The hottest Automation Substack posts right now

And their main takeaways
Category
Top Technology Topics

Say Hi to automation on LiquidOps!

bolt.observer • 39 implied HN points • 25 Apr 23
🕹 Technology Automation
  1. Observability in decision-making is crucial for success and competitive edge.
  2. Automated workflows can optimize node management for more efficiency.
  3. Automated liquidity management features, like Auto Swaps, enhance user experience and flexibility.

💫 Co-bots: how to think of the synergy between Humans and Machines

Work3 - The Future of Work • 39 implied HN points • 08 May 23
🕹 Technology Automation
  1. Humans will always be needed in collaboration with AI for responsibility, personalization, and addressing biases.
  2. Co-bots are collaborative software-robots designed to enhance productivity and efficiency by performing various tasks alongside humans.
  3. Learning in the age of information abundance can be facilitated by AI, providing access to all answers, interactive learning, and practical examples.

SRE book notes: Wrapping Up

Bit Maybe Wise • 39 implied HN points • 13 Apr 23
🕹 Technology Automation
  1. The SRE book includes useful additional materials like availability tables and best practices.
  2. The book covers a wide range of topics related to Site Reliability Engineering.
  3. It emphasizes key practices such as embracing risk, eliminating toil, and effective troubleshooting.

Your robot thinks you are an object

Silicon Reckoner • 39 implied HN points • 15 Apr 23
🔬 Science Automation
  1. Your robot might consider you as an object in the future of automation.
  2. The concept of 'objectivity' in mathematics raises philosophical questions about value judgments.
  3. Automation and AI advancements could impact decision-making processes and governance across various fields.
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Automated Reserved Instances

Ops Sorry • 39 implied HN points • 05 Jun 23
🕹 Technology Automation
  1. Companies nowadays focus on cost-effective approaches for efficiency and innovation.
  2. Efficiency is crucial for innovation and reinvestment in products and services.
  3. Automated Reserved Instances can provide automation, near full coverage, and instant savings, but careful assessment is needed before subscribing.

Digging into GitHub Actions

One Thing at a Time • 39 implied HN points • 24 Mar 23
🕹 Technology Automation
  1. Automate project management and collaboration tasks with GitHub Actions to improve efficiency and code quality.
  2. Integrate GitHub Actions with Project Boards to streamline project management and task tracking.
  3. Collaborate with external teams and services using GitHub Actions to facilitate seamless communication and integration.

Automation does not imply joblessness

Augmented • 39 implied HN points • 20 Apr 23
🕹 Technology Automation
  1. Automation does not necessarily mean people lose their jobs.
  2. Large language models will impact various job tasks, but not always replace them entirely.
  3. Human oversight is crucial in handling the unpredictability of AI and large language models.

AI breakthrough

Rahul’s Newsletter • 39 implied HN points • 26 Mar 23
🕹 Technology Automation
  1. The AI breakthrough at the Microsoft event was groundbreaking and showcased a new era of tools.
  2. The use of advanced AI tools will have a significant impact on society, becoming the new normal for younger generations.
  3. While embracing new technology is important, there is concern about the potential automation of complex skills and the limitations it may place on human agency.

Must Learn AI Security Compendium 7: What is Generative Automation?

Rod’s Blog • 39 implied HN points • 04 Oct 23
🕹 Technology Automation
  1. Generative automation uses generative AI to automate tasks that require creativity or human-like reasoning, like writing a poem or designing a logo.
  2. Generative automation benefits various industries by helping with content creation, design, education, research, and more.
  3. Security challenges in generative automation include data security, access control, malicious code, third-party dependencies, human error, and lack of transparency.

Preparing the SOC for Generative AI

Rod’s Blog • 39 implied HN points • 05 Sep 23
🕹 Technology Automation
  1. Before implementing Generative AI in a SOC, it's important to configure incident tags to provide more information for AI.
  2. Assigning specific incidents to analysts based on skillsets through automation rules can enhance SOC efficiency.
  3. Practicing gathering information to create better Generative AI prompts is crucial for successful AI utilization in a SOC.

what happens when we hollow out work?

State of the Future • 39 implied HN points • 12 Mar 25
🕹 Technology Automation
  1. People might react strongly to job losses caused by AI. Some may feel despair and turn inward, while others might fight back and protest.
  2. History shows that when people feel powerless due to industrial changes, they often rebel. This could happen again with the rise of automation in the workforce.
  3. To move forward, we need to find new meaning and purpose in our lives that aren't tied to work. Embracing community and personal connections may be key to thriving in a future with less traditional employment.

