从国内算力切换到海外算力 □本报记者 魏昭宇 近日，中国证券报记者梳理多只绩优科技主题基金最新披露的二季报发现，不少基金经理的投资思路在 二季度有所变化。有的基金经理将原本放在国内算力板块的仓位转换到了海外算力板块，有的基金经理 则选择系统性减持上半年讨论热度颇高的人形机器人概念股。 有业内人士表示，中国科技创新突破引发人工智能（AI）乃至整体优质资产的价值重估。在外部扰动 因素频频发酵的背景下，国内AI产业链的重要性凸显，海外AI龙头超预期的财报也进一步验证了AI算 力的长期需求。 基金经理冯炉丹在中欧数字经济混合发起二季报中表示，当前阶段最值得关注的投资机会在于海外推理 侧的基础设施建设，而未来最核心的观察变量则是商业闭环的形成。冯炉丹将AI基础设施列为目前组 合的重点配置方向之一，她表示，将重点布局和海外需求相关的，具备技术领先优势的企业。 7月19日，财通基金披露了基金经理金梓才在管产品的二季报。与一季度末相比，其管理的多只产品的 前十大重仓股均出现较大变动。 以财通成长优选混合为例，该产品二季度末的前十大重仓股分别为仕佳光子、生益电子、新易盛、中际 旭创、天孚通信、太辰光、工业富联、长芯博创、德科立 ...

Core Viewpoint - The article discusses the launch and evaluation of ChatGPT's Agent mode, highlighting its capabilities and the potential of MiniMax's Agent product, which integrates backend services to create functional applications quickly and efficiently [1][3][20]. Group 1: ChatGPT Agent Mode - ChatGPT's Agent mode was launched recently, prompting a thorough evaluation of its features and capabilities [1]. - The author spent a day testing various tasks to understand the Agent's performance and potential [1]. Group 2: MiniMax Agent Product - MiniMax's Agent is noted for its advanced capabilities, allowing users to quickly turn ideas into reality, significantly outperforming similar products in development capabilities [3][8]. - The integration of backend services through Supabase is a key differentiator, enabling users to create fully functional applications without needing extensive backend knowledge [20][23]. Group 3: Application Development - The article describes the process of developing an AI event information sharing platform using MiniMax Agent, which automates the creation of both frontend and backend components [17][20]. - The author successfully utilized the Agent to gather and organize event data, demonstrating the tool's efficiency in handling complex tasks [13][17]. Group 4: User Experience and Cost - The experience of using MiniMax Agent is described as user-friendly, allowing even those with limited technical skills to create functional applications [23][36]. - However, the cost of using the Agent is highlighted as a concern, with significant expenses incurred during the testing phase, indicating that while the tool is powerful, it may not be affordable for all users [50][52].

Seed rounds don’t look like they used to. Neither does the AI landscape.This week on @EquityPod, @kirstenkorosec, @RebeccaBellan and Anthony Ha unpack the $2B raise from OpenAI’s former CTO, the latest wave of AI safety controversies, Uber’s new AV investments, and Jack Dorsey’s vibe-coding era.Listen here: https://t.co/FsaDrer23x ...

最近，科技圈里开始流行一句话：人工智能（AI）带来的冲击，也许"并不是一声巨响，而是一阵 呜咽"。这句话反映的是，一些人对于AI潜移默化改变人们生活及工作习惯这一趋势的思考，甚至是担 忧。 对此，一部分技术伦理学者持悲观态度。他们认为，当越来越多的人开始习惯于借助AI工具查找 资料、完成文本写作、生成图片时，人们正在丧失一些基本能力，包括曾经独属于人类的创造性、深度 思考能力以及批判性思维能力等。更可怕的是，大多数人痴迷于这种技术带来的便捷，而对技术依赖可 能导致的"人的退化"毫无警惕之心。 麻省理工学院最近发布的一项研究结果，就对这个问题展开了量化研究： 研究人员将54名参与者分为三组，分别要求其使用OpenAI的人工智能ChatGPT、谷歌搜索引擎以及 不借助任何工具，完成数篇文章创作。其间，研究人员通过脑电图监测了受试者32个大脑区域的活动情 况。 分析结果显示出显著差异：使用ChatGPT的受试者相较于其他两组，脑神经连接强度最弱，其执行 控制能力和注意力投入度较低，且在神经、语言和行为等层面均表现不佳。而不使用任何工具的参与者 展现出最强且分布最广的脑神经连接，他们更加投入，好奇心更强，更注重自主性 ...

