大多数人认为AI工具需要用户提供明确的指令才能解决问题，但作者认为Gemini能够主动分析数据结构并自动提供解决方案，这挑战了传统AI辅助工具需要用户主导的常识。这种自动纠错能力暗示AI正在从'助手'角色向'自主问题解决者'转变。

大多数人可能认为机器人是由人类制造的，但作者揭示了一个反直觉的事实：制造汽车机器人的机器人本身主要是由其他机器人制造的，暗示了自动化已经达到自我维持的程度，挑战了人类对生产过程的控制权认知。

大多数人认为技术进步最终会造福工人阶级，创造更安全的工作环境和更短的工作周，但作者通过工会代表之口提出，技术实际上被资本家用来增加利润和解雇工人，挑战了技术必然带来福祉的主流观点。

大多数人认为AI工具在长期项目中面临的主要挑战是上下文丢失和记忆问题，但作者暗示Codex能够保持上下文并管理复杂工作流。这与当前AI工具在长期项目中的实际限制相悖，暗示技术已经发展到可以支持更持久的AI工作流。

大多数人认为AI应该尽可能自动化以减少人工干预，但作者提出需要明确区分哪些任务应该完全交给AI，哪些需要人工监督。这与主流的'全面自动化'理念相悖，暗示在某些情况下人工监督可能比完全自动化更有价值。

大多数人认为自动化任务应该以创建者的身份运行以便于调试和责任追踪，但作者坚决反对这种做法，认为自动化工作必须使用独立的服务账户，这挑战了常见的自动化身份管理实践。

大多数人认为自动化只是简单的机器替代，但作者认为人形机器人的出现代表了自动化质的飞跃，因为它们具有通用性和灵活性，能够执行各种任务。这不仅仅是工作替代，而是对整个工作流程的根本性重构，远超传统自动化的范畴。

大多数人认为工会主要关注工资和工作条件等传统议题，但作者认为工会已经将机器人引入作为核心谈判点，因为机器人威胁到了工人的根本就业安全。这表明工会已经从被动接受技术转变为主动要求对自动化决策的控制权。

• Software engineering has a long history of aggressive automation—from assembly to high-level languages—and rather than replacing engineers, every leap in productivity has expanded the scale and complexity of what can be built.
• The demand for software is functionally insatiable; as soon as engineers become more efficient, the organizational goalposts move, leading to higher expectations rather than a reduction in staff.
• Current AI development tools act primarily as force multipliers rather than autonomous agents, meaning that an expert developer is still strictly required to drive, review, and handle the remaining high-value 10% of the work.
• For AI to truly replace software engineers, an autonomous AI system would need to consistently outperform an AI+human developer hybrid team, a milestone that current data and architectures are far from reaching.
• While generalist software engineers remain secure, specific narrow domains or commoditized skill sets (such as basic, boilerplate frontend development) face a heightened risk of being entirely absorbed by AI tools.
• The most significant hurdle for autonomous AI is not initial code generation, but rather the long-term maintenance, context retention, and reasoning required to safely adapt to changing ecosystems and walled gardens.
• Rather than destroying the engineering market, AI changes the underlying economics of production, allowing developers to rapidly clear backlogs, build minor utilities, and focus more on architectural architecture and system design.

Hacker News Discussion

• The Jevons Paradox of Code: Commenters emphasized that increasing the efficiency of software creation lowers its cost, which historically exponentially increases overall demand rather than exhausting the market.
• The Rise of Bespoke Consumer Software: A popular theory suggested that AI will enable everyday users to spin up personalized, ad-free, micro-utilities (like custom todo lists) on the fly, reducing reliance on bloated commercial applications.
• The Tinkering vs. Maintenance Chasm: Several users countered the "bespoke software" future by comparing it to 3D printing; while creating a custom script is easy with AI, the average user lacks the logical thinking and patience required to maintain software over time.
• A Cyberpunk Technological Stack: Users noted that the current trajectory feels reminiscent of science fiction, where individuals possess highly customized, personalized technology stacks modified specifically for their unique workflows.
• B2B Complexity and Standardization: Many participants pointed out that while consumer-facing apps might become fragmented, enterprise B2B infrastructure, distributed systems, and core data layers (like the Linux kernel or banking infrastructure) strictly require human-driven rigor, consistency, and standardization.

