Demonstration: Running through the Memory Access Example in Jupyter notebook. ...

NotebookLM adds featured notebooks from The Economist, The Atlantic and others | TechCrunch https://t.co/RhXJgWvmFe ...

RT Economist Press (@EconomistPress)NEW: The Economist signs its first AI-focused deal with NotebookLM“This is the first AI-focused partnership @TheEconomist has signed and we are excited for NotebookLM users to explore a selection of articles from The Economist’s annual special issue, The World Ahead 2025."Read more here: https://t.co/tWVscznTPQ ...

来源： Sequoia Capital Inference Z Highlights: 10. 根据交付价值定价并货币化 • 超越基于席位或原始使用量的定价。将定价与您的 AI 实现的具体业务成果相结合，无论是工作流程完成度、可衡量的节省还是战略影响。这种方法能够 更好地体现您创造的真正价值。 ￮ Amit Bendov/Gong （第 46 集）：价格基于交付的价值，而不是席位。 ￮ Manny Medina/Paid （第 39 集）：制定策略来提高定价成熟度曲线，使定价与客户价值保持一致。 ￮ Clay Bevor/Sierra （第 11 集）和 Bret Taylor/Sierra （第 43 集）：将定价模型与客户价值和购买流程相结合。 ￮ Joe Spisak/Meta ， Llama （第 7 集）：价值从模型开发转向应用和定制。 9. 开发可靠性和规模化的强大基础设施 • 任务关键型 AI 需要企业级基础架构 —— 状态管理、可观察性、安全性和可扩展性。将可靠性视为一流的工程问题，并进行全面的测试、监控和系统性错 误处理。 ￮ Sridhar Ramaswamy/Snowflake （第 1 ...

Asia Tech Hardware Equities PC early pull-in peaked; ASIC server shipments to accelerate in 2H25 PC and server ODMs' June monthly sales review: The major PC ODMs saw a strong pull-in in June (up 22% MoM, 9% YoY) with 2Q25 ODMs' notebook shipments up 11% QoQ, higher than the previous ODMs' 2Q25 guidance of a 5-10% increase. On the other hand, we also saw better than expected shipment growth in ASIC servers in June. Wiwynn's 2Q25 revenue of TWD220bn was up 29% QoQ, 185% YoY, above HSBCe/market consensus by 26 ...

以下文章来源于极客公园 ，作者Li Yuan 极客公园 . AI数学家靠刷题 用极客视角，追踪你最不可错过的科技圈。欢迎同步关注极客公园视频号 本文来自微信公众号： 极客公园 （ID：geekpark） ，作者：Li Yuan，编辑：郑玄，原文标题： 《从 AI 高考聊到人类未来｜张鹏×潘乱×张一甲 对谈实录》，题图来自：AI生成 高考季刚刚过去。 人类的高考结束了，其实AI的高考也刚刚结束。极客公园对多款主流大模型的高考水平做了一次测 评，结果相当震撼：AI已经能够轻而易举地考上985重点大学。字节跳动Seed团队对豆包大模型1.6 最新版的测试成绩，甚至可以达到清华、北大的录取水平。 AI的进步让人兴奋。但对于人类而言，也不免有些沉重： 当AI已经发展到能考上清北，考试成绩远 超人类的平均水准，那寒窗苦读的学子们，未来该如何定义自己的价值？ 这成了一个值得认真讨论 的话题。 7月3日，在极客公园《今夜科技谈》栏目，极客公园创始人张鹏与"乱翻书"主理人潘乱、甲子光年 创始人兼CEO张一甲，从AI在高考中展现出的能力聊起，一路聊到教育、家长能做些什么，聊到人 类的价值和社会公平。 不聊技术，不聊产品，他们更想 ...

