno, 2025-11-25
- Music Ally: Suno signs another music licensing deal, with BMG, 2026-08-12
- Music Business Worldwide: Suno inks global deal with Believe, 2026-09-08

Is this you?

Check another name

These pages report where identifiers from public research datasets point. Presence in a dataset is a fact about the dataset, not a claim about the channel or artist, and says nothing about what any company did with the material. If you are this artist and want this page removed, see removals.