截至13点51分，科创人工智能ETF（589010）抹平早盘跌幅，目前报收平盘。盘面呈现"先抑后扬"走 势，午后维持高位震荡，当前正处于日内均线附近的整固阶段。内部结构化特征显著，30只持仓股涨跌 对半。其中，中科星图、思看科技两只龙头个股强势上攻，涨幅均超过10%；星环科技涨超7%，复旦 微电、优刻得涨超5%，为组合贡献了主要向上动力。流动性方面：盘中成交近4000万元，交投活跃度 处于正常量能区间。 消息方面，在火山引擎2025冬季Force原动力大会上，火山引擎总裁谭待宣布"豆包助手API"正式登陆火 山方舟。豆包助手API（应用程序编程接口），是把豆包对话、思考、搜索等核心产品能力，通过API 的方式打包开放出来，让企业开箱即用。目前，首批四项文本能力上线火山方舟的应用实验室。 银河证券表示，当前，人工智能大模型参数规模正朝着两极分化方向发展，呈现出"超大参数模 型"与"轻量级模型"并行发展的态势。参数量千亿级别以上的超大参数模型，凭借海量参数，能够学习 更复杂的特征和模式，为定制化解决方案提供有力支持，有效满足企业和科研机构的高阶需求，在处理 复杂任务时具显著优势。而参数量一般在数十亿至百亿级别的轻 ...

Core Insights - DeepSeek has launched DeepSeek-OCR, an open-source model with approximately 3 billion parameters, which enhances scanning efficiency through a "visual-text compression" approach [1][2][3] - DeepSeek has recently been surpassed by its competitor Doubao in terms of monthly active users (MAU), with Doubao reaching approximately 157 million MAU, a 6.6% increase, compared to DeepSeek's 143 million [1][9] - The competition between DeepSeek and Doubao highlights a shift in the C-end AI market, with Doubao leveraging its multi-modal capabilities and integration with the Douyin ecosystem [1][2][9] DeepSeek-OCR Model - DeepSeek-OCR utilizes a "visual-text compression" method, achieving superior performance with fewer visual markers compared to traditional OCR systems [3][4] - The model can decode with 97% accuracy at 10x compression and maintain 60% accuracy at 20x compression, significantly reducing computational costs [7][18] - DeepSeek-OCR includes a "deep parsing mode" that converts financial charts into structured data, facilitating the generation of editable analysis formats [6][18] Competitive Landscape - Doubao's success is attributed to its broad audience targeting and integration with ByteDance's social platforms, making it more accessible to general users compared to DeepSeek's more technical approach [9][10][12] - The branding and user experience of Doubao are designed to appeal to a wider audience, contrasting with DeepSeek's more niche positioning [10][12] - Despite being overtaken, DeepSeek maintains a significant user base and continues to focus on technical advancements, with its V3 series boasting a total parameter count of 671 billion [17][19] Future Considerations - DeepSeek's ability to leverage its large C-end user base and differentiate its ecosystem will be crucial for competing with Doubao [19] - The release of DeepSeek-OCR may serve as a catalyst for model training and enhance the efficiency of data processing for future model iterations [18][19] - The ongoing development of the R2 model has faced delays, impacting DeepSeek's competitive edge in the rapidly evolving AI landscape [8][15][19]