
Researcher specializing in mechanistic interpretability of neural networks, notable for work at OpenAI, Google Brain, and founding the research organization Anthropic
Chris Olah is an AI researcher known for pioneering work in mechanistic interpretability, aimed at understanding how neural networks operate internally.
He has worked at prominent AI institutions including OpenAI and Google Brain.
Chris co-founded Anthropic, focusing on AI safety and interpretability.
His research helps improve transparency and safety in artificial intelligence systems.

Topic: Artificial intelligence, AGI, and the future of AI and humanity

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