从ChatGPT到DeepSeek,技术的快速发展推动了AI的应用落地,也催生出了各行业关于AI应用的诸多想象, 尤其是Manus、AutoGLM沉思等AI智能体的出现,也推动了AI进一步走进企业现实业务场景。 现在,AI已经不再是科技巨头的专属工具,而是所有企业都可以拿来应用,用来推动业务升级,降本增效突 围增长的好助手。 但现在,企业在应用AI时也面临一些共性问题:想应用AI但没资源、少经验,不知道如何用好AI。企业管理 者们既担心被技术浪潮甩下,又担心盲目部署耗费大量人力物力成本,但最后不适配企业业务,造成资源浪 费。 其实,企业想要借助AI赋能现实业务场景,首先需要梳理出当前企业的业务场景中,核心痛点是什么。比 如,在企业的获客-转化-运营-服务环节中,人力成本重、业务效率低的问题其实十分显著。 因此,在大多数企业的组织架构中,销售往往都是人数最多、规模占比最高的部门, 也需要企业进行大量业 务培训和动作督导,监督销售及时完成线索清洗和意向客户跟进工作,确保线索不被浪费。 现在,通过尘锋AI智能体,企业完全可以替代掉低效率的人工销售,由AI完成线索清洗和沉默客户激活任 务,AI甚至可以比人工销售执行得 ...

据了解，我国自主研发的"北脑一号"第3例人体植入手术20日在天坛医院成功完成，此前在 北大第一医院、首都医科大学宣武医院分别进行了临床试验。目前，3例患者状态良好。这 意味着我国自研无线皮层脑机接口植入人脑实现新突破。 值得一提的是，就在这一突破性手术的八天前，3月12日，国家医保局发布《神经系统医疗 服务价格项目立项指南》，其中专门为脑机接口新技术价格单独立项，设立了"侵入式脑机 接口植入费""侵入式脑机接口取出费"等价格项目，各地对接落实立项指南后，脑机接口医 疗收费将有规可依。 这意味着，一旦脑机接口技术成熟，快速进入临床应用的服务收费路径已经铺好。 政策上已经给脑机接口铺好了路，那么，从技术上看，脑机接口真的准备好了吗？ 前不久，医疗行业迎来一个新消息。 据悉，半侵入式脑机接口"北脑一号"成功帮助因渐冻症导致失语的患者重建交流能力。临床 实践显示，其单字解码时延小于100毫秒，处于领先水平。 01 从科幻走到现实 《黑客帝国》中，主人公通过脑机接口与矩阵系统连接，穿梭于现实与虚拟世界；《攻壳机动队》中， 脑机接口成为人与机器重要的连接桥梁……这些科幻场景都涉及一项前沿技术——脑机接口。 脑机接口早已不 ...

Group 1: Industry Trends - DeepSeek has surpassed ChatGPT in monthly website visits, reaching 525 million visits by February 2025, while ChatGPT is projected to reach 500 million [2] - OpenAI completed a significant private financing round of $40 billion, raising its valuation to $300 billion, marking one of the largest private funding rounds in history [3] - Beijing continues to lead in the number of unicorn companies, with 115 unicorns and a total valuation exceeding $1.5 trillion, accounting for nearly 30% of global unicorns [4] Group 2: Company Developments - Lenovo's CEO announced the company's fifth entrepreneurial phase, aiming for double-digit revenue growth across all business groups and a focus on hybrid AI [2] - Huawei reported a global sales revenue of 862.1 billion yuan and a net profit of 62.6 billion yuan for 2024, with R&D investment reaching 179.7 billion yuan, approximately 20.8% of total revenue [7] - Fourth Paradigm achieved a revenue of 5.261 billion yuan in 2024, a year-on-year increase of 25.1%, with a gross profit margin of 42.7% [7] Group 3: Financing and Market Activities - Qianxun Intelligent completed a Pre-A round financing of 528 million yuan, led by Prosperity7 Ventures, to accelerate the development of embodied AI models [8] - Lens Technology submitted a listing application to the Hong Kong Stock Exchange, with CITIC Securities as the sole sponsor [8] - Sairis plans to list on the Hong Kong main board, aiming to enhance its global strategy and competitiveness [8] Group 4: Product Innovations - Apple is set to launch the M5 chip for iPad Pro and MacBook Pro later this year, with the M6 version in development for a 2027 release [6] - Baidu released an end-to-end speech language model that reduces costs by up to 90% compared to industry averages, enhancing its capabilities in voice Q&A scenarios [10]

