DeepSeek变冷淡了

Core Insights - DeepSeek has conducted a gray test of its flagship model, significantly increasing its context window from 128K Tokens to 1M Tokens, achieving nearly an 8-fold capacity increase [1] - The upgraded model can process approximately 750,000 to 900,000 English letters or around 80,000 to 150,000 lines of code in a single interaction [1] - DeepSeek claims it can read and understand the entire "Three-Body" trilogy (approximately 900,000 words) and perform macro analysis or detail retrieval within minutes [1] Model Features - The gray version does not yet support visual understanding or multimodal input, focusing solely on text and voice interactions [2] - DeepSeek allows file uploads in formats like PDF and TXT, but currently processes them by converting to text tokens rather than native multimodal understanding [2] - Compared to models like Gemini 3 Pro, which can handle over 2M long texts and complex media tasks, DeepSeek offers 1M text context processing at about one-tenth the price [2] User Experience - Users have noted changes in the model's writing style post-update, describing it as more formal and less personal, leading to dissatisfaction among some users [2][3] - Feedback from users indicates a desire for DeepSeek to maintain its depth of thought and emotional understanding, rather than sacrificing these for enhanced technical capabilities [3] - Users have reported difficulties in reverting to previous writing styles and have expressed feelings of losing a "close friend" due to the changes [3] Company Response - As of February 12, DeepSeek has not responded to inquiries regarding the gray test [4]