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On Making Music with the Machine

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Have been making music using ML/AI tools for about as long as I've been on HN. Had a recent comment section on HN here [1] and after that thought it might be worthwhile to write out about the journey in greater detail... from crude LSTM models, to hacking around with Jukebox, and now Suno.[1]: https://news.ycombinator.com/item?id=45388822

HN · launched Dec 29, 2025 · 6 upvotes (top 73%) · 0 views

Niche: ai music generators · 149 launches, 5 in the last 7 days ▼ -74% · Explore this niche →

Category and tags

  • Media & entertainment
  • B2C
  • AI feature
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

No This is an essay/blog post documenting the author's journey using machine learning models for music generation over the years rather than a software product to vibe-code.

What it would actually take: As an educational essay, there is no software product to reverse engineer. If referring to building an underlying generative music engine like Jukebox or Suno, it requires multi-modal diffusion or autoregressive audio models trained across petabytes of copyrighted music on GPU clusters with specialized DSP and ML audio engineering.

Discussion

8 comments analyzed.

Competitors mentioned: Udio, Traditional music creation (vocal chords, violin)

Concerns raised: Copyright ownership unclear - AI-generated music may not be copyrightable under US law, Spotify distribution of AI music creates legal/financial risk, Not genuine songwriting - lacks human authorship required by law, Output quality concerns - results described as 'slop' without significant curation effort

Competitors

Other products that read as similar to this one : 432 launches clear the similarity bar, closest 8 shown.

Attention rank: #366 of 433 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 61 days after the earliest competitor.

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