The Cloudcast

AI Safety and Regulation

6 snips
May 15, 2024
Mark Collier, COO @ OpenInfra Foundation, discusses the importance of open source AI, transparency, and AI regulation. He highlights the risks of AI arms race, the need for open collaboration to prevent 'AI overlords', and the challenges in balancing innovation and regulations in the AI industry.
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INSIGHT

Risks Of Proprietary AI Concentration

  • Concentration of proprietary AI power worsens societal risks by limiting voices and access.
  • Open source development increases diversity, accessibility, and researchability of AI systems.
INSIGHT

Open Source Definition Doesn't Neatly Map To AI

  • Current licences and practices often fail the traditional open source definition for AI models.
  • Reproducibility breaks down because models, weights, and training data are not fully shared.
ADVICE

Prefer Cost-Effective Open Models When Suitable

  • Evaluate if an open source LLM is good enough for your production use before paying for proprietary models.
  • Choose less expensive models when they meet your requirements to reduce cost and dependency.
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