当前，人工智能技术正加速渗透各行业领域，成为驱动产业变革的核心力量。中贝通信顺势而为，精准 把握行业趋势，发起设立中贝AI产业园，以"产业生态聚合器"为核心定位，涵盖技术研发、场景应用、 企业集聚、配套服务的综合性产业空间；以孵化中心作为核心功能板块，聚焦AI领域初创企业与创新 项目的培育孵化，为企业提供从种子期到成长期的全链条赋能支持，旨在构建"孵化培育—产业落地— 生态协同"的完整产业发展闭环。产业园立足武汉、辐射华中、联动全国，致力于成为国内领先的"AI产 业聚集地"。 1月6日晚，由中贝通信(603220)旗下拾贝启源联合产业、科研与资本力量共同发起设立的中贝AI产业园 暨拾贝启源人工智能孵化中心正式亮相。中贝通信董事长李六兵在启用仪式上表示，公司将全力赋能 AI全链条发展，打造华中地区产业新高地。 产业园计划到2028年孵化超50家AI企业，形成总估值超百亿元的产业集群，带动上千个高质量就业岗 位，将成为区域人工智能产业发展的"增长极"、科技创新的"策源地"、人才集聚的"强磁场"。孵化中心 负责人表示，将坚持开放协同共赢理念，为创业者提供优质平台，携手把握AI时代机遇，共创行业解 决方案。 中贝AI ...

都2026了，你还在为写提示词掉头发吗？ 我知道，大伙儿不管上班的上学的早就离不开 AI 了，但我的评价是，最折磨人的，还得是用 AI 的前戏，因为 AI 是很难一句话，就听懂你想要什么的。 得把一大坨一大坨的提示词搬来搬去，把背景需求格式交代一遍，还得把各种陈年老文件喂给AI，看着他学。 结果还没开始，AI 就顶不住了，聊天框又得remake了。 然而最近，世超发现个新项目，只能说巨火，各大 AI 社区都在讨论这玩意，甚至有说法是比提示词用着爽。 这次，他们又搓了个 Skills 回来了，看架势好像又想引领新潮流了。。别的不说，隔壁 OpenAI 反正好像已经开始抄作业了。 这玩意叫 Agent Skills ，是由 Claude 母公司 Anthropic 搞出来的。 经常看咱文章的差友可能有印象，这公司之前搞了个 MCP 协议，直接把 AI 抄家伙干活的难度打了下来，后来谷歌和 OpenAI 这种巨头全跟进了。 这玩意的作用，顾名思义，AI 现在可以像宝可梦一样，学会任意新技能了。 我们就拿 Skills 的亲兄弟 Claude 来演示下。 首先你得在设置里，找到 Skills 的开关把它打开。 然后你 ...

Core Insights - The main challenge for companies in adopting AI is not the technology itself but the speed of decision-making by leaders, with only 1% of companies achieving "mature deployment" of AI despite 92% planning to invest more in it [2][3][32] - AI's integration into businesses requires a transformation in internal capabilities, including strategic choices, organizational collaboration, data and processes, governance, and risk control [4][32] Group 1: AI Infrastructure and Deployment - The future of AI opportunities lies in two layers of infrastructure: AI Infra (computational power) and Agent Infra (intelligent agent infrastructure), which are essential for scaling AI applications [8][9] - Companies need to connect models, computational power, data, tools, and processes to succeed in the AI landscape [9] - AI deployment in enterprises requires building a knowledge base, creating digital employees, and optimizing workflows to fundamentally reshape work processes [13][28] Group 2: AI as a Collaborator - The perception of AI as a collaborator rather than just a tool is crucial for its effective use, as it combines the advantages of both human and programmatic capabilities [14] - Understanding AI's role and capabilities can help organizations leverage its strengths while managing its limitations [14] Group 3: Real-World Applications and Case Studies - Companies like Meitu and DJI exemplify a growth strategy focused on leveraging core technological capabilities rather than merely expanding product lines [15][16] - AI's true value in industries lies in its ability to eliminate uncertainties in production and R&D processes, enhancing efficiency and quality [28] - The shift from general models to specific intelligent agents tailored to business needs is essential for practical AI applications in enterprises [22][24] Group 4: Organizational Capability and Transformation - Successful AI integration requires organizations to develop the ability to manage data and operate intelligent agents, rather than relying solely on AI experts [24][25] - The focus should be on embedding AI into the organizational framework to ensure it becomes a part of the operational capabilities [32][34] - The current period presents an optimal opportunity for companies to transform AI into a growth logic and organizational productivity [35]

Authored by Conor Gallagher via NakedCapitalism.com,The AI “revolution” needed capital, land, and loads of power. The rulers of Saudi Arabia, Qatar, and the United Arab Emirates were happy to provide all three.In 2024 before the arrival of Trump 2.0 the big American AI players began deepening their relationships with Persian Gulf capital, which began to invest heavily in data centers and other AI infrastructure. But the relationship has really taken off under the current administration that saw a path to re ...