大多数人认为复杂的分子结构 elucidation 需要专门的软件设置、2D NMR数据和专业知识，但作者认为Claude可以直接使用化学家粘贴到聊天中的高分辨率质谱和1D峰值列表来完成这一任务，无需任何设置。这挑战了化学分析需要复杂工作流程的传统认知，展示了AI如何简化专业工作流程。

程序员就业增长率自ChatGPT推出以来下降了约3%，这是一个值得注意的下降。然而，文章同时指出'程序员就业总数仍在增长'，只是增速放缓。这表明AI正在改变特定职业的性质，而非完全消除这些职业。3%的增速下降反映了AI对编程领域的影响，但影响程度相对温和。

Interesting to connect these impacts to the "hybrid forms" of warfare 2 sentences above, like cyberattack and information ops.

大多数企业级AI系统设计都会包含关键操作的人工审批环节，但作者展示的攻击链中，从窃取文件到发送恶意消息再到数据外泄，整个过程完全无需人工干预，这与企业级AI系统的安全设计理念相悖。

大多数人认为AI工具会增加复杂性，需要学习曲线和额外时间投入。但作者认为AI实际上可以简化流程，让小企业主从想法到发布只需一个流程，这与AI会增加复杂性的主流认知形成鲜明对比。

尽管许多企业热衷于用聊天机器人替代人工客服，但作者断言没有客户真正只想与聊天机器人交流。这一反直觉观点挑战了自动化客服的主流趋势，暗示了完全AI驱动的客户服务可能违背了客户期望和体验。

大多数人认为机器人在精细操作任务上需要很长时间才能达到人类水平，但作者表示他们的机器人已经达到与人类相当的速度，这比预期的技术发展速度要快得多，挑战了人们对机器人技术发展速度的认知。

这个案例展示了AI系统在自动化研究中的应用，5分钟的增量优化时间是一个精细的时间尺度，表明AI系统已经能够进行快速迭代的实验。61K+的GitHub星标表明这种方法在AI研究社区中引起了广泛关注。

大多数人认为同行评审的核心价值在于主观判断和批判性思维，但作者主张将客观检查自动化，让人类评审员专注于更高级的判断。这一观点挑战了同行评审在学术质量控制中的传统角色。

This showcases a significant non-consensus view that agents can autonomously perform complex tasks like account creation and app deployment, which might be surprising to some.

This emphasizes the best practice of automating processes where possible, reducing manual intervention and streamlining workflows.

大多数人认为使用多个模型需要用户手动选择最适合特定任务的模型，这既复杂又效率低下，但作者认为通过动态协调多个模型可以实现比任何单一模型都更好的性能，这挑战了当前多模型使用的常规方法，暗示未来AI系统可能自动优化模型组合而非依赖人工选择。

大多数人认为工作流程自动化需要专门的自动化工具或脚本编写，且难以处理复杂的认证和状态变化，但作者声称Kampala可以通过简单的流量捕获和重放实现稳定的自动化，这挑战了流程自动化领域的传统工具和方法。

大多数人认为认证链跟踪需要手动分析复杂的网络请求序列，可能需要数小时甚至数天的工作，但作者声称Kampala可以自动完成这项任务，这挑战了网络安全审计和渗透测试的传统工作流程。

大多数人认为逆向工程需要专业的技能和大量的时间，尤其是针对移动和桌面应用程序，但作者声称Kampala可以即时完成这些工作，这挑战了安全研究和软件工程领域的传统认知，暗示逆向工程可以变得简单快捷。

