Simon Willison reports Jeremy Howard's argument that top AI labs should not use their leading models for frontier research to avoid power imbalances. While Howard's proposal aims to democratize AI advancements, it may inadvertently stifle innovation by restricting the very entities best positioned to push the frontier. The debate underscores the tension between ethical considerations and technological progress in AI development. As labs like Anthropic reportedly continue to advance their models, the industry must grapple with the implications of such power dynamics.
AI labs face ethical dilemma over recursive self-improvement
Jeremy Howard argues top AI labs should restrict their own use of leading models to prevent power imbalances.
AIpressr commentary on an article originally published by Simon Willison.
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Editor's Take
Simon Willison highlights Jeremy Howard's critique of Anthropic's approach to recursive AI self-improvement. Howard suggests that the lab with the top-ranked model should refrain from using it for frontier AI research, while others should have access. This, he argues, would prevent dangerous power imbalances. In our view, this raises critical questions about the ethics and governance of AI development.
“The lab with the top-ranked model must agree THEY must not use it for working on frontier AI But everyone else should have access to it.”
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