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AI Agents and The Golden Age of Asking Questions with Dimitris Papailiopoulos (MSR/UW-Madison)

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Dimitris Papailiopoulos of Microsoft Research and the University of Wisconsin discusses how coding agents change scientific research. The conversation covers small arithmetic transformers, symbolic mathematical reasoning, interacting agents, and the role of human judgment and verification. It also examines diversity in machine-generated ideas, benchmark and harness overfitting, persistent agent errors, continual learning, world models, and where information theory helps explain AI. Hosted by Ravid Shwartz Ziv and Allen Roush; the full conversation is available on the publisher's YouTube channel.

Topics

coding agentsscientific researcharithmetic transformerssymbolic mathematical reasoninginteracting agentshuman judgmentverificationmachine-generated ideascontinual learning

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