Yes. Joe Lasher 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 Messed Up, Messed Up (Acoustic Cover), Beer Would Be Good Right Now (Acoustic)

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.

Messed Up

Listed as Joe Lasher – Messed Up (Messed Up) · Watch on YouTube

youtube_video 2JclK6W_atQ · row 2JclK6W_atQ

LAION-DISCO-12M

Messed Up (Acoustic Cover)

Listed as Joe Lasher – Messed Up (Acoustic Cover) (Messed Up (Acoustic)) · Watch on YouTube

youtube_video 3NL4ogQb9JI · row 3NL4ogQb9JI

LAION-DISCO-12M

Beer Would Be Good Right Now (Acoustic)

Listed as Joe Lasher – Beer Would Be Good Right Now (Acoustic) (The Hurricane Mills Sessions (Acoustic)) · Watch on YouTube

youtube_video 8N1ya1LZEtk · row 8N1ya1LZEtk

LAION-DISCO-12M

Record Year (Acoustic Cover)

Listed as Joe Lasher – Record Year (Acoustic Cover) (The Hurricane Mills Sessions (Acoustic)) · Watch on YouTube

youtube_video RM8JD516bzQ · row RM8JD516bzQ

LAION-DISCO-12M

Nothing Better to Do Friday Nights

Listed as Joe Lasher – Nothing Better to Do Friday Nights (Nothing Better to Do Friday Nights) · Watch on YouTube

youtube_video fYOat2qJcCE · row fYOat2qJcCE

LAION-DISCO-12M

That's Gonna Get You Kissed (Acoustic)

Listed as Joe Lasher – That's Gonna Get You Kissed (Acoustic) (The Hurricane Mills Sessions (Acoustic)) · Watch on YouTube

youtube_video gddISibTnwQ · row gddISibTnwQ

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.