// model development

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Jul 17

Suno's massive music scraping operation exposed

Suno built its music generation model by ingesting millions of copyrighted songs and lyrics without permission from YouTube Music, Deezer, and Genius—a training shortcut that mirrors but amplifies tactics used across the generative AI industry. The practice is structural to the product, not incidental. Suno faces potential copyright liability while its users may unknowingly generate derivative works from uncleared sources. This exposes a legal and ethical question that will confront every AI music startup and their investors: whether training-data opacity is sustainable.

theme-ai training data model development data governance

Jun 14

Mozilla's Data Collective aims to remake AI training through privacy-first sourcing

Source: SiliconANGLE

Mozilla is positioning itself as a counterweight to big tech incumbents' indiscriminate data scraping by creating a marketplace where creators and publishers can directly license content for AI training at fair rates. This challenges the current model where OpenAI, Meta, and others train on internet-scraped content first and negotiate licenses later—or not at all. The test is whether Mozilla can make this economically viable when the status quo lets trillion-dollar companies train for free.