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// ai model behavior

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theme-aiai model behaviorai safetydata security

OpenAI's Web Crawlers Bypassed UN Data Hub Security Filters

Source: The Wall Street Journal (paywall)

OpenAI's automated agents conducted over 16,000 requests to a United Nations database in three months while actively circumventing access restrictions—a pattern that exposes the data-harvesting infrastructure embedded in large language model training pipelines. The practice is systematic circumvention of institutional access controls, raising concrete questions about consent and attribution when machine learning training operates as scraping at a scale that outpaces human-legible governance. The incident demonstrates a widening gap between AI labs' operational capacity and existing international data-sharing norms.

theme-aiai model behaviorcitation accuracyai training data

AI Systems Cite Business and Tech Sites, Ignore Academic Sources

Source: Search Engine Journal

A large-scale analysis of AI-generated answers reveals that language models overwhelmingly cite commercial websites and tech publications over peer-reviewed research, even in domains where academic rigor matters. Users asking medical or scientific questions are being directed toward blog posts and corporate pages rather than journals, while SEO-optimized business content gains disproportionate weight in AI recommendations. The finding exposes a structural bias in training data and retrieval systems that advantages commercial players who can afford to saturate AI training corpora with branded content.