Core Insights - The current era is characterized by rapid advancements in AI technology, allowing a few individuals to create significant value for many [2][22] - The concept of "AI Native" products emphasizes building new relationships between AI capabilities and users, rather than merely creating new tools [7][11] - The AGI Playground serves as a platform for collaboration among innovators in the AI space, fostering connections and future possibilities [3][4] Group 1: New Goals of AI Native Products - The core focus of AI Native products is to establish new relationships between AI capabilities and users, rather than just creating new tools [7][11] - System prompts play a crucial role in defining the relationship between AI and users, indicating a shift towards a more interactive and relational approach [8][10] - Successful AI products define their identity and relationship with users at the outset, moving beyond traditional tool-user dynamics [12][13] Group 2: New Challenges in AI Native Products - Emotional intelligence has become a critical aspect of product design, as AI products now need to manage user relationships effectively [17][19] - Creating a sense of "life" in AI products enhances their relational capabilities, allowing for deeper user engagement [20][21] - The shift towards relationship-focused products introduces new challenges in understanding and managing user interactions [16][18] Group 3: New Opportunities from Relationships - New relationships between AI and users create opportunities for mixed-value delivery, combining functional and emotional benefits [24][25] - The blending of digital and physical experiences is essential for delivering higher value, as seen in products that integrate hardware and software [30][32] - The evolving nature of user relationships may lead to new distribution channels for services, moving away from traditional platform-based models [38][39] Group 4: New Pipeline for AI Native Products - The new pipeline for AI Native products involves broad input and liquid output, focusing on proactive data sensing and flexible delivery [52][63] - Broad input emphasizes the need for diverse data sources to enhance understanding and value delivery [53][55] - Liquid output encourages a collaborative journey with users, allowing for iterative feedback and engagement throughout the process [64][67] Group 5: New Value Models in AI Native Era - The value model for AI Native companies has shifted from a flat, two-dimensional approach to a three-dimensional model that incorporates AI capabilities [77][79] - Successful companies must consider both user needs and AI requirements in their product engineering to maximize value [75][76] - Traditional metrics for measuring value, such as user count and revenue, may no longer suffice in the AI Native landscape [78][80] Group 6: Future Considerations - The evolution of product economics and management practices is necessary to adapt to the changing landscape driven by AI [83][88] - New business models and growth strategies must be explored, including innovative payment structures and value exchange mechanisms [85][86] - The relationship between productivity and organizational structure will continue to evolve, necessitating a rethinking of traditional management principles [88][89]

Group 1 - The article discusses how AI is transforming learning methods, emphasizing that traditional learning approaches are being redefined in the AI era [6][48]. - It highlights the practical applications of AI in learning, such as real-time problem-solving and efficient information filtering [8][17]. - The article presents five effective learning methods utilizing AI, including hands-on learning, AI filtering, AI integration, AI translation, and AI digestion of complex content [7][40]. Group 2 - The first method, "learning by doing," is noted for its popularity but is criticized for its inefficiency without proper guidance [9][14]. - AI's ability to filter out low-quality information is crucial in an era of information overload, allowing users to access high-quality content more effectively [17][21]. - The integration of AI tools, such as ChatGPT O3 and Dia browser, enhances the learning experience by providing detailed answers and summarizing content from multiple sources [15][16]. Group 3 - AI's role in language translation is emphasized, enabling users to overcome language barriers and access foreign academic papers and technical documents [36][38]. - The article suggests that the importance of note-taking has increased, as AI can help connect insights from personal notes, potentially leading to the creation of high-quality content [32][33]. - The conclusion stresses that AI not only changes how knowledge is acquired but also empowers individuals to become knowledge creators rather than mere consumers [49][50].

Group 1 - The recent 618 shopping festival showcased the increasing appeal of live-streaming sales, with former top streamers either attempting to transition or exploring comebacks [1] - Notably, the digital persona of Luo Yonghao, in collaboration with Baidu, generated significant sales, achieving a GMV of 50 million in just four hours during a live stream [1] - The AI-generated script for the live stream was extensive, totaling 97,000 words, and the digital persona executed 8,300 actions, demonstrating advanced capabilities in content delivery [1] Group 2 - Viewers reported that the digital persona effectively replicated Luo Yonghao's style, providing a natural interaction experience during the live stream [4] - The rise of digital personas is prompting live-streaming teams to consider their implementation, as they can mitigate risks associated with human hosts, such as emotional instability and unpredictable behavior [4] - Innovations in AI, such as Google's NotebookLM and the AI podcast feature from Doubao, are enhancing content creation efficiency, allowing for more cost-effective presentation methods [4] Group 3 - The use of digital personas may reduce the workload for live-streaming teams, as noted by industry professionals [5] - However, there is a belief that AI's impact will primarily affect those who lack substantial content and personal expression, while dedicated content creators will remain unaffected [5] - Luo Yonghao's unique selling point lies in his spontaneous humor and live interaction, which may not be replicated by the digital version of himself [5]

good trajectory...Similarweb (@Similarweb):Google's AI domains are thriving.Month-over-month traffic growth in May:@GoogleDeepMind: 4,258,300 → 11,189,832 (+162.78%)@GoogleLabs: 9,796,459 → 19,792,943 (+102.04%)@GoogleAI: 1,349,027 → 2,042,165 (+51.38%)@NotebookLM: 48,340,200 → 64,906,295 (+34.27%)@GeminiApp: https://t.co/fNCFNi1JTS ...