Andrej Karpathy built a simple automation pipeline for AI agents to optimize training in 5-minute increments.
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。
Andrej Karpathy built a simple automation pipeline for AI agents to optimize training in 5-minute increments.
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。
an ARA-native review system that automates objective checks so human reviewers can focus on significance, novelty, and taste.
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。
The agent has gone from literal zero, no Cloudflare account at all, without any preconfigured [Agent Skills](https://github.com/cloudflare/skills) or [MCP server](https://blog.cloudflare.com/code-mode-mcp/), to having: * Provisioned a new Cloudflare account * Obtained an API token * Purchased a domain * Deployed an app to production
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.
Humans can be in the loop to grant permission and must accept Cloudflare's terms of service, but no human steps are otherwise required from start to finish.
This emphasizes the best practice of automating processes where possible, reducing manual intervention and streamlining workflows.
Fugu models achieve superior performance by dynamically coordinating and orchestrating a diverse pool of powerful models.
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。
Capture sequences and replay them as stable automations.
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。
Map tokens, cookies, sessions, and multi-step sequences automatically.
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。
Kampala lets you reverse engineer anything including websites, mobile apps, and desktop apps instantly.
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。
We want email agent tooling to be composable and reusable. Rather than every team rebuilding the same inbound-classify-reply pipeline, start with this reference application.
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。
Claude packages everything into a handoff bundle that you can pass to Claude Code with a single instruction.
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。
Workspace agents can gather context from the right systems, follow team processes, ask for approval when needed, and keep work moving across tools.
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。
The benefit of using LLMs is that a lot of the initial context gathering can be done in an automated way. An emphasis of focus should be on high signal context – for example, looking through past query history can be high signal in determining the most referenced tables and most common joins, and data modeling solutions like dbt or LookML can provide clear definitions for business metrics.
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。
The most notable improvement comes from CloningQA, which requires end-to-end design of DNA and enzyme reagents for molecular cloning protocols.
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。
Auto-generate screen reader specs from UI designs
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。
The system is designed to handle multi-step workflows like booking trips, clearing inboxes, or running research without constant input, bringing it closer to emerging agent platforms from OpenAI and Anthropic.
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。
The integration also connects to Upwork's AI agent Uma, which helps automate parts of the hiring and execution process once a project is underway.
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。
Ovren puts AI frontend and backend engineers on it - they work inside your real codebase, execute scoped tasks, and deliver reviewable code updates.
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。
M2.7 shows significant improvement in complex editing capabilities for Office Suite (Excel/PPT/Word), better handling multi-turn modifications and high-fidelity edits.
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。
building and shipping an internal beta product with zero manually written code
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。
The AI toolkit for building and maintaining browser automations
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。
Add cloud browser provider system (Kernel + Browserbase) - Add cloud browser providers spec (Kernel + Browserbase) - phase 1: add provider metadata to session state schema
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。
Add dev-tools package with wt worktree manager CLI - New packages/dev-tools with standalone wt CLI for git worktree management - Commands: wt new, wt scratch, wt prune - Uses Vertex AI (gemini-2.5-flash) for branch name generation via gcloud ADC
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。
It has replaced existing tasks for 27% of employed AI work users and created new ones for 21%.
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。
27% said AI has replaced some of their existing tasks (task automation). An example of task automation could be an employee using AI to summarize a document they would ordinarily read themselves.
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。
A routine is a saved Claude Code configuration: a prompt, one or more repositories, and a set of connectors, packaged once and run automatically.
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。
Routines execute on Anthropic-managed cloud infrastructure, so they keep working when your laptop is closed.
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。
Performance: dev-browser: 3m53s, $0.88, 100% success rate — beats MCP configs, Chrome extensions, 'browser skill' stacks.
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。
One Agent can now: open X (Twitter), scroll the feed, extract tweets, return clean JSON. No plugins. No extensions. No orchestration.
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。
GitHub Actions has grown from 500M minutes/week in 2023 to 1B minutes/week in 2025, and now 2.1B minutes so far this week
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。
Open Loop + Infinite Demand = Creative Amplifiers. Content creation & marketing strategy. AI can generate a thousand ad variations or blog posts.
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。
Closed Loop + Finite Demand = Efficiency Plays. AI bookkeeping categorizes transactions, reconciles accounts, files returns. Deterministic rules applied to numbers.
