New York City 市长 Zohran Mamdani 发起了一项重要举措，打击房东的欺诈性做法，重点针对在房源广告中使用人工智能。作为更大范围的 Rental Ripoff Report 的一部分，市府正推动一项强制性规定，要求房地产经纪人和房东在租赁信息经由 AI 工具修改或生成时予以披露，旨在提高透明度，防止潜在租户被与实际居住状况不符的图像误导。

AI 生成和编辑的图片广泛流行，问题已远超 New York City 范围。虽然有些 AI 在房源中出现的错误可能显得滑稽或怪异，但对潜在租户的现实影响往往很严重。尤其影响那些不得不远程签约的租客，例如为了工作搬迁的人，他们到达后可能会发现所租公寓与线上展示的图像完全不符。

Mamdani 市长推动信息披露的举措，源自在全市五个行政区举行的一系列 Rental Ripoff Hearings 。会上，成千上万的居民倾诉了对恶劣居住条件的无奈，如未处理的霉菌和持续的虫害问题，以及各种欺骗性营销手法。市府将拟议的透明度措施视为推动房东承担责任、确保居民获得安全且如实宣传住房的重要一步。

这项政策建议是赋权租户并改革城市住房保护体系的核心内容。市长办公室计划把这些建议与其他立法目标结合起来，例如承认 tenant unions 、扩大 bargaining rights，从而推动监管执法现代化，让居民在住房政策中有更直接的话语权。市府官员表示，目标是促成政府与公众更紧密的合作，把居民的亲身经验转化为切实的保护措施。 New York City Mayor Zohran Mamdani has launched a significant initiative to combat deceptive landlord practices, specifically targeting the use of artificial intelligence in property advertising. As part of a broader "Rental Ripoff Report," the administration is pushing for a mandate that would require real estate agents and landlords to disclose whenever rental listings have been modified or created using AI tools. This effort is aimed at ensuring transparency and preventing potential tenants from being misled by imagery that does not accurately reflect the condition of a living space.

The prevalence of AI-generated and edited images has become a widespread issue that extends far beyond New York City. While some AI errors in real estate listings can be humorous or unsettling, the real-world impact is often serious for prospective tenants. The practice is particularly harmful to those forced to sign leases remotely, such as individuals moving for new job opportunities, as they may discover upon arrival that the apartment they rented looks nothing like the digital representation presented online.

Mayor Mamdani's push for disclosure followed a series of "Rental Ripoff Hearings" conducted across the city's five boroughs. During these meetings, thousands of residents shared their frustrations regarding poor living conditions, such as untreated mold and persistent pest issues, alongside deceptive marketing tactics. The administration views the proposed transparency measures as a vital step toward holding landlords accountable and ensuring that every resident has access to a safe and honestly advertised home.

This policy recommendation serves as a centerpiece of a larger strategy to empower tenants and reform the city's housing protections. By integrating these recommendations with other legislative goals, such as recognizing tenant unions and expanding bargaining rights, the mayor's office seeks to modernize code enforcement and give residents a more direct voice in housing policy. According to city officials, the goal is to foster a better partnership between governing bodies and the public, turning lived experiences into concrete, protective actions.

Amiga Freeware Archive 是一个综合性的数字资源库，保存着 32-bit 家用电脑黄金时代的数千款软件。平台可访问的文件超过 18,000 个，涵盖游戏、应用、演示、音乐及各类开发工具。通过保存公有领域和社区团体的作品，档案馆彰显了计算机史上一个充满创造与协作的重要时期。

档案馆的核心包括一些知名的公有领域库，如 17 Bit Software 和 Fred Fish 。 17 Bit Software 总部位于 UK，发展成庞大的收藏，几乎涵盖了社区创作软件的所有角落。与此同时，美国程序员 Fred Fish 策划的合集在互联网普及前成为最受信赖、传播最广的资源，为用户持续提供大量免费程序。

除了这些主要库外，档案馆还收录了反映 Amiga 社区多样兴趣的专题收藏。像 The Assassins 和演示小组 LSD 等团体贡献了大量游戏、模块和动画。还有一些小众收藏，如 Amiga Amateur Radio User Group，服务于特定爱好者群体，说明 Amiga 不仅是游戏平台，也是一款适合专业技术用途的多功能工具。

