来源：环球时报 "大而美"法案已经被签署成法，其中一个变化尤其值得关注。在总统特朗普签署之前，美国参议院以99 票赞成、1票反对的压倒性优势，将"在未来十年禁止各州对AI实施监管"的条款从"大而美"法案中移 除。这给我们观察美国AI治理的未来路径提供了一个重要的切入点。 应当看到，虽然美国迄今尚无针对人工智能监管的联邦法律，但已有部分州出台或即将通过人工智能监 管的专门法规。例如纽约州自2021年起要求雇主需对用于招聘决策的人工智能工具展开偏见审查；加利 福尼亚州在2023年立法要求医疗机构披露使用生成式人工智能向患者提供信息的情况；同是加州，即将 于2026年生效的法律要求人工智能开发者公开模型训练数据来源等。 州级人工智能监管暂停条款的去留历经反转，生动地反映了如今美国社会面对人工智能的快速发展所持 有的多样见解与多重关切。一方面，有观点主张引入暂停条款，认为暂停执行纷繁复杂且可能彼此冲突 的人工智能监管州级法律有助于联邦政府及各部门有效用好人工智能并实现系统的现代化。例如共和党 议员特德·克鲁兹在此前参议院举办的关于"赢得人工智能竞赛"听证会上强烈抨击前总统乔·拜登关于人 工智能的行政命令，认为它"激发 ...

Group 1: Digital Economy Development - The development of the digital economy requires breakthroughs in technology, industrial collaboration, and international governance to build new advantages [1] - The digital economy era is driving profound changes in production factors, industrial forms, and competitive paradigms, with companies that possess technological foresight and agile transformation capabilities being able to seize development opportunities [1] - Key characteristics of digital economy development include innovation and market collaboration, deep restructuring of factor structures, and emerging enterprises having stronger innovation vitality and competitive advantages [1] Group 2: Infrastructure and Innovation Ecosystem - China aims to consolidate and further develop its advantages in the digital economy by advancing new infrastructure construction such as 5G networks and intelligent computing power [2] - The establishment of a unified data factor market is essential to support the innovation and development of technology-based enterprises [2] - Regional collaborative development should focus on promoting distinctive digital industries based on local advantages to form a differentiated development pattern [2] Group 3: Embodied Intelligence - Embodied intelligence aims to break the limitations of traditional artificial intelligence by endowing intelligent agents with physical perception and action capabilities [3] - The global embodied intelligence industry is significant, with applications enhancing productivity, such as the use of 80 intelligent transport vehicles at Shanghai Yangshan Port, which increased throughput by 130% [3] - Embodied intelligence is leading to revolutionary changes in production, service, and innovation ecosystems, while also facing challenges such as physical safety and data sovereignty [3][4] Group 4: Data Factor Market Development - Data is a crucial production factor in the digital economy, and balancing value release with privacy protection is key to market development [5] - Hunan Province has been proactive in building a data factor market, with plans for a national data factor comprehensive pilot zone by 2025 [5][6] - There is a need to enhance personal data rights, improve data trading mechanisms, and strengthen privacy protection to promote high-quality development of the data factor market [6] Group 5: Artificial Intelligence and Robotics - Alibaba Cloud is actively promoting the development of AGI (Artificial General Intelligence) and has made significant advancements in large model training technology [7][8] - The demand for intelligent robots in various sectors, including elderly care, is increasing, necessitating higher computational power for tasks such as perception and decision-making [9][10] - Domestic AI chips are becoming critical for the advancement of intelligent robots, with companies like Zhongke Yihai Microelectronics focusing on developing integrated AI chip architectures [11][12] Group 6: Smart Elderly Care Solutions - The aging population in China necessitates innovative solutions in the healthcare and elderly care sectors, with companies like Yanda Group integrating AI technology into their services [13][14] - Yanda International Health City is leveraging AI for personalized healthcare and rehabilitation solutions, aiming to set a replicable model for smart elderly care [14] Group 7: Digital Transformation in Traditional Industries - Xifeng Liquor is utilizing digital technology to enhance production processes and quality control, implementing a comprehensive digital management system [15][16] - The company is exploring new marketing models and integrating digital technology into its green production system to improve efficiency and sustainability [15] Group 8: Robotics in Households - The robotics industry is expected to accelerate, with companies like Yuanluobo focusing on making intelligent robots accessible to ordinary households [17][18] - The introduction of affordable household robots has the potential to address various family needs, achieving significant market recognition with over 100,000 units sold globally [18][19] Group 9: Digital Freight and Logistics - Digital freight is reshaping the logistics industry, enhancing efficiency and reducing costs through platforms like Manbang Group's "Yunmanman" [20][21] - The Ministry of Transport anticipates a reduction in logistics costs by 300 billion yuan by 2025, with a focus on optimizing transportation organization and resource allocation [21]

Group 1 - San Francisco Mayor Daniel Lurie announced the implementation of generative artificial intelligence for 30,000 city government workers, enhancing the city's leadership in AI [1][2] - The city will utilize Microsoft 365 Copilot Chat, powered by OpenAI's GPT-4o, to assist employees such as nurses and social workers in improving city services [1] - The initiative aims to streamline administrative tasks like data analytics and report drafting, allowing workers to focus more on resident interactions [2] Group 2 - The administration's move positions San Francisco as one of the largest local governments globally to adopt AI technologies [2] - Mayor Lurie emphasized that the use of large language models (LLMs) will lead to faster response times in city services [1]

Box CEO Aaron Levie is back for our weekly discussion of the latest tech news. We cover: 1) OpenAi's Windsurf deal falls through 2) Is OpenAI okay? 3) What percentage of all AI spend goes to coding? 4) Google's AI code play 5) Grok 4 is out 6) Does Grok show the scaling laws are still in effect? 7) Would Box work with Grok? 8) NVIDIA hits $4 trillion 9) Are we in an AI bubble? 10) Should Tim Cook step down? 11) Could Apple merge with OpenAI? --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐ ...

