---
title: "Australian musicians sound warning note after Nick Cave, Kylie and many more slurped into AI training tool"
slug: "australische-musikgroessen-landen-in-ki-trainingsdatensaetzen"
date: 2026-06-26
category: tech-pub
tags: []
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/australische-musikgroessen-landen-in-ki-trainingsdatensaetzen
---

# Australian musicians sound warning note after Nick Cave, Kylie and many more slurped into AI training tool

**Published**: 2026-06-26 | **Category**: tech-pub | **Sources**: 1

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## TL;DR

- Australian musicians including Paul Dempsey, Bernard Fanning, Nick Cave, Kylie Minogue, Powderfinger and Jimmy Barnes have reportedly appeared in datasets tied to AI music training.

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## Summary

- Australian musicians including Paul Dempsey, Bernard Fanning, Nick Cave, Kylie Minogue, Powderfinger and Jimmy Barnes have reportedly appeared in datasets tied to AI music training.
- The Atlantic’s dataset search tool shows millions of creative works scraped from the web. Dempsey says he found Something For Kate’s full catalogue and his solo songs.
- The disputed material sits in Sleeping-DISCO-9M, with 9.7 million YouTube tracks plus Genius lyrics, and LAION-DISCO-12M, with 12.3 million YouTube tracks.
- APRA AMCOS calls the datasets evidence of stolen creative work. The Atlantic adds an important caveat: appearing in a dataset does not prove a specific AI model trained on that song.

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## Why it matters

Australian musicians including Paul Dempsey, Bernard Fanning, Nick Cave, Kylie Minogue, Powderfinger and Jimmy Barnes have reportedly appeared in datasets tied to AI music training.

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## Key Points

- Australian musicians including Paul Dempsey, Bernard Fanning, Nick Cave, Kylie Minogue, Powderfinger and Jimmy Barnes have reportedly appeared in datasets tied to AI music training.
- The Atlantic’s dataset search tool shows millions of creative works scraped from the web. Dempsey says he found Something For Kate’s full catalogue and his solo songs.
- The disputed material sits in Sleeping-DISCO-9M, with 9.7 million YouTube tracks plus Genius lyrics, and LAION-DISCO-12M, with 12.3 million YouTube tracks.
- APRA AMCOS calls the datasets evidence of stolen creative work. The Atlantic adds an important caveat: appearing in a dataset does not prove a specific AI model trained on that song.

---

## Nauti's Take

For AI music builders, this is not a PR problem. It is a licensing landmine. Treat training data like bycatch and you build products on burden of proof instead of trust. In music, provenance now matters as much as output quality.

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## FAQ

**Q:** What is Australian musicians sound warning note after Nick Cave, Kylie and many more slurped into AI training tool about?

**A:** - Australian musicians including Paul Dempsey, Bernard Fanning, Nick Cave, Kylie Minogue, Powderfinger and Jimmy Barnes have reportedly appeared in datasets tied to AI music training.

**Q:** Why does it matter?

**A:** Australian musicians including Paul Dempsey, Bernard Fanning, Nick Cave, Kylie Minogue, Powderfinger and Jimmy Barnes have reportedly appeared in datasets tied to AI music training.

**Q:** What are the key takeaways?

**A:** Australian musicians including Paul Dempsey, Bernard Fanning, Nick Cave, Kylie Minogue, Powderfinger and Jimmy Barnes have reportedly appeared in datasets tied to AI music training.. The Atlantic’s dataset search tool shows millions of creative works scraped from the web. Dempsey says he found Something For Kate’s full catalogue and his solo songs.. The disputed material sits in Sleeping-DISCO-9M, with 9.7 million YouTube tracks plus Genius lyrics, and LAION-DISCO-12M, with 12.3 million YouTube tracks.

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## Related Topics

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## Sources

- [Australian musicians sound warning note after Nick Cave, Kylie and many more slurped into AI training tool](https://www.theguardian.com/culture/2026/jun/26/australian-musicians-aussie-music-ai-training-tool-nick-cave-kylie-minogue-paul-dempsey) - The Guardian AI

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-06-28*