How I made Quickview, my AI-based Crypto Newsletter

Implementing • 19 implied HN points • 05 Feb 24
🕹 Technology Automation
  1. Quickview is a newsletter created to share AI-based summaries of YouTube videos from crypto creators, helping subscribers stay informed and connected with the crypto community.
  2. Database modeling for this project involves tables for videos, creators, categories, languages, summaries, and newsletters on Substack, creating a structured system.
  3. Automation in the process includes collecting YouTube videos, generating summaries with ChatGPT, and publishing a new post daily using scheduled tasks and Heroku, optimizing efficiency.

We must stop muting like this

Soaring Twenties • 255 implied HN points • 01 May 23
🕹 Technology Automation
  1. An intelligent machine would be able to handle muting and be reasonable in interactions.
  2. Dealing with stupid machines can be frustrating and lead to absurd situations.
  3. It's preferable to interact with intelligent machines rather than sophisticated automated morons.

Rabbit Holes 🕳️ #123

Creative Destruction • 20 implied HN points • 09 Jul 25
🕹 Technology Automation
  1. Capitalism has borrowed too much from the future, making sustainable and ethical products expensive. It shows that we need bigger societal changes, like basic income or new ways to share resources.
  2. Many people feel depersonalized and unseen in today’s tech-driven world. This lack of personal connection creates a crisis where people feel invisible, highlighting the importance of being recognized and valued.
  3. AI technology is often used to hide and minimize human labor, making it seem less visible. Instead of fostering creativity, AI shifts work to less visible places and can even weave itself into monopolistic systems that repeat old patterns.

Reinventing the Wheel of Data Activation

Sarah's Newsletter • 99 implied HN points • 26 Jul 22
🕹 Technology Automation
  1. Data activation is not just a concern for the data team; it affects the entire data ecosystem and requires consideration of how data moves from one destination to another.
  2. Tools like Zapier and Make are essential for activating data, even bypassing warehouses, though maintaining software engineering principles like testing and version control is crucial for data teams.
  3. Integration bridges will always be necessary to connect applications that aren't warehouse-native, highlighting the importance of scalable systems and minimizing potential points of failure in data movement.

Maximizing Product Management Efficiency with ChatGPT and Generative AI

An Innovator's Sketchbook • 19 implied HN points • 28 Jan 24
🕹 Technology Automation
  1. Leverage AI to boost personal productivity in product management through planning, execution, and user feedback analysis.
  2. Use large language models (LLMs) in product strategy for idea generation, evaluation, and decision-making.
  3. Optimize day-to-day efficiency by using AI to break down goals into manageable tasks and plan daily schedules.

The Sequence Opinion #470: Open Endedness AI Could be All We Need

TheSequence • 49 implied HN points • 16 Jan 25
🕹 Technology Automation
  1. Open-Endedness AI focuses on creating systems that can learn and adapt over time, rather than just completing specific tasks. This allows AI to innovate and find new solutions continuously.
  2. This new approach to AI research aims for something called artificial general intelligence (AGI), which means AI that can perform a wide range of tasks like a human can. It's a big step towards smarter technology.
  3. However, developing Open-Endedness AI comes with challenges. Researchers must find ways to ensure these systems can learn effectively without becoming unreliable or out of control.

Using AI to accelerate hiring and productivity at Zapier

Engineering Enablement • 4 implied HN points • 03 Dec 25
🕹 Technology Automation
  1. Build lightweight AI agents to remove coordination and repetitive overhead so engineers can focus on the work only they can do.
  2. As AI cuts administrative work, each hire becomes more productive. That makes adding headcount more attractive than reducing it.
  3. Deploy agents iteratively: start with real bottlenecks like standups and onboarding, test in safe channels, and maintain observability and governance to measure and scale what actually improves outcomes.

Here Come The Drones

Gradient Ascendant • 20 implied HN points • 25 Jun 25
🕹 Technology Automation
  1. Drones are now a major part of modern warfare, making up a big percentage of military casualties. They are being used in conflicts worldwide, showing how advanced and dangerous drone technology has become.
  2. Anti-drone measures are evolving as quickly as drones themselves, with new technologies like fiber-optics and AI making drones harder to jam or intercept. This back-and-forth between attack and defense is changing how wars are fought.
  3. The predictions about drone warfare and its implications have largely come true, with autonomous drones making complex decisions on their own. Meanwhile, the practical use of drones for delivery and other peaceful purposes hasn’t developed as expected.

