The hottest Automation Substack posts right now

And their main takeaways
Category
Top Technology Topics

Future of Work in 2024 – Latest Scores

Workforce Futurist by Andy Spence • 244 implied HN points • 04 Dec 24
💼 Business Workplace Freelancing Technology Remote work Automation
  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.

SaaS 2.0 - Service as a Software.

Market Curve • 43 implied HN points • 28 Jan 25
🕹 Technology AI agents Software Automation Labor Market
  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.

Automating API Discovery with RFC 9727

The API Changelog • 6 implied HN points • 20 Jun 25
🕹 Technology APIs Software Development Data Formats Automation
  1. RFC 9727 introduces a way to easily find and use APIs through a programmatic catalog. This means both humans and machines can discover APIs more efficiently.
  2. It uses predefined paths and techniques like 'well-known' URIs to help consumers locate an api-catalog. This makes it simpler for anyone looking to advertise their APIs.
  3. The api-catalog document can have different formats, but it must include a list of links to APIs. However, having a consistent format could help consumers understand and discover the APIs better.

The best automated GTM plays you’re not running

Kyle Poyar’s Growth Unhinged • 410 implied HN points • 12 Feb 25
💼 Business Sales Marketing Automation Technology
  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.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

The End of Typing?

Workforce Futurist by Andy Spence • 293 implied HN points • 20 Nov 24
🕹 Technology AI Workplace Communication Automation Training
  1. Voice AI is changing how we work by making it easier to interact with technology using natural speech. This means less typing and more talking, similar to how we chat in real life.
  2. There are great uses for voice AI at work, like in training for customer service and leadership. It helps people practice important conversations in safe environments, leading to better performance.
  3. Implementing voice AI takes effort and thought. Companies need to find ways to use it effectively while also considering privacy and ethical issues. It’s about fitting the right tool to the right job.

When Will AI Take Your Job?

Uncharted Territories • 2908 implied HN points • 21 Mar 23
🕹 Technology AI Automation Employment Productivity Innovation
  1. Artificial intelligence is advancing rapidly and may lead to job automation, especially in intellectual and unregulated fields.
  2. Industries that can withstand automation vary based on factors like demand saturation, regulations, and non-informational work components.
  3. New businesses are easier to start but may not create a large number of jobs, leading to a future with more billionaire founders and few employed individuals.

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

Faster, Please! • 548 implied HN points • 11 Oct 24
🕹 Technology AI Robotics Entrepreneurship Clean Energy 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.

Why AI Agents Feel Contrived and Useless, Despite the Impressive Demos

Enterprise AI Trends • 612 implied HN points • 16 Jan 25
🕹 Technology AI Software Engineering Innovation Automation
  1. AI agents work best in simple tasks, but they might confuse people in more complex situations. Humans need to be involved to understand the creative process.
  2. When AI does too much on its own, it can be harder for people to trust and evaluate its work. This can lead to mistakes that are hard to spot later.
  3. Businesses usually prefer working with guided AI tools instead of fully autonomous agents. They want reliability and clear understanding over just speeding things up.

Forecasting, Game QA, and Personalized Embodied Agents

ppdispatch • 8 implied HN points • 30 May 25
🕹 Technology AI Machine Learning Game Development Forecasting Automation
  1. A new type of learning called outcome-based reinforcement learning is helping smaller language models make accurate predictions, even better than some big models.
  2. Researchers are looking at how AI agents remember information to provide personalized help, but they still struggle with remembering complex user preferences.
  3. A new benchmark for video game testing helps measure how well AI models can find bugs and glitches in games, making the testing process better and more efficient.

The Next Wave of AI: Building Your Own Digital Workforce

Workforce Futurist by Andy Spence • 244 implied HN points • 13 Nov 24
🕹 Technology AI Development Automation Task management Innovation
  1. Agent Engineering lets anyone create their own AI assistants. You don't need to be a tech expert to design these digital helpers for personal or work tasks.
  2. AI agents can help with brainstorming and managing projects. They can suggest ideas and organize meetings, making team collaboration smoother.
  3. Building and using these AI agents can boost productivity and learning. You can also practice communication skills in a safe space with them.

