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A new study by Stanford University has found that the world's biggest AI models are not very transparent. The study, which evaluated 10 major AI companies and their respective models, found that none of the companies are providing adequate transparency about their models. Transparency is important for a number of reasons. First, it allows users to understand how the models work and what data they are trained on. This is important for building trust in the models and for identifying any potential biases. Second, transparency can help researchers to improve the models and to develop new ways to use them. The lack of transparency in AI models is a growing concern. As AI models become more powerful and are used in more and more applications, it is important to ensure that they are used responsibly and ethically. #AIModels #Transparency #StanfordStudy #techresearch #AIInsights #TechTransparency #AIRevelations #aichallenges #StanfordResearch #technews