Generating a Human Response to Artificial Intelligence on The Future of Work

Workforce Futurist by Andy Spence • 244 implied HN points • 22 Mar 23
🕹 Technology Automation
  1. ChatGPT is a powerful generative AI tool that is rapidly developing and has various applications in automation and work tasks.
  2. The impact of AI on work is significant, with potential job task implications for the workforce, especially in white-collar professions.
  3. Society needs to address challenges related to AI regulation, digital access divide, bias prevention, and reimagining the future of work that balances human and machine capabilities.

SaaS 2.0 - Service as a Software.

Market Curve • 43 implied HN points • 28 Jan 25
🕹 Technology Automation
  1. AI agents can do many tasks by themselves, like booking travel or coding, which is different from the usual software that only helps people do their work. This means less manual work and more automation in our daily tasks.
  2. There are huge markets out there, like IT services and healthcare, that are ready for change. AI agents can disrupt these fields by making processes faster and more efficient, allowing businesses to save money and time.
  3. The future looks promising for those who embrace AI. By freeing people from repetitive tasks, AI agents can help us focus on more creative and important work, opening up new opportunities in various industries.

The Case for an Anti-productive AI

escape the algorithm • 39 implied HN points • 09 May 23
🕹 Technology Automation
  1. AI tools can be utilized for anti-productive purposes like fostering connection and reflection, not just productivity.
  2. As AI technology advances, we may gain unprecedented control over tools but risk losing control of our time and responsibilities.
  3. There is potential to reclaim AI to slow down, pay attention, and deepen connections rather than solely focusing on productivity and output.

Nobody Should Write ETL

Data People Etc. • 231 implied HN points • 23 Mar 23
🕹 Technology Automation
  1. Consider shifting away from manual ETL processes towards automated solutions.
  2. End-to-end ownership can lead to duplication and inefficiency in data workflows.
  3. Asset-aware orchestration can offer a more efficient and automated approach to managing data pipelines.

Sometimes complicated is clearer

CodeFaster • 36 implied HN points • 19 Feb 25
🕹 Technology Automation
  1. Complicated things can sometimes be clearer than simple ones. It can help to look at details closely. It's okay to dive deeper to understand better.
  2. Taking screenshots at different intervals can help document changes over time. This can be useful for tracking progress or capturing important moments.
  3. Support from readers can help content creators keep producing work. Subscribing, whether free or paid, can make a difference.

Tech doesn’t make our lives easier. It makes them faster

Altered States of Monetary Consciousness • 160 HN points • 04 Oct 23
🕹 Technology Automation
  1. Tech is not designed to make our lives easier, but to make them faster and more packed with tasks.
  2. Our use of technology often leads to systemic acceleration, where we do more in the same amount of time, instead of enjoying leisure.
  3. To break free from the cycle of constantly speeding up, we need to value balance, build power structures that protect us, and question the illusion that more technology equals easier lives.

AI Isn’t Good Enough

Irregular Ideas with Paul Kedrosky & Eric Norlin of SKV • 172 HN points • 23 Aug 23
🕹 Technology Automation
  1. There is a significant shortage of workers in the U.S. across various industries, leading to the need for automation.
  2. Current AI technology has limitations and is not yet capable of addressing the workforce shortage effectively.
  3. To avoid economic disruptions, future automation needs to focus on delivering high productivity gains that outweigh worker displacement.

AI and Junior White Collar Automation: Update after EIG’s New Report

State of the Future • 12 implied HN points • 12 Aug 25
🕹 Technology Automation
  1. AI is changing how work gets done, especially in handling tasks. It makes sense to focus on how AI affects the types of jobs rather than just the number of jobs.
  2. There's evidence that AI hasn't led to big job losses in white-collar roles yet, but it's changing the landscape of entry-level positions. Many jobs for new graduates are declining.
  3. As companies adopt AI, they are starting to shift tasks among current workers instead of laying people off. This means the impact of AI on jobs might show up later as firms adjust their hiring practices.

Active Prompting with Chain-of-Thought for Large Language Models

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 05 Jan 24
🕹 Technology Automation
  1. AI can help improve language models by using a four-step process: estimating uncertainty, selecting uncertain questions, annotating them, and making final inferences. This helps ensure better answers.
  2. Using human annotations along with AI makes the training data clearer and reduces confusion. It allows us to focus on the most important information for the models.
  3. Companies can benefit from this approach by streamlining how they handle data. It promotes a more organized way of discovering, designing, and developing data.

Good data engineers are lazy

Data People Etc. • 213 implied HN points • 30 Mar 23
🕹 Technology Automation
  1. Good data engineers strive for automation to be as lazy as possible.
  2. Reevaluate the necessity of tools in the data stack and aim for streamlined, efficient systems.
  3. Declarative paradigm and proper architecture design are crucial for data engineers to optimize efficiency and consistency.

