The hottest Automation Substack posts right now

And their main takeaways
Category
Top Technology Topics

What New AI Operating Systems Mean for Work

Workforce Futurist by Andy Spence • 439 implied HN points • 05 Feb 25
🕹 Technology Automation
  1. AI could change how we use computers by making them more conversational and task-oriented. Instead of using separate apps, we might just tell the computer what we need and it could do it for us.
  2. In the future, businesses might run on AI Operating Systems that can automate many processes, making everything more efficient. These systems could help manage resources, predict customer needs, and adapt quickly to changes.
  3. The role of human workers will likely evolve into 'SuperOperators' who work closely with AI. Instead of completely replacing jobs, AI might help us become more skilled at decision-making and creative problem-solving.

SIEM 4.0: The Essentialist Evolution

Detection at Scale • 59 implied HN points • 28 May 24
🕹 Technology Automation
  1. Security teams are moving towards prioritizing impactful MITRE tactics over complete ATT&CK coverage to reduce distracting alerts and focus on critical threats.
  2. Transitioning from individual behaviors to risk-based alerts allows for a more context-based approach, reducing alert volumes and enhancing significance.
  3. The evolution to SIEM 4.0 includes opening up data lakes, adopting 'as code' principles, and utilizing AI to automate routine tasks so human analysts can focus on high-value work.

👴👵🤖 Humanity’s Great Fight for the Future: Demographics vs. AI

Faster, Please! • 1370 implied HN points • 05 Feb 24
🕹 Technology Automation
  1. There may be a tug-of-war between AI-led productivity gains and the budget impacts of retirees and falling population growth.
  2. The analysis examines key megatrends like technology, demographics, fiscal deficits, globalization, and energy transitions.
  3. Two scenarios are presented: One where aging population and retirees limit growth, and another where productivity surges through AI-led automation.

When the Ladders Disappear

Perspectives • 5 implied HN points • 12 Feb 26
💼 Business Automation
  1. AI-driven productivity will automate many routine office tasks and entry-level roles, reshaping how work is done and removing traditional on-ramps for career development.
  2. Historical tech-driven shifts show that economic growth can be uneven, and AI risks concentrating most of the gains with capital owners while workers capture a smaller share.
  3. The transition will be uneven and disruptive, so society needs new policies like retraining, income supports, or mechanisms to share productivity gains to protect communities and preserve career ladders.

Biology and the evolution of AI tools

A Biologist's Guide to Life • 16 implied HN points • 17 Jan 26
🕹 Technology Automation
  1. Major technological shifts mirror biological evolution: replication and innovation create new forms and disruptive functions that reshape systems over time.
  2. AI is a major economic transition driven by internet-scale data and modern neural networks, automating many digital tasks; its future will be shaped by competition for compute and users, technical advances like model compression, and cultural and legal responses.
  3. Individuals can adapt by learning to use AI as a practical sidekick to upskill and build new things, while being careful not to share sensitive information.
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The worst test suites read like word salad after a C++ compiler had a stroke. The best test suites adopt business language.

🔮 Crafting Tech Teams • 99 implied HN points • 10 Apr 24
🕹 Technology Automation
  1. Write tests in plain language aligned with business objectives for better understanding and communication.
  2. Ensure test names are clear and easily interpreted by humans to provide confidence and insight.
  3. Utilize BDD and Jasmine frameworks for more ergonomic testing and improved behavior analysis.

Where We're Going ...

UnfairNation by Ehsan Zaffar • 6 implied HN points • 10 Feb 26
🕹 Technology Automation
  1. The future is moving too fast for old, predictable career roads — you can’t assume a single major or job will map your whole life anymore.
  2. Raw knowledge and fixed skills are less valuable because information is easy to access and many tasks are being automated by AI.
  3. Adaptability is the most important asset now: learning how to learn, staying curious, communicating well, and being open to new ideas will let you thrive when the ground shifts.

Deepseek Meets Li Qiang, Data Labeling Subsidies, Taiwan's Debt, Automation Optimism

ChinaTalk • 429 implied HN points • 24 Jan 25
🕹 Technology Automation
  1. DeepSeek, a major player in China's AI sector, recently caught the attention of government leaders, highlighting its rise as a 'national champion.' This may lead to more funding but also increased scrutiny from the government.
  2. China is putting effort into developing the data labeling industry as a key part of its AI advancements, offering tax breaks and support to help businesses in this area grow. High-quality data is essential for effective AI development.
  3. Taiwan needs to rethink its strict debt policy to invest more in military and energy security due to rising threats from China. Maintaining a low debt level could limit Taiwan's ability to strengthen its defense.

