Group 1: Core Insights - The rise of Labubu represents a unique path of IP incubation, diverging from traditional methods reliant on media like film and animation, instead leveraging innovative operational mechanisms and digital platforms for influence and breakout effects [1][3][7] - Labubu's design and character traits resonate with contemporary user aesthetics and emotional projections, showcasing a rebellion against perfect imagery, which aligns with current trends in IP development [4][5][6] - The success of Labubu is significantly attributed to its effective social media strategy, particularly the viral promotion by celebrities, which has expanded its reach and popularity across various markets [6][7] Group 2: Media Environment Changes - The evolution of media environments has transformed IP incubation from a content-first approach to an interaction-first model, emphasizing the role of social platforms and user co-creation in building IP popularity [9][10] - Traditional IP incubation relied heavily on large-scale productions in film, animation, and gaming, while Labubu's success illustrates a shift towards utilizing social media and short video content for community building and engagement [10][11] - China's content industry is gradually developing its own innovative paths for IP creation, moving towards a more integrated approach that combines various media forms [12][13] Group 3: Evolution of IP Functions and Future Industry Trends - The value of IP has evolved from being mere extensions of single works to becoming core assets that connect communities and embody cultural identity, highlighting the importance of commercial viability [15][16] - Successful IPs today serve as powerful commercial amplifiers, with significant revenue generated from merchandise and licensing, as seen in the case of major franchises like Star Wars and Disney [15][16] - The future of IP development in China is expected to leverage its growing digital content ecosystem, fostering a multi-faceted approach that integrates social media, literature, short dramas, and gaming to create a robust IP narrative system [13][17]

Core Viewpoint - The article discusses the transformative impact of generative AI and embodied intelligence on technology, business, and society, emphasizing the need for a multi-faceted exploration of AI's opportunities and challenges [1]. Group 1: AI Development Trends - The development of AI in recent years has followed two clear trajectories: generative AI (AIGC) and embodied intelligence [5][9]. - Generative AI aims to equip machines with human-like cognitive abilities, while embodied intelligence focuses on enabling machines to mimic human sensory and action capabilities [10][11]. - The current AI landscape highlights the importance of data quality and training strategies over sheer data volume and computational power [6][19]. Group 2: Embodied Intelligence - The next phase of embodied intelligence is expected to involve mind-body coordination, reflecting the philosophical inquiry into how human-level intelligence arises [6][11]. - The application of embodied intelligence in consumer markets hinges on the machine's ability to empathize and understand human emotional needs [6][10]. - There is a significant gap in the data required for embodied intelligence to reach its potential, with current datasets lacking the scale necessary for generalization [7][24]. Group 3: AI as a Technological Revolution - Generative AI is characterized as a technological revolution based on three criteria: foundational nature, exponential productivity enhancement, and profound societal impact [13][14]. - The societal implications of AI's cognitive capabilities are vast, potentially affecting all human activities and leading to concerns about cognitive laziness among humans [14][16]. - In contrast, the impact of embodied intelligence on productivity is seen as limited compared to the cognitive advancements of generative AI [15][16]. Group 4: Data and Model Relationships - The relationship between model algorithms and data is crucial, with algorithms determining the lower limit of model performance and data defining the upper limit [20][21]. - The current focus in AI development is on enhancing data quality and training strategies, particularly in the context of embodied intelligence [19][22]. - The industry faces challenges in data acquisition for embodied intelligence, necessitating innovative approaches to data collection and synthesis [25][26]. Group 5: Future Directions - To overcome the data scarcity in embodied intelligence, strategies such as leveraging real, simulated, and synthetic data are being explored [25][26]. - The development of wearable devices capable of capturing real-world actions could provide a substantial data foundation for embodied intelligence [26]. - The complexity of human experience and environmental interaction presents significant challenges for the data-driven advancement of embodied intelligence [34][35].