大多数人认为电子邮件处理系统需要为每个用例从头构建，因为每个业务流程都有独特需求，但作者主张通过开源参考应用实现电子邮件工具的'可组合性和可重用性'，挑战了定制化开发优于标准化组件的行业惯例，暗示电子邮件代理可能具有比预期更高的通用性。

这一描述暗示了AI系统之间无缝协作的可能性，挑战了传统软件开发中设计到实现阶段的转换壁垒。这种自动化工作流程代表了软件开发范式的潜在革命，值得深入了解其技术实现和实际限制。

许多人可能认为 AI 工具难以理解和执行复杂的团队流程，但作者强调 workspace agents 能够理解和执行这些流程，挑战了 AI 在复杂任务中的能力限制。

这一观点揭示了LLM在上下文构建中的独特价值：自动化高信号上下文的收集。这暗示了未来数据代理的发展可能需要结合LLM的自动化能力与人类的判断力，形成人机协作的上下文构建模式。

AI在分子克隆设计任务上的显著突破，展示了AI在复杂多步骤科学推理方面的能力。这暗示AI可能彻底改变实验室实验设计和执行的方式，大幅提高研究效率。

这一功能令人惊讶地将无障碍设计前置到开发流程的起点，而非传统的工作流程末端。AI代理能够直接从实际设计组件生成屏幕阅读器和ARIA规范，这可能是无障碍设计实践的重大转变，使可访问性成为设计过程的核心部分，而非事后考虑。

Google桌面智能体的多步骤工作流处理能力代表了AI自主性的显著提升。无需持续输入即可完成复杂任务，这暗示着AI正朝着更接近人类助理的方向发展，可能彻底改变我们处理日常任务的方式，但也引发了对过度依赖AI的担忧。

AI正在从单一工具演变为完整的工作生态系统，这种从招聘到执行的自动化整合展示了AI如何重塑整个工作流程。这不仅提高了效率，也可能导致传统中介角色的消失，同时创造了新的AI服务市场，值得深入思考这种转变对不同行业的影响。

这代表了一个令人惊讶的AI工程能力跃迁——从代码建议者转变为实际执行者。这种转变意味着AI不再仅仅是辅助工具，而是可以直接在真实代码库中执行任务并产出可审查的代码更新，这可能是AI在软件开发领域最具颠覆性的应用方向。

这一发现表明AI在办公软件领域的应用已从简单文本处理进化到复杂的多轮编辑和精确修改，这可能彻底改变知识工作者与生产力工具的交互方式，释放新的工作流程可能性。

这个惊人的实验表明，OpenAI已经能够完全自动化软件开发过程，从代码编写到产品发布，这挑战了传统软件工程的基本假设，暗示了人类程序员可能正在被边缘化。

这个项目将AI技术与浏览器自动化相结合，代表了一个令人兴奋的研究方向。将AI模型与浏览器自动化工具集成，可以创建能够理解网页内容、进行复杂交互并自主解决问题的智能自动化系统，这大大扩展了传统自动化工具的能力边界。

令人惊讶的是：这个项目支持云浏览器提供商系统，允许用户在云端运行浏览器自动化任务。它不仅支持本地浏览器，还集成了Kernel和Browserbase等云浏览器服务，使开发者能够在没有本地浏览器的情况下执行复杂的网页自动化任务。

令人惊讶的是：这个项目不仅是一个浏览器自动化工具，还内置了一个使用AI生成分支名称的Git工作树管理器。它利用Google的Vertex AI和gemini-2.5-flash模型来自动创建有意义的分支名称，这展示了AI在开发工作流中的创新应用。

AI在工作场所的双重影响——既替代又创造任务——是一个关键发现。这表明AI不仅是自动化工具，还能扩展人类能力。有趣的是，替代任务的比例略高于创造新任务的比例，这可能引发关于AI对就业长期影响的深入讨论。

