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马斯克在效率部扩大对Grok的使用 引发隐私担忧 金十数据5月23日讯，据三位知情人士透露，马斯克的政府效率部（DOGE）团队正在美国联邦政府中 扩大使用他的人工智能聊天机器人Grok来分析数据，这可能违反了利益冲突法，并将数百万美国人的 敏感信息置于危险之中。这种对Grok的使用可能会加剧隐私倡导者和其他人的担忧，即随着特朗普改 组美国官僚机构，马斯克的政府效率部团似乎正在抛弃长期以来对敏感数据处理的保护。三位知情人士 中的一位了解DOGE的活动，他说马斯克的团队正在使用定制版的Grok聊天机器人。这位知情人士说， 此举显然是为了让DOGE更有效地筛选数据。"他们提出问题，让它准备报告，给出数据分析。"第二名 和第三名知情人士表示，尽管Grok尚未在国土安全部内部获得批准，但DOGE的工作人员也告诉国土安 全部官员使用它。 ...

5. 高效的公司注册与维护 特拉华州（Delaware）是美国最受欢迎的公司注册地之一，尤其吸引大型企业和跨国公司。其优势主要 体现在法律环境、税收灵活性和公司治理等方面，以下是详细分析： 1. 完善且灵活的公司法体系 《特拉华州普通公司法》（DGCL）：全美最成熟、判例最丰富的公司法体系，法律条款清晰， 法院（尤其是特拉华州衡平法院）处理公司纠纷效率高，法官专业性强。灵活的治理结构： 允许单一股东和董事（可由同一人担任）。无需召开线下股东会议，决策可通过书面同意完成。 公司章程（Certificate of Incorporation）和细则（Bylaws）可高度定制，适应不同商业需求。 2. 税收优势 无州销售税：若公司在特拉华州无实际经营（如办公场所或员工），无需缴纳州销售税。无个人 所得税：公司股东若非特拉华州居民，无需缴纳州个人所得税。免征公司所得税：若公司在州内 无业务，仅需缴纳年度特许经营税（Franchise Tax），最低为$175/年（具体取决于公司类型和股 本）。无实体存在（Nexus）避税：许多公司利用特拉华州作为"注册壳公司"，将实际业务产生的 收入归属到其他州，降低整体税负。 3. ...

很多人看到标题估计要吐槽了—— 苹果不是热火朝天推"Apple Intelligence"了么，微信不是快速接入DeepSeek和元宝了么，怎么能说它们慢呢？ 看事情不能只看表面，如果我们仔细琢磨，就能发现二者在AI层面的节奏其实和大多数人想象的要慢。 废话少说，咱们掰开了来聊—— 1 先看苹果—— 去年WWDC，苹果高调推出"Apple Intelligence"，试图告诉公众它没有在AI浪潮中掉队，而且还要用雄心勃勃地"苹果的方式"重新定义AI。 的确，苹果的风格一直是这样—— 不抢第一枪，但一旦出手往往能重新定义游戏规则，教其他同类产品做人。 但库克的意气风发并没有持续多久，在今年财报会上亲口承认AI版Siri延期，一年前画的很多饼都成了期货，"稍后推出"成了官方口径中的高频词。 而且细心的观众和科技媒体们发现，上线后Apple Intelligence第一个版本很多功能都非常鸡肋—— Genmoji这种低频需求聊胜于无，而"写作建议"实用性被批评为"噱头大于实质"，图片消除的效果甚至和美图秀秀相比都存在肉眼可见的差距。 稍微复杂一点的问题就得用户确认"是否访问ChatGPT"，而且仅支持iPhone1 ...

Core Insights - The Chinese real estate information technology industry is experiencing rapid growth, with the market size reaching 199.88 billion yuan in 2023 and projected to grow to approximately 238.69 billion yuan in 2024 [1][11]. Industry Definition and Classification - Real estate information technology refers to the use of information technologies such as the internet, big data, cloud computing, IoT, and AI to digitize, network, and automate various aspects of the real estate industry, enhancing resource allocation and service quality [2][4]. Industry Development History - The development of the real estate information technology industry in China has gone through four key stages: initial attempts at data processing, the rise of internet technology, rapid development with mature information systems, and deep integration with emerging technologies like AI and IoT [6][7]. Current Industry Status - The market size of the real estate information technology industry in China has been expanding rapidly, with significant penetration into project planning, design, construction, sales, and operations. Technologies like BIM and smart community solutions are increasingly being adopted [11]. Upstream Analysis - The software business revenue in China has shown steady growth, with a projected revenue of 13.73 trillion yuan in 2024, reflecting a 10% year-on-year increase. This growth supports the real estate information technology sector by providing advanced software solutions [9]. Downstream Analysis - Real estate development investment is significant in fixed asset investment, with a projected amount of 10,028 billion yuan in 2024, down 10.6% year-on-year. The information technology sector must innovate continuously to meet the evolving needs of real estate developers [13]. Key Companies Analysis - The competitive landscape of the real estate information technology industry is diverse and intense, with key players like Neusoft Group, Wandainfo, Vanke, and E-House leveraging their strengths in technology and services to drive industry growth [15][20]. Future Development Trends - The future of the real estate information technology industry includes trends such as full-chain digitization, industry integration and collaboration, and enhanced privacy protection measures to ensure data security and compliance [22][23][25].

