Understanding AI Systems at Scale: Applied Interpretability, Agent Robustness, and the Science of Model Behaviors

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Join two Transluce researchers as they discuss their latest work and research vision. Transluce is a company building the public tech stack for understanding AI systems. Topics will include applied interpretability, scalable oversight, reinforcement learning, and discovering rare behaviors in language models.