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Legal consequences of generated content (Practical AI #232)
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 and copyrighting 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 – Mastodon, Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
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!
Timestamps:
(00:07) - Welcome to Practical AI
(00:43) - Damien Riehl
(01:36) - Regulations on AI
(03:52) - All the music
(07:21) - Human vs AI output
(11:30) - Working alongside AI
(14:51) - Finding the gray area
(20:47) - Ai is not copyright-able
(24:19) - Where is the line drawn?
(27:42) - Snake eating its own tail
(30:08) - Can I use these models?
(31:15) - Lessening value of IP
(34:05) - No more patents
(35:55) - 4 Worlds
(38:27) - Scarcity or abundance?
(39:36) - Outrunning the tsunami
(41:26) - Goodbye
(42:05) - Outro