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6 articles
Mathematicians are challenging OpenAI over the use of unpublished research in its AI training, calling the company's practices unethical and lacking transparency. The controversy raises broader questions about AI development ethics and academic integrity.
Learn what AI training data is, why it's so valuable, and how companies like Micro1 are capitalizing on the growing demand for high-quality examples that teach AI systems to recognize patterns and make decisions.
This explainer explores how AI systems learn from artwork and why using artists' creations without permission raises important questions about fairness, rights, and the future of creativity.
Learn how to work with AI training data using Python, including data security practices and processing pipelines. This tutorial teaches beginners how to handle sensitive data like AI companies do.
This article explains how AI training data works and why Apple's recent actions to block vibe-coding apps and its use of crawlers like Applebot-Extended are significant in the broader AI landscape.
This article explains how AI companies like Meta are using copyrighted news content for training large language models, and the implications of such data licensing deals for publishers and the broader AI industry.