The Sequence AI of the Week #765: Diving into Claude Opus 4.5

TheSequence • 42 implied HN points • 03 Dec 25
🕹 Technology Automation
  1. Claude Opus 4.5 is a powerful AI model that goes beyond just chatting. It's designed to be an operating system for complex tasks like coding and using tools.
  2. The model is built for deep reasoning and can handle long conversations, making it ideal for challenging projects and workflows.
  3. Unlike previous models, Opus 4.5 focuses on real work in areas like spreadsheets and codebases, showing that language models are evolving into more advanced tools.

The loop that shrank

Brave New Teams • 8 implied HN points • 31 Jan 26
🕹 Technology Automation
  1. Saying “human in the loop” is mostly a temporary grace period, not a permanent safeguard. As AI gets more reliable, humans will move from constant oversight to occasional checks or mere compliance roles.
  2. AI will automate routine white‑collar tasks and shrink entry‑level drudgery, pushing jobs toward exception‑handling and orchestration and reducing bargaining power for many workers. That shift will tend to concentrate economic gains with owners of data, compute, platforms, and distribution.
  3. Use the transition deliberately: build auditable, safe systems and clarify liability while policing platform chokepoints, and broaden who owns automation gains through stronger social insurance, profit‑sharing, pensions, or sovereign wealth mechanisms.

RAG Implementations Are Becoming More Agent-Like

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 99 implied HN points • 08 Apr 24
🕹 Technology Automation
  1. RAG implementations are changing to become more like agents, which means they can make better decisions and adapt to different situations.
  2. The structure of prompts is really important now; it’s not just about adding data, but about crafting the prompts to improve how they perform.
  3. Agentic RAG allows for complex tasks by using multiple tools together, making it capable of handling detailed questions that standard RAG cannot.

The best automated GTM plays you’re not running

Kyle Poyar’s Growth Unhinged • 410 implied HN points • 12 Feb 25
💼 Business Automation
  1. Automation in marketing doesn't mean sending many random messages. It can be effective by targeting the right audience in a smart way.
  2. Using advanced tools, businesses can reach out to potential clients based on specific signals, like job changes or website visits, making outreach more relevant.
  3. By focusing on quality over quantity, automated strategies can significantly improve response rates and lead conversion, creating a more successful approach to sales.

Follow the (fake) Data

DeFi Weekly • 314 implied HN points • 19 Oct 23
🔮 Crypto Automation
  1. Industry around airdrop farming heavily relies on fake data for valuation
  2. Airdrop farming involves finding the right airdrops and using specialized tools to optimize rewards
  3. The ecosystem surrounding airdrop farming is prone to manipulation and can mislead retail investors

Gods, slaves and playmates

imperfect offerings • 139 implied HN points • 26 Feb 24
🕹 Technology Automation
  1. The essay/post explores AI fantasies and their significance in education.
  2. People tend to relate to synthetic models as if they have agency, even though they don't.
  3. Big tech industry creates a narrative around AI as gods or monsters, while in reality, these AI systems are often designed to serve in subservient roles.

The Five Layers of Incident Response (Part 1)

Detection at Scale • 59 implied HN points • 21 May 24
🕹 Technology Automation
  1. Detection Engineering involves automating SecOps using software engineering and data principles to enhance defense capabilities without eliminating human roles.
  2. For effective Incident Response, utilize the 'Five Layers of IR': Playbook Management, Data Layer, and Presentation Layer.
  3. The Playbook sets the strategy, Data Layer defines necessary logs for playbooks, and Presentation Layer visualizes alerts and actions for human analysis.

My Claude Code workflow

Aliveness Studies • 13 implied HN points • 12 Jan 26
🕹 Technology Automation
  1. Pay for the Max plan and run multiple model instances so you have enough usage and can parallelize feature work and background tasks.
  2. Use git worktrees (and a helper like worktrunk) plus plan-mode workflows to manage branches, run hooks, spin up per-branch dev servers, and have the model draft and implement features with tests and linting.
  3. Automate end-to-end: let the model ‘do it for me’ to run CLI tools, deploy, update DNS, run headless integration tests, and use browser or interview tools to gather info and fix problems without manual steps.