用户群体在这一生态中发挥了关键作用，他们定期制作的磁盘系列成为本地与全国性社区的交流中心。像 Tampa Bay Amiga Group 早在 1986 年就开始发行系列磁盘，New Zealand Amiga Users Group 则通过自办的 newsdisks 建立了全国性的网络。这些收藏，以及 Southern Nevada Amiga Group 、 Miami Amigos 等地区系列，共同记录了在现代网络兴起之前分享知识与软件的草根实践。

档案馆还保存着一些独特的载体形式，比如磁盘杂志，Just Amiga Monthly 就是典型代表，多年来通过订阅提供阅读与软件服务。将这些库、 scene 团体和用户群的合集汇集于一处，Amiga Freeware Archive 确保早期爱好者的劳动成果得以被当代人发掘，并呈现出软件分发依赖实体介质与本地集体行动的时代风貌。 The Amiga Freeware Archive serves as a comprehensive digital repository for thousands of titles from the golden age of 32-bit home computing. The platform offers access to over 18,000 files, including games, applications, demos, music, and various development tools. By preserving software from the public domain and community-driven groups, the archive highlights a significant era of creativity and collaboration in computing history.

Central to the archive are well-known public domain libraries such as 17 Bit Software and Fred Fish. Based in the UK, 17 Bit Software grew into a massive collection that catalogued virtually every corner of community-created software. Simultaneously, the American programmer Fred Fish curated a collection that became the most trusted and widely distributed resource during the pre-Internet era, providing users with a steady stream of freely available programs.

Beyond these major libraries, the archive features specialized collections that reflect the diverse interests of the Amiga community. Groups like The Assassins and the demo group LSD contributed extensive compilations of games, modules, and animations. Other niche collections, such as the Amiga Amateur Radio User Group, catered to specific hobbyist intersections, proving that the Amiga was not only a gaming platform but also a versatile tool for specialized technical pursuits.

User groups played a vital role in this ecosystem by producing regular disk series that acted as a hub for local and national communities. Organizations like the Tampa Bay Amiga Group started their series as early as 1986, while the New Zealand Amiga Users Group fostered a nationwide network through their own newsdisks. These collections, alongside regional series like those from the Southern Nevada Amiga Group and the Miami Amigos, document the grassroots effort to share knowledge and software before the rise of the modern web.

The archive also preserves unique formats such as disk magazines, exemplified by Just Amiga Monthly, which provided a subscription-based reading and software experience for years. By organizing these libraries, scene groups, and user group compilations into a single accessible location, the Amiga Freeware Archive ensures that the labor of these early enthusiasts remains available for modern exploration, reflecting a time when software distribution relied on physical media and local collective action.

Hardcore IndieWeb 运动主张回归网络出版的本质，强调真正的数字独立要求对个人内容拥有完全掌控。虽然很多人通过博客服务参与 IndieWeb，但这些平台常把内容困在外部数据库或第三方服务器里。 Hardcore IndieWeb 认为，如果你的主要内容副本不在自己的硬盘上，或你的网站不是以可移植的 HTML 存储，你就无法完全掌控自己的数字身份。摒弃对复杂的内容管理系统或 SaaS 订阅的依赖，能让个人的在线存在更加安全、有韧性，不受任一托管服务状况影响。

这种做法刻意保持简洁，重现网络早期的做事方式。创作者不必依赖框架、 IDE 或命令行工具，只需用文本编辑器写作、本地预览，然后通过标准传输协议将文件上传到 Web host 。一个基本的配置只需一个 domain name 、一个简单的文本编辑器、一款支持 SFTP 的文件传输工具，以及一个低成本、按需付费的 Web host 。这样可以避免现代博客平台带来的持续开销和供应商锁定，个人网站的维护成本往往低到每天不到一分钱。

以这种方式管理网站会把工作流程变成一种手工但极富成就感的过程。把博客当作静态 HTML 页面集合来维护，包括 landing page 、单独的文章文件、 archive 和 RSS feed 。每篇文章都是电脑上的独立文件，你可以完全自由地跳出模板，为每一页设计独特的布局和风格。即便是像 Atom feed 这样的技术组件，也能通过手动创建 XML 文件并用最新文章更新来管理，确保你是数据分发的唯一掌控者。

归根结底，这是一种从几十年积累起来的企业化复杂性中夺回网络的实践。选择直接使用 HTML，便绕过了那些常常决定网站外观或功能的专有工具。尽管这种方式要求具备基本的 HTML 知识，但它带来了现代工具难以企及的创作自由与安全性。对于重视能够随时将整站迁移到新 host 的人来说，Hardcore IndieWeb 不只是技术选择，更是一种恢复早期网络出版乐趣与自主权的理念。 The Hardcore IndieWeb movement advocates for a return to the fundamentals of web publishing, emphasizing that true digital independence requires complete ownership of one's content. While many people use blogging services to participate in the IndieWeb, these platforms often keep content trapped in external databases or on third-party servers. Hardcore IndieWeb posits that if your primary copy of your content does not live on your own hard drive, or if your website is not stored as portable HTML, you do not possess full control over your digital identity. By eliminating reliance on complex content management systems or SaaS subscriptions, individuals can ensure that their presence online remains secure and resilient, regardless of the status of any hosting service.

