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AI正在改写地图APP!这一次轮到谷歌了
量子位· 2025-10-20 11:45
这意味着,无论是餐馆推荐、路线规划,还是房产选址、旅行行程规划,AI都能基于 实时地图数据 直接回答。 一水 发自 凹非寺 量子位 | 公众号 QbitAI 谷歌这回整了个大活儿! 即日起,所有开发者可通过Gemini API调用谷歌地图工具,以便轻松将位置感知功能整合进其应用中。 简单粗暴地说,现在但凡你的应用跟"位置"沾边,Gemini都能立刻调用谷歌地图那套庞大的地理数据库——2.5亿个地点全给它接通了。 根据谷歌文档,目前支持这项功能的模型包括:Gemini 2.5 Flash-Lite、Gemini 2.5 Pro、Gemini 2.5 Flash和 Gemini 2.0 Flash (但不 包括2.0 Flash Lite) 。 而且是基于 查询次数 来收取API费用——当前费率为 每1000条有事实依据的提示25美元 ,所谓有事实依据是指至少有一个结果来自谷歌地 图。 这里需要注意,如果一次向谷歌地图发送了多个查询,则这些查询仅计为一次请求。 Okk,话不多说,直接来看这项功能都有哪些玩法—— Gemini+谷歌地图,出行规划如此简单 首先来看"谷歌宣传委员"Logan Kilpatrick的打 ...
谷歌(GOOGL.US)力争保留“Gemini+YouTube+Maps”捆绑权 回击美国司法部禁令
Zhi Tong Cai Jing· 2025-10-08 23:37
Core Points - Google is defending its bundling of popular applications like Maps and YouTube with its Gemini AI service in response to the U.S. Department of Justice's (DOJ) proposed ban, asserting that there is no evidence of monopoly power in the AI market [1] - The court has previously ruled that Google has monopoly behavior in its search and search advertising business, leading to specific remedial measures [1][3] - The DOJ is pushing for the same restrictions on Gemini as those imposed on Chrome, while Google argues that the AI industry is still developing and should be allowed to adopt similar business strategies as its competitors [3] Summary by Sections Legal Proceedings - Google's attorney stated that there are no signs of monopoly in the AI market and emphasized that the court has not classified Google Maps or YouTube as monopolistic products [1] - The DOJ's investigation into potential antitrust behavior regarding Google Maps has not led to any lawsuits during the Biden administration [3] - The judge has not yet provided a timeline for the final ruling, and the case's progress will continue to be monitored [4] Market Position - YouTube has solidified its position as the preferred television service across all age groups, with a market share surpassing that of all Disney's television networks and streaming services combined, and daily viewing hours exceeding 1 billion [2] - Google Maps holds a dominant position in the digital mapping and navigation market, boasting over 2 billion monthly active users, making it one of Google's most widely used products [2] - In contrast, Apple reported its Maps users in the "hundreds of millions" range, with over 5 million third-party applications and websites relying on Google Maps for location services [2] Business Practices - Testimonies during the trial revealed that Google imposes bundling conditions on device manufacturers, requiring them to pre-install multiple Google applications to access the Play Store [2] - The judge expressed caution regarding Google's practice of leveraging its market influence to require manufacturers to pre-install Gemini alongside YouTube or Maps, as this could enhance its AI service market advantage [3]
深度|谷歌前CEO:人形机器人或将由中国主导;世界将被廉价的中国机器人淹没,就像它将被廉价的中国电动汽车淹没一样
Z Potentials· 2025-10-03 02:09
Z Highlights 本文编译自聚焦前沿思想的对话栏目《 Imagination in Action 》在 2025 年 9 月的访谈,由系列企业家、 Link Ventures 创始人 Dave Blundin 主持,对话嘉宾为前 谷歌首席执行官 Eric Schmidt 。 中美AI竞赛:谁将胜出? Dave Blundin : 那么,我们从这个问题开始吧:美国会赢得人工智能竞赛吗?我知道您在这个话题上谈过很多次,在您与Henry Kissinger合著的新书《创 世纪:人工智能、希望与人类精神》(Genesis AI Hope and the human spirit)中也有所涉及,希望大家都会去读。那么,我们能赢得这场AI竞赛吗?我们 赢或输的场景会是怎样的? Eric Schmidt : 看起来我们会的,让我来定义一下。我认为所谓的"旧金山共识"(我这么称呼它),也就是旧金山那群人的普遍信念,客气点说就是你们 的信念是,你将看到技术从当前的智能体认知(agentic cognition)形态,通过各种形式的递归式自我改进(recursive self-improvement),最终发展到AGI ...
