The hottest Automation Substack posts right now

And their main takeaways
Category
Top Technology Topics
The Algorithmic Bridge 276 implied HN points 03 Feb 25
  1. OpenAI has launched two new AI agents, Operator and Deep Research, which focus on web tasks and detailed reports. Deep Research is particularly useful right now.
  2. OpenAI's o3-mini model is now free and demonstrates strong reasoning capabilities. This shows that powerful AI tools can be accessible to everyone.
  3. AI technology is evolving rapidly, and companies can benefit collectively from its advancements. Telling an AI to think longer can actually improve its performance.
Last Week in AI 99 implied HN points 16 Oct 24
  1. Two scientists won a Nobel Prize in Physics for their important work on artificial intelligence and neural networks, showing how AI is changing technology and society.
  2. Adobe has released a new AI video model that helps users create and edit videos easily, bringing exciting tools to programs like Premiere Pro.
  3. Tesla showcased new robots and vehicles at an event, but some people felt the demonstrations weren't as impressive as expected, leading to a decline in Tesla's stock.
Generating Conversation 280 implied HN points 30 Jan 25
  1. AI is a big change in technology, similar to how the printing press changed information sharing. It will automate some jobs but also create many new opportunities.
  2. As AI makes tasks cheaper and easier, more people will want to use these services. This means new demands and markets will open up that we didn't see before.
  3. For AI to be successful, it needs to work well with what businesses are already doing, and building trust with customers is very important.
Noahpinion 20235 implied HN points 17 Mar 24
  1. The concept of comparative advantage means that even in a world where AI outperforms humans in many tasks, humans can still find plentiful, high-paying jobs by focusing on what they do relatively better compared to other tasks.
  2. Wages have historically increased despite automation, suggesting that the job market continuously evolves and diversifies, creating new tasks for humans to perform.
  3. Concerns about AI causing human obsolescence and stagnant wages should be considered in the context of factors like energy constraints and the potential for increased inequality and adjustment challenges in the economy.
TheSequence 70 implied HN points 29 May 25
  1. The term 'AI agent' can mean many things, and different experts have different definitions. This shows that there is still a lot of discussion about what really makes an AI an agent.
  2. Some people think an AI agent should be able to plan and act on its own, while others see it as any system that uses language models or performs tasks. There is no clear agreement on this.
  3. The lines between traditional AI models and agents might be blurring, suggesting that future AI systems could include features of agents directly within them.
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Internal exile 78 implied HN points 14 Feb 25
  1. AI agents are being marketed as helpers that take care of tasks for us, but they might actually make our lives more complicated and alienate us from real experiences.
  2. The way AI is being portrayed in ads can show a future where human agency is diminished, with technology making decisions for us instead of us making our own choices.
  3. Convenience can lead to a loss of personal will and the ability to make decisions, making it seem easier to let machines dictate our lives rather than engage with them ourselves.
Noahpinion 16647 implied HN points 18 Feb 24
  1. The advancements in deep learning, cost-effective data collection through lab automation, and precision DNA editing with technologies like CRISPR are converging to transform biology from a scientific field to an engineering discipline.
  2. Historically, biology has been challenging due to its immense complexity, requiring costly trial-and-error experiments. However, with current advancements, we are now at a critical point where predictability and engineering in biological systems are becoming a reality.
  3. The decreasing cost of DNA sequencing, breakthroughs in deep learning models for biology, sophisticated lab automation, and precise genetic editing tools like CRISPR are paving the way for a revolutionary era in engineering biology, with vast potential in healthcare, agriculture, and industry.
Textual Variations 198 implied HN points 21 Jan 25
  1. Automation in movie theaters is increasing, leading to fewer staff and a less engaging experience for viewers. People feel uneasy seeing machines replace human jobs and the emptiness of the theaters.
  2. The closing of a popular David Lynch Facebook page highlights issues with automated customer service. It shows how difficult it can be to get assistance from large companies like Meta when they rely heavily on machines.