The methodology behind this approach is purposefully simple, mirroring the early days of the web. Instead of utilizing frameworks, IDEs, or command-line tools, creators simply author content in a text editor, preview it locally, and upload the files to a web host using standard transfer protocols. A basic setup requires only a domain name, a simple text editor, an SFTP-capable file transfer tool, and a low-cost, pay-as-you-go web host. This process avoids the ongoing costs and vendor lock-in associated with modern blogging platforms, often allowing a personal site to be maintained for as little as a penny per day.

Managing a site this way transforms the workflow into a manual but deeply rewarding process. A blog is treated as a collection of static HTML pages, including a landing page, individual post files, an archive, and an RSS feed. Because each post is a distinct file on your computer, you have total freedom to deviate from standard templates and design every page to have its own unique layout and personality. Even technical components like an Atom feed can be managed manually by creating an XML file and updating it with your latest posts, ensuring that you remain the sole administrator of your data's distribution.

Ultimately, this approach is an act of reclaiming the web from the layers of corporate complexity that have built up over the last few decades. By choosing to work directly with HTML, you bypass the dependency on proprietary tools that often dictate how a site should look or function. While this method requires a foundational understanding of HTML, it provides a level of creative freedom and security that modern tools simply cannot match. For those who value the ability to move their entire site to a new host at a moment's notice, the Hardcore IndieWeb is not just a technical choice, but a philosophy of empowerment that restores the joy and autonomy of early web publishing.

Kimi K3 模型的出现标志着人工智能领域的重大转折：它在性能上能与 Claude 等行业领头羊匹敌，同时价格却低得多。在真实的编程任务中，两者在输出质量和 token 利用率上几乎没有差别。但 Kimi 的 API 成本更低，每百万输入 token 仅需 3 美元，而 Claude 要价 10 美元；Kimi 的订阅层也更慷慨，避免了其他平台常见的严格计量限制，这些限制常常让用户很快耗尽配额。

除了成本优势外，服务可用性上的差别也很明显。 Claude 等服务因经济压力不得不在标准套餐中收紧对先进功能的访问，而 Kimi 则没有这些附加条件，提供更稳定一致的体验。这使得许多位于 US 的平台的高级订阅愈发受限，无法兑现用户当初期待的旗舰模型体验。

这种差距暴露了当前 US AI 政策的一个严重问题。针对 American 模型的监管导致发布迟滞，且模型经常被设置为拒绝执行某些类别的任务。与此同时，国际实验室在发布不受限制、具有前沿水平且易于获取的模型，说明这些监管主要惩罚的是 American 客户，却未能有效阻止强大 AI 工具的全球扩散。

近期的基准测试（如 Semgrep 的测试）也印证了这一现实，显示 GLM 5.2 等开放或国际模型往往优于 American 同类产品。这在很大程度上是因为受监管的模型会回避开放模型能毫不犹豫处理的复杂任务。即便像 OpenAI 这样的公司设法在政府约束下以有竞争力的价格提供其旗舰模型，整个行业仍在为维持与这些不受束缚的竞争对手竞争所需的经济条件而苦苦挣扎。

展望未来，政府很可能会诉诸传统的保护主义手段（如补贴或关税）来应对这些挑战，但这有重蹈 American 汽车工业覆辙的风险：保护性政策可能导致国内产品缺乏国际竞争力。作者担心，未来 American 用户将被迫依赖昂贵且有政府支持、但质量低于全球标准的模型，最终使得放弃 Claude 等平台成为一种理性的选择。 The emergence of the Kimi K3 model marks a significant shift in the artificial intelligence landscape, as it performs on par with industry leaders like Claude while maintaining a drastically lower price point. In practical coding tasks, the two models produce nearly identical output quality and token efficiency. However, Kimi's API costs are significantly cheaper at three dollars per million input tokens, compared to Claude's ten dollars. Furthermore, Kimi offers much more generous subscription tiers, avoiding the strict metering that often causes users to exhaust their allowances on other platforms.

