Third-party cyber evaluations involving OpenAI models
openai.com·14h ago
Data Science
Simon Willison's Blog·16d ago·5 min read
Who’s Afraid of Chinese Models?
TL;DR
U.S. companies face challenges in competing with Chinese AI models due to restrictive copyright policies. Ben Thompson proposes a law to classify data collection for model training as fair use and to prohibit distillation restrictions.
✦ Why It Matters
Consider advocating for or developing policies that support fair use in AI data collection within your organization.
Key Takeaways
- Advocate for legal clarity on data collection for AI training.
- Support policies that prevent distillation restrictions in the U.S.
- Monitor developments in open-source AI models like Qwen 3.8 Max.
- Engage in discussions about international AI collaboration and competition.
How It Works
The proposal suggests that by defining data collection for training AI as fair use, U.S. companies can freely gather data without legal repercussions. This would also allow them to utilize distillation, enhancing their models' capabilities by learning from existing ones.