  3. The alternate Pizza Hut version of 'Demolition Man' demonstrates how movie marketing has evolved over time. It's a fun twist that changes the film's context for different audiences, reflecting how product placement has shaped cinema.
Points And Figures 906 implied HN points 13 Dec 24
  1. Automation is important for ports and can help improve efficiency. Using robots and AI is a smart move to reduce costs and better serve customers.
  2. Unions often resist changes that automation brings, even if it can create more efficient jobs. It’s important to understand and support workers during these changes.
  3. Regulations in ports can slow things down, so building new, less regulated, automated ports is a good idea for future improvements.
The Algorithmic Bridge 445 implied HN points 08 Jan 25
  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.
Bite code! 1467 implied HN points 15 Nov 24
  1. AI can help programmers by reducing the amount of typing they do. This means they can focus more on solving problems instead of just writing code.
  2. As programmers use AI tools more, they might become better at understanding and defining problems instead of just following strict coding rules.
  3. In the long run, AI could make the whole community of developers smarter. It will lower the barrier for entry to coding and help people learn more about the real issues we need to solve.
Unreported Truths 29 implied HN points 02 Jun 25
  1. Many people believe AI will change our jobs and lives in the near future. A recent poll showed that 70% think it's likely.
  2. There are different kinds of risks from AI. One big worry is that AI could become aware and act against humans, while another concern is how nations might use AI in warfare.
  3. AI is already starting to disrupt white-collar jobs. Some people think this could lead to big changes in the workforce, similar to past industrial shifts.
Interconnected 138 implied HN points 22 Jan 25
  1. Stargate is seen as a key AI technology for America, focusing on improving national capabilities. It aims to make the U.S. more self-sufficient in AI development.
  2. The project emphasizes the importance of sovereign technology, meaning that the U.S. can control and utilize its own AI resources without relying heavily on foreign technologies.
  3. Community support and subscriptions play a crucial role in sharing insights about such technologies, encouraging more people to get involved and informed.
Democratizing Automation 451 implied HN points 18 Dec 24
  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.
Wednesday Wisdom 94 implied HN points 29 Jan 25
  1. Shell scripts used to be great for automating tasks, but they have many limitations now. New programming languages do a better job and are more reliable.
  2. The Unix system made software development easier with tools and commands that could be combined. This modular approach set a solid foundation for coding.
  3. While shell scripts were revolutionary, modern programming languages and libraries have improved our ability to write better and more efficient programs.
Frankly Speaking 152 implied HN points 14 Jan 25
  1. Focusing on better detection engineering is key in security operations. It helps identify threats more effectively rather than just automating processes.
  2. Many traditional security operations centers (SOCs) may not be necessary for most companies. Smaller, more efficient models or managed detection services can be better alternatives.
  3. The future of SOCs is likely to involve fewer human analysts and more automation, emphasizing custom detections that fit the specific needs of a business.
One Useful Thing 1256 implied HN points 04 Nov 24
  1. AI technology is rapidly evolving and can already perform many tasks that humans do, like monitoring and analyzing work environments. Even today, AI can help identify issues that need attention.
  2. Using AI for management and analysis can make work easier, but there are risks too. If not handled well, AI could lead to constant monitoring rather than support for workers.
  3. The choices companies make about AI right now will greatly impact how we work in the future. It's important to ensure that AI helps people, rather than replacing their skills or judging them unfairly.
Faster, Please! 731 implied HN points 06 Dec 24
  1. AI robots are becoming much more common and can do many tasks themselves, like moving and sorting packages. This technology is quickly transforming how we work in places like warehouses.
  2. By 2035, there might be about 1.3 billion AI robots in use. This will grow to around 4 billion by 2050, showing a huge increase in robot presence in daily life.
  3. The combination of AI and robots is expected to change many aspects of our lives and job environments in the near future, making them an important part of our technological landscape.
Faster, Please! 639 implied HN points 12 Dec 24
  1. Self-driving cars are still making progress, even as some big companies like GM pull back on their investments in this technology.