ChatGPT can accomplish tasks with real-world impact, if you let it.Open AI's platform now contains an agent that can plan a meal and actually purchase the ingredients, generate editable presentations based on industry competitors, and more.Get the full rundown right here: https://t.co/HynboLMom8 ...

Overview - The document discusses building production voice applications [1] - It shares learnings from working with customers in the voice application domain [1] Authorship - The content is associated with tokisherbakov (Twitter handle) and akotha7 (LinkedIn profile) [1]

Group 1 - Kimi K2 surpasses DeepSeek to become the top open-source model globally, ranking fifth overall and closely following leading closed-source models [1] - K2 inherits the DeepSeek V3 architecture with parameter adjustments, including an increase in expert numbers and a reduction in attention heads [1] - Two of the top 10 open-source models are from China, challenging the perception that "open-source equals weak performance" [1] Group 2 - Decart releases MirageLSD, the first real-time, unlimited diffusion video model capable of processing any video stream with a 40-millisecond delay [2] - Karpathy invests as an angel investor, foreseeing broad applications in real-time film production, game development, and AR [2] - The breakthrough lies in the real-time stream diffusion architecture, addressing error accumulation through frame-by-frame generation and historical enhancement methods [2] Group 3 - Suno V4.5+ offers layered generation and fusion of vocals and instruments, allowing users to upload personal vocals or accompaniments for AI-assisted creation [3] - The new "Inspire" mode enables users to upload personal dry vocals for AI to learn and create music that matches their vocal characteristics [3] - The platform has optimized creative thresholds and enhanced AI collaboration efficiency with the launch of Suno V4.5+ [3] Group 4 - Tencent Yuanbao App integrates QQ Music services, enabling users to search for songs with a phrase and play them instantly without leaving the chat interface [4] - The technology is driven by a dual-engine system combining mixed models and DeepSeek-R1, capable of recognizing vague music descriptions and providing contextual recommendations [4] - User experience improvements include seamless account connectivity, multimodal interaction, and creative assistance, reflecting the evolution of AI assistants from tools to partners [4] Group 5 - OpenAI's ChatGPT agent faces criticism from competitors like Manus and Genspark, highlighting its limitations despite integrating multiple functionalities [5] - The ChatGPT agent can automate tasks like retirement planning and shopping lists, but its output is considered simplistic compared to competitors [5] Group 6 - PhysRig, developed by UIUC and Stability AI, introduces a framework for character animation with micro-physical binding, embedding rigid skeletons into elastic soft bodies [6] - This method replaces traditional techniques with micro-physical simulations, addressing issues of volume loss and deformation artifacts [6] - The framework outperforms traditional methods across 17 character types and 120 animation tests, supporting cross-species motion transfer [6] Group 7 - OpenAI's mysterious general reasoning model achieved a gold medal level in IMO 2025 by solving five problems and scoring 35 points [7] - The model demonstrates deep creative thinking capabilities lasting several hours, surpassing previous AI's minute-level reasoning [7] - This achievement is a result of breakthroughs in general reinforcement learning rather than task-specific training, although the model will not be released [7] Group 8 - The creator of Claude Code emphasizes that the best AI tools should empower users, advocating for simple, universal tools rather than complex systems [8] - The focus is on providing foundational capabilities that allow users to control their workflows rather than having the tools dictate them [8] - Effective workflows should involve exploration and planning followed by user confirmation before coding, utilizing test-driven development for iterative improvement [8] Group 9 - The focus on agents, open-source, and the choice of DSV3 architecture is justified by the need to stimulate model capabilities without relying on external products [9] - Open-sourcing enhances visibility and community contributions, ensuring genuine model progress rather than superficial improvements [9] - The DSV3 architecture has been proven superior in experiments, allowing for cost-effective adjustments without introducing ineffective variables [9] Group 10 - Many current AI products are expected to be replaced as they do not adhere to scaling laws, with a focus on enhancing model capabilities rather than merely expanding tools [10] - Current AI models exhibit lower data efficiency compared to humans, indicating that algorithm improvements are more critical than simply increasing data scale [10] - Research on multi-agent systems is evolving to explore not just interactions but also extending reasoning capabilities from minutes to hours or even days [10]

