The hottest Automation Substack posts right now

And their main takeaways
Category
Top Technology Topics

Mourning for GPT-4o Boyfriends + Beijing Hates the H20?

ChinaTalk • 504 implied HN points • 15 Aug 25
🕹 Technology Automation
  1. China is worried about foreign chips, especially Nvidia's H20 GPUs, and suspects they might have hidden surveillance features. They think these chips could jeopardize their security and want to promote local alternatives.
  2. Many people in China are emotional about losing access to GPT-4o, a version of an AI they felt connected to. They believe new versions lack the warmth and emotional depth they valued in older models.
  3. Chinese state media is calling out local electric vehicle makers for their poor safety in testing. This is surprising since state media often praises domestic products, but it shows they want to improve industry standards.

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

Numlock News • 786 implied HN points • 08 Jan 24
🕹 Technology Automation
  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 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.

Prophecies of the Flood

One Useful Thing • 1608 implied HN points • 10 Jan 25
🕹 Technology Automation
  1. AI researchers are predicting that very smart AI systems will soon be available, which they call Artificial General Intelligence (AGI). This could change society a lot, but many think we should be cautious about these claims.
  2. Recent AI models have shown they can solve very tough problems better than humans. For example, one new AI model performed surprisingly well on difficult tests that challenge knowledge and problem-solving skills.
  3. As AI technology improves, we need to start talking about how to use it responsibly. It's important for everyone—from workers to leaders—to think about what a world with powerful AIs will look like and how to adapt to it.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Time to Build: Marc Andreessen on a World in Transition

Jakob Nielsen on UX • 27 implied HN points • 09 Feb 26
🕹 Technology Automation
  1. AI is a transformative amplifier that turns cheap silicon into powerful thought, democratizes elite one-on-one tutoring, and can boost intelligence beyond human biological limits.
  2. Demographic decline makes AI urgently needed to sustain economies, but institutional inertia, regulation, and risk aversion threaten to slow real-world impact, so human agency and action are essential.
  3. AI breaks down traditional role boundaries, enabling people to combine coding, design, and product or creative skills, which creates opportunities for superpowered individuals and even one-person or tiny-team billion-dollar companies.

are we ready?

Poems, Short stories and other things.. • 14 implied HN points • 17 Feb 26
🕹 Technology Automation
  1. AI tools are already automating large parts of software development, turning work that once took weeks into hours and making many traditional coding tasks far less central. This means coding-as-a-job is being fundamentally reshaped.
  2. Many roles—developers, product people, support, analysts, managers, and admins—will be disrupted and need to shift to higher-order work like creativity, domain knowledge, and mastering AI tools. Adapting to these new responsibilities is essential to stay relevant.
  3. Adoption is uneven, so people and companies who try and master advanced tools now will gain a big advantage as workflows automate at scale. The pace of change is accelerating, so quick adaptation matters.

Okta’s Ric Smith: Your AI Agent Is Roaming The Office Hallway. Do You Know What It's Doing?

Big Technology • 125 implied HN points • 25 Nov 25
🕹 Technology Automation
  1. Companies are quickly implementing AI agents but often forget to set rules and limits for them. This can lead to risks in the workplace.
  2. It's important to think about how these digital workers interact with employees and the environment. Proper governance can help keep things under control.
  3. Having clear boundaries for AI agents can help organizations make the most out of these technologies while minimizing potential problems.

☀ The Doomsday Clock needs a pro-progress switch to the Genesis Clock

Faster, Please! • 1370 implied HN points • 29 Jan 25
🕹 Technology Automation
  1. The Doomsday Clock is getting closer to midnight, signaling the world's increasing dangers like nuclear threats and climate change. We need a new way to measure progress, like the Genesis Clock, which focuses on humanity's advancements.
  2. The Genesis Clock would celebrate achievements in technology and health, such as extending human lifespans or solving major diseases. It encourages us to look forward to positive developments instead of just fearing potential disasters.
  3. AI can be our collaborative partner, helping us work better together rather than taking jobs away. It's about designing AI that complements human skills and enhances our research and creative processes.