Core Viewpoint - The termination of Google's Privacy Sandbox project, which aimed to phase out third-party cookies in Chrome, reflects significant industry resistance and regulatory pressures, highlighting the complexities of balancing user privacy with advertising business models [3][12]. Group 1: Background and Context - The "Facebook data scandal" in 2018 marked a pivotal moment for internet privacy, leading to a consensus on the importance of privacy security across the industry [1]. - Apple's introduction of intelligent tracking prevention in Safari in 2020 and Google's initial commitment to eliminate third-party cookies in 2021 were significant steps towards enhancing user privacy [1]. Group 2: Technical Aspects of Cookies - Cookies, developed by Netscape in 1994, serve as a means of information exchange between browsers and servers, primarily used to record user identities [5]. - First-party cookies enhance user experience by remembering login states and preferences, while third-party cookies allow advertisers to track user behavior across different websites [5][6]. Group 3: Industry Reactions and Implications - Google's decision to abandon the Privacy Sandbox project faced opposition from various stakeholders, including GitHub, the Electronic Frontier Foundation (EFF), and Microsoft, indicating widespread concern over the implications of such a move [3][9]. - The potential implementation of the Privacy Sandbox could have fundamentally restructured digital advertising by limiting advertisers' access to specific user data, thereby consolidating Google's control over user behavior insights [11]. Group 4: Regulatory Influence - The U.S. Department of Justice's antitrust actions against Google have intensified scrutiny on the company's practices, leading to concerns that the Privacy Sandbox could reinforce Chrome's market dominance under the guise of privacy protection [12].

去年秋季，在被媒体问及对于"苹果在人工智能（下文将简称为AI）技术上落后竞争对手至少两年"的看 法时，苹果公司CEO蒂姆·库克给出的回答，是苹果并不介意在某些领域不是先行者，而是更重视产品 的完善度。当时他表示，"我们在AI方面并非第一个，但我们以最适应客户的方式来做。" 事实上，"差分隐私"是一种数据收集策略，利用Hash算法、分段抽样和数学噪声注入等方式，实现尽可 能多地了解特定群体表现出的特质，同时尽量不对群体中的个体进行用户画像。简单来说，就是苹果不 会将数据与个体一一对应，而是将其与其他上亿份信息混合在一起。 比如Apple Intelligence的Genmoji表情符号功能，就允许iPhone用户使用AI来生成定制的、基于文本输入 的表情字符。在用户选择共享设备分析数据时，系统会通过随机噪声算法来收集高频指令，只有某条指 令被数百个设备同时提交后，系统才会识别，并且所有的数据都与设备ID完全脱绑。 与此同时，在训练AI模型需要的语料数据层面，苹果方面也选择了使用合成数据，而非直接采集用户 的数据。苹果在这一文章中承诺，即便用户启用设备分析计划，个人数据也会始终加密存储在本地，其 仅获取经过数学验 ...

Core Viewpoint - The article discusses the evolution and current issues surrounding CAPTCHA systems, highlighting their ineffectiveness against advanced bots and the potential security risks they pose to users [1][2][3]. Group 1: CAPTCHA's Original Purpose and Evolution - CAPTCHA, which stands for "Completely Automated Public Turing test to tell Computers and Humans Apart," was invented in the late 1990s to prevent bots from abusing website resources [2]. - Initially designed to thwart spam and fake account creation, CAPTCHA has evolved from simple text distortions to more complex image and audio tests due to advancements in bot technology [3]. Group 2: Current Challenges and Risks - Recent studies indicate that advanced bots can nearly achieve 100% accuracy in solving distorted text CAPTCHAs, while human users only manage a success rate of 50% to 84% [3]. - The increasing complexity of CAPTCHAs leads to user frustration, often resulting in users abandoning web pages altogether [3][4]. - Cybersecurity experts warn that CAPTCHA is now being exploited by hackers as a tool for scams, particularly in investment fraud schemes [2]. Group 3: Alternatives and Future Directions - New technologies are being developed to identify human users without explicit CAPTCHA tests, such as monitoring mouse movements and typing patterns, but these raise privacy concerns [3][4]. - Biometric identification and government ID scanning are considered more reliable alternatives, yet their implementation faces challenges and public resistance [4]. - The current landscape suggests that while CAPTCHA is outdated and potentially harmful, effective and secure alternatives have yet to become widely adopted [4].

心智观察所：百度少女"开盒"事件，背后的水比你 想的要深 【文/观察者网专栏作者 心智观察所】 按照孩子他爸谢广军的说法，他未成年的女儿"情绪失控下，把海外社群网站上的他人隐私信息发布在 自己的账号上，进而导致自己的个人信息也被曝光。"后据调查，开盒信息来自海外的社工库——通过 非法手段收集个人隐私信息的数据库。相关调查过程已取证，并得到公证机关公证。 综合各家媒体渠道，基本确认这个所谓的社工库就是在全球颇有影响力却屡屡陷入舆论漩涡的 Telegram。比开盒事件本身更值得关注的是，这个13岁的未成年少女能玩Telegram，而且知道从上面花 钱买隐私数据，这是一个危险的苗头，值得国内社会各界警惕。 Telegram的"黑魔法" Telegram由俄罗斯企业家帕维尔·杜罗夫（Pavel Durov）于2013年创立。杜罗夫此前曾创建俄罗斯最大 社交平台VKontakte（VK）。Telegram创立之初，就是以加密聊天和隐私保护为卖点，吸引了注重安全 的用户群体。2014年用户量达1500万，2024年突破9.5亿，2025年3月月活跃用户已经飙升超过10亿，成 为全球第二大通讯应用，仅次于WhatsApp， ...