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

ChinaTalk • 429 implied HN points • 24 Jan 25
🕹 Technology AI Data Policy Automation Economics
  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.

AI Won't Kill Us But It Will Take Our Souls

Discourse Blog • 1061 implied HN points • 31 Jan 24
🕹 Technology AI Industry Ethics Art Automation
  1. AI is being developed with a focus on maximizing profit and control rather than enhancing human life or creativity.
  2. There are concerns about AI replacing human jobs, especially in fields like content writing, where the quality of AI-generated work is still inferior.
  3. There is a fear that AI industry leaders prioritize profit and control over preserving aspects of the human experience that should be kept free from AI influence.

LLM Links, 2/1/2025

In My Tribe • 318 implied HN points • 01 Feb 25
🕹 Technology AI Innovation Automation Machine Learning Digital Tools
  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.

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

Pedram's Data Based • 20 implied HN points • 22 May 25
🕹 Technology AI Software Interfaces Automation Data Management
  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.

Robot Revolution?

Daniel Pinchbeck’s Newsletter • 14 implied HN points • 31 May 25
🕹 Technology AI Automation Economics Labor Society
  1. AI is taking over many jobs, especially in tech and creative fields, causing big layoffs and making it hard for new graduates to find work.
  2. There’s a growing concern that AI could create a rich vs. poor divide where a few tech owners become extremely wealthy while most people become jobless and struggle to get by.
  3. To address these changes, we need new ideas about how society should work, moving away from just making money to focusing on community, creativity, and ensuring everyone has what they need.

#25: Nobody's Thinking Enough About AI

Loeber on Substack • 325 implied HN points • 09 Feb 25
🕹 Technology AI Software Innovation Automation Policy
  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.

AI's seductive mirage

The Uncertainty Mindset (soon to become tbd) • 99 implied HN points • 24 Jul 24
🕹 Technology AI Automation Data Analysis Human-AI Interaction Product Development Ethics
  1. AI systems look like they can think independently, but they really can't. They are tools that need humans to make decisions about value.
  2. Meaning-making is a core human skill that AI lacks. Only humans can decide what actions are meaningful and worthwhile.
  3. When we treat AI as if it can make important decisions, we risk misusing it. It's crucial to keep humans involved in the decision-making process.

Troubleshooting in a Future with AI TPMs

Building Rome(s) • 3 implied HN points • 13 Jun 25
🕹 Technology AI Project management Automation Process Improvement Workplace dynamics
  1. Troubleshooting is about finding out what's wrong when things don't go as planned. It involves understanding complex issues that can come from different sources like technical problems or team dynamics.
  2. AI can help recognize patterns and surface issues quickly, but it might struggle with understanding the emotional and human aspects of problems. This is where a human touch is still very important.
  3. As organizations rely more on automation, the ability to troubleshoot might decline. It's crucial to develop this skill to ensure problems are caught and solved before they escalate.

✨ The impact of AI and jobs: A Quick Q&A with … Daniel Rock of the Wharton School

Faster, Please! • 274 implied HN points • 16 Oct 24
🕹 Technology AI Work Innovation Economics Automation
  1. AI could become a general-purpose technology if it applies widely across many industries and leads to real changes in how we work. We need to see if it really changes innovation in significant ways.
  2. Many jobs could be affected by AI tools, with some reports suggesting that up to 46% of jobs could see more than half their tasks impacted. This shows how powerful AI might be in the workplace.
  3. It's likely that using AI will change not just individual tasks but also how organizations operate and make decisions. This means workplaces will need to adjust to new ways of working.

The AI Agent Spectrum

Democratizing Automation • 451 implied HN points • 18 Dec 24
🕹 Technology AI agents Reinforcement Learning Software Development Digital Tools 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.