All I want in AI is some context and a chat window

Pedram's Data Based • 20 implied HN points • 22 May 25
🕹 Technology Automation
  1. Having a simple chat interface makes it easy for non-technical people to use AI tools. This helps in accessing valuable resources without needing complex setups.
  2. Providing relevant context is crucial for the effectiveness of AI. When the right information is fed to AI, it can give much better and accurate responses.
  3. Integrating tools and data sources can improve AI's capabilities but remains a challenge. Companies need better systems to pull together all the necessary information for their teams.

Sales and Marketing and Dev Ops, Oh My!

Sarah's Newsletter • 99 implied HN points • 26 Apr 22
💼 Business Automation
  1. Efficiency in operational teams is crucial for the overall effectiveness of an organization. They play a vital role in supporting other departments to work faster and better.
  2. Operational teams like SalesOps, MOps, and DevOps have unique functions but share a common goal of increasing efficiency and saving time for the organization.
  3. Current tools and practices in operational teams can still involve manual tasks, hindering efficiency. Providing education and support for scale is essential for driving true efficiency across all operational areas.

Y Combinator S23 Demo Day: AI & Dev Tools Dominate

Golden Pineapple • 158 implied HN points • 30 Aug 23
🕹 Technology Automation
  1. 70% of the top YC S23 companies are focusing on AI and Developer Tools.
  2. Key trends from the YC S23 batch include AI and automation, developer-centric solutions, and financial compliance platforms.
  3. Top companies are showcasing a mix of AI-driven solutions, developer tools, fintech platforms, and a focus on user experience.

Vulnerability Disclosure Programs (VDP) and PSIRT's

Resilient Cyber • 79 implied HN points • 18 Dec 22
🕹 Technology Automation
  1. Vulnerability Disclosure Programs (VDP) help software suppliers communicate vulnerabilities to users. Having a clear VDP builds trust and prepares organizations for potential security issues.
  2. A Product Security Incident Response Team (PSIRT) focuses on managing and responding to security issues in products. PSIRTs help organizations effectively analyze vulnerabilities and communicate solutions to their consumers.
  3. Maturity levels for PSIRTs range from basic to advanced, with advanced teams being proactive and integrating security into product development. This approach ensures better security practices and communication throughout the supply chain.

The Wide and Wondrous World of Centaurs and Agents

Future History • 170 implied HN points • 23 Jun 23
🕹 Technology Automation
  1. Centaurs and Agents are a new type of software that blend human input with autonomous decision-making capabilities.
  2. Individuals benefit more from Centaurs than companies due to easier adoption and productivity gains.
  3. Small, specialized AI applications will be in high demand, bridging the gap between different software systems and reducing tedious tasks.

What 1,250 Workers Really Think About AI (And Why You’re Probably Lying to Yourself)

The Product Channel By Sid Saladi • 3 implied HN points • 07 Dec 25
🕹 Technology Automation
  1. There’s a big perception gap: people say AI mostly augments them, but actual behavior shows heavy automation, so you must measure real usage not just ask users.
  2. Social stigma makes many professionals hide their AI use, which skews adoption metrics and creates workplace theater, so design for disclosure comfort and respect identity.
  3. Different professions treat AI differently — creatives want control and pride, scientists want trustworthy, explainable partners, and general workers want to preserve identity — so segment by professional identity and build transparency and reliability features.

Delivering a Revamped Mailbox

Splitting Infinity • 19 implied HN points • 28 Nov 23
🕹 Technology Automation
  1. Automation of the supply chain is crucial for lowering shipping costs and reaching more people at a lower cost.
  2. Innovative mailboxes can revolutionize how goods are delivered, making it bidirectional and enabling easier access to global markets for home producers.
  3. Automated mailboxes have the potential to streamline product returns, recycling, and extend the sharing economy to every household item.

Event-Driven Agent Mesh

SUP! Hubert’s Substack • 40 implied HN points • 21 Nov 24
🕹 Technology Automation
  1. An agent mesh is a modern system where multiple AI agents work together to handle tasks more efficiently. This helps break down complex work into smaller parts that specialized agents can manage.
  2. The event-driven architecture allows agents to join or leave the mesh easily, making the system scalable and adaptable to changing needs. This means agents can respond quickly to new information or demands.
  3. Using technologies like Kafka with an agent mesh enables fast communication between agents and helps ensure that no data is lost. This makes the entire system more reliable and capable of handling a lot of information at once.