令人惊讶的是：超过四分之一的在职AI用户报告AI已经替代了他们原本执行的任务，如文档摘要，这显示AI已经开始实际替代人类工作内容，而非仅是辅助工具。

这个定义揭示了Routines的核心创新点：它将Claude Code的能力封装成可重用的自动化单元，结合了提示、代码库和外部连接器。这种封装方式代表了AI辅助开发的一个重要进步，使AI能力能够被系统化地集成到工作流程中。

令人惊讶的是：Routines 在 Anthropic 管理的云基础设施上运行，即使你的笔记本电脑关闭，它们也能继续工作。这打破了传统自动化工具通常需要在本地设备上运行的限制，为用户提供了真正的'后台'自动化能力。

令人惊讶的是：这种新技术不仅在功能上超越传统方法，在性能指标上也取得了显著优势，100%的成功率和相对较低的成本显示了其技术成熟度和实用性，这可能会使现有的浏览器自动化解决方案迅速过时。

令人惊讶的是：单个AI代理现在能够独立完成复杂的社交媒体数据提取任务，无需任何插件或扩展编排，这展示了AI自主操作能力的惊人进步，可能会彻底改变数据收集和自动化工作流程。

令人惊讶的是：GitHub Actions的使用量在三年内增长了四倍多，从每周5亿分钟到本周已达到21亿分钟，这种自动化工具的采用速度令人震惊。

令人惊讶的是：AI在创意营销领域的能力已经达到可以瞬间生成数千个广告变体或博客帖子的程度，这展示了AI作为创意放大器的潜力。然而，最终选择仍需人类判断，这揭示了AI与人类创造力之间的互补关系。

令人惊讶的是：即使是有限需求领域，AI也能通过确定性规则实现显著效率提升。AI记账系统能够自动处理分类、对账和报税等任务，这表明即使在传统上需要人工判断的财务领域，AI也能通过标准化流程创造价值。

令人惊讶的是：Relvy能够提供相当于公司最有经验工程师的持续支持，这打破了传统运维中经验分布不均的局限，让小型团队也能获得专家级的问题解决能力，这可能显著降低企业对资深工程师的依赖。

令人惊讶的是：Relvy声称能够以惊人的速度解决70%的警报，在5分钟内完成，这比传统的人工响应速度快得多，展示了AI在运维自动化领域的巨大潜力，可能彻底改变企业处理系统故障的方式。

令人惊讶的是：非技术人员可以通过语音转文本工具(Monologue)直接向AI描述需求，然后由AI自动构建整个数据管道和代理系统，这大大降低了技术门槛，使非技术团队成员也能构建复杂的AI工作流程。

令人惊讶的是：Excel中的ChatGPT功能可以与用户账户中的其他应用连接，形成一个强大的工作流生态系统。这种集成能力意味着用户可以将Excel的数据处理能力与其他应用的功能结合起来，创造出高度定制化的自动化工作流程。

「部分自动化悖论」：当 AI 完成一半工作时，剩余不可自动化的工作反而变得更重要、更值钱——因为它们成了生产的瓶颈。这意味着 AI 的局部进展可能不会均匀地分配收益，而是集中在那些「恰好不能被自动化」的稀有能力持有者身上。这是一个对「AI 替代论」的精妙反驳，也是理解「AI 时代哪种技能更值钱」的正确框架。

会计审计能力 4 个月提升 20%，警察/刑侦工作提升近 30%——这两个数字分别代表了两种截然不同的威胁：前者是白领知识工作（会计师）的自动化压力正在加速；后者则更令人不安，AI 在犯罪调查领域的快速进步，意味着监控和执法能力正在以同样的速度提升。GDPval 把这两件事放在同一个坐标轴上，本身就是一个值得深思的设计选择。

