Raw LLM Responses

Dr. Fry's entire field — mathematical modeling of human behavior, urban crime patterns, disease spread, social dynamics — is exactly the domain where the gap between messy human thinking and rigorous formal analysis is widest. Social science is drowning in ambiguity, contested definitions, confounding variables, and datasets that are noisy by nature. That's the whole reason her Cambridge position exists — to help people navigate that mess mathematically. Which makes it all the more strange that she'd frame LLMs with a metaphor that adds fog rather than removing it. She of all people should appreciate what these tools actually do at the interface level: take the inherent looseness of how humans think about complex social phenomena and translate that into something structured enough to be useful. That's practically a description of her own research program. And for someone working in social science specifically, the ability to go from a half-formed intuition about, say, the relationship between urban density and crime clustering, and have a tool parse that into rigorous search criteria across multiple databases and literatures — that's not a parlor trick. That's a methodological breakthrough for exactly the kinds of fuzzy, high-dimensional problems her field wrestles with daily. So the irony is double. She's using imprecise metaphor to describe a tool whose most fundamental capability is converting imprecision into precision — and she works in the field that arguably benefits most from exactly that capability. The "improvisational actor" framing isn't just technically wrong, it actively obscures the thing that would be most relevant and useful for her own audience to understand. https://www.perplexity.ai/computer/tasks/calling-out-anti-ai-bigotry-JX08wLHbTwC4.lPCHr46DA?view=thread