Beyond the cost savings, there is a stark difference in reliability regarding service access. While services like Claude have been forced to restrict access to their most advanced features on standard plans due to economic pressures, Kimi provides a consistent experience without such caveats. This creates a situation where premium tiers on many US-based platforms feel increasingly restrictive, effectively failing to deliver the flagship model experience that consumers originally signed up for.

This disparity highlights what appears to be a major failure in current US AI policy. Government regulations aimed at gating American models have resulted in hindered releases that frequently refuse to perform certain categories of work. Meanwhile, international labs are releasing unrestricted, frontier-quality models that are easily accessible, demonstrating that these regulatory hurdles primarily penalize American customers while failing to effectively limit the global proliferation of powerful AI tools.

Recent benchmarks, such as those conducted by Semgrep, underscore this reality by showing that open or international models like GLM 5.2 often outperform American counterparts. This is largely because the regulated models are programmed to decline complex tasks that open models handle without hesitation. Even when companies like OpenAI manage to navigate government constraints to offer their flagship models at competitive prices, the industry as a whole is struggling with the economic runway required to keep pace with these unburdened competitors.

Looking ahead, it seems likely that the government will attempt to address these challenges by resorting to traditional protectionist measures, such as subsidies or tariffs. This risks repeating the history of the American auto industry, where protective policies resulted in domestic products that lacked international competitiveness. The author fears a future where American users are forced to rely on expensive, government-backed models that are inferior in quality to the global standard, ultimately making the choice to move away from platforms like Claude a purely rational decision.

在为 Bikeshed 专栏撰稿近二十年后，Poul-Henning Kamp 回顾了自己的离任，并对自由和开源软件（FOSS）的未来提出了发人深省的预判。他把最后的思考整理成一系列旨在挑战行业既有假设的预测。其中核心是 LLM 辅助代码审查的兴起，他认为这不过是一个可以预见的经济泡沫。凭借多年使用静态分析工具的经验，他断言这些 AI 工具的实际价值有限——就像一部昂贵的电影，模型的训练成本高昂但边际收益递减，当前热潮退去后，其长期经济可行性令人怀疑。

相比之下，Kamp 认为年龄验证将成为颠覆传统 FOSS 精神的关键力量。他把当下互联网的局面归结为 tech-bro 文化主张通过加密实现绝对隐私，与感到被逼入角落的民族国家之间的冲突。随着各国推动更严格的问责和适龄访问，互联网匿名空间在收缩。 Kamp 预计，这将推动以加密手段验证的软件完整性，系统被锁定以确保合规，从而实质上终结用户自由修改和重新编译软件的时代。

数字主权的浪潮，尤其是在欧盟内部，是对 FOSS 的另一个重大压力点。 Kamp 指出，尽管欧盟给予开源某些立法上的豁免，但一旦涉及商业利益，这些保护往往就变得苍白无力。与此同时，依赖个人无偿维护者来支撑这类项目已变得不可持续，而这些项目正是现代社会的关键基础。他预言，那种由独立"仁慈独裁者"带领开发的模式正在消亡，取而代之的将是由企业管理者或政府指定实体主导、缺乏生气的委员会式项目。

总体来看，FOSS 的未来正朝着围墙花园（walled garden）式方向演进。在这种格局下，用户或许仍保有查看源代码的权利，但出于安全和问责的需要，修改或运行未经授权软件的能力很可能受到限制。 Kamp 对这一走向流露出明显的惆怅，感叹曾经那片宽阔、充满试验精神的天地正被僵化、按"健康与安全"标准审批过的环境所取代。他最后真诚地希望，自己关于 FOSS 衰落的悲观看法能被事实证明是错误的。 After nearly twenty years of contributing to the Bikeshed column, Poul-Henning Kamp reflects on his departure and offers a provocative outlook on the future of free and open source software (FOSS). He frames his final thoughts as a series of predictions designed to challenge current industry assumptions. Central to his view is the rise of LLM-assisted code reviews, which he views as a product of a predictable economic bubble. Drawing on his long-standing experience with static analysis tools, he argues that the actual value of these AI tools is limited. He suggests that, much like an expensive film production, these models are costly to train but yield diminishing returns, raising questions about their long-term economic viability once the current enthusiasm fades.

