The hottest Automation Substack posts right now

And their main takeaways
Category
Top Technology Topics

The End of Software, Long Live Software

Chaos Engineering • 5 implied HN points • 04 Dec 24
🕹 Technology Automation
  1. AI Agents are changing how we think about software. They are smart programs that can do tasks for us, but we still need humans to help out to make sure everything runs smoothly.
  2. Using AI to create software can make things cheaper, but it also makes the software more complex. As we rely on AI, we need to ensure we can trust it to work reliably.
  3. Data is super important for AI to work well. We need to collect good quality data to train these AI Agents so they can do their jobs effectively and produce accurate results.

Clouded Judgement 2.7.25 - "Group + Triage" AI Systems

Clouded Judgement • 4 implied HN points • 07 Feb 25
🕹 Technology Automation
  1. AI can really help with organizing and prioritizing tasks in many areas like customer support and fraud detection. This means faster and more efficient decision-making for businesses.
  2. Cloud software companies like Amazon, Microsoft, and Google are seeing some slower growth lately. It's important to keep an eye on how they perform in future reports.
  3. The value of a software company is often based on its revenue, especially when it's not profitable yet. Understanding these valuation methods can help investors make smarter choices.

Projects of fake coherence

Internal exile • 21 implied HN points • 19 May 23
🕹 Technology Automation
  1. Generative AI is used to deskill workers and remove their leverage over their bosses.
  2. Automation is driven by the demands of capitalism to deskill and discipline workers.
  3. Capital functions as an 'artificial intelligence' that emerges from economic power concentration.

Issue #76

Infra Weekly Newsletter • 13 implied HN points • 27 Dec 23
🕹 Technology Automation
  1. This post is the last issue sponsored by Nexteam.
  2. The post discusses topics like virtualization, Linux on Macs, and Rust on AWS Lambda.
  3. Juniper Apstra and Juniper QFX Series Switches are highlighted for automating and simplifying data center network operations.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Exploring AI Vulnerabilities, Biometrics, and LLM-Driven Agents

ppdispatch • 5 implied HN points • 29 Nov 24
🕹 Technology Automation
  1. Red teaming is important for finding vulnerabilities in AI models. It helps identify risks and improve defenses against potential attacks.
  2. Footstep biometrics can uniquely identify people based on their walking patterns. This method is promising, but its accuracy still needs to be improved.
  3. Large Language Models (LLMs) can unintentionally cause market collusion. This raises concerns for regulators about how AI affects pricing in the market.

Large Language Model Blues

Pavle Miha • 3 HN points • 11 Apr 23
🕹 Technology Automation
  1. The Copernican Revolution happens once and then it's over, we'll realize we're not the smartest, but we're special in other ways.
  2. Computers changed chess and work by automating tasks; we'll find new ways to make things fun again.
  3. We're all in this together, so be kind, reach out to others, and support each other.

How GPT killed then saved my startup

How Software "Sells Itself" • 10 implied HN points • 10 Mar 24
🕹 Technology Automation
  1. Before ChatGPT, the startup's product seemed impossible, automating meeting recordings into highlight videos.
  2. The introduction of more advanced AI like GPT4 raised the bar for intelligence, leading to a major overhaul of the startup's technology.
  3. Despite the initial setback, utilizing GPT-based pipeline enabled the creation of more flexible highlight videos in a simpler, streamlined process.

Gradient Flow #39: Becoming TikTok, Next-gen Workflow Orchestration and Forecasting

Gradient Flow • 19 implied HN points • 15 Jul 21
🕹 Technology Automation
  1. The newsletter discusses next-gen dataflow orchestration and automation systems like Prefect, a startup that helps manage dataflows.
  2. It introduces cool new open source tools like Greykite, a flexible and fast library for time-series forecasting.
  3. BytePlus, a new division of ByteDance, is offering the technology behind TikTok to websites and apps, presenting interesting challenges in the global market.

🌻 E42: Calling the Right Agent

Musings on AI • 5 implied HN points • 19 Oct 24
🕹 Technology Automation
  1. Choosing the right agent is important and requires understanding the intent behind what the user asks. By clarifying these intents, we can better match them with the right tools.
  2. Frameworks like Re-Invoke and Agent Q help improve the way agents retrieve tools and make decisions. They use techniques to better understand user queries and enhance the agents' decision-making abilities.
  3. Advanced methods, such as Q-value models, enhance agent performance by guiding their actions based on expected rewards. This approach allows agents to learn from past experiences and make smarter choices in complex tasks.

War in an Era of Intelligent Machines: Stirrups, Conoidal Bullets, 3D Printers, Lunar Nukes and Special Ops Forces

Dr. Pippa's Pen & Podcast • 19 implied HN points • 19 Mar 23
🕹 Technology Automation
  1. Technological advancements in the digital era are changing warfare dynamics rapidly.
  2. Historical innovations like metal stirrups and conoidal bullets have had significant impacts on military strategy.
  3. The shift towards automation and AI in warfare highlights a philosophical split between the East and the West.

Breakdown: Monday.com's AI Credit Model

Good Better Best • 3 implied HN points • 14 Feb 25
💼 Business Automation
  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.

