Project ideas from Hacker News discussions.

Song banned from Swedish charts for being AI creation

📝 Discussion Summary (Click to expand)

1. Tension Between Market Forces and Human Artistic Livelihood

Many commenters frame the issue as a choice between consumer freedom and protecting the economic viability and human connection of professional musicians. One side argues that if consumers prefer AI music, the market should decide, while the other side contends that allowing low-cost, AI-generated content to dominate would destroy the ability for humans to make a living from music.

  • Support for letting the market decide: "How about we let the consumers decide what they want to listen to. Right? Or are you afraid of what the consumers might like and thus preemptively want to strike." — dist-epoch
  • Support for protecting human musicians: "Or also, AI music will lessen the good feeling some people get when they believe that musicians can make money producing music... I don't disagree that these things exist, but I do believe that these are mostly propped up by dynamics that will soon no longer exist." — bitshiftfaced
  • Acknowledging the economic threat: "If something is going to be close to free to produce the consequence will be that no commercial piece of music will be incentivized to be produced by humans. Commercial music isn't the only way to make music, but it pays people that want to professionally work as musicians." — pawelduda

2. The Definition and Value of "Slop"

A central debate revolves around whether AI-generated music is inherently low-quality "slop" and whether popularity is a valid measure of value. Some argue that AI music is generic and lacks artistic intent, while others contend that much popular human music is also formulaic and that the end result is what matters to listeners.

  • Defining AI music as "slop": "Slop" doesn't mean "bad" or "designed for mass appeal". It means "low effort and inhuman" (to oversimplify)." — happytoexplain
  • Challenging the label of "slop": "Is it slop if enough people enjoyed it to be on the top charts?... I get the outrage with respect to copyright and artist rights, but it certainly doesn't look like slop to me." — trevor-e
  • Drawing a line at artistic intent: "Despite that, the music still has artistic intent and AI does not." — josefritzishere

3. The Role of Industry Gatekeeping and Transparency

The discussion extends to the function of music charts and the practicality of regulating AI. Participants debate whether official charts are arbiters of quality or merely popularity, and whether removing AI music from charts is a form of protectionism or censorship. The idea of simply labeling AI music emerges as a potential middle ground.

  • Viewing charts as industry-approved, not popular: "So they have a chart of music that they approve of that people like, as opposed to music that people like." — delichon
  • Questioning the effectiveness of bans: "The outcome of this is just people lying about using AI. It's incredibly naive to think you can stop AI use by banning it. Banning AI just means banning admitting you used AI." — Workaccount2
  • Proposing a transparency-based solution: "Just force an AI label on it and that's that. Whoever wants to listen to it at least don't get tricked into thinking it has to do with a real person behind it... simply labeled AI if it's AI generated." — tartoran

🚀 Project Ideas

[AI Music Transparency & Provenance Layer]

Summary

  • Solves the "deception" and "slop" frustration where listeners feel tricked by AI-generated music posing as human.
  • Provides a browser extension or mobile overlay that identifies AI-generated tracks on major streaming platforms and displays provenance data.
  • Core value proposition is restoring listener trust and providing informed choice without restricting access to the music itself.

Details

Key Value
Target Audience Music listeners who value human artistry, digital rights advocates, and content creators who want to label their own work.
Core Feature Real-time detection of AI-generated audio on Spotify/Apple Music/YouTube Music via audio fingerprinting and metadata scanning.
Tech Stack Python (audio analysis libraries), Web Extensions API, Cloud Functions (AWS Lambda), Vector Database for fingerprinting.
Difficulty Medium
Monetization Revenue-ready: Freemium model (basic detection free), Premium subscription for detailed provenance and "human-only" filtering.

Notes

  • Responds to comments like tartoran: "Just force an AI label on it... Some people don't care, others do."
  • Addresses the frustration in fasterik's comment about being tricked into listening to something AI-made and feeling deceived.
  • Practical utility for the growing number of HN users concerned about the dilution of human creativity in digital platforms.

[Artist-Guild Verified Live Performance Registry]

Summary

  • Solves the "hologram" and "authenticity" fear where AI eventually replaces live human performers.
  • A decentralized registry and ticketing add-on that cryptographically guarantees a performance involves a living human artist.
  • Core value proposition is ensuring that live music remains a space for human connection and a reliable income stream for musicians.

Details

Key Value
Target Audience Live music fans, musicians, independent venues, and festivals.
Core Feature Smart contracts or QR-based verification tied to physical ticketing that validates "human on stage" protocols.
Tech Stack Blockchain (Ethereum/Polygon), QR/NFC hardware, React Native app.
Difficulty Medium
Monetization Revenue-ready: Small transaction fee per ticket sold through the registry or a subscription model for venues to use the verification tool.

Notes

  • Directly addresses pawelduda's point about live performance acting as a filter, but adds a verification layer to prevent AI/hologram replacements mentioned by LunaSea.
  • Taps into the sentiment expressed by happytoexplain regarding "protecting people's livelihoods" in a specific, measurable way rather than broad bans.
  • High discussion potential regarding the intersection of cryptography, art, and the "experience economy."

[Open-Source "Human-Legacy" Music DAW Plugin]

Summary

  • Solves the "slop" and "effort" debate by creating a tool that forces human imperfection and workflow into the digital music creation process.
  • A Digital Audio Workstation (DAW) plugin that injects "humanized" randomness, limits copy-paste efficiency, and requires continuous recording takes to prevent the sterile, loop-based nature of AI generation.
  • Core value proposition is preserving the "human touch" in music production as a counter-cultural badge of honor and quality standard.

Details

Key Value
Target Audience Professional producers, hobbyist musicians, and anti-AI audio engineers.
Core Feature "Imperfection Engine" that modifies MIDI and audio input to remove robotic quantization and generates unique, non-replicable variations per take.
Tech Stack C++ (JUCE framework), VST3/AU plugins, potentially Rust for the core logic.
Difficulty High
Monetization Hobby: Open source with optional paid presets or donation-ware model to support development.

Notes

  • Addresses josefritzishere's distinction between AI lacking "artistic intent" and human production having it, by giving humans a tool to amplify that intent.
  • Responds to the broader discussion on "slop" by providing a tangible technical solution to create higher-effort, non-AI music.
  • Could become a standard in communities that value the "maker" ethos, similar to how "handmade" goods are valued in manufacturing.

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