AI前沿每周关键词Top50 （ 0623-0627 ） 每周50关键词 把握全局AI动态 点击 关键词 可查看资讯概述 事件 何恺明加入 谷歌 扫码 加入AGI数据库，AI智能问答 （ 腾讯研究院ima AGI知识库二维码） 推 荐 阅 读 王强 白惠天： 《万字解读"智能+"：加什么，怎么加？》 点个 "在看" 分享洞见 | 类别 | Top关键词 | 主体 | | --- | --- | --- | | 算力 | MPK编译器 | CMU | | 模型 | Keye-VL | 快手 | | 模型 | Mu模型 | 微软 | | 模型 | Kimi-VL开源 | 月之暗面 | | 模型 | 强化学习教师 | Sakana AI | | 应用 | AI应用构建 | Anthropic | | 应用 | Gemini CLI | 谷歌 | | 应用 | AI单元故事集 | 快手 | | 应用 | 声音复刻升级 | 科大讯飞 | | 应用 | 小米AI眼镜 | 小米 | | 应用 | AlphaGenome | 谷歌 | | 应用 | 具身Gemini | 谷歌 | | 应用 | Imagen 4 | 谷歌 | ...

以下文章来源于追问nextquestion ，作者追问 追问nextquestion . 科研就是不断探索问题的边界 George Musser 作者 张旭晖 编译 人工智能的终极梦想，从来不局限于打造一个能击败国际象棋特级大师的博弈引擎，或是设计出花言巧 语蛊惑人心的聊天机器人。它的真正使命，是成为一面映照人类智慧的明镜，帮助我们更深刻地认识自 我。 科研工作者的目标，也不止于是狭义的人工智能，他们追求的是通用型人工智能 （A GI ） ——一种具有 类人的适应力与创造力的智能系统。 诚然，如今大语言模型 （LLM） 的问题解决能力已然让大多数研究者刮目相看，但它们依然有着明显的 短板，例如缺乏持续学习的能力——一旦完成基于书籍、网络文本等材料的训练后，它们的知识库就被 冻结了，再也无法"更新"。正如AI公司SingularityNET的本·格策尔 （Ben Goertzel） 形象地比喻："你没法 让大语言模型去上大学，甚至连幼儿园都进不了。"它们通过不了有"机器人高考"之名的综合测验。 "掌握"了语言，离模拟思维还有多远？ 在语言处理方面，目前的LLM确实展现出了专家所称的AGI"形式能力"：即使你提供 ...

Group 1: Google Innovations - Google has introduced Gemini Robotics On-Device, the first visual-language-action model capable of running locally on robots without internet connectivity, suitable for latency-sensitive applications [1] - The model can perform dexterous tasks such as unzipping zippers and folding clothes, demonstrating superior generalization performance and multi-step instruction handling compared to other local models [1] - Gemini Robotics requires only 50-100 demonstrations to adapt to new tasks and can generalize across different robots like Franka FR3 and Apollo humanoid robots [1] Group 2: Google Imagen 4 and AI Studio - Google has launched Imagen 4 and Imagen 4 Ultra text-to-image models on AI Studio and API, with the standard version costing approximately $0.04 per image and the Ultra version about $0.06, generating images at near real-time speed [2] - Imagen 4 Ultra offers more precise prompt understanding and can generate high-quality images, supporting up to four 1024×1024 images per generation, capable of creating realistic surreal scenes [2] - The future integration of MCP server functionality and Jules SWE Agent into Google AI Studio aims to provide a more unified workflow and complex operational capabilities [2] Group 3: OpenAI's Document Collaboration Tool - OpenAI is reportedly developing a document collaboration feature for ChatGPT, allowing users to co-edit documents and communicate directly, posing a challenge to Microsoft Office and Google Workspace [3] - This feature is part of Sam Altman's strategy to position ChatGPT as a "super intelligent work assistant," with potential expansions into file storage and other productivity functionalities [3] - OpenAI's Canvas feature has been launched as a preliminary step, with expectations that enterprise subscriptions to ChatGPT could generate approximately $15 billion in revenue by 2030, intensifying competition with major shareholder Microsoft [3] Group 4: AI Innovations in Art - ODDY Studio has gained attention for its AI-driven project that revives famous paintings and artists in a fashion show format, showcasing works by Van Gogh, Dali, and Mona Lisa [4][5] - The project features a video that reimagines masterpieces like Van Gogh's "Starry Night" and Botticelli's "Birth of Venus," allowing art to transcend temporal boundaries [5] - The finale includes a scene where iconic artists like Van Gogh, Dali, Monet, and Da Vinci share the stage, creating an emotional resonance with the audience [5] Group 5: TicNote AI Hardware - Out of the Box has launched TicNote, the world's first Agentic AI hardware, designed to magnetically attach to the back of smartphones, supporting transcription in over 120 languages with 98% accuracy [6] - Equipped with Shadow AI, TicNote can automatically summarize and generate mind maps, boasting a 20-hour battery life, making it suitable for various scenarios like meeting notes and classroom recordings [6] - This product exemplifies the "soft and hard integration + AI" strategy, providing an efficient AI assistant for professionals [6] Group 6: Readdy.ai's Growth - AI design tool Readdy.ai has achieved nearly $5 million in ARR within four months of launch, becoming one of the fastest-growing AI applications abroad, leveraging viral marketing through short videos on platforms like TikTok [7] - The success of the product lies in its ability to generate high-quality interfaces that balance professional design standards with aesthetic appeal, allowing users to create professional UI designs with simple text descriptions [7] - The team behind Readdy.ai consists of top designers from China, known for