AI Agents: You Can't Have an Orchestra Without A Conductor

Theology • 3 implied HN points • 26 Jan 25
🕹 Technology Automation
  1. To effectively use AI agents in a business, you need a 'Conductor' to coordinate them. Just like an orchestra needs a conductor to keep everything in sync, businesses need someone to ensure AI agents work well together.
  2. Having multiple AI agents can get messy without proper management. You need defined rules and processes so these agents know their roles and responsibilities to avoid chaos.
  3. Using AI can be complicated and can incur costs you might not expect. It's important to be able to track and manage these costs separately to understand if you're really saving money compared to hiring people.

CUAs Can Become APIs

The API Changelog • 3 implied HN points • 31 Jan 25
🕹 Technology Automation
  1. CUAs, or Computer-Using Agents, can perform tasks on computers like humans do. They are designed to help with tasks even when normal APIs are unavailable.
  2. As CUAs can act on your behalf after initial help, they can eventually work automatically. Their ability to do this raises questions about how much control we want to give them.
  3. Making CUAs available as APIs is technically simple. This opens up many questions about what tasks should be accessible and who gets to use them.

Data Science Weekly - Issue 399

Data Science Weekly Newsletter • 19 implied HN points • 15 Jul 21
🕹 Technology Automation
  1. Data for good initiatives aim to use data positively but often face disconnects. It's important to understand what these initiatives do and how they differ from one another.
  2. Peer reviews in data science can improve project outcomes, but they may not go as planned in real situations. Learning from what works and what doesn’t is key to improving the process.
  3. Amazon collects a lot of user data through various services, which many people might not be aware of. Understanding privacy policies is important to know how your data is used.

Data Science Weekly - Issue 394

Data Science Weekly Newsletter • 19 implied HN points • 10 Jun 21
🕹 Technology Automation
  1. The data economy often harms our privacy as companies gather personal information for profit. It's important to think about how our data is used.
  2. New AI technologies, like deep reinforcement learning, can improve tasks like chip design significantly faster than traditional methods. This shows how AI can change engineering jobs.
  3. Data monitoring is crucial for machine learning applications. It helps ensure that models perform well and meet the needs of companies.

How to use NotebookLM

Year 2049 • 4 implied HN points • 05 Nov 24
🕹 Technology Automation
  1. NotebookLM is a cool AI tool that can turn your documents, videos, and websites into a fun audio podcast. You just upload your information, and it creates an engaging audio format for you.
  2. You can customize how NotebookLM presents information by using specific prompts. This means you can ask it to focus on details or explain a topic in a simpler way, like for a child.
  3. It's important to review the content produced by NotebookLM because it might make mistakes or add unexpected information. Being aware of your original content helps catch any errors.

Data Science Weekly - Issue 391

Data Science Weekly Newsletter • 19 implied HN points • 20 May 21
🕹 Technology Automation
  1. Major League Baseball is testing an automated ball and strike calling system to help umpires make faster and more accurate calls during games.
  2. Twitter has updated its image cropping algorithm to be fairer and more equitable in how it represents different images to users.
  3. Reinforcement learning is gaining interest among big companies, but it's still a developing area compared to other machine learning techniques.

How to Create Email Sequences on Substack

Implementing • 1 HN point • 12 Feb 24
🕹 Technology Automation
  1. Automating email sequences on Substack requires a reverse engineering approach to understand platform communication and mimic manual steps with a bot.
  2. The email sequence system on Substack can be customized with various workflows and features like filtering subscribers, creating draft emails, and scheduling workflow executions.
  3. Successful case studies like Refactoring newsletter show how implementing automated email sequences can streamline tasks and engage subscribers effectively.

Your Two-Hour Walk Became a Twenty-Minute Drive. Then What?

WriMoReMo • 3 implied HN points • 03 Jan 25
🕹 Technology Automation
  1. We try to make life easier with technology, but it often speeds everything up instead of enhancing our experiences. This can lead to feeling overwhelmed and exhausted.
  2. People have become so busy trying to fill every moment that they forget how to be still and just exist. It's important to slow down and take time to truly process life.
  3. In our rush to connect everyone and share opinions, we risk losing our ability to think deeply and reflect. Preserving our humanity is a big challenge in this fast-paced world.

Data Science Weekly - Issue 385

Data Science Weekly Newsletter • 19 implied HN points • 08 Apr 21
🕹 Technology Automation
  1. Building a machine learning rig can be a fun project. It involves planning and buying the right hardware, especially GPUs.
  2. Data observability is crucial for businesses using large data sets. It helps ensure data quality and reduces issues in complex data pipelines.
  3. Using deep learning and automation can simplify tasks like monitoring bird nests. This can save time and keep track of nature without constant watching.

Autonomous Adaptive Security for the Cloud: The Power of Automated Moving Target Defense

Phoenix Substack • 14 implied HN points • 17 Apr 23
🕹 Technology Automation
  1. Automated Moving Target Defense (AMTD) is a dynamic security strategy that can protect cloud infrastructure.
  2. AMTD increases system entropy through frequent modifications, creating a more dynamic and unpredictable security environment.
  3. AMTD can adapt quickly to emerging threats by automatically triggering modifications to the attack surface.