本报讯 记者吕丽报道 "原来完成一个工单平均需要6分钟，现在只要3.5分钟，效率提高了，能集中精力 更好提升服务质量。"记者3月31日获悉，大连市数据局与中国移动大连分公司合作，在全省率先将 DeepSeek大模型引入12345热线平台应用场景，实现服务质量、效率双提升。 责编：杨金凤 审核：徐晓敬 此次12345热线平台升级了智能助手、智能知识库、智能质检三大智能化应用场景，政务服务体验更加 精准、高效、便捷。大连移动相关负责人介绍，12345热线平台借助DeepSeek专有模型能力，在话务端 上线"一键填单"功能，通话过程中，系统自动识别语音信息，直接转化成文字，自动填写工单内容、推 荐承办单位，通话结束后仅点击一个按键就能完成工单；通过DeepSeek实现智能知识库升级，在通话 服务时可根据通话内容实时推送解答话术，大幅提升咨询类问题处理效率和准确性，显著提高诉求直接 答复率。在质检端借助DeepSeek大模型能力实现话务工单由人工抽检到自动质检的模式突破，已实现 工单100%质检。同时增加对话务员响应速度、语言规范性、业务能力多维度评估功能，为整体服务质 量评估、分析提供数据支撑，后续将结合专项培训， ...

对此，中国科学院院士、零一学院创始院长郑泉水表示，"今天睿思芯科发布中国首个全自研RISC-V服 务器CPU，具有特殊的意义。这不仅是一项技术突破，更是一个从源头创新到产业落地的典范。" （图片来源：unsplash） 4月1日消息，钛媒体AGI获悉，RISC-V领先厂商睿思芯科近日在深圳推出灵羽CPU处理器产品。 公司称，这是中国首款全自研高性能RISC-V架构的服务器芯片，从而满足高性能计算、全闪存储与 DeepSeek等开源大语言模型的应用场景。 睿思芯科创始人、董事长兼CEO谭章熹博士表示，灵羽处理器基于睿思芯科全自研的CPU核心IP与片上 网络IP，采用"一芯双核"的设计架构，由32个高性能通用计算核心（CPU）与8个智算专用核心 （LPU）组成，专为DeepSeek等开源大语言模型推理等任务优化，同时通过软硬件结合等技术实现创 新，显著提升运算中能效比以及优化总体拥有成本（TCO）。 睿思芯科称，灵羽处理器计算性能已比肩Intel、AMD等国际主流型号的服务器芯片。 生态方面，目前，灵羽处理器生态体系已拥有超过50家合作伙伴，涵盖关键器件厂商、整机OEM、系 统软件与行业解决方案，包括联想、商汤、 ...

Core Insights - OpenAI CEO Sam Altman announced the upcoming release of a powerful open-weight language model with reasoning capabilities, marking the first such release since GPT-2 [1] - The decision to release this model comes after a long period of consideration, with previous priorities delaying its launch [10] Group 1: Open Weight Model - Open weight refers to publicly available training parameters of AI models, allowing users to modify and redistribute them [2] - This approach is seen as a middle ground between fully closed and fully open-source models, extending the open-source concept into the AI field [2] Group 2: Safety and Evaluation - OpenAI will evaluate the model using a "preparation framework" to ensure safety and reliability before its release [3] - Additional testing and optimization will be conducted due to the potential for modifications post-release [3][4] Group 3: Developer Engagement - OpenAI plans to host a series of developer events to gather feedback and showcase early prototypes, starting in San Francisco and expanding to Europe and Asia-Pacific [3] - Developers interested in participating can sign up through a provided link [3] Group 4: Community Reactions - There is significant interest in the model, with discussions in the comments highlighting the popularity of the OpenAI o1 mini and references to other models like DeepSeek [5][6] - Some community members express skepticism regarding the timeline for the release of GPT-5, which was also mentioned to be coming in "the next few months" [7] Group 5: User Growth and Competition - OpenAI experienced a surge of 1 million new users in five days due to the multimodal image generation capabilities of GPT-4o, leading to increased demand on their GPU resources [8] - Altman acknowledged the competitive landscape, particularly with DeepSeek, and reflected on the lessons learned regarding the importance of open features for viral growth [9]

Group 1 - The emergence of the Chinese startup DeepSeek, which offers high-performance and low-cost generative AI models, has surprised the world and raised expectations for similar companies in Japan [1][2] - The success of DeepSeek is attributed to China's reform and opening-up policies, which have fostered a competitive environment where young people are driven to develop technology and start businesses [1] - In contrast, Japan's comfortable lifestyle and reduced competition have led to fewer ambitious young entrepreneurs, contributing to the lack of similar startups like DeepSeek [1] Group 2 - Japan lags behind China in terms of the number of entrepreneurs and funding in the startup sector, with a lack of growth observed over the past 30 years due to various reasons [2] - The absence of acceptance for new innovations in Japanese society is highlighted, suggesting that there are innovative seeds that could thrive if the environment were more conducive [2] - To create companies like DeepSeek, it is essential for both private and government sectors in Japan to promote the latest technologies and information to raise public awareness [2]

