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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
Millions of Copyrighted Songs Were Fed to AI Music Genera...
Al Landes · 2026-06-16 · via Hacker News - Newest: "AI"

Atlantic databases name 21 million tracks fed to Suno and rivals as Sony, UMG, and Warner seek $150,000 per song in damages

Millions of copyrighted songs — including chart-topping hits — verifiably trained AI music generators, and now there are searchable databases to prove it. The Atlantic, through an investigation by staff writer Alex Reisner, published four catalogs documenting exactly which music fed these models:

  • The largest contains roughly 12 million tracks
  • The second holds about 9 million
  • Two smaller sets clock in around 100,000 each

These aren’t obscure SoundCloud demos. Taylor Swift is in there. Bad Bunny is in there. The catalog of modern popular music, scraped and swallowed whole.

Suno, one of the most prominent AI music generators, acknowledged in court filings that it trained on “tens of millions” of recordings — later admitting unlicensed copyrighted material was included, according to Heavy Lifting, citing court filings.

The legal picture that emerges is striking. Sony, UMG, and Warner have filed lawsuits against Suno and Udio seeking up to $150,000 per song in statutory damages. A parallel book-industry case framed mass scraping as piracy rather than simple copyright infringement and reached an initial $1.5 billion settlement figure, according to Engadget. Meanwhile, the U.S. Copyright Office stated in January 2025 that AI-generated music often cannot itself be copyrighted without sufficient human authorship — meaning these tools can potentially infringe existing works while producing outputs that carry no protection of their own.

The AI companies call it fair use. They argue models learn abstract patterns, not specific songs. Labels call it piracy with a pitch deck. Courts are still deciding who’s right.

“Trained on copyrighted recordings without permission” — that’s how label plaintiffs have characterized the practice in filings, as summarized in industry commentary.

Researchers at the University of Tennessee developed HarmonyCloak, a tool that adds inaudible audio perturbations to recordings, making songs effectively unlearnable by AI models while sounding identical to human ears — a rare artist-controlled option in a landscape where most protections remain theoretical.

What Comes Next

The scrape-everything era may be ending as labels, lawmakers, and researchers build workable alternatives.

The fight is already shifting from courtrooms to contracts. Warner Music Group and Universal Music Group have reportedly struck deals with Udio and Suno respectively, moving toward licensed AI music models that actually compensate rightsholders. Tennessee passed a law protecting musical artists’ voices from unauthorized AI cloning. Streaming platforms are deploying AI-detection tools to flag and limit generative imitations — though results have been mixed, according to Engadget, with AI-generated copycats continuing to slip through and monetize.

Whether you’re an indie artist wondering if your EP got scraped, or someone who generated a birthday jingle on Suno last week, The Atlantic’s databases aren’t just journalism. They’re evidence. The Napster debate is back — this time wearing a licensing agreement and filing for fair use — and it just got a searchable answer. These are among the most consequential tech scandals to emerge from the AI era, reshaping how creators think about ownership in the digital age.