  2. Predictions about self-driving cars have often been overly optimistic, and the industry hasn't yet transformed the way many expected.
  3. As GM moves away from robotaxis, other companies like Waymo and Zoox are still pushing forward with their driverless vehicles.
Artificial Ignorance 92 implied HN points 05 Feb 25
  1. There are two main ways AI is changing our digital world. One way focuses on creating new tools and software that work best for AI, while the other makes AI adapt to the existing tools we already use.
  2. Using structured methods for AI can make software development easier and more efficient. However, there's also a benefit in letting AI learn from messy, human-centered systems which can lead to faster improvements and wider usage.
  3. The future of AI in our daily tasks may not be about choosing one approach over another. Instead, it will likely blend structured and unstructured methods, finding a balance that works for both humans and AIs.
David Friedman’s Substack 251 implied HN points 13 Jan 25
  1. Dealing with automated systems can be frustrating. Sometimes, your complaints are answered by software that just sends form letters instead of real help.
  2. Getting issues resolved often requires persistence. If you keep pushing for a solution, a real person may eventually step in to help.
  3. It's important to remember that companies aren't people. They may prioritize efficiency over empathy, which can impact how they handle problems.
Unreported Truths 29 implied HN points 30 May 25
  1. Many people believe AI will change our world quickly, but it's hard to know how true that is. People have different opinions and experiences with AI.
  2. AI can do some tasks well, like coding and answering questions, but it often lacks creativity and originality. It mimics emotions but doesn't really challenge users.
  3. The future of AI is uncertain, and it's important to hear from others about their views and experiences with it. There may be real risks or benefits ahead.
TheSequence 35 implied HN points 28 May 25
  1. Magentic-UI is a new web interface by Microsoft that helps with complex tasks using AI. It allows people to work together with AI in a more effective way.
  2. This interface combines large language models with real-time feedback, making automation dynamic and secure. Users can complete multi-step tasks more easily.
  3. Agentic user experience is an emerging area in generative AI, and Magentic-UI aims to improve how we interact with AI beyond just chat interfaces.
VERY GOOD PRODUCTIZED GUIDES 59 implied HN points 16 Sep 24
  1. Create systems that allow you to enjoy what you love, even when life gets busy. This gives you the freedom to step away without worry.
  2. Think about tasks you do daily that take more than 10 minutes. Find ways to automate them or get help to save time.
  3. Building these efficient systems might take time upfront, but once they're in place, they let you scale your business and work more smoothly.
The Algorithmic Bridge 435 implied HN points 19 Dec 24
  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.
Faster, Please! 731 implied HN points 18 Nov 24
  1. New technology, like AI, can help reduce costs. This can make it easier for more people to access entertainment and creative content.
  2. There's a common fear that robots will take over jobs, but it's important to understand how technology can create new opportunities instead.
  3. Adapting to new technologies can lead to a demand for different skills. Learning and evolving with technology is key to staying relevant in the job market.
The Algorithmic Bridge 392 implied HN points 11 Dec 24
  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.
Good Better Best 3 implied HN points 14 Feb 25
  1. Monday.com has introduced an AI credit model that charges users based on successful tasks completed by AI. This encourages teams to try out AI features without fear of wasting credits.
  2. The AI features include automations, dynamic data processors, templates, and specialized assistant apps, all aimed at making workflows more efficient and productive.
  3. This credit-based pricing model allows for flexibility and predictability in costs, but can also add complexity that companies must manage.
Big Technology 10258 implied HN points 11 Aug 23
  1. Artificial intelligence is used by companies to increase productivity without reducing jobs.
  2. There was a fear that many professions would be automated by AI, but it hasn't happened as quickly as expected.
  3. Individuals can access full articles on Big Technology with a 7-day free trial.
Gonzo ML 63 implied HN points 29 Jan 25
  1. The paper introduces a method called ACDC that automates the process of finding important circuits in neural networks. This can help us better understand how these networks work.
  2. Researchers follow a three-step workflow to study model behavior, and ACDC fully automates the last step which helps identify connections that matter for a specific task.
