The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Asking versus telling

Sunday Letters • 179 implied HN points • 14 Aug 22
🕹 Technology Software Development Team Dynamics Communication Problem Solving
  1. It's important to ask questions instead of just telling people they're wrong. This helps avoid defensiveness and opens up communication.
  2. When you ask questions, be genuine and curious about the other person's perspective. It’s not just about getting your point across.
  3. Understanding someone’s reasoning and context can help change their mind. Telling them they're wrong often just makes them defensive.

🤘ACDC (not that one)

Gonzo ML • 63 implied HN points • 29 Jan 25
🕹 Technology Artificial Intelligence Machine Learning Neural Networks Data Analysis Automation
  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.

AI Observability, Orchestration, Consolidation

Gradient Flow • 179 implied HN points • 26 May 22
🕹 Technology AI Machine Learning Data Engineering Data Management Computer Vision
  1. Companies are likely to use at most two platforms for managing the entire machine learning pipeline: one for exploration and another for deployment and operations.
  2. Prefect 2.0 is a popular framework for data and workflow orchestration, emphasizing 'code as workflows' to address data engineering challenges.
  3. The survey on workflow orchestration tools revealed a growing interest in these systems, with startups raising over $450 million in funding for orchestration solutions.

5 cool AI things this week

Sex and the State • 4 implied HN points • 17 Dec 25
🕹 Technology Artificial Intelligence Energy Use AI Policy AI safety Data Centers Industry Trends
  1. AI and data centers raise real energy and water concerns: electricity demand is the bigger issue, water worries are emotionally charged, and cooling or water-use choices can change the impact.
  2. A patchwork of state regulations is making it harder for smaller AI companies to compete and could stifle useful innovation, while policymakers often focus on narrow problems like deepfakes instead of bigger issues like energy and grid planning.
  3. Nobody really knows how AI will transform the world, so there’s a lot of uncertainty, and near-term risks from malicious humans using AI deserve more attention than hypothetical superintelligent scenarios.

LLM Links, 2/15

In My Tribe • 182 implied HN points • 15 Feb 24
🕹 Technology AI Robots Software Language Models
  1. Bill Gates supports building general-purpose humanoid robots capable of multiple tasks, modeling them after people.
  2. Mark McNeilly predicts that AI will seduce humans rather than destroy us, leading to a decline in human interaction.
  3. There is potential to use large language models for tasks like contract reviews in legal and financial sectors, but resistance to fully relying on AI in certain professions may persist.
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What's a half-trillion between friends?

Alex's Personal Blog • 65 implied HN points • 22 Jan 25
🕹 Technology AI Infrastructure Investment Technology Policy
  1. There is a big investment in AI happening, totaling $500 billion, which will help the U.S. stay ahead in technology. This money will be used to build infrastructure and create jobs.
  2. SoftBank's financial status is unclear, but it is involved in this major investment deal. The real challenge is making sure they can actually fund their part of the investment.
  3. While OpenAI is leading the project, there are other AI companies like Anthropic and Mistral that are doing well and can compete for market share. The AI market seems to have room for multiple big players.

The Long Game 171: Fatigue, Unfair Advantage, Vertical vs. General AI, Sales Learnings

The Long Game by Mehdi Yacoubi • 2 implied HN points • 16 Jan 26
🕹 Technology Artificial Intelligence Startups Sales Productivity Business strategy Research
  1. Being physically tired from real work or regular exercise quiets overthinking and forces action, so most people would actually feel and perform better with more controlled physical fatigue.
  2. Identify the unfair advantages you already have — such as time, connections, money, or skills — and use them relentlessly instead of pretending everyone starts on an even playing field.
  3. General coding or program‑synthesis AI is becoming a powerful horizontal tool that can automate many tasks, but domain‑specific work still matters for enterprise data access, compliance, integration, and closing the last 5–10% of value.

The Secure Software Self-Attestation Saga Continues

Resilient Cyber • 79 implied HN points • 12 Jun 23
🕹 Technology Cybersecurity Software Development Government Policy Supply Chain Open Source
  1. The U.S. government is focusing on improving software security and has set deadlines for software suppliers to prove they follow secure practices. Agencies now have more time to collect necessary confirmations from their software producers.
  2. Software suppliers are responsible for the security of all parts of their software, including third-party components. They need to understand where these components come from and how safe they are.
  3. Free software provided by vendors is not required to meet security standards set by the government. This creates challenges since free software can still have vulnerabilities that might put agencies at risk.

The Sequence Engineering #551: Magentic-UI Push The Boundaries of Agentic User Experience

TheSequence • 35 implied HN points • 28 May 25
🕹 Technology AI UX Software Automation Web Development
  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.