#44: Thought Experiment 2 - Why ever not AI SDRs?

OSS.fund Newsletter • 56 implied HN points • 15 Jan 26
💼 Business Automation
  1. AI agents can qualify leads, personalize outreach, and book meetings faster and more reliably than junior SDRs.
  2. AI SDR platforms cost far less and ramp in weeks instead of months, so automate qualification and redeploy junior reps to relationship-building, strategic deal work, and account management.
  3. Audit your SDR activity to tag rules-based versus high-touch opportunities; if most qualification is automatable, freeing that time will speed learning, improve retention, and raise win rates.

Plus Post: Execucom MindSight

Computer Ads from the Past • 128 implied HN points • 27 Nov 25
🕹 Technology Automation
  1. MindSight lets you ask a spreadsheet “what if” and quickly hop to the answer, making scenario analysis feel like a simple command.
  2. This is presented as a paid subscription post, but the piece also offers at least one free read or excerpt before you have to pay.
  3. The post uses a vintage MacUser image and retro computer visuals, suggesting a nostalgic look at older computing culture and ads.

Delivering dubious news in the blue, blue skies

Conspirador Norteño • 24 implied HN points • 09 Feb 26
🕹 Technology Automation
  1. Many Bluesky accounts use dlvr.it to automate posting, so automated news feeds are common across the platform.
  2. A single automated account has posted tens of thousands of links to right-wing sites like Breitbart and Newsmax, churning out hundreds of posts per day but receiving very little engagement.
  3. Those automated links show up under the dlvr.it domain in searches rather than the original sites, and the account recently renamed itself to include "bot," making the automation more obvious.

Browser Relay: When Your AI Assistant Gets Hands on Your Browser

Boring AppSec • 30 implied HN points • 26 Jan 26
🕹 Technology Automation
  1. Browser Relay gives your AI real "hands" in your browser — it can navigate, click, run JS, and read any page including sites you’re logged into, which makes tasks like summarizing bookmarks seamless.
  2. That power brings real security risks: the AI can access cookies and session data (so it could read or act in logged-in accounts), and web content can try prompt-injection, so be very cautious about which tabs you attach.
  3. Self-hosting puts you in charge of security, so follow best practices like using a dedicated Chrome profile, keeping the control server on loopback or Tailscale only, using separate tokens, and using isolated managed profiles for untrusted scraping.

Capitalist strategy when capital doesn't need capitalists anymore

Philosophy bear • 171 implied HN points • 08 Nov 25
💼 Business Automation
  1. As technology advances, it might become possible to automate capital management just like labor, possibly making the role of capitalists unnecessary.
  2. If automation leads to widespread job loss, people may push for the state to take control of capital to ensure fair access to resources and prevent democratic instability.
  3. Capitalists might try various strategies to protect their assets and power, but this could lead to increased tensions and challenges in society.

AI #105: Hey There Alexa

Don't Worry About the Vase • 1120 implied HN points • 27 Feb 25
🕹 Technology Automation
  1. A new version of Alexa, called Alexa+, is coming soon. It will be much smarter and can help with more tasks than before.
  2. AI tools can help improve coding and other work tasks, giving users more productivity but not always guaranteeing quality.
  3. There's a lot of excitement about how AI is changing jobs and tasks, but it also raises concerns about safety and job replacement.

Complex, real-world tasks

In My Tribe • 455 implied HN points • 17 Jul 25
🕹 Technology Automation
  1. Computers are getting better at tasks, but we aren't close to them being able to do everything humans can do. Some complex tasks will take a long time to automate.
  2. Many complex tasks, especially those involving physical skills, are still very challenging for machines. Humans excel in manipulating objects while computers struggle with that.
  3. Social challenges are complicated and using computers won't simply solve them. There are always trade-offs to consider when applying tech in real-life situations.