In contrast, Kamp identifies age verification as a transformative force that threatens the traditional FOSS ethos. He traces the current state of the internet to a conflict between tech-bro culture, which prioritized absolute privacy through encryption, and the reactions of nation-states that now feel cornered. As governments push for greater accountability and age-appropriate access, the opportunity for internet anonymity is shrinking. Kamp believes this shift will necessitate cryptographically attested software integrity, where systems are locked down to ensure compliance, effectively ending the era where users can freely modify and recompile their software.

The push for digital sovereignty, particularly within the European Union, serves as another major pressure point for FOSS. Kamp notes that while the EU has offered legislative carveouts for open source, these protections largely vanish the moment profit enters the equation. Furthermore, the reliance on individual, pro-bono maintainers is becoming unsustainable as these projects form the critical foundation of modern society. He predicts that the independent, benevolent dictator model of development is dying, to be replaced by sterile, committee-run projects managed by corporate stewards or government-appointed entities.

Ultimately, the future of FOSS appears to be moving toward a walled-garden model. In this landscape, users may retain the right to inspect source code, but the ability to modify or run unauthorized software will likely be curtailed to satisfy demands for security and accountability. Kamp expresses a clear sense of melancholy over this trajectory, lamenting that the wide-open, experimental spaces he once enjoyed are being replaced by rigid, health-and-safety-approved environments. He concludes by expressing a sincere hope that his grim predictions regarding the decline of FOSS as we know it will be proven wrong.

为 Claude Code 准备一台专用备用 Mac，可以构建一个安全且隔离的环境，用于人工智能驱动的研发。把代理任务迁移到不含个人数据的机器上，可以降低运行具有广泛系统权限工具的风险，同时让你充分利用 macOS 的全部能力（包括无法在容器中运行的应用），并能从主机或移动设备远程指挥代理。

准备目标机器时，先彻底清除个人数据，创建一个不绑定 Apple ID 的本地用户账户。关键配置包括启用 SSH 以便远程访问、设置无密码 sudo 以便代理能无中断执行管理任务，并将机器配置为不进入睡眠模式，确保代理持续在线并保持网络连接。

在主机与目标机之间建立无缝通信是该方案的核心。使用 SSH keys 可实现安全的免密码连接，自定义剪贴板同步脚本则方便在两台设备间传输文本和图像。对更高级的工作流，可以配置持久的 tmux 会话，并将代理的输入输出通过图形登录会话路由，此举允许代理获得与桌面交互所需的辅助功能和屏幕录制权限，从而启用"计算机使用"相关功能。

基础环境搭建完成后，可安装 Claude Code 及可选工具，如 GitHub CLI 或专用浏览器扩展。集成 Claude in Chrome 插件能显著提升代理的实用性，赋予其直接操控浏览器（如点击、表单导航等）能力，这些通常是标准"计算机使用"接口难以可靠完成的。因部分系统级权限需手动批准，你可能需短暂使用 Screen Sharing，在 macOS System Settings 中授予必要的访问权限。

若需在本地 Wi‑Fi 之外访问目标机，可接入 Tailscale 等服务，建立加密的点对点隧道，从任何地点安全连接目标 Mac，保留 SSH 和 Screen Sharing 等本地命令的便利，而不必将设备暴露在公共互联网上。

按此步骤操作后，你的备用设备即可变成一台强大、常在线且与日常工作空间安全隔离的人工智能助理。 Setting up a dedicated spare Mac for Claude Code provides a secure, isolated environment for AI-driven research and development. By moving agentic tasks to a machine without personal data, you mitigate the risks associated with running powerful tools that possess broad system permissions. This approach allows you to leverage the full capabilities of a macOS environment, including apps that cannot run in containers, while maintaining the ability to command the agent from your primary computer or mobile device.

To prepare the target machine, begin by performing a clean wipe of all personal data and creating a new local user account without an Apple ID. Essential configuration steps include enabling SSH for remote access and setting up passwordless sudo, which allows the agent to execute administrative tasks without interruption. Additionally, you should configure the machine to prevent sleep mode, ensuring the agent remains active and connected to your network indefinitely.

Establishing seamless communication between your primary machine and the target is a core component of this setup. Using SSH keys enables secure, passwordless connections, while a custom clipboard synchronization script allows you to easily move text and images between systems. For more advanced workflows, you can configure a persistent tmux session, which routes the agent's input and output through a graphical login session. This workaround is necessary for enabling computer use features, as it grants the agent the accessibility and screen-recording permissions required to interact with the desktop interface.