紧随特朗普访英步伐 谷歌(GOOGL.US)拟投资50亿英镑助力英国AI发展
Zhi Tong Cai Jing· 2025-09-16 06:19
Core Viewpoint - Google (GOOGL.US) announced a £5 billion (approximately $6.8 billion) investment in the UK over the next two years to support the development of an artificial intelligence (AI) economy [1] Group 1: Investment Details - The investment will cover Google's AI subsidiary DeepMind, which has operations in London, and will also fund AI research projects related to science and healthcare [1] - Part of the investment will focus on building a new data center in Waltham Cross to meet the growing demand for Google's services such as search and maps [1] - This investment is expected to create 8,250 jobs annually in the UK [1] Group 2: Context and Related Developments - The announcement coincides with U.S. President Trump's visit to the UK, during which he is expected to announce over $10 billion in economic cooperation projects [1] - During Trump's visit, American companies OpenAI and NVIDIA (NVDA.US) are also planning to commit to investing billions in the UK data center sector [1] - Trump's itinerary includes signing multiple agreements, including a U.S.-UK cooperation agreement aimed at accelerating the construction of nuclear power plants by both countries [1]
高德的对手是大众点评,还是服务业信任赤字?
Tai Mei Ti A P P· 2025-09-11 11:22
Core Insights - The article discusses the launch of Gaode's "Street Ranking" as a new AI-driven credit infrastructure for offline services, aiming to address the credit deficit in China's service industry [1][2][24] - Gaode's initiative is positioned not merely as a competitor to existing platforms like Meituan, but as a transformative approach to building a reliable credit system for offline services [2][24] Summary by Sections Gaode's Strategic Move - Gaode's "Street Ranking" product aims to create a new credit foundation for offline services, leveraging AI and real user behavior data [2][19] - The launch attracted over 40 million users on its first day, indicating strong initial interest [1] Historical Context - The article draws parallels between Gaode's initiative and the evolution of Alipay, which established a credit system for online transactions in 2003 [4][6] - Alipay's success in building trust in online commerce is highlighted as a model for Gaode to replicate in the offline service sector [7][25] Market Dynamics - The offline service market in China is experiencing rapid growth, with service consumption increasing from 7.2 trillion yuan to 18.3 trillion yuan from 2013 to 2024 [7] - Gaode's focus on credit innovation is seen as essential for enhancing consumer confidence and improving transaction efficiency in the service sector [24][26] Credit System Challenges - The article discusses the challenges of establishing a credit system for offline services, including issues of information asymmetry and the need for reliable consumer feedback [9][12] - Traditional review systems are criticized for their subjectivity and potential for manipulation, necessitating a more robust solution [12][13] Gaode's Approach - Gaode's "Street Ranking" utilizes AI to analyze multiple dimensions of user behavior, such as navigation and visit frequency, to create a more accurate credit score for businesses [19][20] - The integration of Alipay's credit system allows for a weighted evaluation of user reviews, enhancing the credibility of the rankings [19][21] Future Implications - The initiative is positioned as a long-term project aimed at transforming the offline service landscape in China, with expectations of significant economic potential once a reliable credit system is established [26] - The article concludes with a vision of a future where enhanced credit systems can unlock greater consumer spending and improve service quality across the industry [26]
OpenAI 董事会主席:「按 token 计费」大错特错!市场终将选择「按成果付费」
机器之心· 2025-08-09 01:30
Group 1 - Bret Taylor argues that "foundational models" represent a dead end for startups, while "long-tail agent companies" present real opportunities in the current AI landscape [2][5] - Taylor identifies three core tracks in the AI market: foundational models, toolchains, and applied AI, emphasizing that applied AI is the most promising path for startups [5][9] - The shift from traditional SaaS to agent companies will focus on delivering quantifiable business outcomes rather than just software functionalities, leading to a new ecosystem [10][11] Group 2 - The transition to an "outcome-based pricing" model is essential for AI's value proposition, as businesses prioritize results over processes [16] - Taylor highlights the importance of a strong direct sales team for B2B AI companies, especially given the separation between end-users and decision-makers [15]
