Verified65% confidenceFactExact time
The core argument of AI companies is that training models on vast amounts of text constitutes 'transformative use,' as the training process extracts statistical patterns from text rather than copying content for human reading.
3
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65%
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Long-term
Relevance
9/19/2026
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UnverifiedIn real-world scenarios, a portion of mixed-origin text—written by humans and then polished by AI, or generated by AI and then edited by humans—should be retained for training.78% similarUnverifiedThe personalized interpretations provided by AI are essentially a compression and reproduction of statistical patterns in massive training corpora, rather than genuine understanding at the semantic level77% similarUnverifiedCurrent mainstream large language models and AI systems are based on a training approach that combines self-supervised learning on massive datasets with reinforcement learning77% similarVerifiedAI companies argue that model training constitutes 'transformative use,' but rights holders counter that the training process involves complete copying of original works, and that generative AI is directly competing with and substituting for the original works market.76% similarUnverifiedAI生成内容同质化的根源在于当所有人使用相同基础模型且提示词高度相似时，输出趋向训练数据中最高频的表达模式75% similar
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