专题：第二十二届中国国际金融论坛 12月19日-20日，"第二十二届中国国际金融论坛"在上海举行，主题为：数字经济时代的智能金融生态 构建。中国银行原行长李礼辉出席并演讲。 李礼辉表示，人工智能潜在的安全风险和技术缺陷尚未因生成式AI的算法创新而淡化。而金融是安全 性和可信度要求近乎苛刻的行业，必须保证金融资产和金融数据的安全，保证金融交易和金融服务的可 靠性，保证账务处理和账务记录的准确性。 因此，基于现阶段的实践，他认为，中短期内智能金融创新有三点要求：一是高可靠性，二是可解释 性，三是经济性。"智能金融创新的基石是可信任，必须统筹安全和效率，注重算法与场景的匹配性与 适用性，实现模型可信，让客户信得过，让市场信得过，让政府信得过。" 李礼辉强调，智能金融创新并非是给传统体制传统流程加上智能化外套，而是从根本上改革体制，重构 流程，再造底层系统。在智能金融治理上，过于严苛的监管可能抑制技术创新和产业发展，应该刚柔并 济，洞察创新，支持创新，引导创新。 以下为演讲实录： 构建安全高效的智能金融生态 蒸汽机、电力和信息技术推动了人类历史上3次工业革命，AI技术创新也将引起经济模式变革。智能金 融创新正在重构金 ...

Core Insights - DeepSeek OCR is a notable OCR model but is considered overhyped compared to leading models in the field [1] - The model's performance in specific tasks, such as mathematical formula recognition and table structure identification, is subpar compared to smaller models like PaddleOCR-VL [2][5] - DeepSeek's approach to visual token compression is innovative, aiming to explore the boundaries of visual-text compression [14][15] Model Performance Comparison - DeepSeek OCR has a parameter size of 3 billion and achieves an accuracy of 86.46% with a compression ratio of 10-12 times, maintaining around 90% accuracy [10][14] - In contrast, PaddleOCR-VL, with only 0.9 billion parameters, outperforms DeepSeek in specific tasks [2][5] - Other models like MinerU2.5 and dots.ocr also show higher performance metrics in various tasks [2] Innovation and Research Direction - DeepSeek emphasizes a biological-inspired forgetting mechanism for compression, where recent context is kept high-resolution while older context is progressively blurred [12][11] - The research indicates that optical context compression is not only technically feasible but also biologically reasonable, providing a new perspective for long-context modeling [14][15] - The model's findings suggest a shift in focus from language-based models to visual-based models, potentially leading to breakthroughs in AI research [20][22] Industry Context - DeepSeek represents a unique case in the Chinese tech landscape, where it combines a romantic idealism for technology with practical applications, diverging from typical profit-driven models [6] - The company is seen as a rare entity that prioritizes exploration of advanced technologies over immediate commercial success [6] - The insights from DeepSeek's research could redefine how AI systems process information, moving towards a more visual-centric approach [20][21]

Investment Rating - The report rates the computer industry as "Overweight" indicating a positive outlook for the sector relative to the overall market performance [6][41]. Core Insights - DeepSeek OCR has introduced innovative optical context compression, achieving a compression ratio of less than 10 times while maintaining a decoding accuracy of 97% [6][10]. - Quantum computing is identified as a critical area of global technological competition, with significant investments and advancements occurring across various countries [17][22]. - Key companies such as Tonghuashun and iFlytek have reported better-than-expected earnings, indicating strong performance in the sector [32][34]. Summary by Sections DeepSeek OCR - DeepSeek OCR has launched a new model that addresses the computational challenges of processing long texts by using optical compression techniques [8]. - The model's architecture includes a DeepEncoder and a DeepSeek-3B-MoE decoder, which significantly enhance processing efficiency and reduce hardware requirements [12][15]. - The application of this technology is expected to impact various industries, including finance, healthcare, and education, by enabling efficient processing of extensive documents [16]. Quantum Computing - The report highlights the global race in quantum computing, with countries like the US and China making substantial investments to advance their capabilities [17][22]. - A table outlines various national investment plans in quantum technology, showcasing the competitive landscape [18]. - The report notes that while quantum computing is not yet commercially viable on a large scale, ongoing support and technological advancements present potential investment opportunities [31]. Key Company Updates - Tonghuashun reported a revenue of 3.26 billion yuan for the first three quarters of 2025, a year-on-year increase of 39.7%, with net profit rising by 85.3% [32]. - iFlytek's Q3 revenue reached 6.08 billion yuan, reflecting a 10.02% increase, while net profit surged by 202.4% [34]. - Both companies demonstrate strong cash flow and profitability, indicating robust operational performance and growth potential [33][34].

