数秦科技俞学劢：分布式可信数据空间为数字金融 与产业升级破局 3月21日，2025未来数商大会在杭州未来科技城学术交流中心举行。大会重点聚焦场景，深入解读数据 要素热点话题，分享数据要素应用的实践经验，搭建开放合作平台，吸引近千名专业观众参与。会上， 数秦科技 CEO 俞学劢受邀发表了题为《分布式可信数据空间——建立信任与价值的链接》的演讲。他 围绕当下数字金融的困境与机遇，深入剖析了分布式可信数据空间的创新实践及深远意义，为行业发展 提供了新思路。 数字金融困局：虚拟资产乱象与传统金融难题并存 俞学劢开场便以虚拟资产市场的疯狂现象为引，2021 年 4 月 15 日，马斯克一条推特配图让狗狗币 24 小时涨 2.5 倍，这种无上限的虚拟资产因名人背书一路飙升。这样的现象在2025年也屡见不鲜，这些毫 无实际价值的虚拟资产疯狂攀升，随后又相继崩盘，97% 的 meme 币不到一年归零。 虚拟资产市场投机盛行，新入场者渴望以小搏大，导致市场空心化。与此同时，传统金融机构虽然也推 出了数字货币 ETF，但仍缺乏新资金流入，流动性枯竭。 俞学劢表示，在传统金融领域，中小微企业融资难题长期存在。从 2017 年到 2 ...

Core Insights - The CEO of Zero One Technology, Kai-Fu Lee, stated that the gap between China and the U.S. in AI development has narrowed to just three months in certain areas due to advancements by companies like DeepSeek [3] - Lee emphasized that the rise of DeepSeek indicates China's leading position in infrastructure and software engineering [3] - He noted that U.S. semiconductor sanctions act as a "double-edged sword," presenting challenges but also driving innovation within Chinese companies [3] Company Developments - Zero One Technology is focusing on practical AI applications, specifically software solutions that help clients better deploy foundational models [4] - The company recently launched an all-in-one AI work platform called "Wanzhi," aimed at assisting enterprises in deploying AI technology [4] - Zero One Technology has begun generating revenue and anticipates significant growth in income, projecting to reach several times last year's revenue of $15 million by 2025 [4]

诺安基金邓心怡：中国科技发展正处"战略赶 超"与"自主创新"并行阶段 "科技每一次技术变革都不会是孤岛式的，而是体系化的，通过体系化的科技变革，将启发新的经 济范式革新。"诺安基金研究部总经理邓心怡在做客央视财经《财访》栏目时如是说。 她进一步指出，AI作为下一轮科技长周期的核心引擎，或将引领未来十年的科技发展，开源在此 进程中扮演着"加速器"角色。这一背景下，中国或从"科技跟跑者"转变为"创新引领者"。 AI开源浪潮下，中国有望从"跟随"到"引领" 蛇年春节前后，DeepSeek V3和R1模型的发布与开源震撼了全球，快速吸引了世界各地开发者共同 优化模型、适配场景。邓心怡就此表示，开源在计算机互联网和移动互联网时期，都大幅推动了技术扩 散和进步，其核心意义在于通过开放协作，促进技术创新与知识共享，当前AI正在重构"智能"的供给方 式，开源生态在这一进程中扮演着"加速器"角色。 复盘前瞻关注到DeepSeek的经历，邓心怡表示，有关论文清楚地展现了DeepSeek的研究过程、理 论体系和成果迭代，这一国产大模型的横空出世不仅展现出其在AI领域的硬实力，更体现了国内科技 产业扎实的研究基础和研究能力。 与此同 ...

Core Insights - The report highlights the resilience of China's economy and key industries under U.S. sanctions, using DeepSeek as a case study to illustrate innovation and growth potential in the face of geopolitical challenges [3]. Economic Outlook - The "Asian Economic Outlook and Integration Process 2025 Report" predicts a moderate recovery in Asian economies, with growth expected to rise to 4.5% in 2025 from 4.4% in 2024. The GDP share of Asian economies in the world is projected to increase from 48.1% in 2024 to 48.6% in 2025 [2]. - Excluding China, the weighted actual GDP growth rate for other East Asian economies is expected to decline by 1.0 percentage points to 3.3% in 2025, while the growth rate for other Asian economies is projected to decrease by 0.3 percentage points to 4.2% [2]. Trade and Investment Challenges - Ongoing trade tensions, particularly with the U.S. imposing tariffs on goods from Mexico, Canada, and China, are expected to create significant uncertainty for global trade and investment in 2025 [2]. - The report emphasizes that these trade frictions will put overall pressure on trade and investment in Asia [2]. E-commerce and Digital Trade - E-commerce and digital trade are highlighted as key growth areas, with the Asia-Pacific region's retail e-commerce growth expected to reach 8.4% in 2024. China's cross-border e-commerce import and export total is projected at 2.63 trillion yuan (approximately 369 billion USD), reflecting a year-on-year growth of 10.8% [4]. - Southeast Asia's e-commerce sector is also experiencing significant growth, with a gross merchandise value (GMV) of 263 billion USD, up 15% year-on-year [4]. - However, compliance risks related to cross-border e-commerce are noted, particularly due to changes in U.S. customs policies and new regulations from the EU regarding low-value goods [4]. Employment Trends - The employment growth rate in Asia is expected to decline significantly from 1.94% in 2024 to 1.22% in 2025, which is lower than the global growth rate of 1.28% [6]. - Despite this decline, the overall unemployment rate in Asia is projected to slightly decrease from 4.40% in 2024 to 4.39% in 2025, remaining below the global rate of 4.96% [6]. - The impact of artificial intelligence on employment is highlighted, with varying effects across regions and genders. The highest impact is expected in Northern, Southern, and Western Europe, while East Asia shows the highest proportion of affected employment in Asia [6][8].

