Yes. Xavi Beat has 6 songs listed in a dataset used to train AI music models.

Used for training 6

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 Contradiction (David Vissen Remix) (feat. Dreaminfusion), Pressure, Contradiction (feat. Dreaminfusion)

Listed under the artist name 6 songs in LAION-DISCO-12M

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

Contradiction (David Vissen Remix) (feat. Dreaminfusion)

Listed as Xavi Beat, Albert Neve – Contradiction (David Vissen Remix) (feat. Dreaminfusion) (Contradiction (Dreaminfusion)) · Watch on YouTube

youtube_video 84nm7vOXlaU · row 84nm7vOXlaU

LAION-DISCO-12M

Pressure

Listed as Julio Navas, David Amo, Xavi Beat – Pressure (Pressure) · Watch on YouTube

youtube_video Ma-9piAEQ_w · row Ma-9piAEQ_w

LAION-DISCO-12M

Contradiction (feat. Dreaminfusion)

Listed as Xavi Beat, Albert Neve – Contradiction (feat. Dreaminfusion) (Contradiction (Dreaminfusion)) · Watch on YouTube

youtube_video URfNa2I9BPw · row URfNa2I9BPw

LAION-DISCO-12M

Push

Listed as Julio Navas, David Amo, Xavi Beat – Push (Pressure) · Watch on YouTube

youtube_video f-TM7k17FUQ · row f-TM7k17FUQ

LAION-DISCO-12M

Cosmic Sound

Listed as Julio Navas, Xavi Beat, David Amo – Cosmic Sound (Cosmic Sound) · Watch on YouTube

youtube_video t9BYTx1Y1KQ · row t9BYTx1Y1KQ

LAION-DISCO-12M

Cosmic Sound (Electronic Mix)

Listed as Julio Navas, Xavi Beat, David Amo – Cosmic Sound (Electronic Mix) (Cosmic Sound) · Watch on YouTube

youtube_video vrpEy38ggG0 · row vrpEy38ggG0

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.