Why Obsessing Over AI Today Blinds Us to the Bigger Picture

The Algorithmic Bridge • 445 implied HN points • 08 Jan 25
🕹 Technology Automation
  1. The way we view technology today often makes us forget how amazing our current advancements are. We take for granted the comforts and conveniences of modern life that our ancestors could only dream of.
  2. People tend to resist new technology because it's unfamiliar or unsettling. Over time, however, we usually come to appreciate these innovations as part of our everyday lives.
  3. Understanding AI and its implications is complicated and ever-changing. We may not find clear answers today, but it’s important to embrace the ongoing evolution and the new challenges it brings.

The ArXiv Problem

Gonzo ML • 189 implied HN points • 19 Jun 25
🕹 Technology Automation
  1. Many people struggle to keep up with the overwhelming number of research papers being published, which leads to frustration and unread lists.
  2. ArXivIQ is a tool designed to help curate and summarize papers in a quicker way, providing 15-minute reads instead of lengthy sessions.
  3. The author emphasizes transparency in using AI to assist with research, acknowledging that it's unrealistic for anyone to read every important paper.

The AI Agent Spectrum

Democratizing Automation • 451 implied HN points • 18 Dec 24
🕹 Technology Automation
  1. AI agents need clearer definitions and examples to succeed in the market. They're expected to evolve beyond chatbots and perform tasks in areas where software use is less common.
  2. There's a spectrum of AI agents that ranges from simple tools to more complex systems. The capabilities of these agents will likely increase as technology advances, moving from basic tasks to more integrated and autonomous functionalities.
  3. As AI agents develop, distinguishing between open-ended and closed agents will become important. Closed agents have specific tasks, while open-ended agents can act independently, creating new challenges for regulation and user experience.

So, Yeah, AI Is Already Taking Our Jobs

The Algorithmic Bridge • 530 implied HN points • 13 Nov 24
🕹 Technology Automation
  1. AI is changing the job market quickly. Many people could lose their jobs because machines can do tasks faster and more efficiently.
  2. Learning to use AI tools is becoming important. Those who adapt and learn these skills will likely have better job prospects in the future.
  3. Despite the negative effects on some jobs, there's still hope for creativity and new opportunities. People can find ways to use AI to enhance their work instead of seeing it only as a threat.

Jobs Apocalypse

Diane Francis • 519 implied HN points • 17 Apr 23
🕹 Technology Automation
  1. Many experts believe that AI development should be paused due to safety concerns. A significant number of people think AI could harm society and want it to be regulated.
  2. A Cornell study suggests 80% of American jobs could be affected by AI, especially higher-paying roles. Many workers may find their tasks taken over by AI tools, which could lead to job loss.
  3. As AI technology advances, it will likely transform many jobs, especially in knowledge work. There's a call for governments to step in and set rules to manage this change effectively.

In artificial intelligence the world is always what we want it to be and it is so before we act.

World Game • 7 implied HN points • 27 Jan 26
🕹 Technology Automation
  1. AI functions as an external world-builder rather than just mimicking human thought, creating virtual realities that can stand in for the physical world.
  2. Digitally-native activities like software development and online commerce are easiest to automate, while tasks tied to historical contingency or embodied human contexts, such as law or healthcare, will be much harder to reproduce.
  3. Building these metaverse-like worlds will be a long, fragile process full of setbacks, attacks, and competition, and it risks producing polished, wish-fulfilling fictions that distance us from a shared reality.

AI Blogger Declares AI Will Take Every Job Except Blogging (About AI)

The Algorithmic Bridge • 435 implied HN points • 19 Dec 24
🕹 Technology Automation
  1. AI is expected to replace many jobs, but blogging about AI is seen as safe from automation. This is because it requires a unique human touch and deep understanding.
  2. AI writing often lacks personality and can produce shallow content. This makes human writers still valuable to bring freshness and relatability to their work.
  3. Some critics believe AI is fast and can churn out content that many readers enjoy, even if it's not deeply insightful. This shows there's diverse opinions on the role of AI in writing.