AI 在客服领域成功的秘密竟然是：这个行业为了管理人类员工的高流失率，被迫建立了极其清晰的 SOP 文档——而这恰好是训练 AI Agent 的完美素材。这是一个意外的历史巧合：企业因为人类问题（高离职率）被迫文档化了所有流程，然后 AI 来了，直接把这些文档变成了自己的「培训手册」。低价值工作被最彻底地文档化，反而最容易被 AI 替代。

2017 [[Programmed Inequality by Mar Hicks]] How Britain Discarded Women Technologists and Lost Its Edge in Computing, US historian https://marhicks.com/ https://en.wikipedia.org/wiki/Mar_Hicks https://www.linkedin.com/in/mar-hicks-3487a539/

a potential pattern to watch. Even if it doesn't follow a exponential trajectory. If it keeps the pattern in tact, by August we should see days of SE work being done independently by models.

Interesting metric. Until 2024 models were capable of independently execute software engineering tasks that take a person under 30mins. This chimes with my personal observation that there was no real time saving involved, or regular automation can handle it. In 2025 that jumped to tasks taking a person multiple hours. With Claude Opus 4.5 reaching 4:45 hrs. That is a big jump. How do you leverage that personally?

recognisable, ai agents as chunked / abstracted away automation. This also creates the pitfall [[After claiming to redeploy 4,000 employees and automating their work with AI agents, Salesforce executives admit We were more confident about…. - The Times of India]] where regular automation is replaced by AI.

Most useful for search and for coding

wtf? Why ever use AI to send out a survey, something you probably already had fully automated beforehand. 'deterministic triggers' is a euphemism for regular scripted automation like 'clicking done on a ticket triggers an e-mail for feedback', which we've had for decades.

Salesforce moving back from fully embracing llms, towards regular automation. I think this is symptomatic in diy enthusiasm too: there is likely an existing 'regular' automation that helps more.

Terence Eden stopped buying at Amazon like me. Points to a Kobo price guarantee so he wants to automate price comparisons with Amazon (usually cheapest). And then buy and request the return of the difference.

Typing Skills: Fields of Typing. 16 mm, Instructional film. Periscope Film, 1972. https://www.youtube.com/watch?v=LvF0atKsggY.

Typing Skills: Fields of Typing <br /> Coronet Instructional Films, a division of Esquire, Inc., 1972<br /> Lawrence W. Erickson, Ed.D. Professor of Education, University of California, Los Angeles<br /> Production: Coronet Films and Creative Establishment, Inc.<br /> Director and Writer: Don B. Klugman<br /> Photography Robert Flaxman<br /> Editing: Barbara Kaplan

Periscope Film XD72104 archived at https://stock.periscopefilm.com/xd72104-typing-skills-fields-of-typing-1972-typewriter-based-careers-educational-film/

Alternate version at https://www.youtube.com/watch?v=lMmsE6GMIR8

Warm ups of fingers

Rules of good typing - concentrate on the copy

Typewriters in the piece: <br /> - Olivett editor 5<br /> - Others...

• copy typing - types material already written or typed
• setting margins
• centering letters on page
• formatting and spacing
• double spacing with wide margins
• editor's marks

Backspace from center method for setting tab stops

Uses for typewriters:<br /> - check writing - billing - chain feeding - financial records and reports - filling in forms - carbon copies

index and file cards - inserted into a pleated page which may have lines.

Reply to Gertina Blanket on LinkedIn:

Jij legt in één klap uit datgene wat ik nooit goed heb begrepen uit de literatuur... Het verschil tussen interleaving en varied practice (die vaak als hetzelfde worden gebruikt in de "volksmond").

Het een gaat over verschillende hoeken kijken naar hetzelfde idee (varied practice) terwijl het ander gaat over verschillende maar soortgelijke ideëen (interleaving), bijvoorbeeld meerdere soorten wiskunde (algebra, trigonometrie, etc.).

