Benn Jordan
Musician & YouTuber
Electronic musician (releasing as The Flashbulb) and YouTuber who built adversarial-noise “poison pill” tools to sabotage AI models that scrape music without consent — turning artist frustration into a technical counterattack.
Why this score
How the formula works →- +3.5antiCampaigns against AI
- +1.9antiBlocks AI training on their work
- +0.9anti2 anti-AI statements (forceful)
- ±0nuancedHolds a documented two-sided view
- ±0nuancedSupports AI only with conditions
Weights, statement counts, the ×1.25 multiplier for having a stake in an AI-impacted field, and the formula’s smoothing are already baked in — the points add up to the score (direction-free evidence pulls toward the middle instead): Firmly Anti-AI · 6.3/10
In his words
Once tech companies started raising millions of venture capital dollars and scraping my music without my consent, then generating shittier music with it that is inadvertently associated with my name and then attempting to resell that…
Unethical generative AI companies have made artists feel incredibly powerless for quite some time now. But all of that is about to change.
Biography
Benn Jordan is an American electronic musician who has released music since the early 2000s, best known under the alias The Flashbulb, and who runs a popular YouTube channel about music technology, audio science, and the business of being an independent artist. His videos pair hands-on engineering with a pointed skepticism of the platforms and companies that sit between musicians and their audiences.
Poisoning the scrapers
In 2025 Jordan turned that skepticism into code. Alarmed that generative-music startups were training on copyrighted recordings without permission — and then flooding streaming services with cheap imitations that siphon royalties from working musicians — he developed “poison pill” techniques, including a tool he calls Poisonify, that embed imperceptible adversarial noise into audio. To a human it sounds unchanged; to a model trying to learn from it, an instrument classifier might hear a piano as a flute, degrading anything trained on it. He has pledged to encode his own discography this way.
Jordan is explicit that his objection is not to the underlying math but to consent and compensation: he has met with US legislators about requiring AI companies to log training data and obtain permission from rights holders, and he built a licensed, artist-paid vocal model to show that consensual data can outperform scraped data. He argues copyright and IP law have failed artists, so technology has to fill the gap.
Quote sources
- YouTube, 2025(youtube.com)
Sources & further reading
Canonical record: https://battlelines.ai/topic/benn-jordan