creating Blue Lake and MasterGo, focusing on a product-driven growth strategy to address the pain point of enabling users without design backgrounds to produce professional interfaces [7] Group 7: Delphi's Funding and Vision - AI startup Delphi has secured $16 million in Series A funding led by Sequoia, aiming to create digital avatars that allow users to achieve "digital immortality," with emotional mentors already earning over $1 million annually [8] - The founder's initial motivation was to create a "digital brain" for his grandfather, who suffered a stroke, to digitize his memoirs and achieve digital healing [8] - Delphi offers multi-tier subscription services that can replicate users' language styles, knowledge systems, and expressions, allowing users to charge for each conversation and retain over 85% of the revenue, attracting writers, coaches, and investors [8] Group 8: Alibaba Cloud's AI Reward Feature - Alibaba Cloud's Bai Lian platform has partnered with Alipay to introduce an "AI reward" feature, enabling developers' Agent applications to receive direct user tips, which are transferred to developers' personal Alipay accounts [10] - Developers can configure the reward feature in two simple steps: enabling "Alipay AI Collection" and completing the "appreciation card" setup, with the platform generating random tip amounts under 10 yuan [10] - Over 100,000 developers have created more than 300,000 Agents on the Bai Lian platform, which will support publishing Agents across various channels and monetization opportunities for developers [10] Group 9: Biomni's Biomedical AI Agent - Biomni, a universal biomedical AI agent developed by Stanford and Genentech, can autonomously execute cross-domain research tasks without predefined workflows [11] - The system consists of Biomni-E1, which includes 150 specialized tools, 105 software applications, and 59 databases, and Biomni-A1, which combines large language model reasoning with code execution [11] - Biomni has shown excellent performance in genetics and genomics, capable of analyzing wearable device data, processing complex RNA data, and autonomously designing experimental protocols, now available for free use [11] Group 10: Open Source AI Models - Jim Zemlin, executive director of the Linux Foundation, believes that AI foundational models will eventually be fully open-sourced, with real competition shifting to the application layer [12] - The open-source model can attract top talent for collaborative innovation, with surveys indicating that developers' primary motivation for participating in open source is "getting work done" rather than financial gain [12] - The distinction between AI open source and traditional software open source lies in the need to share data, model weights, and other multi-layered components, rather than just code; future competitive advantages will be based on user experience and professional services at the application level [12]

Core Concepts - Kevin Kelly's new book "2049" presents five core concepts about the future: Mirror World, Human-like Intelligence, AI Assistants, Intervisibility, and Content Explosion [2] Group 1: Mirror World - By 2049, most smartphones will be replaced by smart glasses, creating a "Mirror World" where reality and virtuality overlap [7] - The Mirror World will be the next generation of the internet, providing immersive experiences powered by AI [7][8] - Companies providing data support for the Mirror World will become the largest and wealthiest globally [8] - As virtual experiences become more accessible, real experiences will become more precious and rare [8] - Data collection in the Mirror World will require a balance between personalization and privacy [8] Group 2: Human-AI Interaction - The relationship between humans and AI will be collaborative, with humans participating in AI operations rather than AI acting independently [10] - AI will not possess human-like understanding; thus, interactions with AI should not be interpreted through human standards [11] - By 2049, everyone will have AI assistants akin to personal secretaries, integrated into smart glasses or wearable devices [12][13] Group 3: Workplace Transformation - The "human + machine" model will lead to increased efficiency from machines while humans focus on less efficient, innovative tasks [13] - Middle management will be most affected by AI, as their roles can be automated [14] - Organizations will become flatter, with AI taking over tasks like reporting and evaluation [14][15] Group 4: Business Opportunities - The next 25 years will see significant growth in sectors benefiting from AI, including healthcare and education [18][20] - The AI