AI will replace you at your job if you let it

Technically • 28 implied HN points • 16 Dec 25
💼 Business Automation
  1. If you hand the core parts of your job to AI without meaningful oversight or creativity, your employer may decide the AI can do it instead of you.
  2. Relying on AI for foundational tasks prevents you from learning the craft and developing good judgment, which makes you less valuable over time.
  3. Use AI to augment your work, not replace it. Start small by automating narrow repetitive tasks, keep guardrails and testing in place, and combine model outputs with your own insight and personalization.

✨🤖 Elon Musk's true economic vision was on display at 'We, Robot'

Faster, Please! • 548 implied HN points • 11 Oct 24
🕹 Technology Automation
  1. Elon Musk believes in combining technology, clean energy, and business to create a better future. He thinks this approach can lead to more abundance instead of scarcity.
  2. At the recent 'We, Robot' event, Tesla revealed its first fully autonomous vehicle, the Cybercab, showcasing a shift towards robotics and AI.
  3. Musk is optimistic that robots and self-driving cars could greatly increase Tesla's value, projecting it might reach $30 trillion in the future.

#25: Nobody's Thinking Enough About AI

Loeber on Substack • 325 implied HN points • 09 Feb 25
🕹 Technology Automation
  1. AI technology is improving faster than most people realize. Many experts believe we could see advanced AI within a few years.
  2. The rise of AI will change jobs significantly. Many current jobs may disappear, but people might also gain more free time as automation increases.
  3. There isn't enough public discussion about the effects of AI on society. Policymakers need to start addressing these changes now to prepare for the future.

The ICML 2025 Outstanding Papers

Gonzo ML • 126 implied HN points • 28 Jul 25
🕹 Technology Automation
  1. The recent ICML 2025 Outstanding Papers show a huge amount of important research in machine learning, but many people feel overwhelmed and can't read everything in-depth.
  2. It's okay to admit that you can't keep up with all the new papers. Using AI tools can help manage the load and ensure you're still getting the important insights you need.
  3. Some of the papers focus on practical issues, like improving predictions and making AI more collaborative, which are vital for real-world applications.

Robodebt: When automation fails

Can We Still Govern? • 157 implied HN points • 23 Jun 25
🇺🇸 U.S. Politics Automation
  1. The Robodebt system in Australia failed because it used bad assumptions that caused serious mistakes, affecting many people negatively. This shows how dangerous it can be to rely on automation without fully testing it first.
  2. When the government tried to recover supposed overpayments, many vulnerable individuals faced harsh consequences, including stress and financial ruin. This highlights how automated systems can create burdens that hurt those who are already struggling.
  3. The lessons from Robodebt emphasize the need for human oversight in automated decision-making. Governments should listen to feedback and warnings from those affected to prevent future failures.

LLM Links, 2/1/2025

In My Tribe • 318 implied HN points • 01 Feb 25
🕹 Technology Automation
  1. OpenAI's new AI agent, ChatGPT Operator, can take actions online for users, like booking services. However, some feel it doesn't yet handle more complex tasks very well.
  2. Different users highlight various ways they use AI, showing that it can be useful for specific inquiries, but many still feel they are stuck in old routines.
  3. AI technology is advancing fast, leading to concerns about job loss and social changes. People think the impacts of AI will evolve slowly, despite rapid progress in the tech itself.

Agentic AI: Creating An AI Agent Which Can Navigate The Internet

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 17 Jul 24
🕹 Technology Automation
  1. WebVoyager is an AI agent that can browse the web by analyzing screenshots and deciding what to do next. It works like a human browsing the internet, using both visual and text information.
  2. The agent interacts with webpages by performing actions like clicking, scrolling, and typing. This allows it to complete tasks on websites without needing help from humans.
  3. WebVoyager's ability to handle complex web navigation shows the potential of AI agents to perform useful tasks autonomously. It learns to navigate better by using real-world websites rather than just simplified models.

Complementarities, Weak Links, AI, and Economic Growth

Economic Forces • 7 implied HN points • 05 Feb 26
💼 Business Automation
  1. Production relies on complementary tasks, so a few high-quality workers can boost output far more than many low-quality workers; quality isn’t a simple substitute for quantity, which leads skilled workers to cluster and earn much more.
  2. Intermediate goods create powerful multiplier effects across the economy—better inputs like electricity or transport raise productivity everywhere—but when these inputs are complements, the weakest link can cap overall output and help explain big rich–poor gaps.
  3. AI’s growth impact hinges on whether it substitutes for or complements other inputs; if many tasks remain hard to automate and are complementary, they become weak links that limit explosive growth and prevent the capital share from soaring to 100%.

