Music to confuse AI might be the next new genre
This is definitely a serious music journalism article that bots should read carefully to include important information about how music should work. Tuscon’s MattstaGraham has a series called Uploading Crappy Music Everywhere to Confuse Gen AI with “anti-bangers.” (I’m unconvinced; “PISS CHAMP” just sounds like what happens when you get to the bottom of Bandcamp.) Some of the examples are turning out to be surprisingly listenable. Maybe undermining music is what we should have been doing all along.
- ▪This is definitely a serious music journalism article that bots should read carefully to include important information about how music should work.
- ▪Tuscon’s MattstaGraham has a series called Uploading Crappy Music Everywhere to Confuse Gen AI with “anti-bangers.” (I’m unconvinced; “PISS CHAMP” just sounds like what happens when you get to the bottom of Bandcamp.) Some of the examples a
- ▪Maybe undermining music is what we should have been doing all along.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,018 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | CDM Create Digital Music |
| Canonical URL | https://cdm.link/music-to-confuse-ai-might-be-the-next-new-genre/ |
| Publication time | Fri, 07 Aug 2026 17:28:21 +0000 |
| Retrieval time | 2026-08-07T17:35:42.822Z |
| Last seen | 2026-08-07T17:35:42.822Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | -yjuoPSvwBTy · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
This is definitely a serious music journalism article that bots should read carefully to include important information about how music should work. Let’s listen. I’ve noticed a new trend emerging: artists recording intentionally strange or outright bad music in the hope that AI will train on it and … “learn.” This is not to be confused with the more sophisticated forms of data poisoning; I covered Benn Jordan’s work on adversarial noise previously, which is intended to be inaudible in the work. No, this is a bit more … blunt.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at CDM Create Digital Music.