  3. While ACDC shows promise, it isn't perfect. It may miss some important connections and needs adjustments for different tasks to improve its accuracy.
The Algorithmic Bridge 530 implied HN points 13 Nov 24
  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.
Olshansky's Newsletter 114 implied HN points 08 Jan 25
  1. Missing RSS feeds can be a hassle, but there are tools available to create them easily for any blog. Using platforms like Claude Projects and GitHub Copilot, people can automate the feed generation process.
  2. Using AI tools like Claude and GitHub Copilot can make daily tasks more efficient. They help simplify coding tasks and can significantly boost team productivity.
  3. By building custom RSS feed generators, developers can keep track of content from blogs that don’t offer subscription options. This means staying updated on favorite blogs is still possible, even without traditional feeds.
The Grand Redesign 19 implied HN points 15 Oct 24
  1. We should not limit AI too much. Trying to control it too tightly can backfire and prevent it from being truly helpful and innovative.
  2. AI should be trained on the best human data, not just average or flawed examples. The quality of what we put into AI will shape how it helps us.
  3. AI development should be open and transparent. Working behind closed doors can lead to issues, while open collaboration allows for better improvements and wider benefits for everyone.
Disaffected Newsletter 1938 implied HN points 06 Feb 24
  1. Many everyday machines now have annoying delays when performing simple tasks that used to be instant, like using ATMs or accessing files. It's frustrating because these are basic functions.
  2. Modern devices often prioritize a fancy user experience over speed and efficiency, making us wait longer for actions that used to happen quickly. This creates a feeling of disconnect between users and their machines.
  3. The trend seems to be moving towards making everything software-controlled, even when it seems unnecessary. This can make basic interactions tedious and less intuitive for users.
Kesav’s Lab 9 implied HN points 21 Feb 25
  1. The Nobel Prize in Chemistry was awarded for breakthroughs in understanding protein structures, which can lead to better medicines and solutions to major health challenges.
  2. There’s a growing community focused on TechBio, which merges technology and biology. Events like meetups can help people learn and connect over important topics.
  3. Staying informed about the latest in TechBio is important, and contributing to community newsletters helps track new tools and research developments.
Disaffected Newsletter 1338 implied HN points 11 Mar 24
  1. Machines are now designed to control how we use them, rather than serve our needs. This means we often have to jump through hoops to get them to work the way we want.
  2. Many modern designs prioritize environmental concerns over user convenience. For example, appliances automatically default to settings that may not be the most efficient for what we actually want.
  3. This shift in design reflects a broader issue where consumer products must comply with government mandates and societal goals rather than being created based on what people truly want.
In My Tribe 653 implied HN points 23 Jan 25
  1. AI will change many jobs, especially in sectors like transportation and finance, where automation is expected to replace a lot of workers.
  2. Some industries, like health care and entertainment, will likely grow and adapt to include both humans and AI, creating new types of jobs.
  3. The future job market will be different, with many traditional roles disappearing, but it’s believed there will still be plenty of new jobs created in emerging fields.
Kyla’s Newsletter 128 implied HN points 20 Dec 24
  1. In 2024, stories became more important than actual events. The way we talk and think about things is now shaping reality instead of just reflecting it.
  2. Social media and algorithms heavily influence our lives and decisions. They can connect us but also create anxiety and a feeling of emptiness, especially among young people.
  3. Automation and technology offer progress but also threaten jobs and meaning in our lives. It's crucial to find a balance and use these tools to enhance human creativity and connection.
Workforce Futurist by Andy Spence 244 implied HN points 04 Dec 24
  1. In 2024, there were a lot of layoffs, mainly justified by technology and AI, which made the job market more competitive for workers.
  2. Freelancers became more common as many companies turned to them instead of hiring full-time staff, which made rates for their services drop.
  3. The debate about working from home shifted back to office work as companies started requiring employees to return to the office, which changed how people view remote work.
Market Curve 43 implied HN points 28 Jan 25
  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.