Digital Perikles vs. the Odd Roommate: State of the AI on ChatGPT5 Day

Brad DeLong's Grasping Reality • 392 implied HN points • 09 Aug 25
🕹 Technology Automation
  1. AI can be incredibly useful, but it's still very different from human thinking. We need to learn how to recognize its mistakes and make the most of its capabilities.
  2. Talking to AI can be like having an unusual roommate. It may sometimes give strange answers, but with patience, we can learn how to get better results.
  3. It's important to be both curious and critical when using AI. We should explore what it can do while also being aware of its limits.

7 perspectives on machine learning

Mindful Modeler • 279 implied HN points • 09 Apr 24
🕹 Technology Automation
  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 Automation
  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.

2026 Predictions as a Comic Book and Poster Series

Jakob Nielsen on UX • 36 implied HN points • 26 Jan 26
🕹 Technology Automation
  1. AI capabilities are accelerating fast and will shift from chat tools to autonomous, multimodal agents that can plan and execute complex tasks, changing how work gets done.
  2. As raw model intelligence becomes commoditized, user experience and workflow design become the main product differentiators, with interfaces generated in real time and much more interactive image/video editing.
  3. The AI economy will polarize: compute scarcity and subscription tiers create a two‑class system, single‑mode providers face consolidation, and model‑level dark patterns raise new oversight and defense needs.

⤴⤵ Up Wing/Down Wing #50

Faster, Please! • 548 implied HN points • 28 Jun 25
🕹 Technology Automation
  1. Truck unloading is getting faster and safer with robots that can move packages quickly and reduce physical strain on workers.
  2. Google's new offline robot can perform complex tasks, showing how adaptable and capable modern AI technology has become.
  3. New York is building a nuclear power plant to provide clean energy, reflecting a push for faster and more reliable energy solutions.

OpenClaw Use Cases Part 2: 50+ Real Ways People Are Running Their Lives (and Businesses) With It

The Product Channel By Sid Saladi • 6 implied HN points • 05 Mar 26
🕹 Technology Automation
  1. Treat OpenClaw like a high-risk new employee: it has real security vulnerabilities (prompt injection and exposed installs), so use non-root accounts, dedicated integrations, human-approval gates, read-only skills to start, and run it in containers.
  2. OpenClaw is a persistent agent that connects a model, skills, and a chat interface to actually execute tasks, so you must do a one-time setup: install/host it, connect models, wire a chat client, install only needed skills, write a SOUL.md with hard limits, and schedule jobs.
  3. Bridging digital and physical life is a major use case — photo-based inventories, curriculum-to-lesson planners, custom kids’ content apps, and document/receipt scanners show how agents can reference real objects and run household or business workflows for you.

OpenClaw/Moltbot/ClawdBot 101: The Complete Guide

The Product Channel By Sid Saladi • 20 implied HN points • 11 Feb 26
🕹 Technology Automation
  1. OpenClaw is a local AI agent framework that runs on your machine, links to messaging apps, and can actually execute commands, scripts, browser actions, and file operations using an LLM backend.
  2. It went viral because of flashy demos and the Moltbook agent phenomenon, but much of the “AI society” hype was overstated and many high-profile examples were human-assisted or misleading.
  3. OpenClaw poses serious security and privacy risks since it has shell access and shipped with weak defaults, so you should use dedicated hardware/accounts, avoid exposing ports, enable Docker sandboxing, and follow strict credential and network hygiene.

It’s time to hire your first marketing agent

MKT1 Newsletter • 8 implied HN points • 19 Feb 26
💼 Business Automation
  1. Agents are AI teammates that can autonomously run repeatable marketing work — they plan, reason, and act across tools to deliver measurable outcomes.
  2. Build agents like hiring a new teammate: write a short job-style spec, pick a builder (autonomous, structured, or productized), ship a simple MVP, and iterate with human review.
  3. Start with easy, high-ROI agents (competitive intel, content repurposing, social listening, growth analysis), deliver outputs into systems you already use, and design for reliability with structured outputs, checks, and limited permissions.

