Core Viewpoint - The Chinese government is actively promoting consumption through a series of financial measures, including the issuance of special bonds to support the "old for new" consumption policy, aiming to boost retail sales and overall economic activity [1]. Group 1: Financial Measures - The National Development and Reform Commission (NDRC) announced that the third batch of 690 billion yuan in special long-term bonds for supporting the "old for new" consumption initiative has been fully allocated, with a fourth batch of the same amount planned for October, completing the annual target of 3000 billion yuan [1]. - The NDRC will collaborate with the Ministry of Finance and the Ministry of Commerce to ensure local governments fulfill their funding responsibilities and detail the usage plans for these funds [1]. Group 2: Market Impact - In the first half of the year, the "old for new" consumption initiative has shown positive results, with sales of automobiles, home appliances, home decoration, and mobile phones reaching 1.6 trillion yuan [1]. - Retail sales of major household appliances and audio-visual equipment, cultural and office supplies, communication equipment, and furniture have seen year-on-year growth rates of 30.7%, 25.4%, 24.1%, and 22.9% respectively, contributing to a 5% year-on-year increase in total retail sales of consumer goods, which is 1.5 percentage points higher than the previous year's total [1].

Core Viewpoint - The incident at Sketch.dev highlights the hidden risks associated with AI-generated code, where seemingly correct code can introduce significant bugs due to subtle changes during code refactoring [4][5][16]. Group 1: Incident Overview - Sketch.dev experienced a series of mini outages starting on July 15, attributed to CPU spikes and slow system responses [6][7]. - The initial investigation revealed that the outages coincided with the CEO logging into the system, leading to the temporary suspension of the CEO's account [3][9]. - Further analysis traced the root cause to a logic error introduced during a large-scale code refactoring, which involved AI-generated code [13][16]. Group 2: Technical Analysis - The problematic code was a result of moving code from one file to another, where a critical change from "break" to "continue" led to an infinite loop [15][16]. - The incident exposed the inadequacies of current tools in detecting minor code changes, particularly when large modifications obscure small but significant errors [16][18]. - AI-generated code is more prone to such errors due to its method of rewriting rather than directly copying and pasting, which increases the likelihood of transcription mistakes [18][22]. Group 3: Preventive Measures - To mitigate future risks, Sketch.dev has implemented a "clipboard" feature that allows the AI to copy and paste code, aiming to preserve the original logic [23]. - The team plans to integrate more advanced code formatting tools to ensure proper indentation and structure when pasting code [23][24]. - There is a call for Git to enhance its capabilities in detecting cross-file changes, which would significantly improve error detection in AI-generated code [24]. Group 4: Broader Implications - The incident at Sketch.dev is not isolated, as other developers have reported similar issues with AI tools leading to significant operational failures [25][28]. - A recent survey indicated that 66% of developers frequently encounter AI-generated code that is almost correct, leading to increased debugging time [35][36]. - Trust in AI tools remains low, with only 3% of developers expressing high confidence in their reliability, while 46% explicitly distrust them [37][39].

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转自：新智元 编辑：定慧 好困 【导读】 当24岁的AI天才Matt Deitke拒绝扎克伯格第一次1.25亿美元的邀约时，他或许没料到 自己会成为科技巨头争夺战中的主角。最终，小扎亲自登门，将报价提高到四年2.5亿美元，第一 年即支付1亿美元，成功挖角这位AI新星。AI人才市场正如NBA巨星交易般火爆，年轻研究员们手 握亿级合同，背靠秘密顾问团与巨头博弈。 今年夏天，24岁的Matt Deitke接到了一通来自扎克伯格的电话。 显然，这份报价并不足以打动一心想创业的Deitke。 他几乎不假思索地拒绝了小扎。 不过，小扎并未就此放弃，他决定亲自出马，邀请Deitke加入他新组建的Meta「超级智能」团队。 俗话说得好，有钱能使鬼推磨。 很快，小扎便带着 「修订版的合同」 找到了Matt Deitke。 这次，薪酬包直接抬到了 4年2.5亿美元 。甚至，其中高达 1亿美元 在第一年就可领取！ 左一为Matt Deitke 电话那头，是小扎带来的足以让任何年轻人「心跳停止」的消息—— 一份四年1.25亿美元的合同 ，包 括现金与股票期权！ 然而，当时的Matt Deitke并非待价而沽。 他正热火朝天地经营着自 ...

以下文章来源于蓝点网 ，作者山外的鸭子哥 蓝点网 . 科技资讯、软件工具、技术教程，尽在蓝点网。蓝点网，给你感兴趣的内容 #安全资讯 成人性玩具制造商 Lovense 出现高危安全漏洞，借助漏洞可以接管用户账户并远程控制性玩具以及窃取私密信息。Lovense 来自新加坡，在全球拥有 2000 万名用户，其性 玩具可以通过 Lovense 配套应用进行控制，而借助漏洞可以远程控制用户账户和绑定的性玩具。查看全文：https://ourl.co/110004 来自新加坡的成人性玩具制造商 Lovense 在全球拥有超过 2,000 万名用户，不过日前该公司因为安全漏洞修复时间问题与安全研究人员发生争议，安全 研究人员已经将两枚高危漏洞完全公开。 名为 BobHacker 的安全研究人员在 3 月份发现 Lovense 的系统存在安全漏洞，在通过 HackerOne 平台反馈漏洞后获得 3000 美元的奖励，但 Lovense 要求安全研究人员提供 14 个月的时间来修复漏洞，通常情况下安全研究人员预留的漏洞修复时间是 90 天。 研究人员并不认同制造商需要长达 14 个月才能修复漏洞的说法，因此在漏洞提交满 90 ...