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。
You get your most tenured engineer on-call all the time
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。
70% of alerts resolved in under 5 minutes
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。
Austin built the whole pipeline from his Claude Code terminal using the Notion API. He brain-dumped the desired outcome using Monologue, let Claude Code create the database and data pipeline, and pasted the generated instructions into the Notion custom agent setup.
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。
ChatGPT for Excel can connect to apps. Apps from your ChatGPT account can be used in ChatGPT for Excel, subject to your plan, workspace admin settings, app availability, user permissions, and data-source entitlements.
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。
if AI can do only 50 percent of a human's tasks, the importance of the non-automatable tasks likely goes up since they become the bottlenecks, increasing their relative value.
「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。
accounting and auditing showing nearly a 20 percent jump on GDPval and even domains like police / detective work showing a nearly 30 percent improvement.
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。
Support teams are high volume and high turnover, and thus need to train new reps in a fast and standardized way. To do so, they have clearly articulated standard operating procedures (SOPs) that guide the work of each rep. These SOPs create clear rules and guidelines that AI agents can model themselves off of.
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。
The difference between analysis automation—inference—anddecision automation is that in the latter the system must make implicit or explicit assump-tions about costs and values inherent in all decisions.
Examples of decisionautomation include route planning and adaptation, such as to avoid bad weather, and systems pro-viding medical diagnosis support.
Decision automation means deciding and selecting appropriate actions among alternatives.This type of automation corresponds to the third human information processing state, decision-making, which the machine is either augmenting or replacing altogether.
An example of low-level automation is the extrapolation or prediction of data over time,such as a system predicting a trend for the output of an industrial plant based on historical sensordata. An example of moderate- to high-level automation is a system integrating multiple sources orinput variables. This could be a display with emergent perceptual features, such as an optical see-through display with a landing strip intended to assist a pilot in landing an aircraft. An exampleof high-level automation is a context-dependent summary of data.
Analysis automation refers to the automation of information analysis and involves inferentialprocesses. It corresponds to the second human information processing state: perception/workingmemory.
An example of low-level automation is assistance in sensor adjustment, such as a system mechanically moving a radarsensor to lock on a detected target. An example of moderate automation is a system organizinginformation according to criteria such as a priority list or highlighting information based on staticor dynamic criteria. This could be, for example, a display highlighting the rate of change in somevariable of interest. This could be indicated by increasing the intensity of some pixels more rapidlythan others in the display.
Acquisition automation corresponds to the first human information processing stage, sensoryprocessing, and it is realized by the system sensing and registering input data.
Types of automation: The types of automation can be understood by viewing a human operatoras a simple four-stage model of human information processing:1. Sensory processing2. Perception and working memory3. Decision-making4. Response selection.
The framework uses two sets of evaluation criteria to help designers determine the appropri-ate type and level of automation for each application. The primary evaluation criteria concernthe impact of the chosen types and levels of automation on human performance. The secondaryevaluation criteria include automation reliability and the cost of decisions or outcomes.
For thisreason, designers can benefit from frameworks that support system design that involves automa-tion. We now discuss one such framework: the types and levels of automation framework [639].Downloaded from https://academic.oup.com/book/60808 by Helsinki University Library user on 01 December 2025
In all cases, getting the right balance betweenautomation and human control is crucial.
Throughout the history of automation, a central challenge in HCI has been posed by the com-plexity of autonomous systems. Users must be able to understand and control them. They need tofind and integrate information from dynamic and different sources. They need to understand howto delegate tasks, supervise their execution, and intervene if needed.
Automation refers to technology that assists users by performing a task or a subtask on their behalf.
Suchtechniques provide different levels of automation.
Historian Mar Hicks documents this in Programmed Inequality: when work is coded as “women’s work,” it becomes a target for automation.
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/
METR conclude that “the length of tasks AI can do is doubling every 7 months”. I’m not convinced that pattern will continue to hold, but it’s an eye-catching way of illustrating current trends in agent capabilities.
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.
The chart shows tasks that take humans up to 5 hours, and plots the evolution of models that can achieve the same goals working independently. As you can see, 2025 saw some enormous leaps forward here with GPT-5, GPT-5.1 Codex Max and Claude Opus 4.5 able to perform tasks that take humans multiple hours—2024’s best models tapped out at under 30 minutes.
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?
f you define agents as LLM systems that can perform useful work via tool calls over multiple steps then agents are here and they are proving to be extraordinarily useful. The two breakout categories for agents have been for coding and for search.
