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Ethan Mollick: AI agents match human median, cut extreme errors in econ replication

Ethan Mollick: AI agents match human median, cut extreme errors in econ replication

Ethan Mollick highlights a new paper where Claude Code and Codex replicate a classic economics study, landing near the human median but with far tighter dispersion and no extreme outliers. He suggests this shows AI is now useful for scalable research, signaling a shift toward reliable AI-assisted analysis in social science.

Ethan Mollick
Ethan Mollick@emollick

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