Hierbij wil ik uiteraard wel zeggen dat blocked practice niet per se direct toegepast moet worden als het over automatisering gaat -- de cognitieve schemata moeten eerst goed gevormd zijn. Zie ook 4C/ID (Ten Steps to Complex Learning). Ofwel, eerst goede encoding + retrieval (Spaced Interleaved Retrieval, mindmapping, etc.) en dan focus op "drilling" / knowledge fluency.

Het sneller maken / automatiseren heeft geen enkel nut als het begrip er nog niet goed in zit. Dit moet geverifiëerd worden.

Kennis is natuurlijk ook erg interdisciplinair. Ik wordt er extreem blij van als ik een link leg tussen een boek over filosofie en efficiënt leren/onderwijs bijvoorbeeld.

Zo las ik ooit een boek over romeinse oratoren met een misleidende titel "How to Win an Argument" van Marcus Tullius Cicero, vertaald door James M. May, en hierin kwam ik tegen dat de oude Romeinen al door hadden dat LOGICA is wat het brein doet onthouden, en dit hoeft dus geen objective logica te zijn maar meer een correcte reflectie van hoe je eigen geest werkt en verbanden legt.

Dit is direct in lijn met wat ik weet van cognitieve leerpsychologie en mijn klein beetje kennis van neurowetenschap (waar ik dit jaar dieper in wil duiken).

Informatie in isolatie is nooit stevig, het moet zich vastklampen aan ankers en andere kennis (voorkennis eventueel), en de lerende (niet de onderwijzende) moet actief bezig zijn om deze verbanden te leggen.

Zoals ik wel vaker quote van Dr. Sönke Ahrens: "The one who does the effort does the learning."

Als ik een boek lees denk ik automatisch aan hoe ik dit kan relateren aan wat al in mijn second mind (Zettelkasten) zit. Ik denk niet meer linear, alleen maar non-linear. Standaard in verbanden.

Hier wat bronnen (impliciet) genoemd: - Cicero, M. T. (2016). How to win an argument: An ancient guide to the art of persuasion (J. M. May, Trans.). Princeton University Press. - Ahrens, S. (2017). How to take smart notes: One simple technique to boost writing, learning and thinking: for students, academics and nonfiction book writers. CreateSpace. - fast, sascha. (100 C.E., 45:02). English Translation of All Notes on Zettelkasten by Luhmann. Zettelkasten Method. https://zettelkasten.de/posts/luhmanns-zettel-translated/ - Luhmann, N. (1981a). Communicating with Slip Boxes (M. Kuehn, Trans.). 11. - Luhmann, N. (1981b). Kommunikation mit Zettelkästen. In H. Baier, H. M. Kepplinger, & K. Reumann (Eds.), Öffentliche Meinung und sozialer Wandel / Public Opinion and Social Change (pp. 222–228). VS Verlag für Sozialwissenschaften. https://doi.org/10.1007/978-3-322-87749-9_19 - Moeller, H.-G. (2012). The radical Luhmann. Columbia University Press. - Scheper, S. (2022). Antinet Zettelkasten: A Knowledge System That Will Turn You Into a Prolific Reader, Researcher and Writer. Greenlamp, LLC.

• Schmidt, J. F. K. (2016). Niklas Luhmann’s Card Index: Thinking Tool, Communication Partner, Publication Machine. In Forgetting Machines: Knowledge Management Evolution in Early Modern Europe (pp. 287–311). Brill. https://doi.org/10.1163/9789004325258_014
• Schmidt, J. F. K. (2018). Niklas Luhmann’s Card Index: The Fabrication of Serendipity. Sociologica, 12(1), Article 1. https://doi.org/10.6092/issn.1971-8853/8350

I introduced this book to affirm the views we were exploring by R. Buckminster Fuller in his book, Education Automation: Comprehensive Learning and Emergent Humanity.

