智通财经5月2日电，谷歌将在实验室外测试AI搜索模式。 ...

Core Viewpoint - The US Department of Justice (DOJ) is pursuing legal action against Google, alleging that the company is illegally maintaining its dominance in the search engine market, with potential remedies including the sale of its Chrome browser [1][2][3]. Group 1: Legal Proceedings - The hearings began on April 22 and are expected to last three weeks, with the DOJ advocating for Google to divest key assets [1][2]. - Judge Amit P. Mehta is presiding over the case, having previously ruled that Google illegally maintained a monopoly in search [5][6]. - The DOJ's opening statements emphasized that Google should be compelled to assist rival search engines that it has unfairly excluded from competition [3]. Group 2: Market Impact - Google currently holds over 89% of the global search engine market share, a slight decrease from 91% last summer [7]. - The case could significantly alter how tech companies operate and how users conduct online searches [2][12]. - Several tech companies, including OpenAI, Perplexity AI, and Yahoo, have expressed interest in acquiring Chrome if mandated by the court [2][9][11]. Group 3: Potential Outcomes - Possible outcomes for Google include a breakup of the company, which could involve separating the Chrome browser or Android operating system [12][13]. - The DOJ aims to prohibit Google from exclusive agreements that establish its search engine as the default on devices and browsers [12]. - This case marks the first significant attempt to dismantle a company for illegal monopolization since the failed breakup of Microsoft two decades ago [13][14]. Group 4: Broader Context - Other major tech companies, such as Apple and Amazon, are also facing antitrust lawsuits, indicating a broader scrutiny of the tech industry [14]. - The hearings reflect a changing political landscape, with implications for the future of artificial intelligence and its intersection with market competition [14][15].

作者：yongxin 编辑：Siqi Agentic AI 的 3 要素是：tool use，memory 和 context，围绕这三个场景会出现 agent-native Infra 的 机会。 01 . 为什么 Search API 很重要 按照场景和信息需求类型，搜索行为大致可以被分为四类： • 第一类，高频快速查询， 指的是一两步内就能完成的查询。Google 大部分的 query 还是以几个单词为 主，用户得到答案后马上离开，不会进行深入的查询。对于这类查询 Google、Bing 还是最好的应用，新 玩家几乎没有挑战的机会。 • 第二类，研究性质的深入查询， 用户可以和搜索工具反复交流，获取知识。这一类搜索是 LLM 和 LRM 带来的新场景，对应的代表性产品形态分别是 Chatbot 和 Deep research。 Agent 所获取到的信息质量是 agent 推理的起点，虽然 LLM 带来了 perplexity 为代表的 AI answer engine，提供了完全不同于传统搜索引擎的体验，但这些产品仍旧面向的是人类用户，产品逻辑是围 绕人类行为设计的。 在我们 MCP 的研究中发现， ...

Google has reported the results of an experiment it ran which removed news from search results for 1% of users for 2.5 months in eight* markets in Europe — claiming the results show that news is essentially worthless to Google’s ad business. The search giant conducted the test because European copyright law requires it to pay news publishers for reusing snippets of their content. But how much is displaying news worth? Google argues that publishers “vastly overestimate” the value of their journalism to its b ...

在信息爆炸的时代，搜索引擎早已成为知识工作者和普通人获取专业信息的关键入口。然而，传统搜索引擎以关键词匹配为核心的模式，正在面临前所 未有的挑战。 2025年2月28日，夸克AI搜索推出"深度思考"，这是夸克基于阿里通义千问基模开发的推理模型，擅长迅速思考，可信、时效性强。这不仅 仅是一次功能升级，更是对搜索引擎本质的重新定义，标志着AI搜索时代的正式到来。 认知革命：从关键词匹配到意图理解 传统搜索引擎如百度，长期以来依靠关键词匹配和网页排序算法工作。当知识工作者需要检索 " 数据驱动决策的最佳实践 " 时，传统搜索引擎会返回包 含这些关键词的网页列表，用户需要自行筛选、整合信息，这种 " 找寻式 " 体验已无法满足专业人士的高效需求。 相比之下，夸克的 " 深度思考 " 彻底改变了这一范式。 它不再局限于简单的信息匹配，而是通过模拟人类的 " 系统二思维 " （即慢思考模式），深入理 解专业问题的本质和语境，进行多步骤推理，最终提供一个综合、深度的解答 。 例如，当一位产品经理询问 " 如何设计更符合 Z 世代用户习惯的社交产品 " 时，传统搜索可能返回数十篇相关但分散的文章，而夸克 " 深度思考 " 则 ...