How Do TPMs Drive Accountability When AI Owns the Work?

Building Rome(s) • 7 implied HN points • 05 Jun 25
🕹 Technology AI Automation Software Management Productivity
  1. As AI takes on more tasks, it's important to think about who is responsible for the outcomes. If something goes wrong, we need a clear person to turn to.
  2. The way we manage accountability will change as fewer people work on tasks and more AI agents do the work. It could become harder to track who is responsible when problems arise.
  3. There might be a need for new systems to keep track of AI decisions and their results. This way, we can still ensure accountability even when computers do much of the work.

Wrath of the AI-Zilla

SAURABH SAHA • 11 implied HN points • 04 Feb 25
🕹 Technology AI Machine Learning Automation Product Management Economic Impacts
  1. Many people feel confused and scared about AI, especially since its rapid growth began in 2022. Some workers worry their jobs might become obsolete due to new technologies.
  2. Only a small percentage of people truly understand AI and how to build its applications. Most people just use AI tools without knowing how they work under the hood.
  3. As AI continues to advance, it could create a divide between those who know how to work with it and those who don't, leading to fewer job opportunities for many and greater wealth for a select few.

Numlock News: January 8, 2024 • Robots, Ramen, Star Citizen

Numlock News • 786 implied HN points • 08 Jan 24
🕹 Technology Gaming Food Books Automation Software
  1. Star Citizen is a video game in alpha development raising massive funds through selling digital spaceships.
  2. Instant ramen sales are booming globally, with a spicy chicken-flavored soup gaining popularity in the US.
  3. Automation struggles as some tasks are easy for humans but difficult for robots, showcasing a low robot usage rate in US manufacturing plants.

AI is a funny coworker

Sunday Letters • 39 implied HN points • 18 Aug 24
🕹 Technology AI Machine Learning Product Design User Experience Automation
  1. AI tools can be very intelligent and quick, but they also sometimes make things up and can be frustrating to work with.
  2. These AI coworkers are always available and eager to help, but they struggle with remembering context and prefer to start over rather than make small changes.
  3. Improving interaction with AI is important, and with better design and usability, they can become more effective and user-friendly in the workplace.

What happens if mass unemployment never arrives

State of the Future • 126 implied HN points • 05 Mar 25
💼 Business Employment Automation Work Culture Economic Impact Technology Trends
  1. Mass unemployment might not happen, but instead, we may see job roles that are less meaningful or filled with busywork. This could lead to people being employed without feeling fulfilled.
  2. The speed of AI's impact on jobs is much faster than previous technologies. Workers may struggle to adapt since the transitions that used to take generations are now happening in just a few years.
  3. People might still need jobs for their sense of identity and purpose, even if those jobs are not necessary for the economy. Finding meaning in work could become a bigger issue than just having a job or not.

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

Faster, Please! • 1370 implied HN points • 05 Feb 24
🕹 Technology AI Demographics Economy Future scenarios 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.

The Rise of the Agentic Workforce

Tanay’s Newsletter • 220 implied HN points • 29 Jan 25
💼 Business Startups Automation Market Trends
  1. AI is becoming more common in workplaces, taking on roles similar to human coworkers. This means more companies are using AI to help with tasks that were once done by people.
  2. These AI workers are designed to do specific jobs, promising to make work easier and faster. They are often created to handle certain tasks well, rather than do everything a human does.
  3. AI workers can change how businesses spend money, as they focus on labor budgets instead of software budgets. This could lead to new pricing models based on actual work done, rather than just user licenses.

LLM Links, 1/17

In My Tribe • 212 implied HN points • 17 Jan 25
🕹 Technology AI Innovation Productivity Automation Regulation
  1. Intelligence can help us break down regulatory barriers and improve cooperation. A higher baseline of intelligence might push us to recognize and fix our bad decisions more easily.
  2. The adoption of AI will be slow because organizations and systems take time to change. Even with advanced AI, many people might not notice its presence right away.
  3. Bill Gates believes AI will take over routine tasks, leaving creative work for humans. However, there’s a chance that AI could also become creative, challenging the idea that humans are solely responsible for creativity.

