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Kabir's Tech Dives
Kabir
325 episodes
3 days ago
This episode provides a comprehensive view of AI-generated music, examining both its technical foundations and its cultural reception. One source offers a detailed technical analysis and comparison of four transformer-based models—Transformer-VAE, Multitrack Music Transformer, MuseGAN, and Pop Music Transformer—highlighting their functionalities in areas like multitrack composition and creative control. In contrast, the remaining sources focus on the critical and philosophical debate surround...
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All content for Kabir's Tech Dives is the property of Kabir and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
This episode provides a comprehensive view of AI-generated music, examining both its technical foundations and its cultural reception. One source offers a detailed technical analysis and comparison of four transformer-based models—Transformer-VAE, Multitrack Music Transformer, MuseGAN, and Pop Music Transformer—highlighting their functionalities in areas like multitrack composition and creative control. In contrast, the remaining sources focus on the critical and philosophical debate surround...
Show more...
Entrepreneurship
Education,
Technology,
Business,
How To
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⚖️ AI Copyright Litigation and the Anthropic Settlement 10 sources
Kabir's Tech Dives
7 minutes
1 month ago
⚖️ AI Copyright Litigation and the Anthropic Settlement 10 sources
This episode provides an extensive overview of the complex and rapidly evolving landscape of Artificial Intelligence (AI) copyright litigation, with a particular focus on the landmark $1.5 billion settlement in the Bartz v. Anthropic case. This settlement addresses Anthropic's infringement by pirating books from shadow libraries like LibGen and PiLiMi to train its large language model, Claude, although the court initially ruled that AI training itself qualified as fair use. The documents deta...
Kabir's Tech Dives
This episode provides a comprehensive view of AI-generated music, examining both its technical foundations and its cultural reception. One source offers a detailed technical analysis and comparison of four transformer-based models—Transformer-VAE, Multitrack Music Transformer, MuseGAN, and Pop Music Transformer—highlighting their functionalities in areas like multitrack composition and creative control. In contrast, the remaining sources focus on the critical and philosophical debate surround...