field will likely be dominated by a few major players, with high entry costs for new startups [29] - Customization and personalization will be key trends, driven by comprehensive understanding of individuals [20] Group 5: Content Explosion - The next 25 years will witness a content explosion, with AI significantly impacting the publishing industry [24] - AI will enable personalized recommendations, transforming how knowledge is shared and consumed [24] - The film industry will be disrupted, allowing more individuals to create content [24] Group 6: Education Evolution - Personalized education will become widespread due to AI, transforming traditional educational structures [27] - New types of universities focused on job market needs may emerge, ensuring better alignment between graduates and employment opportunities [55] - Lifelong learning will become essential, with a focus on effective learning methods [59] Group 7: Healthcare Innovations - Digital twins will drive the development of personalized medicine, utilizing individual data for tailored healthcare solutions [62] - AI doctors will assist human doctors, improving healthcare access and efficiency [70] - Remote healthcare will help bridge the gap in medical resource distribution [70] Group 8: Technological Advancements - Five key areas will experience explosive growth: robotics, autonomous driving, space exploration, life sciences, and brain-computer interfaces [72] - The automotive industry will see a significant shift towards electric vehicles, with China emerging as a leader [75] - Space exploration will focus on Mars, with potential human habitation and research stations established [81]

Group 1 - Google Gemini launched seven paper art ASMR relaxation videos featuring scenes like flamingos dancing in water and Santorini sunsets [1] - These videos utilize paper art forms, high-precision prompts, stop-motion animation quality, and appropriate background sounds to create a dreamy effect [1] - Research indicates that this type of ASMR content spreads widely as it helps relax emotions, transforming from a productivity tool to an alternative path to aesthetics and healing [1] Group 2 - ElevenLabs released the 11ai voice assistant, focusing on voice-first design and multi-channel processing, supporting scheduling, task management, and information queries [2] - The 11ai integrates Perplexity search and tools like Notion and Linear, exploring how conversational AI can be embedded into actual workflows [2] - ElevenLabs specializes in AI audio technology, covering 32 languages, and has applications in audiobooks, game character voiceovers, and medical training, with room for improvement in Chinese capabilities [2] Group 3 - Microsoft introduced the Mu model, which has only 330 million parameters but performs comparably to models with ten times the parameters, achieving over 100 tokens per second response on NPU devices [3] - The Mu model employs innovations like dual-layer normalization, rotary position embedding, and grouped query attention to optimize the Transformer architecture, enhancing training stability and efficiency [3] - Mu supports Windows agent functionality, allowing real-time conversion of natural language commands into system operations, with a response time controlled within 500 milliseconds [3] Group 4 - SenseTime launched the "Task Planning Assistant," an interactive AI deep research tool that breaks down complex problems into executable steps [4][5] - This tool continuously engages in dialogue and questioning to uncover user needs, transforming vague goals into clear tasks, with each thought chain being traceable [5] - Practical tests show its effectiveness in complex areas like career planning, academic choices, and investment analysis, ultimately generating logically coherent graphic planning reports [5] Group 5 - QQ Browser's "AI College Entrance Examination Assistant" allows students to receive personalized college application reports within 3-5 minutes by entering basic information [6] - The report includes six sections: student information, strategy explanation, detailed application table and analysis, key school interpretations, and risk assessments [6] - It provides a personalized list of "reach, stable, and safety" schools and majors, including information on score lines, tuition fees, and special requirements, supporting multiple plan comparisons [6] Group 6 - The "Code on the Fly" AI Agent platform, showcased at the Huawei Developer Conference, supports direct generation of HarmonyOS applications through natural language dialogue [7] - This platform utilizes multi-agent system (MAS) technology, with multiple agents collaborating