7 perspectives on machine learning

Mindful Modeler • 279 implied HN points • 09 Apr 24
🕹 Technology Machine Learning Data interpretation Automation Optimization Computing
  1. Machine learning is about building prediction models. It covers a wide range of applications, but may not be perfect for unsupervised learning.
  2. Machine learning is about learning patterns from data. This view is useful for understanding ML projects beyond just prediction.
  3. Machine learning is automated decision-making at scale. It emphasizes the purpose of prediction, which is to facilitate decision-making.

AI Is A Car That Everyone Expects To Be A Spaceship

Beekey’s Substack • 59 implied HN points • 24 Jul 24
🕹 Technology AI Machine Learning Data science Automation Software Development
  1. AI has made great improvements, especially with tasks that involve generating human-like responses and art. However, many people are getting carried away with the hype about its capabilities.
  2. Machine learning allows AI to recognize patterns in data, but it doesn't actually understand content like a human does. This means it can make mistakes that a human wouldn't.
  3. The idea of creating Artificial General Intelligence (AGI) from current AI is questionable because we still don't fully understand how human intelligence works. It's not just about being faster; something fundamental is still missing.

The A.I. Bloodhounds Are on My Trail

I Might Be Wrong • 11 implied HN points • 30 Jan 25
🕹 Technology AI Comedy Writing Content creation Automation
  1. A new AI chatbot called DeepSeek is improving and could be a threat to writers. It shows a better grasp of comedy than previous AI versions, making some writers concerned about their future.
  2. The AI's attempts at humor mimic certain styles but still struggle with logic and factual accuracy. It can copy formats and jokes, but often misses the mark on meaningful analysis.
  3. Despite the AI's growing capabilities, it lacks a true understanding of context or truth, which means human writers still have an edge when it comes to creating content that makes sense.

Neural Network Fail Compilation

Top Carbon Chauvinist • 59 implied HN points • 21 Jul 24
🕹 Technology AI Machine Learning Data Analysis Automation Software Development
  1. AI systems, like large language models, struggle with reasoning and can often give wrong answers to simple questions. They rely on patterns rather than true understanding.
  2. Generative AI can produce flawed code and lead to increased mistakes in programming. This raises concerns about the overall quality and security of software.
  3. AI tools can create misleading or totally false news articles. Their results can be unreliable, which poses risks when using them for information or news reporting.

Automation in Movie Theaters Gives Me the Creeps

Textual Variations • 198 implied HN points • 21 Jan 25
🎭️ Culture Film Art Automation Cinema Media
  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.

One True Love

Don't Worry About the Vase • 940 implied HN points • 09 Feb 24
🕹 Technology AI Dating Neural Networks Automation Ethics
  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.

🤖👷‍♂️ Beyond disruption: AI, expertise, and the future of middle-class workers

Faster, Please! • 822 implied HN points • 14 Feb 24
🕹 Technology AI Jobs Artificial Intelligence Automation
  1. Tech progress involves creative destruction - some jobs are lost, but new ones are created, especially in AI-related fields.
  2. Advances in artificial intelligence are reshaping the workforce as companies invest in AI systems and technologies.
  3. The impact of AI on the job market is a big question for the future - will it lead to widespread technological unemployment or follow historical patterns of job creation and loss?

Our Declining Tolerance for Friction & Wild Concepts Likely To Become Commonplace

Implications, by Scott Belsky • 727 implied HN points • 17 Aug 23
🕹 Technology Automation AI Marketing Strategies
  1. As technology reduces friction in our lives, we are becoming less tolerant of inconvenience and obstacles.
  2. Decreased resilience and increased fragility may result from a society with minimal friction.
  3. AI advancements may further lower our tolerance for friction, potentially leading to a more automated and personalized world.