Investment Rating - The report rates the computer industry as "Overweight" indicating an expectation for the industry to outperform the overall market [46]. Core Insights - DeepSeek OCR has introduced innovative optical context compression, achieving a compression ratio of less than 10 times while maintaining an accuracy of 97% [6][10]. - Quantum computing is identified as a critical area of global technological competition, with significant investments and advancements occurring across various countries [19][20]. - Key companies such as Tonghuashun and iFlytek have reported better-than-expected earnings, indicating strong performance in the sector [35][38]. Summary by Sections DeepSeek OCR Insights - DeepSeek OCR's new model utilizes optical compression to address the computational challenges faced by LLMs in processing long texts [8]. - The model's architecture includes a DeepEncoder and a DeepSeek-3B-MoE decoder, which significantly enhances processing efficiency while reducing hardware requirements [12][16]. - The application of this technology is expected to have substantial implications across various sectors, including finance, healthcare, and education [18]. Quantum Computing Developments - The report highlights the global race in quantum computing, with countries like the US and China making strategic investments to enhance their capabilities [19][23]. - Various technological routes in quantum computing, such as superconducting and ion trap technologies, are advancing rapidly, with significant breakthroughs reported [26][28]. - The report outlines investment plans from multiple countries, showcasing a strong commitment to developing quantum technologies [20]. Key Company Updates - Tonghuashun reported a revenue of 3.26 billion yuan for the first three quarters of 2025, a year-on-year increase of 39.7%, with net profit rising by 85.3% [35]. - iFlytek's Q3 revenue reached 6.08 billion yuan, reflecting a 10.02% increase, while net profit surged by 202.4% [38]. - Both companies are positioned well for continued growth, supported by strong cash flow and market demand [37][39].

Deepseek just did it again. They just dropped a new paper and model DeepSseek OCR. OCR is basically image recognition.But why is that a big deal. Image recognition has been around forever, right. Well, they discovered something completely novel that has the potential to make language models, textbased models so much more powerful.Let me show you. This is the new paper from Deep Seek. Now, like I said, image recognition has been around for a long time.It's nothing special. We've seen it. It's been done a mil ...

Core Viewpoint - DeepSeek-OCR is a new AI model that processes text in images by treating text as visual data, achieving a compression of 10 times while maintaining a recognition accuracy of 96.5% [7][11]. Group 1: Model Performance and Innovation - DeepSeek-OCR can compress a 1000-word article into just 100 visual tokens, showcasing its efficiency [7]. - The model offers multiple resolution options, requiring as few as 64 tokens for a 512 x 512 image and 256 tokens for a 1024 x 1024 image [13]. - The approach of using visual tokens for text recognition is not entirely novel but represents a significant step in productization and application [13][14]. Group 2: Industry Reactions and Future Directions - Notable figures in the AI community, such as Karpathy, have expressed interest in the model, suggesting that future large language models (LLMs) might benefit from image-based inputs instead of traditional text [11][15]. - The potential for DeepSeek-OCR to enhance the processing of mixed media (text, images, tables) in various applications is highlighted, as current visual models struggle with such tasks [15]. - The idea of simulating a forgetting mechanism through resolution adjustments is intriguing but raises questions about its applicability in digital systems compared to human cognition [15].