Once the foundational environment is ready, you can install Claude Code and optional tools like the GitHub CLI or specialized browser extensions. Integrating the Claude in Chrome extension significantly enhances the agent's utility by providing direct browser control, such as clicking and form navigation, which standard computer use cannot reliably perform. Since some system-level permissions require manual approval, you may need to briefly use Screen Sharing to grant the necessary access rights within the macOS System Settings.

For those who need access beyond their local Wi-Fi, integrating a service like Tailscale allows you to maintain encrypted, peer-to-peer tunnels to the target Mac from anywhere in the world. This remote access preserves the convenience of local commands, such as SSH and screen sharing, without exposing your machine to the public internet. By following these steps, you transform a spare device into a robust, always-on AI assistant that is both powerful and securely partitioned from your everyday workspace.

Gleam 是一门编程语言，旨在为构建类型安全且可扩展系统的开发者提供友好且易上手的体验。该项目通过强类型机制提升开发效率与系统可靠性，将自身定位为构建稳健软件的现代工具。其开发生态活跃，源代码和社区贡献托管在 Tangled 等平台上。

技术栈由多种语言混合构建，其中大部分代码以 Rust 编写。这个基础支撑着包括编译器、 Language Server 以及各类诊断工具在内的复杂工具链。开发高度迭代，持续通过更新来优化性能、改进编译器提示并提升整体开发体验，例如简化格式化和依赖管理流程。

Gleam 采用社区驱动的维护模式，而非由公司所有，项目依靠赞助商支持来资助核心团队。开放的运作方式是其核心特征，鼓励贡献者通过提交 issue 、 Pull Requests 以及在 Discord 等社区渠道参与讨论和贡献。

近期的开发重心是提升编译器的实用性与效率，包括改进错误信息以更有效地引导开发者修复问题，例如增强"你是不是想要……？"类的提示，并优化核心编译流程以更快完成格式化和代码生成。同时在安全性与集成方面做出改进，比如加强包管理的身份验证，确保 Gleam 仍然是适合生产环境的软件选择。 Gleam is a programming language designed to provide a friendly and accessible experience for developers building type-safe and scalable systems. The project emphasizes developer productivity and system reliability through strong typing, positioning itself as a modern tool for creating robust software. The language has an active development environment, with its source code and community contributions hosted on platforms like Tangled.

The technical infrastructure behind Gleam is built using a mix of languages, with Rust comprising the vast majority of the codebase. This foundation supports a complex system of tools including a compiler, language server, and various diagnostic utilities. Development is highly iterative, with constant updates aimed at optimizing performance, refining compiler hints, and improving the overall developer experience, such as streamlining formatting and dependency management.

The language is maintained through a community-driven model rather than being owned by a corporation. It relies on the support of sponsors to fund the project and its core team members. This open approach is central to its identity, encouraging contributors to participate in its growth through issue reporting, pull requests, and ongoing discussions via community channels like Discord.

Recent development efforts have focused on enhancing the compiler's helpfulness and efficiency. This includes refining error messages to guide developers toward fixes more effectively, such as improving "did you mean" suggestions, and optimizing core compiler processes to handle formatting and code generation more rapidly. Additionally, security and integration improvements, like better authentication for package management, ensure that Gleam remains a practical choice for production-grade software.

融入新的社交圈或社区，最快且最有效的办法就是亲自承担起组织活动的责任。很多人误以为社交场景会像野草一样自发长出聚会和活动，但实际上，健康的社交群体正是由那些愿意付出实际努力的人促成的。为他人创造相互联系的机会，既能弥补常见的供给不足，也能大大加速你被群体接纳的进程。

无论是小型的线上兴趣小组，还是资金充足的大型运动，普遍存在着想要社交的人多、愿意筹划的人少的现象。当你成为组织晚餐、讨论或聚会的人，很快就会成为社区的关键节点。你不再只是一个被动等待社交生活出现的消费者，而是积极构建社交网络的参与者。

人们很容易陷入消费心态，认为社区理应自动为自己提供便利。然而，促成互动所需的劳动常被普通成员低估，唯有其他组织者才能深刻体会。那些愿意承担组织重担的人很少被忽视，因为他们对群体的生存与发展至关重要。

把社交生活当成可以被消费的产品而非需要共同创造的成果，是现代社会疏离感蔓延的主要原因之一。虽然在宏观层面上改变这种参与度不足很难，但你可以从自己的圈子做起。方法其实很简单，只是需要付出努力：别再等别人为你营造想要的环境，开始自己提供社交的动力。 The fastest and most effective way to integrate into a new social circle or community is to take on the responsibility of organizing events yourself. Many people mistakenly believe that social scenes are like wild plants that naturally sprout gatherings and activities on their own. In reality, healthy social communities are the direct result of individuals putting in the necessary legwork to make things happen. By creating opportunities for others to connect, you not only solve the common problem of undersupply but also significantly accelerate your own acceptance into the group.

