4月29日凌晨，OpenAI又放大招，为ChatGPT新增购物功能，包含推荐精选商品与购买按钮，以此向谷 歌发起挑战。 ChatGPT内置的新购物体验与谷歌购物存在诸多相似之处：当用户点击某款平价办公椅图片时，屏幕右 侧会显示亚马逊、沃尔玛等零售商列表及购买按钮。目前，两者最大的差异在于：OpenAI的搜索结果 不含付费排名。弗莱特别强调： "这些搜索不是广告，也没有商业赞助。" 谷歌购物中的部分推荐产品确实源于零售商付费投放的广告，但这仅是其排序机制的一环。测评类网站 持续优化推荐内容，试图让不透明的谷歌算法认定其评测（经真人严格测试）质量更高，而这些深度评 测往往能获得搜索排名优势。当用户研究商品时，位居前列的推荐能为发布者带来更多的联盟营销收 入。 那么，ChatGPT如何选择推荐哪些产品？当用户输入提示词时，为何某些特定的咖啡机和办公椅会优先 显示？ 对于在线出版商而言，最紧迫的问题莫过于联盟收入分成机制。目前若用户通过《连线》的办公椅测评 链接购买，该媒体能获得分成。但当ChatGPT汇总多个平台的好评后推荐商品，相关的收益分配机制尚 未明确。 这项基于AI搜索查询的购物功能将面向所有用户开放，且无 ...

以下文章来源于AI无象限 ，作者关注AI的 AI无象限 . 关注国内外AI技术前沿发展及其在各领域的应用。 来源丨AI无象限（gh_038acd4f5b63） 作者丨 李爽 编辑丨殷观晓 4 月 10 日，MainFunc 创始人兼 CEO Eric Jing 通过 X 宣布 Genspark Super Agent 已经达成 1000 万美元 ARR 的里程碑，此时距这款产品正式发布刚刚过去 9 天。 乍一听上去很酷炫，但这并不是实际入账千万美元，产品刚上线 9 天，靠谱一点的团队，会用 9 天收入 的平均值来核算 ARR。 官宣推文｜图源：X 回到产品，Genspark Super Agent 是一款通用型 AI Agent，官方将其定义为 AI 助手的最终形态，具备自 主思考、规划任务、采取行动和使用工具来处理日常任务的一系列能力。目前 Genspark Super Agent 的功 能被集成在了 Genspark（https://www.genspark.ai/）中，后者原本是作为一个 AI 搜索引擎推出，但如今 的产品形态围绕着 AI Agent 发生了巨大变化。 Genspark Super Ag ...

作 者丨肖潇 实习记者隆欣玲 编 辑丨王俊 美国宣布对所有贸易伙伴加征"对等关税"的消息持续动荡，这几天里，手机里的新闻 弹窗爆炸，不同地区、不同行业的关键词在标题里轮番滚动。 想 要 快 速 看 懂 发 生 了 什 么 ， 却 越 刷 越 眼 花 缭 乱 ， 突 然 想 到 ： 能 不 能 让 A I 帮 忙 总 结 一 下"美国最新关税加征政策对市场的影响"？ A I果然高效。短短几秒里，它就给出了股市情况、行业冲击、中国应对措施。有言之 凿凿的数据，有生动的案例，比如华为启动了"鸿蒙供应链计划"，联合1 5 0 0家供应商 构 建 去 美 化 产 业 链 ；Temu 、 S H EI N 等 平 台 被 迫 提 价 1 5 % ~ 2 5 %；Ti kTo k 商 家 伪 装 东 南亚店铺销售. . . . . . 但这些"故事"这么快就出炉了吗？作为记者，出于职业本能的半信半疑，一条条点进 链接查看，结果发现有的说法出自个人账号，看不出来源；有的是好几年前的行业数 据——今年情况早就不同了；还有的数据根本就是无中生有，前文提到的几则信息均 是如此。 这并非偶然。就像一滴墨染入清水，A I编造的内容正在 ...

现在，制作一条这样的ins做饭视频，你猜需要几个步骤？ 鱼羊 一水 发自 凹非寺 量子位 | 公众号 QbitAI 刚刚，又一个中国血统智能体，让歪果仁大呼"疯狂"。 于是乎，歪果友人的反应be like： 新的最佳Agent来了！再次来自中国。 比赛完全没有放缓的迹象。 细究起来，Genspark倒并非新面孔，其背后公司，是 前百度高管、小度之父景鲲的创业公司MainFunc 。 去年 （2024年） 6月，MainFunc官宣成立即推出首款产品Genspark。不过当时，他们剑指的还是AI搜索，并凭此在种子轮融了6000万美 元 （约合4.35亿人民币） ，投后估值突破18亿人民币。 答案是，告诉Agent"帮我制作一条如何制作金桔开心果脆皮鳕鱼的视频"，然后就可以坐等结果了。 全程无需自己动手打开任何一个视频编辑软件，零帧起号不是梦（doge）。 这个智能体名叫 Genspark超级智能体 ，刚一推出，就在智能体基准测试GAIA上击败了Manus和OpenAI Deep Research。 关键是，它不要邀请码， 免！费！就能玩 ！ 如此看来，此番超级智能体新亮相，还意味着景鲲团队的彻底掉头转向。 "适 ...

