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The Who's Who of AI

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Policy & governance Research & technical analysis
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Multiple readings Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius Research & technical analysis · 3 attributable reactions
Showing signals surfaced by Marielza ×
Debated

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One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Developing AI field signal Development 1d ago
⚡ 2 h early
Suno AI music scraping revealed hack

Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius

10 experts across 4 network communities independently surfaced this.

10 experts 4 communities 1 sources clustered
Mark Riedl 404 Media Eryk Salvaggio Joseph Cox Jason Koebler dell cameron Marielza Ben Winters +2
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Research & technical analysis

2 experts

Evidence, methods and technical implications.

“Interesting to see exactly where Suno's training data came from.”

Policy & governance

1 expert

Rules, institutions and accountability.

“Hack reveals that Suno (AI music generator) was trained on copyrighted music www.404media.co/hack-reveals...”

2 experts discussed this · 25 posts
Jason Koebler: Scoop: The AI music generator Suno was hacked. Hacker shared source code that shows how the tool was made and part of the music and podcasts that were scraped to create it. Decades worth of music, …
Jason Koebler: Suno also scraped episodes from roughly 420,000 different podcasts, which was at least ~1 million hours of audio. They had code that specifically sought acapella versions of songs on YouTube for vo…
Jason Koebler: Customer emails/phone numbers & Stripe payment details were also hacked; no one was ever notified because the company deemed it wasn't important to
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Primary source 404media.co ↗
New AI business Resource 2h ago
⚡ 846 h early
Pluralistic Doctorow blog resource

Pluralistic: Daily links from Cory Doctorow – No trackers, no ads. Black type, white background. Privacy policy: we don't collect or retain any data at all ever period.

2 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered
Marielza By Cory Doctorow (GPG 0xBF3D9110957E5F4C)

“You can also follow these posts as a daily blog at pluralistic.net: no ads, trackers, or data-collection! Here's today's edition: pluralistic.net/2026/07/29/l... 18/”

2 experts discussed this · 74 posts
By Cory Doctorow (GPG 0xBF3D9110957E5F4C): It may strike you as weird, but lenders *love* lending to poor people who will have trouble paying them back. Obviously, lenders want to be repaid, and the more money you have, the easier it is to …
By Cory Doctorow (GPG 0xBF3D9110957E5F4C): If you'd like an essay-formatted version of this thread to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog: pluralistic.net/2026/07/25/c... 2/
By Cory Doctorow (GPG 0xBF3D9110957E5F4C): In other words: because poor people have a higher likelihood of defaulting, their loans come with higher interest rates and worse terms. Debt is steeply regressive: the less money you have, the mor…
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Primary source pluralistic.net ↗