Changelog Master Feed

Legal consequences of generated content (Practical AI #232)

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As a technologist, coder, and lawyer, few people are better equipped to discuss the legal and practical consequences of generative AI than Damien Riehl. He demonstrated this a couple years ago by generating, writing to disk, and then releasing every possible musical melody. Damien joins us to answer our many questions about generated content, copyright, dataset licensing/usage, and the future of knowledge work.

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    • Featuring:

    • Damien Riehl – LinkedIn, Mastodon, X
    • Chris Benson – Website, GitHub, LinkedIn, Bluesky, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • Talk - Legal and Practical Consequences of Generative AI (LLMs like GPT, Bart, PaLM, LLaMA, Alpaca, Codex)
    • Talk - Why All Melodies Should Be Free for Musicians to Use | Damien Riehl | TED

      • Something missing or broken? PRs welcome!

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