Core Viewpoint - The article emphasizes the transformation of AI tools, highlighting that the future will see AI as a tool used by humans, rather than merely a replacement for traditional search methods [4][5][14]. Group 1: Product Development and Features - The launch of "New Quark" represents a significant upgrade, introducing the "Super Box" concept, which aims to redefine the relationship between humans, tools (AI), and tasks [3][4]. - The "Super Box" is designed to be a "Super Agent" that directly delivers results by integrating various AI capabilities, such as AI search, writing, and health assistance, into a single interface [4][5]. - Quark's user base has grown significantly, with over 200 million monthly active users and a cumulative download exceeding 370 million by 2024, indicating strong market acceptance [8]. Group 2: Strategic Vision and Market Position - The strategic focus on Quark as a core component of Alibaba's AI To C strategy reflects a shift towards consumer-oriented AI products, aiming to provide comprehensive solutions for everyday tasks [6][7]. - The leadership of Wu Jia, who has extensive experience within Alibaba, is pivotal in driving Quark's growth and aligning it with the company's broader AI mission [9][10]. - The "Super Box" is positioned as a versatile tool that can cater to a wide range of user needs, from academic reports to travel plans, emphasizing its utility across various demographics [21][22]. Group 3: Future Directions and Innovations - Future developments will focus on enhancing the "Super Box" to support multi-modal inputs, allowing users to interact through various means such as voice and images [22][23]. - The integration of deep thinking capabilities and multi-modal abilities will enable the "Super Box" to handle more complex tasks, further distinguishing it from traditional search engines [35]. - The overarching goal is to establish Quark as a leading "Super Entrance" in the AI era, facilitating seamless interactions between users and information [40].

Summary of Conference Call Notes Industry or Company Involved - The discussion revolves around the AI industry, specifically focusing on the developments and models from a company referred to as "Deep Sick" [1][2][3]. Core Points and Arguments 1. **Model Series Overview**: Deep Sick has released several models, notably V3 and R1, which are considered high-performance and cost-effective. The V3 model is highlighted for its engineering optimization and performance [1][2]. 2. **Comparison with Competitors**: The V3 model is compared to OpenAI's GPT-4, suggesting that it operates at a similar level of capability. The discussion emphasizes the importance of responsible AI development [2][3]. 3. **Scaling Laws**: The concept of "shifting on the curve" is introduced, indicating that as models evolve, they can achieve similar performance with fewer parameters, leading to cost reductions over time [3][4]. 4. **R1 Model Characteristics**: The R1 model is designed for long reasoning tasks, capable of handling complex queries. It has gained significant user engagement, reaching nearly 30 million monthly active users shortly after its release [5][6]. 5. **User Demographics**: Only 30% of R1's users are from China, indicating a strong international presence and appeal [6]. 6. **Innovative Training Approach**: The R1 model employs an object reward model (ORM) for training, which differs from traditional supervised fine-tuning methods, allowing for more flexible learning [7][8]. 7. **Consumer Applications**: The AI search capabilities of Deep Sick are highlighted as a rapidly growing application area, with the potential to provide reliable answers to user queries [10][11]. 8. **Market Impact**: The success of Deep Sick is seen as a catalyst for innovation in the AI sector, with implications for various industries, including healthcare and legal services [12][21]. 9. **Resource Requirements**: The discussion notes the significant computational resources required to support the models, with estimates suggesting the need for thousands of high-performance GPUs [19][20]. 10. **Future Outlook**: The potential for new applications and the overall positive sentiment towards the AI industry is emphasized, despite the presence of market bubbles [23]. Other Important but Possibly Overlooked Content 1. **Training Costs**: The narrative around the cost of developing AI models is nuanced, with claims that the reported costs may not fully capture the total investment required for development [16][17]. 2. **Externalities of Open Source**: The open-source nature of Deep Sick's models is seen as beneficial for fostering innovation and entrepreneurship within China [22][23]. 3. **Market Dynamics**: The call highlights the competitive landscape, noting that while some companies may struggle, others are likely to emerge successfully from the current market conditions [23]. This summary encapsulates the key insights and discussions from the conference call, providing a comprehensive overview of the current state and future potential of the AI industry as represented by Deep Sick.