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
Home security company Vivint, which uses Agentforce to handle customer support for 2.5 million customers, experienced these reliability problems firsthand. Despite providing clear instructions to send satisfaction surveys after each customer interaction, The Information reported that Agentforce sometimes failed to send surveys for unexplained reasons. Vivint worked with Salesforce to implement "deterministic triggers" to ensure consistent survey delivery.
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.
All of us were more confident about large language models a year ago," Parulekar stated, revealing the company's strategic shift away from generative AI toward more predictable "deterministic" automation in its flagship product, Agentforce.
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...
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.
human experience makes science possible
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.
During one-third of a century of experimental work, I have been operating on the philosophic premise that all thoughts and all experiences can be translated much farther than just into words and abstract thought patterns.
projectionsby
Edit: add space, “projections by”
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.
while true; do waitforsave assignment.ly; lily assignment.ly; say "done"; done
( ~ 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.
Build AI Automations & Assistants Trained on Your Business.
Then it automatically withdraws money you can safely save and deposits it in the Oportun account you specify—either the Oportun savings or retirement account. Funds from your Oportun accounts can be moved back to your linked account at any time.
Another simple way is to set up automatic deposits from your checking account into your savings account. Set the deposits to occur on the same day each month (like the day after your paycheck hits the account). This way, you’ll be saving a fixed amount of money regularly without even giving yourself the chance to use it for something else.
If you’ve got some technical savvy, the open-source tool Privacy Bot can send mass data deletion requests from your email address.
IFTTT (/ɪft/, an acronym of if this, then that)[3][4] is a private commercial company founded in 2011, that runs online digital automation platforms which it offers as a service.[5] Their platforms provide a visual interface for making cross-platform if statements. As of 2020[update], they have 18 million users.[2][6][7] IFTTT has partnerships with different providers of everyday services as well as using public APIs to integrate them with each other through its platform. They supply event notifications to IFTTT and execute commands that implement the responses.
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」
The processing limit for shortcut text, etc. seems to be approximately 2.6 MB.
Well shucks... This seems specific enough to emphasize because this is the first time I'm seeing that figure.
In those countries where manpower is not available, or some process where human efforts are limited, Automation is justified. Howeverin the countries with huge potential of young manpower automation can be limited.
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.
We will try to add two tests for response code in order to know that our request was successful. Another test we will add for response time < 2 sec in order to understand how fast request was processed by server. If it will be executed slower then for 2 seconds, our test will fail. In this case I use 2 seconds just for example it might be greater or lower number, but 7 seconds is usually a maximum time for request execution. So in order to add tests, go to “Tests” in request section of application and add this few lines : tests["Status code is 200"] = responseCode.code === 200; tests["Response time is less than 200ms"] = responseTime < 2000; When this is done hit on Send button again and execute your first test.
Good case -- importance of adding tests to validate response codes and times, ensuring optimal server performance and response.
Developers use tools like Postman for API test automation to create WMS system integration technologies that help you increase efficiency by automating manual processes. The WMS connects all of your warehouse locations so that you can easily access information about your inventory, orders, and shipments from any computer.
Leveraging tools such as Postman, developers can automate API tests, leading to the creation of efficient Warehouse Management System (WMS) integrations that streamline operations.
I believe the final policy shall contain robust rationale and, in the best way possible, avoids the perception of rAIcial discrimination
The industry has changed from being fragmented to consolidated
If there are any date formats you regularly use that aren’t the default for Shortcuts, those are excellent choices for creating utility shortcuts.
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.
C’est la confusion entre mécanisation et automatisation qui nourrit l’inquiétude de vies soumises au calcul.
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 Overloaded with information → Filter Drowning in busywork → Automate Descending into chaos → Structure Doing things over and over → Templatize
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>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
Since this can involve a lot of repetitive actions on a long file, I use this javascript code along with the QuickAdd plugin, to do it for me.
“You have to assume that things can go wrong,” shared Waymo’s head of cybersecurity, Stacy Janes. “You can’t just design for this success case – you have to design for the worst case.”
Future proofing by asking "what if we're wrong?"
“Find Notes” can now retrieve more than 26 notes at a time
Also, this is not currently working.
Create Tab Group
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?
For example, whereas C programmers have argued for years about where to put their brackets, and whether code should be indented with tabs or spaces, both Rust and Go eliminate such issues completely by using a standard formatting tool (gofmt for Go, rustfmt for Rust) which rewrites your code automatically using the canonical style. It’s not that this particular style is so wonderful in itself: it’s the standardisation which Rust and Go programmers appreciate.