to automate the entire development process from requirement analysis to deployment [7] - Practical tests indicate that users can generate fully functional applications in just five minutes, with options to publish as mini-programs, apps, or websites, and access source code [7] Group 7 - Google's AR glasses prototype, codenamed "Martha," has been revealed, designed on the Android XR platform [8] - The accompanying application interface resembles the Pixel Watch, featuring notifications, settings, view recording, and feedback functions, clearly aimed at testers [8] - The hardware includes a built-in camera, microphone, and a small prism display on the right lens, capable of showing time and temperature, as well as supporting video recording and notification viewing [8] Group 8 - Anker Innovation and Romoss recalled 710,000 and 490,000 power banks, respectively, due to the battery supplier Amperis changing membrane materials without approval [10] - The lithium battery membrane is a critical safety component, allowing only lithium ions to pass while blocking electrons to prevent short circuits and fires [10] - Amperis faced quality management issues due to urgent production expansion amid rising demand, leading to the suspension of 11 3C certificates and quality management system certifications [10] Group 9 - Elon Musk emphasized first-principles thinking at the YC AI School, advocating for breaking down complex problems to their fundamental elements without relying on traditional analysis [11] - He believes that doing useful things is more important than seeking glory, with success measured by the contribution to others, using "utility multiplied by the number of beneficiaries" as a value metric [11] - Musk predicts that humanity is at the early stage of an intelligence explosion, with digital superintelligence imminent, which will significantly extend the lifespan of civilization as a multi-planet species [11] Group 10 - The core of AI Native products is to build new relationships between AI capabilities and humans, rather than merely creating tools with AI [12] - Achieving this relationship requires broad input and liquid output, where the former actively senses user environments and the latter delivers step-by-step collaboration with users [12] - Entrepreneurs in this era serve both users and AI, transforming the value model from a two-dimensional plane to a three-dimensional volume, necessitating a redefinition of traditional product economics and management [12]

王强 腾讯研究院前沿科技研究中心主任 白惠天 腾讯研究院高级研究员 大模型浪潮席卷全球，我们正站在技术范式颠覆的临界点。智能不再仅仅是工具，更是驱动产业进化的 新基因。"智能+"除了技术嫁接，还是认知革命和生态重构，其本质是给千行百业植入新时代的基因。 智能+，是从依靠人的经验决策，升级到人机共同协作。不是靠AI来打造新工具，而是用AI来实现人与 人、人与机器的新合作。 人类擅长直觉判断、伦理权衡和创新突破，而AI强于海量数据分析、模式识别 与全时响应。如医疗领域，AI可快速筛查影像数据并标记异常，但最终诊断仍需医生结合临床经验与患 者个体情况综合判断。这种分工并非简单辅助，而是重构决策链条——人类聚焦战略层 （如价值观校准、 复杂问题定义等） ，AI执行战术层 （数据挖掘、方案生成等） 。未来，决策的终极形态不是机器替代人类，而 是人类驾驭机器的规模化智能。当医生在AI辅助下挽救更多生命、管理者借力AI数据透视商业迷局时， 人机协同将不仅是工具升级，更是认知边界的拓展。 智能+，是从追求确定性思维，转向不确定性下的动态持续优化。 随着大模型能力的不断升级，带来了 应用深度的渐次解锁。第一波以ChatGPT为 ...

Group 1 - Tesla's Robotaxi service has launched in Austin, Texas, with a fixed price of $4.2 for invited users, deploying 10-20 Model Y vehicles [1] - The service operates under strict geographical restrictions from 6 AM to midnight, with safety monitors in the vehicle for emergency intervention [1] - User experience is generally stable, handling basic urban driving scenarios, but there are issues requiring remote intervention; plans to expand to thousands of vehicles in months, while competitor Waymo operates 1,500 autonomous vehicles [1] Group 2 - OpenAI has removed promotional videos related to its $6.5 billion acquisition of io, but the deal is still progressing normally [2] - The video removal was due to a court order related to trademark infringement complaints against io, but OpenAI disagrees with the complaint and is assessing its response [2] Group 3 - The new Kimi-VL-A3B-Thinking-2506 multimodal model has surpassed GPT-4o in various assessments, using only 2.8 billion active parameters [3] - It shows outstanding performance in mathematics and video understanding, with MathVision scoring 56.9 and VideoMMMU scoring 65.2, setting new records for open-source models [3] - The model supports 3.2 million pixel resolution, enhancing clarity in thought processes, and has outperformed Qwen2.5-VL-32B while being comparable to Qwen2.5-VL-72B [3] Group 4 - MiniMax has introduced the Voice Design feature, allowing users to customize voice tones through natural language descriptions, enabling combinations of any language, accent, and tone [4][5] - The Speech-02 model continues to rank first globally on the Artificial Analysis leaderboard, having