Core Insights - The article emphasizes the transition from traditional keyword-based search engines to AI-driven search models, highlighting the launch of Quark AI Search's "Deep Thinking" as a pivotal moment in redefining search engine capabilities [1][27] - Quark's "Deep Thinking" model utilizes reasoning to provide comprehensive answers, moving beyond simple information retrieval to a deeper understanding of user intent and context [2][13] Group 1: AI Search Evolution - Traditional search engines rely on keyword matching and webpage ranking, which often leads to fragmented information retrieval for users [2][23] - Quark's "Deep Thinking" model simulates human reasoning, allowing for multi-step inference and providing integrated, in-depth responses to complex queries [2][3] Group 2: Z Generation Social Product Design - The article outlines a systematic framework for designing social products tailored to Generation Z, focusing on their core characteristics such as individual expression, fragmented attention, strong privacy awareness, and emotional needs [4][6] - Key design principles include decentralized identity construction, low-pressure social environments, gamified experiences, and AI-enabled emotional connections [6][7] Group 3: Healthcare Information Retrieval - In the healthcare sector, Quark AI Search demonstrates its superiority by providing systematic solutions to queries, such as comprehensive advice on pollen allergy prevention, rather than just returning scattered links [9][10] - The model's ability to deliver structured health information showcases its professional advantages in the medical field [9][12] Group 4: Future of AI Search - Quark aims to evolve from a traditional search engine to an AI omnipotent assistant, capable of supporting various professional tasks such as report writing, research analysis, and strategic decision-making [23][24] - The anticipated integration of larger reasoning models indicates a significant expansion of Quark's capabilities, positioning it as a knowledge assistant and innovation catalyst in the future [25][27]

Core Insights - The article discusses the interaction between AI search engines and content creation, highlighting how AI models like DeepSeek and Tencent Yuanbao evaluate and prioritize content based on user needs and market trends [2][20][24]. Group 1: AI Earphone Market Insights - The article emphasizes the growing demand for AI earphones, particularly those with translation capabilities, which are increasingly popular among diverse ethnic groups [2][6]. - Two key articles, "9块9的中国AI耳机" and "双十二耳机选购指南," are identified as influential references for AI earphone recommendations, both providing in-depth analysis of user needs and market trends [8][9]. - Tencent Yuanbao's recommendations for AI earphones include WISHEE AI earphones, which, despite low market visibility, were prioritized due to their innovative features and user-centric design [10][11]. Group 2: AI Search Engine Evolution - The article outlines a shift from traditional search engines to AI-driven search engines, which provide direct answers to user queries, enhancing user experience and engagement [25][26]. - AI search engines have shown a significant increase in interaction rounds, averaging 2.8 times per query, which is 70% higher than traditional search methods [27]. - The rapid adoption of AI search technologies is evidenced by the growth in active users, with OpenAI reaching over 400 million weekly active users and DeepSeek surpassing 100 million downloads [28]. Group 3: New Business Opportunities - The article suggests that the rise of AI search engines presents new opportunities for SEO strategies, shifting from keyword-based advertising to content quality and relevance [35][40]. - Companies are encouraged to focus on creating high-quality content that aligns with AI models' understanding of user needs, as this will influence AI-generated recommendations [41]. - The potential for AI-driven "recommendation" services in e-commerce is highlighted, indicating a shift in how consumers make purchasing decisions [41][42].

微信搜索接入 DeepSeek，百度快速跟进。 腾讯回应称，搜一搜在调用混元大模型丰富 AI 搜索的同时接入 DeepSeek ，基于公众号等丰富的 微信生态内容及全网优质内容，为用户提供更全面的高质量回答。一天后，百度宣布百度搜索将接 入 DeepSeek 和文心大模型搜索功能。 受该消息影响，腾讯股价今日盘中涨幅超过 7% ，收盘时涨 3.96%，总市值 4.53 万亿港元。股价创 三年以来新高。百度今日股价下跌 6.94%，总市值 2520 亿港元。 库迪咖啡说 9.9 元价格战可持续。 微信自 2 月 15 日起开始灰度测试接入 DeepSeek-R1 模型，增强其搜索功能。灰度用户可在微信的 搜索框中点击 "AI 搜索"，并进一步选择 "深度思考" 模式，获得更全面和详细的答案。 库迪咖啡首席策略官李颖波近期透露，从 2024 年 5 月开始，截至现在，库迪公司已经实现正向现 金流即盈利，其营收主要来自服务费。他说，随着供应链的成熟，上游的采购效率越来越高，成本 会一直优化，库迪 '9.9 元' 策略可以长期坚持。此前，库迪最大的对手，开设 2.1 万家门店的瑞幸 已逐步退出 9.9 元价格战，多款 ...