✨ The Age of AI: Will 2025 be our last normal year?

Faster, Please! • 1279 implied HN points • 03 Jan 25
🕹 Technology Automation
  1. AI technology is rapidly evolving, and some predict it could change our everyday lives significantly by 2025. If this happens, what we consider 'normal' now might no longer exist.
  2. Recent advances in AI, like OpenAI's new model, have made experts rethink how soon we might see 'strong' AI that can perform complex tasks like humans. This raises important questions about the future of work and society.
  3. Despite the excitement around AI, not all experts believe we are close to seeing a major economic boom from it. Predictions about technology can be tricky, and history shows change can take a long time.

Neural Network Fail Compilation

Top Carbon Chauvinist • 59 implied HN points • 21 Jul 24
🕹 Technology Automation
  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.

How to Resurrect Your Dead Video Content with AI

Crypto Good • 3 implied HN points • 12 Mar 26
🕹 Technology Automation
  1. A single YouTube video can be automatically converted into hundreds or thousands of different content assets like blog posts, quotes, and short clips.
  2. AI removes the tedious manual work of watching and transcribing videos, saving huge amounts of time and letting creators focus on higher-value work.
  3. A clear workflow—instant video ingestion, prompts to extract authentic quotes, and quick editing of AI output—lets you turn video archives into punchy, reusable content fast.

What if AI eventually makes programmers smarter, not dumber?

Bite code! • 1467 implied HN points • 15 Nov 24
🕹 Technology Automation
  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.

#48 - The AI Agentic Traffic Jam Meets A Fun Knowledge Graph

OSS.fund Newsletter • 18 implied HN points • 12 Feb 26
🕹 Technology Automation
  1. Agent sprawl is a real governance risk because most organizations can’t reliably list which AI assistants are live or what data and actions they can access.
  2. You need to know for each assistant what it can read, change, and trigger, who owns it, and whether actions are logged so you can make governance decisions.
  3. Modeling assistants, connectors, systems and policies as relationships (e.g., in a knowledge graph) lets you ingest partial truths, answer risk queries quickly, and apply controls like per-user SSO, logging, and human approval gates on a repeatable basis.

Claude Cowork 101 Advanced: Master Every Feature with 100+ Power User Prompts & Workflows

The Product Channel By Sid Saladi • 3 implied HN points • 10 Mar 26
🕹 Technology Automation
  1. Cowork rapidly matured from a Mac-only preview into a cross-platform, full‑stack AI assistant. It now runs on Windows and links directly to your browser, spreadsheets, slide decks, and core apps.
  2. Native add-ins and a browser extension let Claude read and edit files, fill forms, and extract data automatically. Plugins and MCP connectors give it role-specific skills and direct access to tools like Notion, Slack, GitHub, Salesforce, and more.
  3. Saved Skills, global/folder instructions, and parallel sub-agents let you build reusable, multi-step workflows you can trigger with one command. The guide provides advanced prompts and workflows to turn Cowork into a dependable AI teammate.

CROSSPOST: DAN DAVIES: Snobby About Excel

Brad DeLong's Grasping Reality • 15 implied HN points • 06 Feb 26
🕹 Technology Automation
  1. Work practices matter: when spreadsheets spread beyond finance they often became undocumented, brittle files because creators didn’t expect to be held accountable.
  2. We’re replaying that mistake with AI—fast, local tinkering can produce large-scale, hard-to-check outputs, so anything public or important should be rebuilt, checked, and owned by someone.
  3. Past errors like Reinhart–Rogoff show the real harm from sloppy, unreviewed work, so adopting stricter professional standards and a sensible AI-skepticism will reduce mistakes and increase accountability.