Devin AI launches: Cognition Labs and Hcompany

Machine Economy Press • 3 implied HN points • 11 Dec 24
🕹 Technology Automation
  1. Devin AI is a new tool aimed at helping developers automate tasks, starting at $500 a month. It focuses on improving productivity by handling things like bug fixes and repetitive tasks.
  2. Cognition Labs, the company behind Devin AI, has quickly gained a high valuation but faces skepticism about its long-term success due to its young team's inexperience.
  3. With many startups entering the software automation space, Devin's effectiveness will need to improve as it competes with established tools like GitHub Copilot and others.

Natural Product Synthesis in the 21st Century: Beyond the Mountain Top

Axial • 7 implied HN points • 17 Feb 24
🔬 Science Automation
  1. Natural products and drugs have similarities but drugs are a balance between complexity and accessibility for optimization.
  2. Molecular complexity in drugs is increasing to improve IP coverage, binding affinity, and effectiveness for chronic diseases.
  3. Embracing enabling methods, computational modeling, and deep exploration of complex chemical space can revolutionize natural product synthesis for therapeutic goals.

Data Science Weekly - Issue 342

Data Science Weekly Newsletter • 19 implied HN points • 11 Jun 20
🕹 Technology Automation
  1. Recent studies show that there hasn't been a significant change in the types of jobs that get automated, despite the rise of new technology. It seems that many jobs remain unaffected by automation trends.
  2. Tools like OpenAI's API allow easy integration of advanced language tasks without needing extensive data. This makes it simpler for developers to use powerful language models.
  3. Feature engineering and managing technical debt are crucial in machine learning development. Good practices can help to avoid messy code and ensure smoother transitions from development to production.

Data Science Weekly - Issue 340

Data Science Weekly Newsletter • 19 implied HN points • 28 May 20
🕹 Technology Automation
  1. AI can be limited in business because of how it's researched, but understanding these limits can help identify new business opportunities. This means knowing the business process well can lead to better use of AI to save time and money.
  2. There's a growing belief that humans and machines should work together rather than striving for complete automation. Collaborating with machines can often be more effective and safer than going fully automated.
  3. Basic machine learning skills are still very important, even with all the focus on deep learning. Many companies want solid foundational knowledge rather than just the latest trends, so understanding the basics can be key to success.

Browserbase

Why Now • 2 implied HN points • 02 Dec 24
🕹 Technology Automation
  1. Web scraping is a way to extract data from websites, but it can be tricky because modern sites often use JavaScript to load content dynamically. This means simple methods may not work.
  2. Browser automation tools like Selenium helped control web browsers programmatically, but they can be complicated and fragile. New solutions like Browserbase are emerging to simplify the process.
  3. Browserbase allows developers to easily create applications that interact with websites using natural language commands. This makes it easier to extract data and automate web tasks without hassle.

Iterative Prediction Markets

Abstraction • 7 HN points • 08 Aug 23
🕹 Technology Automation
  1. Short-term prediction markets offer faster resolutions and better interest rates than long-term markets.
  2. An iterative approach with annual markets can tackle the time value of money issue in long-term predictions.
  3. Automated creation of frequent short-term markets can provide real-time insights and address the time value of money problem effectively.

Why You Should Join: Inside Edition

Why You Should Join • 5 implied HN points • 01 Jan 24
💼 Business Automation
  1. The newsletter highlights early-stage startups worth considering for new roles.
  2. Investors shared perspectives on promising startups like Chkk, Footprint, Ollama, Cursor, and Orby AI.
  3. These startups offer innovative solutions in areas like Kubernetes infrastructure, fraud prevention, local model usage, AI-powered code editing, and workflow automation.

Data Science Weekly - Issue 303

Data Science Weekly Newsletter • 19 implied HN points • 12 Sep 19
🕹 Technology Automation
  1. Machine learning is being used in fashion to create personalized outfits for users, showing how AI can enhance personal style.
  2. AI technology is transforming biology, especially in imaging, which could lead to significant advancements in understanding and treating diseases.
  3. Protection against job displacement from automation is important, with ideas like a robot tax being proposed to safeguard workers' roles.

Automation with a Human Touch

Maximum Tinkering • 1 HN point • 14 Apr 23
🕹 Technology Automation
  1. Toyota's Production System introduces the concept of autonomation, where machines stop for human intervention when issues arise, reducing waste.
  2. Generative AI could benefit from autonomation by being used to automate tasks with human oversight to refine outputs and catch errors.
  3. The idea of multi-skilled workers might shift the labor market from specialized roles to more general ones, increasing efficiency and productivity.

Modeling p(doom) with TrojanGDP

Data Taboo • 5 implied HN points • 22 Sep 23
🕹 Technology Automation
  1. There is a lack of mathematical models to assess AI existential risks like p(doom).
  2. The academic community has historically ignored existential risks from AI superintelligence.
  3. The proposed TrojanGDP model aims to estimate the lower bound of AI risk based on factors like GDP contribution and neural Trojan rediscovery.