The single-line commit trailers ^Update-Info: *(.*) on version tagged commits are used to assemble a small changelog during update, which is presented to the user. The single line can contain important information/links to relevant fixes and changes.
Danger runs after your CI, automating your team's conventions surrounding code review.
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.
This is an Appium plugin designed to manage and create driver session on connected android devices and iOS Simulators. Why Appium Device Farm? Automatically detects connected Android, iOS Simulators and Real devices before session creation and maintains it in device pool. Dynamically allocates a free device from device pool while creating driver session. Updates the device pool with a new device during test execution. Allocates random ports for parallel execution.
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
One of those factors is globalization which has helped lift hundreds and millions out of poverty, most notably in China and India, but which, along with automation has also ended entire economies, accelerated global inequality, and left millions of others feeling betrayed and angry at existing political institutions.
An awareness of other structural, economic issues that are weakening democracy: Globalization, Automation, Inequality.
Disappearing message apps take something humans are bad at (remembering to do a specific task at a specific time) and hand that job to a computer, which is really good at that.
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.
In its simplest sense, automation is about each individual part performing the same repetitive steps over and over again
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/
Oh and I automated my entire crypto portfolio.
Interesting boast for someone who works for someone else. 🤔
The script is in batch with some portions of powershell. The base code is fairly simple and most of it came from Googling ".bat transfer files" followed by ".bat how to only transfer certain file types" etc. The trick was making it work with my office, knowing where to scan for new files, knowing where not to scan due to lag (seriously, if you have a folder with 200,000 .txt files that crap will severally slow down your scans. Better to move it manually and then change the script to omit that folder from future searches)
It essentially scans the on-site drive for any new files, generates hash values for them, transfers them to the Cloud, then generates hash values again for fidelity (in court you have to prove digital evidence hasn't been tampered with).
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.
How To Become A Task Automation Hero Using Python [Guide With Examples]
Hoffman, R., Mueller, S., Klein, G., & Litman, J. (2021). Measuring Trust in the XAI Context. PsyArXiv. https://doi.org/10.31234/osf.io/e3kv9
/!\ If you see "Complete the captcha then press enter", switch to the Chromium window and do the captcha. ¨¨ Press Enter when you're done, the page will reload and you should see the source code of the URL you request
This code permit a manual bypass of the CloudFare captcha for FanFiction.net
Side note: When I flagged yours as a dupe during review, the review system slapped me in the face and seriously accused me of not paying attention, a ridiculous claim by itself since locating a (potential) dupe requires quite a lot of attention.
Trust Tokens is a new API to help combat fraud and distinguish bots from real humans
Trust Token is a new API to help combat fraud and distinguish bots from real humans
This poses a few problems for automation. In some environments, there may be no graphical display available, or it may be desirable to not have the browser appear at all when being controlled.
Aqara Magic Cube ZHA (51 actions)
By default ZHA show 27 actions only.
Augmented by Isabella Gross Alström's blog.
If everyone is marked as Extended Away, activate vacation mode to automatically turn off/on lights to make it look like someone is home
intresting anti-theft automation
Best Home Security System Apps to Learn From
Yes, autoexpect is a good tool, but it is used just to automatically create TCL-expect scripts, by watching for user. So it’s can be equal to writing expect-scripts by hand.
empty is an utility that provides an interface to execute and/or interact with processes under pseudo-terminal sessions (PTYs). This tool is definitely useful in programming of shell scripts designed to communicate with interactive programs like telnet, ssh, ftp, etc.
fill_in('Foo', with: 'bar', fill_options: { clear: :backspace })
first sighting: fill_options: { clear: :backspace })
first sighting: fill_options as an option at all (for fill_in only, I presume)
I wonder they added at all as a response to this:
See also: https://hyp.is/ZcXVJJMyEeucgmPXYFP9yg/github.com/teamcapybara/capybara/issues/203
(which key should have been pressed, backspace, space?)
It might be possible to fix it in Capybara, but I'm afraid that we'd just add more unexpected, ambiguous behaviour (which key should have been pressed, backspace, space?).
find_field('Prefix').send_keys([:control, "a"], :backspace)
Some pesky non-human users (namely computers) have taken to “hotlinking” assets via the raw view feature — using the raw URL as the src for a <script> or <img> tag.