My Markdown personal management system

normality’s Substack • 3 HN points • 25 Jul 24
🕹 Technology Software Productivity Management Documentation
  1. This personal management system uses plain text in Markdown format, making it easy to use and modify. You can adjust it to suit your own workflow without getting overwhelmed.
  2. It provides flexibility while still offering helpful structure, so you can prioritize your tasks effectively. You can customize it to include sections for today, this week, and even future tasks.
  3. Though it's a personal tool, it can help you keep track of your projects and milestones. You can also use it to document completed tasks, which can be handy for remembering what you’ve accomplished.

Navigating the AI Jungle - Chat Bots

Erik Explores • 61 implied HN points • 02 Feb 25
🕹 Technology AI Tools User Experience Applications Machine Learning
  1. There are many AI tools available, and it can be confusing to choose the right one. It's helpful to rely on personal experiences to see which tools work well.
  2. OpenAI's ChatGPT is popular for its good interface and features, like voice chat, which makes learning interactive and fun.
  3. DeepSeek allows for using AI models directly on your computer, giving flexibility, but it's important to choose the right model for your specific task.

Transformer^2: Self-adaptive LLMs

Gonzo ML • 63 implied HN points • 27 Jan 25
🕹 Technology Artificial Intelligence Machine Learning Data science Computing Software Development
  1. Transformer^2 uses a new method for adapting language models that makes it simpler and more efficient than fine-tuning. Instead of retraining the whole model, it adjusts specific parts, which saves time and resources.
  2. The approach breaks down weight matrices through a process called Singular Value Decomposition (SVD), allowing the model to identify and enhance its existing strengths for various tasks.
  3. At test time, Transformer^2 can adapt to new tasks in two passes, first assessing the situation and then applying the best adjustments. This method shows improvements over existing techniques like LoRA in both performance and parameter efficiency.

Sunday Letter - let's leave the typewriter behind

Sunday Letters • 59 implied HN points • 23 Jul 23
🕹 Technology AI Applications Documents Collaboration User Experience
  1. Documents have changed a lot, but they still feel stuck in the past, like from the typewriter days. We need to rethink how we create and interact with documents to make them more useful and dynamic.
  2. AI can help us create smarter, more interactive documents that understand our needs. Instead of just being static text, documents could be live conversations that adapt to what we want.
  3. It's time to move beyond old ideas of fixed applications. We should expect software to understand us better and respond to our needs in a more flexible way, just like we would have a conversation.

✨ How an AI technopanic begins

Faster, Please! • 91 implied HN points • 25 Oct 24
🕹 Technology AI Ethics Chatbots Mental health Legal issues Social Impact
  1. People worry that AI will take all the jobs and cause harm, similar to past fears about trade. These worries might lead to backlash against technology.
  2. A tragic case involving a teen's death highlights the potential dangers of AI chatbots, especially for vulnerable users. It's important for companies to take responsibility and ensure safety.
  3. Concerns about AI often come from emotional reactions rather than solid facts. It's crucial to address these fears with thoughtful discussion and better regulations.

How Taiwan became Arrakis

Deep Into The Mundane • 17 HN points • 20 Mar 24
🕹 Technology Semiconductors Manufacturing Innovation Research Economics
  1. Taiwan's TSMC is crucial to the global economy, producing chips for major tech companies like Apple, Nvidia, and Tesla.
  2. ASML, a Dutch company, has a monopoly on EUV lithography machines, a key technology for chip manufacturing, with machines costing hundreds of millions of dollars.
  3. TSMC's innovative 'pure-play foundry' model, led by visionary Morris Chang, revolutionized chip manufacturing, emphasizing collaboration with designers and avoiding competition with customers.

Introducing Orchestra: rapidly Build and Monitor Data and AI Products

The Orchestra Data Leadership Newsletter • 19 implied HN points • 07 Mar 24
🕹 Technology Data Management Artificial Intelligence Software Engineering Data Visualization Cloud Computing
  1. Launching a free tier for Orchestra, a tool to build and monitor data and AI products, offering a lightweight approach to improving business value and AI integration.
  2. Addressing the challenges faced by data teams in balancing business value and software engineering best practices through tools like Nessie, dbt, and emerging 'as-code' BI platforms.
  3. Providing an end-to-end platform with features like declarative pipelines, data quality monitoring, granular alert control, and asset-based data lineage to empower data teams in accelerating their initiatives.

🗓 Your invitation to this week's CTO fellow discussion & CQRS stream

🔮 Crafting Tech Teams • 39 implied HN points • 22 Nov 23
🕹 Technology Engineering Culture
  1. The CTO Fellow discussion & CQRS stream is happening this week. Streams are scheduled on Wednesdays and Thursdays at 4pm CET.
  2. Crafting Tech Teams is a reader-supported publication. Consider becoming a free or paid subscriber to receive new posts and support the work.
  3. To access the full post archives, you can start a 7-day free trial by subscribing to Crafting Tech Teams.