Investment Rating - The report suggests a positive outlook for investment in China's AI sector, particularly highlighting the emergence of DeepSeek as a significant milestone in the industry [1][3]. Core Insights - DeepSeek's development represents China's ambition to lead in the tech revolution, potentially inspiring a new generation of talent and contributing to national pride [1][7]. - The cost-effective training of DeepSeek, reportedly under $6 million, challenges the narrative that China lags behind the U.S. in AI innovation, as it achieves near-parity with top models [2][3]. - The MSCI China Index surged 26% following DeepSeek's unveiling, indicating strong investor enthusiasm for AI-driven economic growth [3]. Summary by Sections DeepSeek's Impact - DeepSeek's breakthrough is seen as a symbol of China's resurgence in innovation and competitiveness, with implications for emerging market investors [1][14]. - The emergence of other AI agents, such as Butterfly Effect's Manus, further illustrates the competitive landscape in China's AI sector [4][5]. Policy and Market Dynamics - A shift in policy from regulatory crackdowns to support for private-sector innovation is noted, with high-level meetings between political leaders and tech executives [8]. - China's AI ecosystem is positioned as a unique opportunity for investors, focusing on consumer-facing applications rather than hardware [9]. Future of AI Development - The report outlines a dual-track future for AI, contrasting China's efficiency-driven approach with the capital-intensive models in the U.S. [13][14]. - Both models are expected to coexist, providing a diversified opportunity set for emerging market investors [14].

Core Viewpoint - DeepSeek has released the latest update of its V3 model, named V3-0324, which optimizes performance, user experience, and practicality while maintaining the original technical framework [1]. Group 1: Model Performance - The V3-0324 model has 685 billion parameters, a slight increase from the previous version's 671 billion [1]. - User tests indicate improved performance in generating complex code, solving mathematical problems, and front-end design tasks, with notable enhancements in front-end coding capabilities [2]. - Users have compared the performance improvement of V3-0324 to the upgrade from Sonnet 3.5 to Sonnet 3.6, highlighting its ability to create sophisticated websites with minimal input [2]. Group 2: User Interaction - The new model has disabled the "deep thinking" mode by default, resulting in faster response times suitable for rapid iteration tasks [2]. - The model's natural language processing capabilities have improved, with better context understanding and more human-like responses, reducing mechanical replies [3]. Group 3: Open Source Licensing - V3-0324 continues DeepSeek's open-source tradition, now under the more permissive MIT license, allowing researchers and developers to freely download, modify, and deploy the model [3]. - The updated licensing conditions are expected to attract global developers' attention, despite this upgrade not being the anticipated V4 or R2 version [3]. Group 4: Market Expectations - Analysts suggest that the release timing and features of V3-0324 may indicate it will serve as the foundational model for the upcoming DeepSeek-R2 [3]. - There are market speculations about the early release of DeepSeek-R2, although the official details and release date remain unconfirmed, with expectations set for May [3].

以下文章来源于CSDN ，作者万有引力 CSDN . 成就一亿技术人 作者 | 万有引力 出品 | CSDN（ID：CSDNnews） 在过去短短的几周里，大模型赛道的信息密度飙升至前所未有的高度。DeepSeek 连续 五天开源 ，直接引发了一场复现热潮；阿里巴巴通义实验室、 腾讯相继推出面向视觉文档的 RAG 系统 ViDoRAG、新一代混元快思考模型 Turbo S ，加速了大模型的演进步伐；马斯克用 20 万张 GPU 训练出的 Grok 3 ，超越了许多业界标杆，再次验证了"大力出奇迹"的定律； Claude 3.7 Sonnet 迎来编码能力大升级，AI 编程的技术平权时代正在加速到来； DeepSeek 论文与 Kimi"撞车"，越来越多公司开始布局稀疏注意力与线性注意力机制，这些技术正成为 Transformer 之后的关键探索方向；此外， Manus 模式的"虚拟机"概 念迅速走红，正在重塑大模型的运行方式... 在这场眼花缭乱的技术竞赛背后，真正值得我们关注的是什么？DeepSeek 的五连发 究竟意欲何为？在 545% 的成本利润率之下，其他大模型公司是 否也能找到盈利空间？面对行业变 ...