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微信鸿蒙版 App 7 月 28 日在华为应用市场（App Gallery）开启 1.0.9.16（1050896）版本邀 测 升 级 （ 需 收 到 短 信 通 知 后 点 击 链 接 跳 转 安 装 ， 未 收 到 短 信 需 继 续 等 待 ） ， 测 试 时 间 为 2025/7/28 - 2025/8/27。 IT之家附版本新特性如下： 2、支持更换朋友圈封面 3、支持设置朋友圈可见时间范围 4、朋友圈长图支持上下滑动查看 5、发送表情时支持搜索表情 6、视频支持静音播放 7、系统桌面支持长按微信使用扫一扫和收付款 8、一些已知问题的修复 1、「我」界面支持查看朋友圈相册 微信鸿蒙版 App 于今年 1 月正式登陆华为鸿蒙应用市场（App Gallery），已支持基础通讯、社 交、微信支付、公众号、小程序、视频号、直播等主要功能。目前，微信鸿蒙版的旗舰机型生物 识别也已全量推送，全面支持面容 / 指纹识别支付。 微信鸿蒙版的安装量已超 1000 万次。同时微信支付正式接入鸿蒙 5 收银台。使用搭载鸿蒙操作 系统 5 设备的用户，在购买数字商品（如会员订阅、游戏道具、电子书等）时，可选用微信支付 进行 ...

Core Viewpoint - The article discusses the case of Ollie Holman, a 21-year-old university student in the UK, who developed and sold phishing toolkits that facilitated global online fraud, resulting in over £100 million (approximately 950 million RMB) in losses for victims [1][6]. Group 1: Background and Activities - Ollie Holman, a student of electronic and computer engineering at the University of Kent, used his technical skills to create and sell phishing toolkits instead of pursuing legitimate programming opportunities [2]. - From 2021 to 2023, Holman designed and sold 1,052 phishing toolkits to clients in 24 countries, targeting 69 banks, government agencies, and charities [2][3]. - The phishing toolkits included comprehensive "scam toolchains" with web templates, information collection scripts, deployment guides, and technical support [2]. Group 2: Methodology and Impact - One notable case involved a toolkit that mimicked a charity's donation page, capturing users' banking information when they attempted to donate [3]. - Holman distributed these toolkits via the encrypted messaging platform Telegram and provided technical support to other fraudsters, creating a community of nearly 700 users [4]. Group 3: Legal Consequences - Despite being arrested in October 2023, Holman continued to offer support for his phishing toolkits until a second arrest in May 2024, where police found substantial electronic evidence linking him to the crimes [5]. - He was convicted on seven counts, including aiding and abetting crime and producing tools for fraud, and was sentenced to seven years in prison [6]. - The UK Crown Prosecution Service (CPS) plans to pursue further legal action to recover the £300,000 (approximately 2.88 million RMB) that Holman earned illegally [7].

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Core Viewpoint - Meta CEO Mark Zuckerberg envisions "personal superintelligence," where individuals can leverage AI to achieve personal goals, while also indicating a shift in the company's AI model release strategy to better manage associated risks [1][12]. Group 1: Shift in Open Source Strategy - Zuckerberg's recent statements reflect a significant change in Meta's approach to open source AI, moving from a strong commitment to open sourcing models to a more cautious stance on what should be open sourced [2][6]. - In 2024, Zuckerberg expressed a commitment to open source AI, stating that Meta would create a long-term sustainable platform, but by 2025, he emphasized the need for careful management of risks associated with open sourcing [2][11]. - The shift from being a "radical open source advocate" to a "cautious selective open source" approach introduces uncertainty for the future of AI open sourcing, particularly benefiting companies that remain in the open source camp, especially in China [6][9]. Group 2: Financial and Strategic Investments - Meta has invested $14.3 billion in AI, marking a departure from the default open source model, as the company focuses on developing closed-source models to enhance commercial control [11][12]. - The company is restructuring its AI division into "Meta Superintelligence Labs" and has recruited top talent from leading AI firms, indicating a strategic pivot towards closed-source development [12][14]. - Reports suggest that Meta has paused testing of its latest open source model "Behemoth" to concentrate on developing a new closed-source model, reflecting a significant strategic shift [12][13]. Group 3: Future Directions and Product Integration - Zuckerberg's vision includes integrating "personal superintelligence" into consumer products like augmented reality glasses and virtual reality headsets, positioning these devices as primary computing tools for users [14]. - A company spokesperson reiterated that while Meta remains committed to open source AI, it also plans to train closed-source models in parallel, indicating a dual approach to AI development [15].