Under the microscope: Omakase! Savers (Saturn)

Rings of Saturn • 29 implied HN points • 21 Jun 25
🕹 Technology Gaming Software Development Hardware Entertainment Nostalgia
  1. Omakase! Savers is a fun adventure game for the Sega Saturn released in 1996. It involves three girls who gain special powers to battle ghosts.
  2. The game allows players to use special names to unlock benefits like boosting character stats or accessing different episodes.
  3. There is also a hidden debug mode in the game that lets players change settings and access cutscenes, which can be useful for anyone interested in translating or modifying the game.

The Cost of Costing Nothing

Pedram's Data Based • 20 implied HN points • 03 Aug 25
🕹 Technology AI Data Ethics Workplace Innovation
  1. People are sharing AI-generated content too easily, and it puts the burden on others to process or analyze it. This means we often have to work harder to make sense of information that was just tossed our way.
  2. The rise of AI can lead to a situation where the hard work of thinking and analysis is passed off to others. It creates a culture where people want recognition for quick results without truly putting in the effort.
  3. While AI can be helpful as a tool for brainstorming or research, relying on it completely can diminish the quality of work. It's important to still put in personal effort and have good taste in what information we share with others.

UX Roundup: UXR Theater | App Overload | Less Is More | Illustrations vs. Photos | Problem vs. Solution | Centralized AI | Recognition vs Recall | Google Growth | Sovereign AI | Agentic Browsers

Jakob Nielsen on UX • 23 implied HN points • 28 Jul 25
🕹 Technology UX Design Artificial Intelligence Usability testing Web Development Product Design
  1. User experience can be improved by simplifying designs and removing unnecessary features. This means users can focus better on their tasks without distractions.
  2. Recognizing a user's problem is more important than sticking to a specific solution. The goal should always be to address what the user truly needs.
  3. The trend of having too many apps can make it harder for users to navigate. It's important to create a cohesive experience instead of making users juggle multiple tools.

Using AI to build a robust testing framework

Inside Data by Mikkel Dengsøe • 24 implied HN points • 11 Jul 25
🕹 Technology AI Data Engineering Software Development Machine Learning Data Analytics
  1. It's important to establish a solid testing strategy for data models. Focus on verifying what can be objectively checked, keeping tests clear and manageable.
  2. Testing should prioritize sources and the transformations that impact data the most. Don't repeat tests for unchanged fields; it's better to test only what really matters.
  3. For final metrics, shift the focus from basic checks to business-specific assumptions. Use adaptive monitors for outliers instead of hard-coded limits to ensure flexibility.

Mirror mirror on the wall, which is the best walking robot of all?

Robots & Startups • 59 implied HN points • 13 May 23
🕹 Technology Robotics Events Policy Startups
  1. The best walking robot is Digit from Agility Robotics, as mentioned in the post.
  2. Some key highlights from recent robotics events included tips on putting robotics on the policy agenda and insightful talks.
  3. Agility Robotics' CTO and Co-founder, Jonathan Hurst, was featured at an event after a keynote by Marc Raibert from Boston Dynamics.

Don't panic

Sunday Letters • 139 implied HN points • 14 Nov 22
🕹 Technology AI Software Startups Innovation Job Market
  1. Tech industries go through cycles of success and downturns, and it's normal for this to happen over time. Don't get too worried; things will recover again.
  2. Even though there are doubts about new technologies like AI, they can lead to significant advancements and solve real problems for people. Focus on what can be created, not just the challenges.
  3. Downturns can help companies become better and more disciplined. When money is tight, it encourages innovation and addressing genuine needs rather than just quick gains.

A fresh newsletter series: Developer GTM

Developer GTM – by Calyx Consulting • 19 implied HN points • 06 Mar 24
🕹 Technology Newsletter Marketing Interviews Content
  1. Developer GTM newsletter series will provide insights and guidance from experienced operators in the developer space.
  2. The newsletter will feature interviews with leaders in community management, DevRel, marketing, and more, offering valuable advice and strategies.
  3. The content aims to help businesses refine their developer go-to-market strategies and accelerate growth by learning from industry experts.

Ready, set..... not ready?

techandsocialcohesion • 19 implied HN points • 06 Mar 24
🕹 Technology Social media Elections Policies Transparency AI
  1. Social media platforms are not well-prepared for the upcoming elections, scoring below 62% in terms of election readiness.
  2. Many platforms lack policies to stop the spread of manipulated content like deepfakes and to prevent micro-targeting of AI-generated political ads.
  3. There is a lack of transparency regarding platforms' performance, enforcement of policies, and safety teams, raising concerns about their effectiveness in maintaining election integrity.

DRAFT: Notes: What Is the Techno-Optimist Slant on “AI”?