The key point is that this is a feature to improve the experience of our human users.
Stop thinking of the ideal user as some sort of honorable, frontier pilgrim; a first-class citizen who carries precedence over the lowly bot. Bots need to be granted the same permission as human users and it’s counter-productive to even think of them as separate users. Your blind human users with screen-readers need to behave as “robots” sometimes and your robots sending you English status alerts need to behave as humans sometimes.
Python for Excel
2.4 Match and Click
recently released NIH Open Citation Collection,
It may be worth it programming a bot that brings this information to wikidata
Intercepting proxies are commonly used in businesses to enforce acceptable use policy, and to ease administrative overheads since no client browser configuration is required.
This issue has been resolved in version 9.1.9
Want to use this now? Existing projects A more robust and maintainable way to incorporate this patch into your workflow using patch-package:
Welfare States, Labor Markets, Social Investment and the Digital Transformation. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 1, 2020, from https://covid-19.iza.org/publications/dp13391/
Chernoff, A. W., & Warman, C. (2020). COVID-19 and Implications for Automation (Working Paper No. 27249; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27249
Source for: https://apify.com/page-analyzer
Ivanov, S., Webster, C., Stoilova, E., & Slobodskoy, D. (2020). Biosecurity, automation technologies and economic resilience of travel, tourism and hospitality companies [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/2hx6f
WEFI. (n.d.). WORKSHOP ON ENTREPRENEURIAL FINANCE AND INNOVATION. Retrieved July 20, 2020, from https://sites.google.com/view/wefi2
Clark, J., Glasziou, P., Mar, C. D., Bannach-Brown, A., Stehlik, P., & Scott, A. M. (2020). A full systematic review was completed in 2 weeks using automation tools: A case study. Journal of Clinical Epidemiology, 121, 81–90. https://doi.org/10.1016/j.jclinepi.2020.01.008
MIT Study Examines How Many Jobs Robots Really Replace. (n.d.). Retrieved June 5, 2020, from https://www.thomasnet.com/insights/mit-study-examines-how-many-jobs-robots-really-replace/
You can now distribute your add-on. Note, however, that your add-on may still be subject to further review, if it is you’ll receive notification of the outcome of the review later.
There are paywalls, cookie walls. Should we call this a "comprehension wall"?
you may be more likely to work alongside a robot in the near future than have one replace you. And even better news: You’re more likely to make friends with a robot than have one murder you. Hooray for the future!
that can be partially automated but still require human oversight and occasional intervention
but then have a tool that will show you each of the change sites one at a time and ask you either to accept the change, reject the change, or manually intervene using your editor of choice.
Our Cookie Solution plugins for WordPress, Magento, Joomla! and PrestaShop allow you to automate the blocking of scripts drastically reducing the necessity for direct interventions in the site’s code.
Overestimating robots and AI underestimates the very people who can save us from this pandemic: Doctors, nurses, and other health workers, who will likely never be replaced by machines outright. They’re just too beautifully human for that.
Yes - we used to have human elevator operators and telephone operators that would manually connect your calls. We now have automated check-out lines in stores and toll booths. In the future, we will have automated taxis and, yes, even some automated health care. Automated healthcare will enable better healthcare coverage with the same number of healthcare workers (or the same level of coverage with fewer workers). There can be good things or bad things about it - the way we do it will absolutely matter. We just need to think through how best to obtain the good without much of the bad ... rather than assuming it wont ever happen.
the demand for products will keep climbing as well, as we’re seeing with this hiring bonanza.
Probably not. The increase in demand is a result of the social-distancing and the hoarding. This is not a steady state. The demand for many things will return to normal (or below) once people figure out what they are using and what is still available. For example - you don't use that much more toilet paper when you are at home ... but you buy more if you don't know when it will be available again.
Last week, Amazon officials announced that in response to the coronavirus they were hiring 100,000 additional humans to work in fulfillment centers and as delivery drivers, showing that not even this mighty tech company can do without people.
Amazon has adopted automation in a very big and increasing way. Just because it has not automated everything yet, doesn't mean that complete automation isn't possible. We already know automated delivery is in the works. Amazon, Uber and Google are all working on the details of autonomous navigation ... and the ultimate result will absolutely impact future drivers (pun intended).
Why haven’t the machines saved us yet?
because machines don't buy tickets to fly on planes and vacation on cruise ships.
And that’s all because of the vulnerabilities of the human worker.
