The source does not mention the underlying motivation (and it really should), but I think this is it: https://www.linkedin.com/posts/emollick_kind-of-a-big-dea

The source does not mention the underlying motivation (and it really should), but I think this is it: https://www.linkedin.com/posts/emollick_kind-of-a-big-deal-a-new-paper-shows-gpt-ugcPost-7227044105040654337--at6/ https://www.linkedin.com/posts/emollick_kind-of-a-big-deal-a... "... a new paper shows GPT-4 simulates people well enough to replicate social science experiments with high accuracy. Note this is done by having the AI prompted to respond to survey questions as a person given random demographic characteristics & surveying thousands of "AI people," and works for studies published after the knowledge cut-off of the AI models." A couple other posts along similar lines: https://www.linkedin.com/posts/emollick_this-paper-suggests-a-potential-massive-revolution-ugcPost-7187443262675189760-Fi62/ https://www.linkedin.com/posts/emollick_this-paper-suggests-... "... LLMs automatically generate scientific hypotheses, and then test those hypotheses with simulated AI human agents. https://www.linkedin.com/posts/emollick_formula-for-neat-ai-papers-take-a-psychological-activity-7256392145304006656-11Kq?utm_source=share&utm_medium=member_desktop https://www.linkedin.com/posts/emollick_formula-for-neat-ai-... "Applying Asch's conformity experiment to LLMs: they tend to conform with the majority opinion, especially when they are "uncertain." Having a devil's advocate mitigates this effect, just as it does with people."