Core Viewpoint - The article discusses the significant upgrades in the DeepSeek V3-0324 model, which, despite being labeled as a "minor version upgrade," shows substantial improvements in performance metrics compared to its predecessor and other models in the market [2][6][9]. Summary by Sections Model Performance - DeepSeek V3-0324 has demonstrated a considerable jump in all metrics during internal benchmarking, now being recognized as the best non-reasoning model, surpassing Sonnet 3.5 [6][9]. - The model achieved a perfect score in coding tests, indicating high consistency and reliability in performance [11]. Problem-Solving Capabilities - The model exhibits a unique ability to re-evaluate problems when it encounters difficulties, showcasing a form of autonomous thinking [12][13]. - An example problem involving a 7-meter long cane passing through a 2-meter high and 1-meter wide door illustrates the model's capacity to rethink and approach problems from different angles, leading to a correct solution despite initial misunderstandings [18][22]. Accessibility and Open Source - DeepSeek V3-0324 remains free and open-source, with its weight files available on HuggingFace under a permissive MIT license, maintaining the same storage requirements as its predecessor [28][29]. - The model can be accessed through various platforms, including the official website and HuggingFace, allowing users to experience its capabilities firsthand [30][32].

Core Insights - China is experiencing a significant shift towards open-source AI models, which is enhancing AI adoption and innovation, likened to an 'Android moment' for the sector [1][22] Open-Source AI Models - The open-source movement is led by AI startup DeepSeek, whose R1 model has challenged American tech dominance and raised questions about the spending of Big Tech on large language models [2][3] - DeepSeek's R1 model is distributed under an 'MIT License', allowing unrestricted use, modification, and distribution, which is seen as a catalyst for the adoption of open-source AI models in China [8][15] - Major Chinese tech companies like Baidu, Alibaba, and Tencent are increasingly offering their AI models for free and moving towards open-source strategies [12][20] Baidu's Strategy - Baidu has released its latest AI model, Ernie 4.5, and plans to make it open-source by the end of June, marking a strategic shift from its previous proprietary model [4][5] - This move is indicative of a broader trend in China, where companies are compelled to adopt open-source models to remain competitive against disruptors like DeepSeek [15][20] Competitive Landscape - The emergence of DeepSeek has pressured other Chinese competitors to adopt open-source business models, as they cannot charge for similar offerings that are available for free [15][21] - OpenAI and other U.S. companies continue to operate under a proprietary model, raising questions about their pricing strategies in light of the competitive open-source landscape [16][20] Market Dynamics - The open-source trend is expected to drive down costs and foster innovation, with Chinese companies historically excelling in product innovation [21][22] - Experts suggest that the rapid adoption of open-source models in China could narrow the technological gap with the U.S., previously estimated at 12 to 24 months [22][23]

Core Viewpoint - The tech-heavy Nasdaq Composite has declined over 8% this year, prompting investors to seek opportunities, particularly in popular stocks like Nvidia and Tesla, which have seen significant price drops [1][2]. Group 1: Tesla - Tesla's stock has dropped 38% this year, influenced by broader market sell-offs and concerns regarding first-quarter deliveries [2][3]. - The stock is viewed as a battleground, with analysts divided on its valuation and future prospects; it trades at approximately 86 times forward earnings, with expected earnings growth of 17% [4]. - Among 36 analysts, 12 recommend buying Tesla, 13 suggest holding, and 11 advise selling, with an average price target indicating a potential upside of 41% [4]. - Concerns have been raised about CEO Elon Musk's political involvement and its potential negative impact on Tesla's sales [5]. - Investors are closely monitoring Tesla's first-quarter earnings, as high valuations could lead to significant stock price volatility based on performance [6]. Group 2: Nvidia - Nvidia is widely regarded as a strong buy, with 39 out of 42 analysts recommending the stock, suggesting nearly 50% upside potential [7]. - The emergence of a Chinese start-up, DeepSeek, which developed a chatbot using older Nvidia chips, raised questions about the necessity of Nvidia's technology in the AI sector [8]. - Despite these concerns, Nvidia's CEO Jensen Huang remains optimistic, asserting that increased data demand will enhance the need for Nvidia's products [9]. - Nvidia's stock now trades at 26 times forward earnings, down from previous peaks above 50, with analysts projecting earnings growth of about 48% for fiscal year 2026 [10].