It has more to do with the vulnerabilities of the human traveler and the human guest (and less to do with the workers). The demand for these services has simply gone down while people try to avoid spreading the virus.
open source browser extension that can automatically answer pop-ups based on user-customizable preferences.It’s called Consent-o-Matic — and there are versions available for Firefox and Chrome.
Cookies may not be detected by scanner if the related tag is triggered by actions such as form submission, scroll depth, timing delay, etc. These tags will need to be controlled by manual methods.
With all these caveats listed, it makes me wonder for which tags auto-blocking does work. Only script tags inside of head?
They are a bit vague in their "how it works" description...
Cookies set by in-line scripting directly in the HTML is not supported by the auto-blocking functionality.
Do Browse like a user wouldTake natural pauses that users would take to consume page contentFocus on the most common use cases, rather than all the possible use casesTake note of pages where forms/logins occur, you will likely need to complete some scripting there
we usually need 400-1200 colonies, it’s still easier and faster to do this manually than by colony picker. Also, colony pickers typically cost >$100K and don’t seem appropriate for our scale.
Rubydoc.info can automatically fetch and rebuild your docs from your github project everytime you commit! To add a post-receive (commit) hook to Github, simply select the official Rubydoc.info service hook from the list of service hooks in your project settings.
Using kickstart, a system administrator can create a single file containing the answers to all the questions that would normally be asked during a typical installation. Kickstart files can be kept on a server system and read by individual computers during the installation. This installation method can support the use of a single kickstart file to install Fedora or Red Hat Enterprise Linux on multiple machines, making it ideal for network and system administrators.
An application to lock desktop when the user leaves.
While about half of all work activities globally have the technical potential to be automated by adapting currently demonstrated technologies
1/2 of all work is redundant (note: not .5 of all jobs but rather of the tasks we on given jobs; also, this is total so not on average meaning that some jobs are 99% today and others are less but point remains that even a CEO's job has redundancy)
Nest Secure is easy to live with
Yes it is. One downside, however, is that the system does not provide very good integration with other smart devices/services. This seems to be a trend in Google services of late. IFTTT, for example is not available at all for Nest Secure as today.
It is no longer enough to automate information flows about us; the goal now is to automate us. These processes are meticulously designed to produce ignorance by circumventing individual awareness and thus eliminate any possibility of self-determination. As one data scientist explained to me, “We can engineer the context around a particular behaviour and force change that way… We are learning how to write the music, and then we let the music make them dance.”
Like I dunno, I would sometimes prefer to have some type of automatic initiation process and enter trades, but I don't know of anything that's safe and I haven't really thought about it that much
and I'll be manually inputting them. And that is annoying and I haven't really tackled that
Um, three commas does that as well because it allows you to put in your targets, which is great cause it, you know, it auto sells it for you and then you can go back and look at it.
maximize my profits or minimize my losses through automation
So having that automated tool, um, I don't know how people would trade without it to be, to be completely honest,
That deliberateness would eventually show up in the Omata, which promises a “deeper connection to the ride itself.”
I like the emphasis on "deliberateness" as opposed to, I suppose, automation.
Find Out If Your Job Will Be Automated
All else he should be able to turn over to his mechanism,
3 cheers for automation!

Computer technology is already eating jobs and has been since 1990.
ICRA 2016 in Stockholm
lâu quên mẹ nó hội nghị này thằng Redwan có dự ông Chong chắc cũng có
On May 15th, my house will stop working.
Pause for effect…
Min 52:43, Patternmakers: the artisans who enable the machine, who create the patterns that make machines possible.
People learn by imitation. If you're a natural automator, modeling that behavior within your team or organization may be a way to lead by example.
With technological change, we see increased demand for new products; therefore new jobs are created on the railways and shops selling more luxury items, such as scarves and hats.
Those who can't make, sell. Those who can't sell, starve. What a horrible thought.
API Services During my monitoring of the API space, I came across a new API monitoring service called AutoDevBot, which monitors all your API endpoints, and notifies you when something goes wrong. Pretty standard feature in a new wave of API integration tools and services I’m seeing emerge, but what is interesting is they use Github as a central place to store the settings for the API monitoring service. AutoDevBot has you clone their settings template, make changes you need to monitor your APIs, register and fire up AutoDevBot to monitor. Seems like a pretty simple way for API service providers to engage with API providers, allowing them to manage all the configuration for API services alongside their own internal API operations.