他救了OpenAI、年赚过亿、三家明星CTO,却自曝跟不上AI发展了,硅谷大佬告诫:不是马斯克,就别碰大模型
3 6 Ke· 2025-08-07 10:47
Core Insights - Bret Taylor's involvement in OpenAI's crisis management highlights the complexity of decision-making in high-stakes environments, emphasizing the importance of understanding the nuances of the situation [2][3] - The AI market is expected to evolve into three main segments: foundational models, AI tools, and application-based AI, with a particular focus on the potential of AI agents [30][31][34] Group 1: Bret Taylor's Background and Role - Bret Taylor has a diverse background, having held multiple leadership roles in various tech companies, including Salesforce and Google, and is currently the chairman of OpenAI [1] - Taylor's decision to re-engage with OpenAI's board was influenced by personal reflections on the significance of the organization in the AI landscape [2] - His reputation as a "board problem fixer" positioned him uniquely to mediate the crisis at OpenAI, showcasing his ability to navigate complex corporate dynamics [2][3] Group 2: OpenAI Crisis Management - During the crisis, OpenAI employees expressed their discontent through a public letter, demanding the return of Sam Altman, which prompted a restructuring of the board [3] - Taylor's approach to resolving the crisis involved a thorough and independent review process to ensure transparency and accountability [3] Group 3: AI Market Segmentation - The foundational model market is characterized by high capital requirements, making it difficult for startups to compete, leading to a consolidation of major players [31][32] - The AI tools market, while promising, faces risks from larger infrastructure providers who may introduce competing products [33] - The application-based AI market is seen as the most promising, with a focus on AI agents that can deliver measurable business outcomes, thus aligning closely with customer goals [34][40] Group 4: Insights on Product Development and Management - Taylor emphasizes the importance of understanding user needs and creating differentiated products, as demonstrated by his experience with Google Maps [8] - The shift towards AI-driven solutions necessitates a reevaluation of traditional software development practices, focusing on system thinking and user experience [24][25] Group 5: Future of Software Development - The emergence of AI is expected to transform software development, with a shift towards code generation and system-level thinking becoming increasingly important [23][29] - The concept of "results-based pricing" is gaining traction, where companies charge based on the outcomes delivered by AI solutions, rather than traditional usage metrics [40]
他救了OpenAI、年赚过亿、三家明星CTO,却自曝跟不上AI发展了!硅谷大佬告诫:不是马斯克,就别碰大模型
AI前线· 2025-08-07 10:08
Core Viewpoint - The article discusses the complexities and dynamics within OpenAI, particularly during a crisis involving the board and the return of Sam Altman, highlighting the importance of leadership and decision-making in the tech industry [2][3][4]. Group 1: OpenAI Crisis and Leadership - Bret Taylor, a key figure in OpenAI's board, was initially reluctant to get involved but felt compelled to help after reflecting on the significance of OpenAI's impact on the AI landscape [2][3]. - Taylor emphasized the need for a transparent and fair process to address the crisis, aiming to restore trust among employees and stakeholders [3][4]. - The crisis led to a collective employee response, with a public letter demanding Sam Altman's return, indicating the strong connection between leadership and employee morale [3][4]. Group 2: AI Market Dynamics - The AI market is expected to evolve into three main segments: foundational models, AI tools, and application-based AI, with a particular focus on the potential of AI agents [5][33]. - Foundational models will likely be dominated by a few large companies due to the high capital requirements for training these models, making it a challenging area for startups [34][35]. - The AI tools market presents risks as larger infrastructure providers may introduce competing products, necessitating careful strategic planning for smaller companies [36][37]. Group 3: Application-Based AI and Business Models - The application-based AI market is seen as the most promising, with companies developing AI agents to handle specific business tasks, leading to higher profit margins [37][38]. - The shift towards AI agents represents a significant change in how software is perceived, moving from tools that assist humans to systems that can autonomously complete tasks [41][42]. - The concept of "outcome-based pricing" is gaining traction, where companies charge based on the results delivered by AI agents, aligning business goals with customer satisfaction [44][46].