In fact, moments ago, the city of San Francisco announced it's rolling out Microsoft's co-pilot to its 30,000 employees, making it the largest US city yet to deploy the tech. Kate Rogers has more. She sat down with San Francisco's mayor, Daniel Lurri, to discuss the move.Kate, very interesting. Yeah, Kelly. So the initiative will see Microsoft 365 co-pilot chat powered by open AI's GPT offered as a resource for city employees including nurses and social workers to improve city services.C-Pilot will be made ...

特朗普将在宾州宣布700亿美元投资，旨在加速AI与能源布局。 7月14日，据媒体援引官员透露，特朗普计划于周二在宾夕法尼亚州匹兹堡郊外的一场活动中，正式宣 布总额达700亿美元的人工智能与能源投资。 媒体指出这些投资将来自多家公司，涵盖新数据中心的建设、发电能力的扩张、电网基础设施升级，以 及相关的人工智能培训项目和学徒计划。此次活动由共和党参议员David McCormick在卡内基梅隆大学 主办，名为首届"宾夕法尼亚能源与创新峰会"。 据报道，包括贝莱德的Larry Fink、Palantir科技的Alex Karp、Anthropic的Dario Amodei、埃克森美孚的 Darren Woods以及雪佛龙的Mike Wirth在内的多达60位AI与能源行业高管预计将出席。 私营部门投资推动AI发展 报道指出，在特朗普他们看来，充足的电力供应与国家安全密切相关，对于保持美国在人工智能主导权 竞赛中的全球领先地位至关重要。 据报道援引知情人士透露，贝莱德的Jon Gray预计将在峰会上宣布一个价值250亿美元的项目，用于数 据中心和能源基础设施开发，并成立一家合资企业以增加发电量。该项目预计每年创造60 ...

So joining us now for more is our own tech check anchor dear Drabosa to break down this M&A AI acquisition talent everything else war that's developing with people who have trillions of dollars in balance sheet I mean the twists and turns can be hard to keep track of uh we had we made up on tech check the sort of Mount Rushmore of AI talent meta has been the most aggressive recently but I mean you go back to Google acquiring deep mind and getting demos Habis. That was a huge move before the paychecks were i ...

Industry Landscape & Challenges - The tech industry is experiencing intense competition with rapid product launches and well-funded startups across various software categories [1] - Companies are collapsing in months rather than years due to the competitive pressure [1] - Foundational shifts in technology are happening on a monthly basis [4] - The key question for companies is "What do I build and why will it win?" [1] AI Product Strategy - Companies should treat AI like a series of Lego blocks, assembling differentiated AI features and products by integrating available AI capabilities with their data and functionality [12] - Competitive advantage comes from unique data, functionality, and understanding of unmet customer needs, not the AI itself [13] - Data provides context to the AI model to generate a unique output, with uniqueness stemming from real-time, user-specific, domain-specific, and human judgment data [16][17] - Functionality determines how the AI behaves and gives the AI product superpowers through specialized workflows, unique algorithms, business rules, and integrations [18] Granola Case Study - Granola, an AI notetaker, gained 40% market attention and $50 million in funding by focusing on helping users take better notes rather than replacing the entire note-taking process [21][22][24] - Granola assembled Lego blocks by using off-the-shelf AI capabilities (Deepgram for transcription, Anthropic and OpenAI for other functionalities) and combining user notes with transcriptions to enhance notes [25][26]

AI Investment and Strategy - Meta is aggressively investing hundreds of billions of dollars in compute buildout to achieve super intelligence, aiming for AI systems that outperform humans [1][2] - Meta is building multiple multi-gigawatt clusters, including Prometheus (coming online in 2026) and Hyperion (scaling to 5 gigawatts over several years), requiring more energy than some countries [2][3] - Meta aims to have the highest compute per researcher in the industry, potentially surpassing hyperscalers like Microsoft and Amazon in raw model training capacity [3] - Zuckerberg is focused on controlling the compute, team, and model building to reduce dependence on others for the next frontier model [4][5] Competitive Landscape - Meta's investment puts it in direct competition with OpenAI and Oracle's Project Stargate [3] - Google is also investing heavily, with plans to have a one-gigawatt supercluster online [6] - The race for AI dominance is shifting power back to model builders who own the stack and have the capital to build and train at scale [5][6] Business Model and Future Vision - Meta's advertising-driven business model generates significant cash, which is being reinvested in AI models to optimize ad load and consumer experience [9] - Zuckerberg aims to expand Meta's AI capabilities beyond advertising, envisioning Meta AI as a chatbot and AI coding platform [10] - The ultimate goal is to achieve "super intelligence" and reap the rewards of a platform shift [11]

A view of the Pentagon on December 13, 2024, in Washington, DC. Home to the US Defense Department, the Pentagon is one of the world's largest office buildings.The U.S. Department of Defense on Monday said it's granting contract awards of up to $200 million for artificial intelligence development at Anthropic, Google, OpenAI and xAI.The DoD's Chief Digital and Artificial Intelligence Office said the awards will help the agency accelerate its adoption of "advanced AI capabilities to address critical national ...