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  • Podcast: We Are Living in a ‘ChatGPT Flyer Pandemic’
    We start this week with Jason’s story about the ChatGPT flyer pandemic. They’re everywhere! Thank you to the readers and listeners who sent in their own examples. After the break, Sam tells us how Waymo snitched on kids and drove them to a group of waiting cops. In the subscribers-only section, Joseph explains why he bought a $3,000 suit that electrocutes your muscles. Yep. Listen to the week
     

Podcast: We Are Living in a ‘ChatGPT Flyer Pandemic’

15 juillet 2026 à 11:58
Podcast: We Are Living in a ‘ChatGPT Flyer Pandemic’

We start this week with Jason’s story about the ChatGPT flyer pandemic. They’re everywhere! Thank you to the readers and listeners who sent in their own examples. After the break, Sam tells us how Waymo snitched on kids and drove them to a group of waiting cops. In the subscribers-only section, Joseph explains why he bought a $3,000 suit that electrocutes your muscles. Yep.

Listen to the weekly podcast on Apple Podcasts, Spotify, or YouTube. Become a paid subscriber for access to this episode's bonus content and to power our journalism. If you become a paid subscriber, check your inbox for an email from our podcast host Transistor for a link to the subscribers-only version! You can also add that subscribers feed to your podcast app of choice and never miss an episode that way. The email should also contain the subscribers-only unlisted YouTube link for the extended video version too. It will also be in the show notes in your podcast player.

  • ✇404 Media
  • Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius
    The AI music generation tool Suno scraped millions of songs and lyrics from YouTube Music, Deezer, and Genius, as well as from the stock music libraries Pond5, Jamendo, Freesound, the International Music Score Library Project, and podcasts via RSS feeds, according to a hacker who breached the company and shared data about Suno’s training libraries with 404 Media. The hacker was also able to access user information for hundreds of thousands of Suno’s customers, as well as Stripe payment inform
     

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

15 juillet 2026 à 09:59
Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius

The AI music generation tool Suno scraped millions of songs and lyrics from YouTube Music, Deezer, and Genius, as well as from the stock music libraries Pond5, Jamendo, Freesound, the International Music Score Library Project, and podcasts via RSS feeds, according to a hacker who breached the company and shared data about Suno’s training libraries with 404 Media. The hacker was also able to access user information for hundreds of thousands of Suno’s customers, as well as Stripe payment information, they said.

The hacked data is a rare look at exactly how AI models and tools are built. Suno is one of the largest AI music generation tools on the internet, and has been the subject of several major lawsuits from the record industry, which accused the company of training on millions of copyrighted songs. As part of these legal proceedings, Suno previously admitted that it was trained on “essentially all music files of reasonable quality that are accessible on the open internet,” which included a total of “tens of millions of recordings.” Suno has been making the argument that it is allowed to train on copyrighted works as fair use in those cases, one of which has been settled. 

The lawsuits have made clear that Suno did train on huge amounts of copyrighted works, but the hacked data shared with 404 Media sheds more light on how Suno scraped songs from the internet and where it took them from. The Recording Industry Association of America accused Suno of ripping songs directly from YouTube; the hacked data seen by 404 Media confirms this.

The hacked material includes source code that appears to be from 2023 and 2024 that includes scraping instructions and details about the scope of at least some of the scraping. For example, the comments in one file note that they will pull from “genius_hq, youtube_music, freesound, jamendo, imp, deezer, ytm_tagged,” and that “non-music will be filtered out.” A file called “youtube_music” notes that at the time the file was last updated, it had ingested “2,013,545 music clips.” Another file contains comments about different datasets Suno had created, which included “113,879 hours of youtube_music,” “17,615 hours of genius_hq,” “410 hours of free sound,” “19,514 hours of imslp,” “3,726 hours of jamendo,” “62,117 hours of pond5_music,” “12,287 hours of deezer,” “152,162 hours of ytm_tagged,” and “103 hours of musescore_lyrics.” In total, this is at least decades worth of music. 

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