Core Insights - The Guangdong-Hong Kong-Macao Greater Bay Area has launched the Generative AI Safety Development Joint Laboratory, with a focus on enhancing AI safety and facilitating cross-border AI services [2][4][10]. Group 1: Event Overview - The Guangdong-Hong Kong-Macao Greater Bay Area Generative AI Safety Development Joint Laboratory's Futian Service Station was inaugurated alongside an AI overseas expansion seminar in Shenzhen [2][10]. - The event marked the beginning of APEC "China Year" with the theme "Seizing APEC Opportunities, Setting Sail for New Blue Oceans" [2]. Group 2: Regional Advantages - Zhuhai, as a key location due to its proximity to the Hong Kong-Zhuhai-Macao Bridge, is positioned to lead in the AI sector, ranking third in the province for generative AI model registrations [5][6]. - The establishment of the Zhuhai service station aims to leverage local advantages to create a cross-border AI safety service hub, reinforcing the security framework for the AI industry in the region [5][6]. Group 3: AI Safety Governance - Zhuhai has developed a comprehensive AI governance system characterized by policy guidance, technical breakthroughs, and enterprise aggregation, with a focus on safety [8]. - The joint laboratory has issued certificates to seven enterprises for generative AI model registrations, highlighting the region's commitment to fostering a safe AI environment [8]. Group 4: Strategic Focus Areas - The Zhuhai center and service station will concentrate on three main areas: strengthening cross-border safety collaboration, empowering the development of specialized industries, and building an open innovation ecosystem [9]. - Specific initiatives include exploring mutual recognition of AI regulatory rules between Guangdong and Macao, and establishing a platform for AI safety and industry scenario integration [9]. Group 5: AI Safety Trends - The joint laboratory released the "2026 Annual AI Safety Top Ten Trends" report, emphasizing the shift from passive protection to proactive governance in AI safety [14][18]. - Key trends identified include the acceleration of global AI compliance frameworks, the increasing complexity of attack methods, and the need for a full lifecycle governance approach to AI safety [15][16][18].

Core Viewpoint - A class action lawsuit has been filed against Fermi Inc. alleging that the company overstated tenant demand and relied heavily on a single tenant's funding for its Project Matador campus, which poses significant risks to its financing commitments [1][2]. Group 1: Lawsuit Details - The lawsuit covers investors who acquired Fermi securities from September 28, 2025, to December 11, 2025, and claims that the company misrepresented key aspects of its Project Matador [1]. - Allegations include overstating tenant demand, reliance on a single tenant's funding commitment, and the risk of that tenant terminating its funding [1]. - The lawsuit allows investors who suffered losses to request lead plaintiff appointment by March 6, 2026 [1]. Group 2: Stock Performance - Fermi began trading on NASDAQ at $21.00 per share on October 1, 2025 [2]. - Following the announcement of the termination of a $150 million funding agreement by the first tenant for Project Matador, Fermi's share price dropped by $5.16, or approximately 33.8%, closing at $10.09 on December 12, 2025 [2]. Group 3: Lead Plaintiff Process - The lead plaintiff appointment process allows any investor who acquired eligible securities during the class period to seek appointment, with courts typically favoring those with the largest financial loss [3]. - Lead plaintiffs can influence case strategy, settlement decisions, and allocation of settlement funds among class members [3].

ST. LOUIS, Mo.--(BUSINESS WIRE)--World Wide Technology (WWT), a global technology solutions provider, today announced its AI Readiness Model for Operational Resilience (ARMOR), a vendor-agnostic solution, delivered by WWT, leveraging a jointly developed framework with NVIDIA. Refined with real-world feedback from The Texas A&M University System, ARMOR is among the first vendor-agnostic, end-to-end AI security frameworks designed to empower organizations to accelerate AI adoption confidently while ensuring r ...

Elon Musk’s artificial intelligence startup xAI said it has completed a $20 billion funding round from investors including Nvidia Corp., Valor Equity Partners and the Qatar Investment Authority. The investment has been in the works for months, and Nvidia had planned to put in as much as $2 billion, Bloomberg previously reported. XAI, which did not specify individual investment amounts or break out debt or equity portions of the round, said investors also include Stepstone Group, Fidelity Management & Rese ...

Core Insights - xAI has successfully completed an expanded Series E funding round, raising over the initially targeted $15 billion, ultimately reaching $20 billion [1] - The funding round included participation from notable investors such as Valor Equity Partners, StepStone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, with strategic investments from NVIDIA and Cisco Investments [1] - The primary use of the funds will be to expand computational infrastructure and related technological capabilities [1]

Elon Musk attends the U.S.-Saudi Investment Forum in Washington, D.C., U.S., November 19, 2025.Elon Musk's xAI said it raised $20 billion in a funding round, exceeding its prior target of $15 billion. CNBC reported in November that a financing would value the artificial intelligence startup at about $230 billion.Investors included Nvidia and Cisco Investments as well as long-time Musk company backers Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, ...