Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Legal consequences of generated content
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