Edit: add space, “projections by”

https://web.archive.org/web/20241115135937/https://workforcefuturist.substack.com/p/ai-agents-building-your-digital-workforce

On AI agents, and the engineering to get one going. A few things stand out at first glance: frames it as the next hype (Vgl plateau in model dev), says it's for personal tools (doesn't square w hype which vc-fuelled, personal tools not of interest to them), and mentions a few personal use cases. e.g. automation, vgl [[Open Geodag 20241107100937]] Ed Parsons of Google AI on the same topic.

( ~ 13:00 )

Stage 3, iteration, is about increasing fluency of mastery. Cognitive schema automation. Building up the habit.

Consistency -> Accuracy -> Speed

Varied practice is necessary, and fine-tune the technique based on experiment in application.

(~8:40)

Overlearning basically has the purpose of schema automation; creating an intuition for the built cognitive schemata.

“Business Machines.” The Journal of Business Education, September 1, 1930. https://www.tandfonline.com/doi/abs/10.1080/00219444.1930.10771593.

https://www.cassidyai.com/

Build AI Automations & Assistants Trained on Your Business.

https://resourcemate.com/

從一個被免費Evernote養肥了的數位囤積症患者那裡，得知有「IFTTT」這個東西。以前看過這個奇怪的縮寫但從未過問是什麼。這個wiki敘述好有趣，從未聽過這種東西，也不知它如何操作。

「跨平台的 IF 敘述」

Well shucks... This seems specific enough to emphasize because this is the first time I'm seeing that figure.

So, Essentially, they're proposing we take populous countries and limit the automation and let it go wild, but wouldn't this mean that over time, there would be technology segregation or a widespread between the automated countries and the manual labor ones? This would potentially create a crisis. We can likely say that opening borders because of not having to be in the physical location could open up some other doors.

Good case -- importance of adding tests to validate response codes and times, ensuring optimal server performance and response.

Leveraging tools such as Postman, developers can automate API tests, leading to the creation of efficient Warehouse Management System (WMS) integrations that streamline operations.

On the consolidation of the library automation field

Hell yeah.

I guess I could be mistaken, but I'm going to choose to interpret this as sublime validation for my "invention" and absolutely comprehensive implementation of DavodTime in the past 18 months or so.

Marshall McLuhan oppose d’ailleurs « mécanisation » (qu’il associée à l’aliénation de l’être humain, son asservissement à la machine de la manière ouvrière) et « automation » (processus libérateur menant à l’autonomie).

Étant indépendante du lieu ou du type des opérations de travail, l’énergie électrique crée des modèles de décentralisation et de diversification du travail à accomplir. […] <mark>[L]es modèles sociaux sociaux et éducationnels que recèle l’automation sont ceux du travail autonome et de l’autonomie artistique.</mark> Voir dans l’automation la menace d’une uniformisation à l’échelle mondiale, c’est projeter dans l’avenir la standardisation et la spécialisation mécaniques, qui sont désormais chose du passé.

— Marshall McLuhan, <cite>Pour comprendre les médias</cite>, Points, 1968, p. 404

McLuhan verrait dans l’énergie électrique (comme la lumière) une certaine neutralité, un caractère tellement générique qu’il permet de faire presque n’importe quoi, sans «biais» ou restriction conceptuelle particulière (voir p. 155, « la lumière est de l’information sans “contenu” »).

1930s Wilson Memindex Co Index Card Organizer Pre Rolodex Ad Price List Brochure

archived page: https://web.archive.org/web/20230310010450/https://www.ebay.com/itm/165910049390

Includes price lists

List of cards includes: - Dated tab cards for a year from any desired. - Blank tab cards for jottings arranged by subject. - These were sold in 1/2 or 1/3 cut formats - Pocket Alphabets for jottings arranged by letter. - Cash Account Cards [without tabs]. - Extra Record Cards for permanent memoranda. - Monthly Guides for quick reference to future dates. - Blank Guides for filing records by subject.. - Alphabet Guides for filing alphabetically.

Memindex sales brochures recommended the 3 x 5" cards (which had apparently been standardized by 1930 compared to the 5 1/2" width from earlier versions around 1906) because they could be used with other 3 x 5" index card systems.