generated over 150 million hours of speech and collaborating with clients in over 30 countries [5] - Voice Design addresses challenges in accurately matching system tones to specific scenarios and reduces the high costs of replicating tones by automatically generating custom tone codes from text descriptions [5] Group 5 - Baidu has launched Comate AI IDE, a native AI programming workspace that supports multimodal and multi-agent collaboration, available for download [6] - Key features include the Zulu coding assistant for full-process coding support, one-click design-to-code conversion, and image-to-code capabilities, facilitating front-end and back-end development [6] - The platform supports the MCP open platform, allowing integration with third-party tools like GitHub, enabling users to express ideas and complete development seamlessly [6] Group 6 - Sakana AI has introduced a new paradigm called "Reinforcement Learning Teacher" (RLT), allowing models to learn how to teach rather than just solve problems, generating explanations to aid student models [7] - A 7 billion parameter teacher model has outperformed a 671 billion parameter DeepSeek-R1 and effectively teaches larger student models, significantly reducing training costs [7] - The RLT method aligns the reward mechanism of the teacher model with teaching effectiveness, reducing training time from months to less than a day, paving the way for efficient inference models [7] Group 7 - Deezer is marking AI-generated music albums and intercepting over 20,000 AI-generated tracks daily, which accounts for about 18% of uploads, with 70% of their play counts being fraudulent [8] - Although AI-generated songs currently represent only 0.5% of total platform traffic, their growth is rapid, and marked AI content will not appear in curated playlists or algorithmic recommendations [8] - Deezer has applied for two patents for its AI detection technology, which identifies unique features of synthetic versus real content, coinciding with negotiations between major record labels and AI music startups for licensing agreements [8] Group 8 - Tencent's "Brain Training" cognitive function training software has received medical device registration, allowing it to be prescribed by doctors for patients with mild cognitive impairment [10] - The software employs gamified cognitive training methods, integrating training into four life scenarios: poetry, organization, cooking, and music, targeting various cognitive domains [10] - Clinical trials indicate significant improvements in cognitive scores after using the software, aimed at approximately 38.77 million elderly individuals in China with mild cognitive impairment, potentially delaying or preventing progression to Alzheimer's disease [10] Group 9 - Galaxy General has completed a new funding round of 1.1 billion yuan, led by CATL and Puquan Capital, with total funding exceeding 2.4 billion yuan and a valuation reaching 1 billion USD, setting a record in the humanoid robot industry [11] - The company has strong technical capabilities, having released the world's first open-source cross-virtual-real humanoid robot remote operation system, OpenWBT, and launched smart retail solutions, with plans to deploy 100 stores annually [11] - Industry attention is focused on the potential collaboration between Galaxy General and Yushu Technology, as both have complementary technologies and close capital relationships, with promising future cooperation prospects; the humanoid robot market in China is expected to reach 7,300 units and nearly 2.4 billion yuan by 2025 [11] Group 10 - Economists predict an impending AI-induced unemployment wave and potential global economic collapse within the next 2-5 years, as AGI may be achieved [12] - A Virginia University economist warns that the current income distribution system is unsustainable, suggesting that as AI advances, human wages will decline, advocating for a "universal basic income" [12] - Experts urge governments to urgently develop new income distribution systems and enhance AI regulatory cooperation to prevent large-scale unemployment and social instability caused by AI technologies [12]

以下文章来源于腾讯科技 ，作者郝博阳 腾讯科技 . 腾讯新闻旗下腾讯科技官方账号，在这里读懂科技！ 郝博阳 腾讯科技《AI未来指北》特约作者 2025年1月到5月间，斯坦福大学的研究团队完成了一项本应在AI热潮开始时就进行的调查。他们采访了 1500 名 美 国 员 工 和 52 名 AI 专 家 ， 评 估 了 104 个 职 业 中 的 844 项 具 体 任 务 。 这 项 由 经 济 学 家 Erik Brynjolfsson和Yijia Shao领导的研究，第一次系统地量化了一个简单却被忽视的问题： 人们到底想要什 么样的AI？ 在这844项职业任务中，研究者让员工们用1到5分评价他们对AI自动化的渴望程度。结果呈现出一幅复 杂的图景： 仅有7.11%的任务得分大于等于4分——意味着员工希望大部分由AI来接管；另有6.16%的任务得分在2 分以下，表明员工强烈抵触自动化。总体而言，46.1%的任务获得了3分以上的正面评价，但这个看似中 性的数字掩盖了巨大的行业差异。 在计算机和数学领域，超过半数的任务受到欢迎；而在艺术、设计和媒体领域，这个比例骤降至 17.1%。更关键的发现在于，当研究者将这些员工 ...