Philadelphia blogger creates first AI deathcore album for Eagles fans

Kevin Kinkead, a Philadelphia sports blogger, has released what he claims is the first AI-generated deathcore album celebrating the Philadelphia Eagles using Suno, an artificial intelligence music platform. The experimental project, titled “WORMBURNER,” explores the intersection of AI music generation and sports fandom while raising broader questions about artificial intelligence’s role in creative industries.

What you should know: The album represents a novel application of AI music generation technology in the sports entertainment space.

• Kinkead used Suno’s AI platform to create deathcore tracks specifically themed around the two-time Super Bowl champion Philadelphia Eagles.
• Early reviews have been “mostly positive,” with negative feedback primarily coming from rival New York Giants fans.
• All monetization has been turned off, and any accidental revenue will be donated to the Eagles Autism Foundation.

The creator’s perspective: Kinkead acknowledges the controversial nature of AI-generated music while positioning it as a supplementary tool rather than a replacement for human creativity.

• “Some people absolutely hate it, which is understandable. They think A.I. is an affront to musicians who write and record their own stuff, and it’s hard to disagree with that.”
• He believes AI music platforms are “never going to turn out a Hotel California or Stairway to Heaven” due to their current limitations.
• The technology can only produce “limited snippets of certain genres” or “create rudimentary beats for EDM or similar.”

Potential applications: The experiment suggests AI music tools could serve as creative supplements rather than standalone solutions.

• AI could help songwriters who have “some ideas floating around” or “a framework for a song written out but can’t get to the finish line.”
• These platforms can generate “new riffs and hooks and patterns” and provide vocal patterns based on lyric prompts.
• The technology can remix uploads and rearrange song sections to help complete unfinished works.

Broader implications: The project highlights ongoing debates about technology’s role in creative industries.

• Kinkead draws parallels to existing music production technology, questioning where to “draw the threshold” on artificial enhancement.
• He compares AI music generation to autotuned vocals and Pro Tools filtering, asking “at what point has a raw track been altered to the point where it’s unrecognizable from the original?”
• The creator notes similar patterns across disciplines, citing his publication’s use of AI for “game previews and stat-heavy articles” while acknowledging limitations in producing “award-winning column writing.”