别再入局大模型,除非你是马斯克?OpenAI董事长90分钟深度访谈
3 6 Ke· 2025-08-03 01:32
Group 1 - The AI market will evolve into three main segments: models, tools, and applications, with new startups in the model market facing significant challenges unless they can secure substantial funding [4][11][12] - The transition from Google Yellow Pages to Google Maps illustrates that creating entirely new experiences is more valuable than merely digitizing past experiences [4][56] - Agent technology will become a primary form of AI products, offering measurable productivity improvements for businesses, similar to SaaS models, which may yield higher profit margins [4][18][21] Group 2 - AI products should be priced based on results rather than token usage, aligning the goals of both suppliers and customers [4][29][31] - Current AI programming tools often hinder productivity due to a lack of context, necessitating a focus on root cause analysis to improve outcomes [4][33][35] - The programming landscape may require a new system that better accommodates AI capabilities, moving beyond traditional languages like Python [4][42][45] Group 3 - Successful market strategies for AI companies should align with product types, emphasizing the importance of direct sales in many cases [4][47][51] - The evolution of Google Maps from a failed local search product highlights the necessity of differentiating new products by addressing the question of why customers should use them [4][56][58]
OpenAI董事长Bret Taylor:AI市场新趋势,创业者应关注应用层
Sou Hu Cai Jing· 2025-08-02 10:48
Core Insights - Bret Taylor, Chairman of OpenAI and founder of Sierra, shared insights on the future of the AI industry and practical advice for entrepreneurs during a 90-minute interview [1] Group 1: AI Market Segmentation - Taylor identified three main segments of the AI market: frontier model market, tools layer market, and application-based AI market [2] - The frontier model market will be dominated by a few super-scale companies and large labs, making it difficult for startups to compete [2] - The application-based AI market, particularly in the Agent domain, is expected to become a primary form of AI products due to its high automation and measurable results [2] Group 2: Importance of Agents - Taylor emphasized the significance of Agents in enhancing customer experience and service efficiency, promoting a results-oriented billing model that aligns supply and demand [2] - Sierra's AI Agents have been successfully applied in various fields such as customer service, legal review, and content marketing, demonstrating substantial commercial value [2] Group 3: AI Programming and Development - Taylor noted that while AI will take on much of the software development work, human roles will shift to operating code generation machines, requiring a deep understanding of technology and business [3] - He suggested that existing programming languages like Python may not suit AI's needs, advocating for a new programming system tailored for complex systems and flexibility [3] - Entrepreneurs should not wait for foundational model advancements but should proactively design engineering solutions to realize AI's potential [3] Group 4: Product Design and Market Strategy - Taylor shared experiences from Google Maps development, highlighting the importance of creating new user experiences rather than merely digitizing existing models [3] - He advised entrepreneurs to choose appropriate market entry strategies based on product types, emphasizing the importance of direct sales to effectively reach and serve large enterprise clients [3] Group 5: AI's Impact on Education - Taylor believes AI tools like ChatGPT will promote educational equity by providing personalized tutoring for every child [3] - He cautioned parents and educators to focus on fostering children's initiative and encouraging constructive use of AI tools [3] Group 6: Entrepreneurial Insights - Taylor's insights provide valuable guidance for entrepreneurs in the AI era, emphasizing the need to stay abreast of technological trends while deeply understanding business needs [5] - Innovation and engineering design are crucial for realizing AI's potential, alongside addressing social issues like educational equity [5]