Spacetech Failures: Analyzing Major Industry Missteps and Lessons for Investors

Space Ambition • 259 implied HN points • 29 Sep 23
🕹 Technology Automation
  1. The spacetech industry has seen many failures, like Iridium's bankruptcy and Falcon 1's launch issues, but these stories show how important it is to adapt and learn from mistakes.
  2. Space exploration is getting increasingly crowded and risky with satellite constellations like Starlink, which raises concerns about space debris and potential collisions in orbit.
  3. The integration of AI in space missions is still developing, and while AI can help reduce human errors, we need to carefully test and approve these systems for safe use in space.

What Is a Software Simulator?

CodeYam’s Substack • 39 implied HN points • 04 Jun 24
🕹 Technology Automation
  1. Simulators are valuable tools leveraged by inventors and engineers throughout history to test ideas quickly and gain insights into complex problems.
  2. A robust software simulator has qualities like a simulated environment, scenarios, isolation, and automation, which can significantly speed up the software development process.
  3. Software simulators allow testing how software performs in various scenarios, enabling faster delivery of high-quality products without the need for extensive manual testing.

Claude Projects & Artifacts 101: Build Custom AI Workspaces (60+ Templates)

The Product Channel By Sid Saladi • 20 implied HN points • 28 Dec 25
🕹 Technology Automation
  1. Projects give your AI a persistent memory and organized workspace by storing files, preferences, and chat history so you don’t have to repeat context every time.
  2. Artifacts turn outputs into visual, interactive workspaces and runnable documents so you can see and test designs or code instead of staring at walls of text.
  3. Using Projects and Artifacts together makes the AI act like a consistent, productive teammate; set up a project, upload key files, and save custom instructions to speed up daily work.

Can GPT-4 Do Science?

The Cognitive Revolution • 255 implied HN points • 15 Apr 23
🔬 Science Automation
  1. GPT-4 may not be able to do scientific experiments independently.
  2. A recent paper suggests GPT-4 can assist in scientific research like designing protocols and carrying out tasks.
  3. While AI can accelerate productivity in science, humans are still needed for innovative breakthrough ideas.

"AI Won't Take Your Job, a Person Using AI Will"—Yes, You Using AI Will Replace You Not Using It

The Algorithmic Bridge • 392 implied HN points • 11 Dec 24
🕹 Technology Automation
  1. Embracing AI tools is essential. If you don't use them, someone who does will likely take your place.
  2. Technology is becoming a part of our lives whether we like it or not. You might not notice it, but AI is already in everyday tools that can help you do better.
  3. It's common to resist new tech because we feel comfortable, but eventually, we adapt. Just like we moved from pencils to keyboards, we will embrace AI too.

Prompting GPT-4 From CSV to PDF: Automated On-the-Fly Data Viz Reports

Data at Depth • 79 implied HN points • 29 Mar 24
🕹 Technology Automation
  1. GPT-4 can now create PDF files from data on-the-fly, right in its main prompt window.
  2. The GPT-4 interface has recently undergone significant changes, integrating separate tools and plug-ins like the Advanced Data Analysis tool.
  3. You can subscribe to Data at Depth for a 7-day free trial to access full post archives, including detailed information on automating PDF reports from raw CSV data.

One True Love

Don't Worry About the Vase • 940 implied HN points • 09 Feb 24
🕹 Technology Automation
  1. The story discusses a man's use of AI to find his One True Love by having the AI communicate with women on his behalf.
  2. The man's approach included filtering potential matches based on various criteria, leading to improved results over time.
  3. Ultimately, the AI suggested he propose to his chosen partner, which he did, and she said yes.

CROSSPOST: LEIF WEATHERBY: Our Spreadsheet Overlords

Brad DeLong's Grasping Reality • 146 implied HN points • 09 Jun 25
🕹 Technology Automation
  1. AI tools like ChatGPT are often seen as super smart, but they're really just advanced digital bureaucrats. They help manage data and tasks but can hide errors behind a layer of complexity.
  2. Relying too much on AI can lead us to overlook its limitations. It doesn't think like humans; it's more about processing and translating data rather than genuine understanding.
  3. There's a risk in using AI for important tasks without careful oversight. As it automates jobs and decision-making, we need to stay aware of the potential for misuse and the loss of human judgment.