Core Insights - DeepSeek has become the fastest-growing AI tool globally, surpassing OpenAI's ChatGPT in monthly website visits, reaching 525 million visits in February 2025 compared to ChatGPT's 500 million [1] - DeepSeek's market share has increased from 2.34% to 6.58%, making it the third-largest player in the AI tools market, following ChatGPT and Canva [2] - The launch of DeepSeek's open-source reasoning model, DeepSeek-R1, has significantly impacted the global AI industry landscape, leading to a shift in capital markets [1][2] Market Performance - DeepSeek's chatbot has a total visit count of 792.6 million and 136.5 million unique users, capturing 12.12% of the chatbot market, ranking second [2] - The total visits to AI tools globally reached 12.05 billion in February, with 3.06 billion unique visitors interacting with various AI tools [2] - Following the release of the DeepSeek R1 model, user growth surged by 125 million in January, with over 80% of new users joining in the last week of that month [2] Technological Advancements - The recent release of DeepSeek-V3, with 685 billion parameters, has significantly improved its capabilities in coding, mathematics, and reasoning, rivaling top models like Anthropic's Claude 3.7 [4] - DeepSeek's open-source model allows for widespread accessibility and usage, contrasting with commercial models that charge fees [5] - The performance leap in DeepSeek-V3 suggests potential for future major updates, indicating ongoing innovation within the company [4][5] Industry Impact - DeepSeek's rapid rise is reshaping the AI industry, indicating a more competitive landscape ahead [3] - The introduction of open-source models by DeepSeek is expected to trigger a wave of similar developments in China, raising concerns about the technological gap between the US and China [5] - The efficiency and cost-effectiveness of DeepSeek's models position it as a strong competitor in the AI market, potentially marking 2025 as a pivotal year in US-China AI competition [5][6]

Core Viewpoint - The restaurant industry is experiencing a significant transformation driven by artificial intelligence (AI), enhancing customer experience and operational efficiency, marking a shift from labor-intensive to high-efficiency models [1][6][8]. Group 1: AI Integration in Restaurants - AI technologies, such as robotic waiters and smart inspection systems, are being integrated into various aspects of restaurant operations, improving service delivery and management efficiency [2][4][6]. - The introduction of AI tools has led to a 30% increase in inspection efficiency for restaurant management, showcasing the potential of AI in enhancing operational workflows [4][5]. Group 2: Customer Experience Enhancement - The deployment of AI, such as the robot dog at Hu Da Restaurant, not only addresses labor shortages but also provides an engaging experience for customers, transforming waiting times into enjoyable interactions [2][3]. - The focus on emotional value through innovative AI applications is reshaping brand image and customer engagement strategies in the restaurant sector [3][5]. Group 3: Future Trends in the Industry - The restaurant industry is transitioning towards a more digital and intelligent future, with AI expected to play a crucial role in supply chain management, food safety, and personalized customer experiences [8]. - The ongoing evolution of AI applications indicates that the restaurant sector is moving from the development phase to a more mature stage, with significant potential for further advancements [7][8].

Group 1 - The core concept of AI Agents is that they are intelligent entities capable of perceiving their environment, making decisions, and executing actions, built on large language models (LLMs) with multi-modal interaction and autonomous execution capabilities [1][12][19] - DeepSeek and other reasoning models enhance the reasoning, decision-making, planning, execution, and tool-calling abilities of AI Agents, promoting multi-modal and personalized interactions while supporting localized deployment for data privacy [1][28][31] - The current state of the AI Agent industry shows a strong inclination towards B-end applications, with high adoption rates among medium-sized enterprises and diverse C-end applications across various sectors such as healthcare, human resources, and retail [2][4][5] Group 2 - Manus, a general AI agent, consists of a multi-agent collaborative architecture and a dynamic task scheduling engine, enabling full-chain autonomous execution of tasks across multiple fields, while also presenting ethical and governance challenges [2][34] - AI Agents impact business operations by optimizing processes, assisting in decision-making, and driving innovation, with deployment models including direct use, client API calls, and localized private deployment [2][5][6] - The emergence of high-quality reasoning models like DeepSeek positions China as a potential leader in the global AI Agent market, shifting from being a rule-taker to a co-governor in AI standards [28][32][34]