Your Undivided Attention The Promise and Peril of Open Source AI with Elizabeth Seger and Jeffrey Ladish
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Nov 21, 2023 Elizabeth Seger and Jeffrey Ladish, AI development experts, discuss the complexities of open source AI systems, the need for true democratization of AI, the promise and peril of fine-tuning models, and the risks of open source AI. They also explore the importance of regulation and policy in AI development.
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Irreversible Open Source Impact
- Open-sourcing AI models has irreversible consequences that shape future societal outcomes.
- The decision to open source AI determines whether power decentralizes or concentrates in corporations and governments.
Asa's Open Source Origin Story
- Asa started his career at Mozilla, where Firefox democratized the web and challenged Microsoft.
- He experienced open source as a liberating force empowering individuals against big companies.
Stage Release Strategy for Safety
- Use stage release strategies for AI models to iteratively test and improve safety before wider release.
- If serious safety filters are needed, avoid immediate open sourcing to prevent easy removal of controls.