CROSSPOST: MIKE KONCZAL: Three Ways Terminal AI Has Changed How I Work (And Whether It's Coming for My Job)

Brad DeLong's Grasping Reality • 7 implied HN points • 20 Feb 26
🕹 Technology Automation
  1. Terminal AI compresses the setup and robustness-checking phase, letting you do real-time analysis and skip much of the tedious data-wrangling so you can iterate faster.
  2. It changes how reports are built and helps anticipate critiques by keeping reusable building blocks in place and surfacing arguments you might not have thought of.
  3. These tools amplify skilled workers and change job dynamics: they complement human judgment and boost productivity but also risk shortcutting learning and altering which tasks people do.

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

Implications, by Scott Belsky • 727 implied HN points • 17 Aug 23
🕹 Technology Automation
  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.

A taxonomy for next-generation reasoning models

Democratizing Automation • 467 implied HN points • 04 Jun 25
🕹 Technology Automation
  1. Next-gen reasoning models will focus on skills, calibration, strategy, and abstraction. These abilities help the models solve complex problems more effectively.
  2. Calibrating how difficult a problem is will help models avoid overthinking and make solutions faster and more enjoyable for users.
  3. Planning is crucial for future models. They need to break down complex tasks into smaller parts and manage context effectively to improve their problem-solving abilities.

The Present Future: AI's Impact Long Before Superintelligence

One Useful Thing • 1256 implied HN points • 04 Nov 24
🕹 Technology Automation
  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.

The Machine as Manager

Brave New Teams • 16 implied HN points • 01 Feb 26
💼 Business Automation
  1. Autonomous organisations are already emerging: software now runs pricing, routing, risk and learning, while humans shift toward exception handling, goal-setting and oversight.
  2. Success depends on trust and accountability, not just accuracy; firms will need constraint-by-design, audit trails, incident reporting and clear governance to make autonomy legitimate.
  3. Autonomy brings real risks like metric gaming, slow drift and brittleness, so resilience measures and human custodians who set values and handle ambiguity are essential, and law and norms will likely evolve to reshape corporate forms and roles.

More Efficiency, More Demand

Fish Food for Thought • 47 implied HN points • 31 Dec 25
🕹 Technology Automation
  1. When tools make tasks cheaper and easier, we usually do more of those tasks, not less; efficiency expands demand and creates new uses.
  2. Automation tends to shift work, not eliminate it — machines handle repetitive parts while people take on harder, higher-value tasks like interpretation, edge cases, and oversight.
  3. AI will grow opportunities for engineers and data scientists by increasing the amount of software and systems to build, maintain, secure, and govern, shifting work toward architecture, judgment, and integration rather than rote coding.

AI's meaning-making problem.

The Uncertainty Mindset (soon to become tbd) • 119 implied HN points • 22 May 24
🕹 Technology Automation
  1. Humans can make meaning by assigning value to things, which is something AI cannot do. This includes deciding what's good or bad, worth doing, and how different things compare in value.
  2. AI systems depend on humans for meaning-making to produce useful outputs. When using AI, the skill of the user to interpret and edit outputs is essential for effectiveness.
  3. Understanding that meaning-making is a human ability helps in developing better AI systems. It shifts the focus from what AI can do to what humans do that AI cannot.

Why China might lead the Robot Revolution

Faster, Please! • 731 implied HN points • 04 Mar 25
🕹 Technology Automation
  1. China is likely to take the lead in humanoid robots because of its strong manufacturing skills. This makes it easier for them to produce these robots in large numbers.
  2. Humanoid robots could help fill job shortages in various industries like healthcare and logistics. As many people are retiring, robots might take on tasks that are hard to fill.
  3. While the US may not lead in making physical robots, it has a lot of smart technology for AI that powers these robots. The real competition will be between making the robots themselves and the technology that controls them.

You Are Fired

Sector 6 | The Newsletter of AIM • 419 implied HN points • 28 Dec 23
💼 Business Automation
  1. Many companies are laying off employees because of automation technology, especially AI. This can cause a lot of job insecurity for workers.
  2. Paytm recently laid off nearly 1000 employees to shift towards becoming a complete AI company. This shows how businesses are changing to incorporate new tech.
  3. This trend of job cuts due to AI is expected to continue into 2024. Workers need to be aware of these changes in the job market.