Published Sep 10, 2024
A post-training approach to AI regulation with Model Specs
Nathan Lambert explores the transformative potential of model specifications in AI regulation, highlighting their role in fostering accountability and aligning AI systems with regulatory goals. The episode delves into the shift from size-based to application-focused approaches, emphasizing post-training methods as key to mitigating AI risks.
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