In most environments, from small online interest groups to large, well-funded movements, there is a consistent surplus of people looking for social connection and a distinct shortage of people willing to plan it. When you become the person who organizes dinners, discussions, or meetups, you quickly become a central node within that community. You are not just a consumer waiting for a social life to appear, but an active producer who contributes to the social fabric.

It is easy to fall into a passive, consumerist attitude, viewing community as something that should automatically exist for your benefit. However, the labor required to facilitate social interaction is often undervalued by the casual participants, even while it is keenly recognized by other organizers. Those who bother to pick up the burden of organizing are rarely ignored, as they are essential to the group's survival and growth.

This widespread tendency to treat social life as something to be consumed rather than created is a primary driver of modern social alienation. While it may be difficult to fix this lack of participation on a grand, societal level, you can address it within your own immediate circles. The solution is simple in practice even if it requires effort, which is to stop waiting for others to build the environment you desire and begin supplying the social energy yourself.

Elixir 提供一个注重速度、可靠性与可扩展性的多功能平台，适合个人开发者和大型组织。它基于 Erlang VM，可应对从单机部署到全球分布式网络的各种场景。语言强调可维护性，鼓励编写清晰、有目的性的代码，并通过不可变性与内存安全等特性，帮助构建能从故障中自我恢复的系统。

Elixir 的一大优势是面向开发者的友好生态，拥有高质量的工具链：包管理器、交互式 shell IEx 、用于快速原型的 Livebook 等。这些工具提升了开发体验，使 Elixir 长期位列最受推崇语言之列。它既能在多核 CPU 上纵向扩展，也能在集群间横向扩展，因而非常适合实时系统与大规模数据处理。

Elixir 已被广泛用于生产环境，支撑着 Discord 、 Adobe 、 Apple 、 Spotify 等公司的服务。它适用的领域很广：Web 开发、嵌入式系统、机器学习和 IoT 等。对于 Web 应用，Phoenix 框架与 LiveView 可以用极少代码实现实时功能；而 Ecto 等工具则简化了数据交互。

在机器学习与数据处理方面，Elixir 通过 Numerical Elixir (Nx) 提供高性能，支持 GPU 加速的张量计算。 Broadway 等框架通过处理并发与背压，便于应对海量事件流；Membrane 则以模块化方式构建音视频流水线。对于硬件与分布式系统，Nerves 可用于部署小巧可靠的固件，Erlang 原生的分布式支持也让互联节点的管理更为简单。

Elixir 的持续发展依靠协作社区和多个致力于开源维护的组织。在 Elixir Team 的引导下，并得到 Erlang Ecosystem Foundation 的支持，这个平台通过公司与个人开发者的贡献不断进化。随着 Hex 上社区包数量的增长，Elixir 继续维持一个灵活且日益丰富的生态，方便构建现代可扩展的软件。 Elixir offers a versatile platform designed for speed, reliability, and scale, catering to both solo developers and large organizations. Built on the foundation of the Erlang VM, it is engineered to handle everything from single-server setups to global, distributed networks. The language emphasizes maintainability by focusing on clear, purposeful code, aided by features like immutability and memory safety that help developers build systems capable of recovering from failures.

One of Elixir's primary advantages is its developer-friendly ecosystem, which includes high-quality tooling such as a package manager, an interactive shell known as IEx, and Livebook for rapid prototyping. These tools help maintain high levels of developer happiness, contributing to the language consistently ranking as a top-admired choice. Its ability to scale both vertically across multi-core processors and horizontally across clusters makes it a strong candidate for real-time systems and heavy-duty data processing.

The language has found extensive use in production across diverse industries, powering services for major companies like Discord, Adobe, Apple, and Spotify. Its adaptability is clear in the wide array of domains it supports, including web development, embedded systems, machine learning, and IoT. For web applications, the Phoenix framework and LiveView provide a path for building real-time features with minimal code, while tools like Ecto streamline data interactions.