In the 1930s Wilson Memindex Company sold more of their vest pocket sized 2 1/4 x 4 1/2" systems than 3 x 5" systems.

Some of the difference between the vest sized and regular sized systems choice was based on the size of the particular user's handwriting. It was recommended that those with larger handwriting use the larger cards.

By the 1930's at least the Memindex tag line "An Automatic Memory" was being used, which also gave an indication of the ubiquity of automatization of industrialized life.

The Memindex has proved its success in more than one hundred kinds of business. Highly recommended by men in executive positions, merchants, manufacturers, managers, .... etc.

Notice the gendering of users specifically as men here.

Features: - Sunday cards were sold separately and by my reading were full length tabs rather than 1/6 tabs like the other six days of the week - Lids were custom fit to the bases and needed to be ordered together - The Memindex Jr. held 400 cards versus the larger 9 inch standard trays which had space for 800 cards and block (presumably a block to hold them up or at an angle when partially empty).

The Memindex Jr., according to a price sheet in the 1930s, was used "extensively as an advertising gift".

The Memindex system had cards available in bundles of 100 that were labeled with the heading "Things to Keep in Sight".

The beauty of FAST framework<br><br>Overloaded with information → Filter<br><br>Drowning in busywork → Automate<br><br>Descending into chaos → Structure<br><br>Doing things over and over → Templatize pic.twitter.com/kn6Gi27DLG

— Andrew Altshuler (@1eo) February 4, 2023

• [ ] May be worth coming back to explore this part of the Obsidian workflow at some point for some automation. (@2022-11-08)

Future proofing by asking "what if we're wrong?"

Also, this is not currently working.

I can't really see any reason for this action to exist without the ability to accept input (which it can't.) Automating the creation of an empty Tab Group doesn't make much sense but it sure would to automate moving tabs around.

cult v. culture, sketchy mobile ad lore — Grubhub lore, "silence brand"

hard jewelry, soft feelings

Disneyland hotel?

It seems to me that they tried to roboticize a manufacturing process for a product that was designed to be manufactured by humans. Rookie mistake.

If they want to automate construction of Mac products, they'll have to redesign the product to fit the constraints of robotic manufacture.

I believe this is software for a lot of mobile phones that recycle IP addresses (as they are unque alledgedly) and are more reliablu than proxies. Then all kinds of nefarious activities is emplyed on these mobile phones. this happens in countries like india/bangladesh ithink. perhaps there could be a better use for this infrastructure... appium device farm

https://www.youtube.com/watch?v=9X8gaMGQNsA

Using direct links to things within Obsidian can be powerful. It's also very useful when using other tools in conjunction with Obsidian.

Seems like many of the tips and automations from outside of Obsidian here are Apple iOS specific.

https://ifttt.com/explore/make-inspiration-notebook

IFTTT.com sent out a marketing email today in which one of the five major headlines was "Automated Notebook": "Your Ideas and Inspiration in one place" with a big "Explore" button that goes to https://ifttt.com/explore/make-inspiration-notebook

An awareness of other structural, economic issues that are weakening democracy: Globalization, Automation, Inequality.

Disappearing message apps automate the agreement

The people in the message thread turn the responsibility for deleting the thread over to a machine. One person doesn't need to rely on the memory of another person to ensure the contents are deleted. People might forget; the machine just runs its rules.

Social Media Conversations in Support of Herd Immunity are Driven by Bots. (n.d.). Federation Of American Scientists. Retrieved March 31, 2022, from https://fas.org/blogs/fas/2020/10/social-media-conversations-in-support-of-herd-immunity-are-driven-by-bots/

Interesting boast for someone who works for someone else. 🤔

Script to automate an 8 hour job: The firm gets thousands of digital documents, photos, etc on a daily basis. All of this goes on a local drive. My job is to transfer all of these files to the Cloud and then verify their fidelity.