Expired50% confidenceEventExact time
Anthropic accuses Alibaba of using 29 million interactions with Claude to distill training data for training the Qwen series of models.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/8/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/6/2026(expired)
Sources
GPT-5.6 Sol对决Fable 5：半价能否媲美旗舰？
bilibiliYoutube力工7/6/2026
Related Claims
UnverifiedAnthropic accuses Alibaba of illegally using 29 million Claude conversation records to extract training data for training Chinese-language models.83% similarUnverifiedIn Google Brain's 2020 ViT paper, it was noted that ViT trained from scratch on ImageNet-1K (1.28 million images) underperforms CNNs of equivalent scale, but begins to surpass CNNs when pre-training data is scaled to ImageNet-21K (14 million images) or JFT-300M (300 million images)62% similarUnverifiedThe research team measured inference and training speed improvements of more than 20% on a billion-parameter-scale sparse LLM.60% similarUnverifiedAlibaba's new-generation Qianwen model has 2.4 trillion parameters, making it the first multimodal large model in the series to exceed one trillion parameters; its code generation accuracy is reportedly 94.7%, an improvement of approximately 11 percentage points over the previous generation.60% similarUnverifiedA 2024 study indicates that even when AI-generated content accounts for only 10–20% of training data, measurable quality degradation can occur after multiple generations of training.56% similar
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