Mythos, China, and a New Era of AI Regulation
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Mythos, China, and a New Era of AI Regulation
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What happened with Anthropic's Mythos and Fable models? Why did Anthropic's approach to AI safety trigger such strong backlash? What does this mean for the future of AI regulation? What role does open-source AI play in this new era of AI control? How will this impact Chinese AI labs and open-source AI models?
In this episode, I talk with Nathan Lambert, a leading expert on open-source AI. He previously led post-training at Ai2, founded The ATOM Project, and writes the popular Interconnects AI newsletter.
Topics covered:
- Anthropic, Mythos, Fable, and the Claude controversy
- Are Anthropic’s AI safety claims sincere?
- Silent degradation, trust, and researcher backlash
- Open science, open-source AI, and safety
- How will Anthropic's new safety features impact Chinese AI labs?
- The “AGI era” of AI governance
- Is open-source AI safer or riskier?
- Why US developers use Chinese open-source models
- What Nathan learned from visiting China’s AI labs
- Are Chinese AI labs AGI-pilled?Follow Nathan Lambert:
- Interconnects newsletter
- The ATOM Project
- X/Twitter: @natolambert
Follow Kyle Chan:
- High Capacity newsletter
- X/Twitter: @kyleichan
#AI #ArtificialIntelligence #Anthropic #mythos #fable #Claude #OpenSourceAI #ChinaAI #AIGovernance #AISafety