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 FERRARI, Режим Самолёт, Никогда (House Edit)
Artist LIZA DIEZ on YouTube Music
Yes. LIZA DIEZ has 10 songs listed in a dataset used to train AI music models.
Listed under the artist name 10 songs in LAION-DISCO-12M
Matched exactly: this YouTube Music artist id is the one the dataset lists these songs under.
FERRARI
Listed as LIZA DIEZ – FERRARI (FERRARI) · Watch on YouTube
youtube_video 6hNG9coa2Uo · row 6hNG9coa2Uo
LAION-DISCO-12M
Режим Самолёт
Listed as LIZA DIEZ – Режим Самолёт (Режим Самолёт) · Watch on YouTube
youtube_video 6tq-fdu8NNU · row 6tq-fdu8NNU
LAION-DISCO-12M
Никогда (House Edit)
Listed as LIZA DIEZ – Никогда (House Edit) (Никогда (House Edit)) · Watch on YouTube
youtube_video 7uvOQFh1U3I · row 7uvOQFh1U3I
LAION-DISCO-12M
Парадокс
Listed as LIZA DIEZ – Парадокс (Парадокс) · Watch on YouTube
youtube_video CiPQWGgr4-o · row CiPQWGgr4-o
LAION-DISCO-12M
Счастливым быть в моде
Listed as LIZA DIEZ – Счастливым быть в моде (Счастливым быть в моде) · Watch on YouTube
youtube_video WUADJ2JyNvs · row WUADJ2JyNvs
LAION-DISCO-12M
Круче всех
Listed as LIZA DIEZ – Круче всех (Круче всех) · Watch on YouTube
youtube_video beska7gjqMA · row beska7gjqMA
LAION-DISCO-12M
Поставлю на всё
Listed as LIZA DIEZ, Птаха – Поставлю на всё (Поставлю на всё) · Watch on YouTube
youtube_video dRN59zN1ZuA · row dRN59zN1ZuA
LAION-DISCO-12M
Проще не любить
Listed as LIZA DIEZ – Проще не любить (Проще не любить) · Watch on YouTube
youtube_video ftCrE13Gcbc · row ftCrE13Gcbc
LAION-DISCO-12M
Доллары
Listed as LIZA DIEZ – Доллары (Доллары) · Watch on YouTube
youtube_video rxLmYQ8f3pA · row rxLmYQ8f3pA
LAION-DISCO-12M
Никогда
Listed as LIZA DIEZ – Никогда (Никогда) · Watch on YouTube
youtube_video xk2bRS3ThJc · row xk2bRS3ThJc
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.
- DLA Piper: Creation of music with generative AI may be copyright infringement (GEMA v Suno, LG München I, 42 O 763/25), 2026-08-28
- Music Business Worldwide: Warner Music Group settles with Suno, strikes first-of-its-kind deal, 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
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.
- 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.
- 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.
Is this you?
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.