Brad DeLong's Grasping Reality • 169 implied HN points • 14 Mar 24
🕹 Technology AI Machine Learning Data Analysis Tech industry Digital Transformation
  1. Very large-scale, high-dimension regression and classification analysis will be game-changing, transforming bureaucracy to algorithms with significant impacts across sectors from finance to healthcare.
  2. Natural-language interfaces to databases may be challenging to control but offer more intuitive access to vast information repositories, potentially enhancing user efficiency.
  3. Autocomplete technology provides substantial time savings for white-collar workers, illustrating the significant productivity boost modern technologies can offer.

What Crypto Can Teach Us About A.I. Hype

The Digital Anthropologist • 39 implied HN points • 20 Nov 23
🕹 Technology Crypto Artificial Intelligence Industry Privacy Ethics
  1. The cryptocurrency industry's hype turned out to be largely a pyramid scheme, showing lessons to be learned for the Artificial Intelligence (A.I.) hype.
  2. Over-hyping A.I. can lead to disillusionment and hinder real progress, similar to what happened with crypto hype.
  3. To navigate the A.I. landscape better, companies should focus on tangible benefits, avoid over-promising, and incorporate human-centered approaches like Microsoft and Apple.

Claude 3 Ignites Cloud Wars

Sector 6 | The Newsletter of AIM • 19 implied HN points • 06 Mar 24
🕹 Technology AI Cloud Software Computing Data
  1. Claude 3 has made competition in the cloud market very intense, especially between Microsoft, Google, and Amazon. Each company is trying to outdo the others by adding new AI features.
  2. OpenAI is under pressure to release GPT-5 as Claude 3 shows strong performance. This situation is causing some confusion for Microsoft Azure.
  3. Anthropic's Claude 3 outperformed OpenAI's GPT-4 in several tests and is now available for businesses on platforms like Amazon Bedrock and Google Cloud. This gives businesses more options for AI tools.

Redis Changes Every few Years - Are you up to date?

🔮 Crafting Tech Teams • 59 implied HN points • 01 Jun 23
🕹 Technology Programming Databases Tech Trends
  1. Redis has evolved beyond just a cache and can be used for various purposes like PubSub notifiers, search DB, and event storage.
  2. Postgres, known as an SQL DB, can also be utilized as an event store, message queue, outbox, or document db, showcasing the versatility of technologies.
  3. It's essential to stay up to date with how technologies like Redis are changing over the years to make the most of their capabilities.

Hierarchy in Virtual Worlds

Philip’s Newsletter • 27 implied HN points • 01 Jul 25
🕹 Technology Virtual Worlds Design Artificial Intelligence Simulation Emergence
  1. Emergent hierarchies in nature show that complex structures develop over time, not from pre-set rules. This is like how multicellular life forms from simple atoms without a planned hierarchy.
  2. Second Life aimed to create a virtual world with simple rules that could naturally lead to complexity. It recognized the importance of allowing hierarchy to develop rather than forcing it.
  3. Today's technology allows for computers to simulate complex systems, which might help create virtual worlds that can mimic life and develop hierarchies on their own.

Defining The Great Uncoupling™

The Rectangle • 56 implied HN points • 21 Feb 25
🕹 Technology Devices Optimization Digital Life User Experience
  1. The goal is to stop letting my phone control my life and find a better balance with technology. It's tough to do this, but I'm determined to make a change.
  2. I plan to use an Apple Watch for most basic tasks like communication and payments, which will help reduce my phone usage. This way, I can enjoy the useful features of a watch without getting distracted by apps.
  3. I also want a simple device, like the Boox Palma 2, that lets me do essential things without the risk of endless scrolling. This will help me stay focused and less reliant on my phone.

☎️ E20: The State of Privacy Enhancing Technology and The Era of “Shift-Up” (Feat. Karim Eldefrawy of Confidencial.io)

Let Us Face the Future • 119 implied HN points • 19 Oct 23
🕹 Technology Data security Cryptography Compliance Application Security
  1. Application-level security is crucial and there is a trend towards 'shift-up' in data security.
  2. Compliance with NIST standards is a significant factor for adoption in regulated industries.
  3. The NIST PQC standardization process will drive wider adoption of cryptographic tools.

Easy Robotics with a 3D Printer and Raspberry Pi

Messy Progress • 59 implied HN points • 10 Feb 25
🕹 Technology Robotics 3D Printing Programming DIY Projects Electronics
  1. Making a robot with a 3D printer and a Raspberry Pi is fun and can be done on a budget. You can create many different designs without limits.
  2. A modular design is helpful because it allows for easy changes and quick fixes. This makes it easier for kids to participate and experiment.
  3. Using a Raspberry Pi for controlling your robot opens up many possibilities, like adding cameras or other fun components. You can even use simple coding to operate it.