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Dario Amodei suggests that closed-weight, secret models may be worse than open-weight ones, sparking discussion on AI transparency and safety.
This article provides a systematic and comprehensive overview of AI explainability, covering its needs (debugging, compliance, safety), classic methods, and cutting-edge challenges, emphasizing that faithful explanations are more important than plausible ones.
ModSleuth is a new tool that traces the dependencies of modern LLMs, revealing that models like OLMo 3 and Nemotron 3 rely on hundreds of other models and datasets, highlighting the shift from human-only to AI-generated training data.