

Lawfare Daily: Chinny Sharma and Yonathan Arbel on the Promises and Perils of Open-Source AI
Jul 8, 2024
Chinny Sharma and Yonathan Arbel discuss open-source AI, covering its origins, implications, and regulatory challenges in the AI community. They explore the benefits of transparency and community collaboration in open-source models, while addressing ethical risks like bias and security concerns. The conversation also touches on the complexities of regulating open-source AI and the need to differentiate between powerful and simple models.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Intro
00:00 • 2min
Exploring Open-Source AI: Significance, Challenges, and Future Predictions
02:00 • 17min
Exploring Open-Source AI and Business Strategies
19:13 • 1min
Balancing Transparency and Risks in Open-Source AI Models
20:33 • 6min
Discussion on Open-Source AI and Personal Data Privacy
26:23 • 6min
The Complexities of Open-Sourcing AI Models
31:55 • 25min
Discussion on Liability Changes in Open-Source Bill and Podcast Promotion
56:53 • 2min