近期，国内开源大模型领域迎来了一波显著的发展浪潮，引发了业界的广泛关注。 在最新的技术动态中，新一代大语言模型（LLM）的更新让开源大模型再次站在了聚光灯下。值得注意的是，一位名为Rohan Paul的软件工程师兼自媒体 人在探索过程中发现了一个引人注目的现象：在Design Arena这一全球知名的众包AI生成设计Benchmark平台上，排名前列的开源AI模型几乎全部来自中 国。 | ට | DeepSeek-V3.1 | 1258 134W / 96L | 58.3% I | ±6.4% | 230 | DeepSeek | 46.85 | | --- | --- | --- | --- | --- | --- | --- | --- | | 10 | 19 Qwen3 Coder 30B A3B Instruct | 1258 1897 / 3505 | 58.3% | +3.3% | 839 | Alibaba | 35.55 | | 11 | GLM 4 32B | 1237 207W / 167L | 55.3% | ±5.0% | 374 | THUDM | 3m 21s | | 12 | K ...

Core Insights - The financial sector is undergoing a paradigm shift driven by artificial intelligence (AI), comparable to the impact of the steam engine on the industrial era [3] - AI applications in finance are on the verge of explosion, with the global fintech market projected to reach approximately $18.78 billion in 2024 and $122.7 billion by 2033, reflecting a compound annual growth rate (CAGR) of about 19.9% from 2025 to 2033 [1] Group 1: AI in Financial Applications - AI is increasingly integrated into financial decision-making processes, evolving from basic functions to becoming a core engine for trading decisions [3][11] - Major financial institutions are actively implementing large models and integrating them with existing AI platforms to enhance their operational capabilities [4][5] - The DFAI global investment tool, developed by Dimensional Fund Advisors, exemplifies advanced AI capabilities in financial decision-making, achieving high trading accuracy and efficiency [6][8] Group 2: Market Trends and Adoption - The adoption of AI tools like DFAI is accelerating among major financial firms, with significant deployments occurring within a month of its release in China [3][11] - AI technologies are being utilized across various financial sectors, including securities brokerage, asset management, and trading platforms, with notable applications in customer communication, algorithmic trading, and fraud detection [11][12][13] - The global capital flow is experiencing structural changes, with a projected 11% growth in cross-border direct investment in 2024, highlighting the increasing demand for global capital allocation [16] Group 3: Technological Integration and Future Outlook - The integration of AI with blockchain technology is anticipated to reshape the next generation of financial infrastructure, enhancing transaction efficiency and reducing delays [16][18] - DFAI's model combines vast datasets, including geopolitical and social media sentiment, to provide reliable decision-making support in real-time [17] - The global reach of DFAI's investment tools is expanding, with plans to cover over 100 global stock exchanges and various cryptocurrency markets by 2026, facilitating broader participation in financial markets [18]

特朗普政府的新规大框架既不符合技术逻辑，也在破坏市场规则，细则未出的情况下，中国产业界其实已经具备极限 思维 文｜《财经》研究员 吴俊宇 编辑｜谢丽容 美国东部时间5月13日，美国商务部宣布撤掉拜登政府遗留的《人工智能扩散暂行最终规则》（Interim Final Rule on Artificial Intelligence Diffusion，下称"最终规则"），并同时宣布采取额外措施加强全球芯片出口管制。 "最终规则"在拜登政府卸任前最后一周的2025年1月13日出台，原计划5月15日执行。曾有多位中国科技企业人士对 《财经》表示，一旦通过，这将是有史以来最严格的出口管制规则（文章详见）。 "最终规则"被认为是覆盖全球市场的AI芯片出口管制。因为其中最突出的一项内容是，把全球市场划分为三个等级。 英国、法国、日本、中国台湾地区等18个盟友和合作伙伴属于第一等级，AI芯片采购不受限制；新加坡、以色列、墨 西哥、巴西等其他120多个国家或地区是第二等级，AI芯片采购受限制，甚至每个季度都严格规定了采购量；中国、 俄罗斯、伊朗、朝鲜属于第三等级，无法获得先进AI芯片。 美国商务部工业安全局主导了先进AI芯片的 ...

在建行官网上，该行境内23家一级分行2300多人的招聘计划中，科技类专项人才同样是各分行的"香饽 饽"，主要从事数据挖掘分析、大数据营销、技术研发、系统运营维护等相关工作，报名截止时间为4月 3日。 "DeepSeek风"刮进银行校园招聘计划 对此，相关业内人士分析认为，商业银行拥有大量用户群体，积累了海量数据，是AI大模型应用的优 质场景。随着数字化转型推进，商业银行正加速DeepSeek系列模型本地化部署工作。在这场愈演愈烈 的"含D量"比拼中，商业银行对人才的需求尤其是对科技复合型人才的需求将持续扩大。 南报网讯（记者 曹丽珍） 随着"金三银四"传统人才招聘旺季的到来，多家国有银行近日陆续发布新一 年度的春季校园招聘计划。记者采访发现，随着开源AI大模型DeepSeek展现出日益广阔的应用场景， 科技岗位人才愈发吃香。 知名经济学家宋清辉也表示，DeepSeek正在给金融机构带来显著变化，并将深刻改变行业生态。"可以 预见，能够熟练掌握智能工具的新兴技术岗位，在金融机构将显著增长。例如，不久的将来，金融机构 需要大量既懂金融又懂AI的复合型人才，负责训练信贷评估模型、反欺诈算法以及运用GNNs（图神经 ...