In the realm of machine learning and data, Elixir provides high-performance capabilities through Numerical Elixir (Nx), which enables GPU-accelerated tensor computations. Frameworks like Broadway facilitate the processing of massive event streams by managing concurrency and backpressure, while Membrane offers a modular way to build audio and video pipelines. For hardware and distributed systems, Nerves allows developers to deploy compact, reliable firmware, and native support for Erlang distribution makes managing interconnected nodes straightforward.

The ongoing success of Elixir is supported by a collaborative community and a variety of organizations dedicated to open-source stewardship. Guided by the Elixir Team and supported by the Erlang Ecosystem Foundation, the platform continues to evolve through contributions from companies and individual developers alike. With a growing library of community packages available on Hex, Elixir maintains a flexible and expanding environment for building modern, scalable software.

自 2026 年 7 月 19 日起，European Union 对大型企业实施了一项里程碑式禁令，禁止销毁未售出的服装、鞋类及相关配件。该政策是 Ecodesign for Sustainable Products Regulation (ESPR) 的核心内容，旨在推动 European 经济朝更循环、更高效利用资源的模式转型。中型企业将于 2030 年起被要求遵守同样标准。

该法规的主要目标是减少因丢弃仍可使用的消费品而造成的大量原材料、能源、水和劳动力浪费。通过强制企业优先让产品继续流通，EU 希望遏制销毁新商品所带来的大量温室气体排放。根据新规，企业需优先清理现有库存，例如通过打折渠道销售、向慈善机构捐赠，或通过翻新和再利用延长商品寿命。

尽管禁令覆盖面广，但也设有有限例外：仅当商品被认定为不安全、已损坏、为伪劣品或侵犯知识产权时，企业才可予以销毁；被捐赠或慈善项目正式拒收的物品也可能获豁免。为防止滥用，这些例外须以具体证据证明，如检测报告等，且企业需公布年度报告，详细说明被销毁的库存情况。

各国主管当局负责执法，有权对不合规企业处以罚款。公司须保存五年的完整记录以备检查。为简化行政负担，European Commission 已将这些报告要求与现有的海关和物流编码相衔接；值得注意的是，小型和微型企业不在这些具体报告义务之列。

此举回应了 European Environment Agency 的警示性数据：估计每年在到达消费者手中之前，Europe 有 26.4 万至 59.4 万吨纺织品被销毁。将纺织品作为首个纳入 ESPR 监管的产品类别，European Commission 正针对这一对环境危害极大的行业采取行动。相关法规是在与非政府组织、专家和行业利益相关方广泛磋商后最终敲定，力求在环境目标与商业实际之间取得平衡。 Beginning July 19, 2026, the European Union has implemented a landmark ban prohibiting large companies from destroying unsold clothing, footwear, and related accessories. This policy is a core component of the Ecodesign for Sustainable Products Regulation, or ESPR, which was established to move the European economy toward a more circular and resource-efficient model. Medium-sized enterprises will be required to comply with these same standards starting in 2030.

The primary goal of this regulation is to curtail the massive waste of raw materials, energy, water, and human labor that occurs when functional consumer goods are discarded. By mandating that businesses prioritize keeping products in circulation, the EU aims to curb the significant greenhouse gas emissions associated with the destruction of new items. Under the new rules, companies must focus on selling existing inventory, perhaps through discounted channels, donating items to charities, or finding ways to refurbish and repurpose the goods.

While the ban is broad, there are limited exceptions. Businesses are permitted to destroy items only if they are deemed unsafe, damaged, counterfeit, or if they infringe upon intellectual property rights. Additionally, items that are formally rejected by donation or charity programs may be exempted. To ensure these loopholes are not abused, companies relying on these exceptions must provide concrete documentation, such as test results, and are required to publish annual reports detailing their discarded inventory.

Enforcement of these new standards falls to national authorities, who have the power to impose financial penalties on non-compliant businesses. Companies are expected to maintain meticulous records for a period of five years to facilitate potential inspections. To simplify the administrative burden, the commission has integrated these reporting requirements with existing customs and logistics codes, and notably, small and micro-businesses are excluded from these specific reporting obligations.

This shift comes in response to sobering data from the European Environment Agency, which estimates that between 264,000 and 594,000 tonnes of textiles are destroyed annually in Europe before ever reaching a consumer. By making textiles the first product category subject to the ESPR, the European Commission is targeting one of the most environmentally damaging sectors. The regulations were finalized following extensive consultations with NGOs, experts, and industry stakeholders to balance environmental goals with practical business realities.