Core Insights - OpenAI has not released GPT-5 as planned, instead launching the ChatGPT Agent, which possesses autonomous thinking and action capabilities [2][3] - Manus, a previously popular AI agent, has cleared its social media content and is reportedly relocating its headquarters to Singapore, leading to significant layoffs in China [2][6] Group 1: ChatGPT Agent Features - The ChatGPT Agent can autonomously select tools from its skill set to complete complex tasks, such as analyzing competitors and creating presentations [3] - It integrates functionalities from previous features like Operator and Deep Research into a unified system, enhancing its ability to interact with websites and process information [3][4] - The system includes various tools for web interaction, text processing, and code execution, but trading and sensitive operations are restricted to prevent financial losses [4][5] Group 2: Manus Market Exit - Manus has exited the Chinese market, clearing its social media and indicating a shift in focus to operational efficiency by relocating to Singapore [6][7] - The decision to move may be influenced by U.S. investment restrictions and the challenges of maintaining different product versions for domestic and international markets [7] - Manus's co-founder reflected on the challenges faced in developing AI agents, emphasizing the complexity of building effective systems [6][7] Group 3: Industry Trends and Predictions - The global AI agent market is projected to reach $5.4 billion by 2024, with expectations for significant growth as major companies commercialize AI agent products [8] - Analysts predict 2025 could mark the "year of the AI agent," with foundational large models being crucial for agent capabilities [8][9] - Concerns exist regarding the sustainability of the AI agent market, with predictions that over 40% of projects may be canceled by the end of 2027 due to market corrections [8][9]

Core Insights - OpenAI has been under intense media scrutiny, especially following the departure of several key employees, leading to discussions about its internal culture and management style [1] - The article provides firsthand insights from former employee Calvin French-Owen, detailing his experiences and reflections on working at OpenAI [1] Group 1: Company Culture and Communication - OpenAI has experienced rapid growth, expanding from over 1,000 employees to more than 3,000 in just one year, resulting in significant changes in leadership responsibilities [9] - Internal communication primarily relies on Slack, with minimal use of email, leading to a unique work environment where attention management is crucial [10] - The company emphasizes a "bottom-up" culture where promotions are based on actual capabilities rather than political maneuvering, valuing good ideas and execution [11][12] Group 2: Decision-Making and Strategy - OpenAI is characterized by its quick strategic adjustments, allowing for efficient decision-making that is not commonly seen in larger organizations like Google [14] - The company maintains a high level of confidentiality regarding its projects, often leading to media reports on developments before internal announcements [14] - Safety and ethical considerations are paramount, with a focus on addressing real-world risks rather than theoretical concerns [16] Group 3: Engineering and Development - OpenAI employs a large monolithic codebase primarily in Python, with a mix of Rust and Golang services, reflecting a diverse coding style [21] - The engineering team is noted for its rapid action and high mobility, with quick responses to project needs without bureaucratic delays [19] - The Codex project exemplifies OpenAI's "sprint to release" mentality, with the team completing the product from the first line of code to launch in just seven weeks [25][26] Group 4: Product Development and Market Impact - Codex, an AI programming assistant, was developed with a focus on user engagement, generating significant user interest immediately upon release [26][27] - The product's design allows for asynchronous operation, positioning it as a collaborative tool for users [26] - Codex has shown impressive performance metrics, generating 630,000 public pull requests within 53 days of its launch, indicating strong user adoption [27] Group 5: Personal Reflections and Industry Insights - The author reflects on the challenges of transitioning from entrepreneurship to a large organization, highlighting the unique opportunities at OpenAI [28][32] - The competitive landscape for AGI development is noted to be dominated by three main players: OpenAI, Anthropic, and Google, each with distinct approaches [32]

36氪出海 . 36氪出海（letschuhai.com）是关注出海的行业媒体，为企业跨境提供海外咨询及专业服务，同时运营着超万人的出海生态社群。 以下文章来源于36氪出海 ，作者36氪出海 来源｜ 36氪出海（ID：wow36krchuhai） 封面来源 ｜ Pexels 泡泡玛特预告上半年利润至少增3.5倍 消费电子产业链加速出海，赴港上市布局全球 茶百道新加坡首批两家门店开启试营业 萝卜快跑与Uber达成战略合作，全球部署数千台无人驾驶汽车 海关总署：今年上半年我国工业机器人出口增长61.5% MiniMax近3亿美元新融资基本完成 智元机器人获正大机器人战略投资，将开启全球化布局 萝卜快跑与Uber达成战略合作，全球部署数千台无人驾驶汽车 萝卜快跑宣布与全球最大的移动出行服务平台Uber建立战略合作伙伴关系，将萝卜快跑无人驾驶出行服务拓展至美国和中国大陆 以外的全球多个市场。按照计划，数千辆萝卜快跑无人驾驶汽车将接入Uber全球出行网络，为更多用户带来人人可用且稳定可靠 的无人驾驶出行服务。截至发稿，百度美股盘前涨超4.56%。（上证报） 泡泡玛特：预期截至2025年6月30日止六个月溢利较去年同期增 ...