Core Insights - The article highlights the significant privacy risks associated with AI models, particularly OpenAI's ChatGPT o3, which can accurately geolocate individuals based on subtle clues in images [1][2][58] - A new study led by researchers from the University of Wisconsin-Madison and other institutions reveals how AI can exploit seemingly innocuous photos to pinpoint a user's address within a one-mile radius [1][58] Group 1: AI's Geolocation Capabilities - The study demonstrates that simple user prompts combined with a photo can trigger AI's multimodal reasoning chain to accurately locate private addresses [5][11] - Specific examples illustrate AI's ability to identify locations using minimal clues, such as building styles and environmental features, achieving high precision in predictions [10][11][44] Group 2: Privacy Leakage Mechanisms - The research identifies "urban infrastructure" and "landmarks" as primary contributors to privacy breaches, with AI leveraging features like fire hydrant colors to narrow down search areas [53][58] - AI's reasoning capabilities allow it to cross-verify secondary clues, such as cloud patterns and vegetation shadows, even when primary identifiers are obscured [56][59] Group 3: Implications for Privacy Protection - The findings suggest that traditional privacy protection measures are ineffective against AI's advanced reasoning abilities, necessitating a reevaluation of privacy defense strategies [56][58] - The study calls for integrating privacy protection into the design standards of multimodal AI models and establishing a safety assessment framework for AI's geolocation capabilities [59]