Can LLMs Supercharge Geolocations? Big Improvements but Humans Remain Key
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Ranked by a public rubric, not by votes: what a comment adds counts, not who wrote it. How comments are ranked · Comment rules
Summary
Bellingcat ran a benchmark of 52 unpublished, hard-to-geolocate photos across closed and open AI models, scoring them on regional accuracy and fine-grained distance. Anthropic's Claude Opus and Fable and Google's Gemini 4 Argon performed best, often narrowing locations faster than humans could.