The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics
Jon’s Newsletter 239 implied HN points 26 Mar 23
  1. Bill Gates was really impressed by a demo of OpenAI's technology, calling it stunning. He believes we are entering a new era of AI that is as significant as the early Internet.
  2. Gates is now more involved with Microsoft’s AI projects, even though he stepped back from day-to-day roles in the company years ago. He is helping to guide the direction of AI innovations.
  3. Gates compared the recent demo to a groundbreaking experience he had in the 1980s with a new computer interface. He sees the current advancements in AI as a huge step forward for technology, much like those early developments.
DeFi Education 579 implied HN points 05 Jun 22
  1. Akash is a decentralized cloud computing platform that allows users to deploy applications easily. This gives people more control compared to traditional cloud services.
  2. It has a marketplace where buyers and sellers can exchange cloud computing resources. This makes it easier for users to find the services they need.
  3. Using Akash can be more cost-effective than popular centralized cloud providers like Amazon AWS or Google Cloud. This can save users money when they need cloud services.
davidj.substack 71 implied HN points 01 Jul 25
  1. Agents can simplify processes by automating tasks that used to require complex software. Instead of building software for specific needs, you can create a simple agent that does the job quickly.
  2. Developing an agent often takes much less time than traditional software development. With the right tools, you can set up a functioning agent in just half an hour.
  3. Businesses might shift focus from selling software to providing services that include agents. Customers will prefer solutions that are easy to use, so products with complicated setups may struggle to succeed.
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Space Ambition 359 implied HN points 04 Nov 22
  1. Space tourism has grown rapidly, with many more people traveling to space than ever before. Companies like Virgin Galactic and Blue Origin have made this possible.
  2. The cost of space tourism is very high, with prices for certain flights reaching hundreds of thousands or even millions of dollars. This makes it mostly accessible to wealthy individuals for now.
  3. There is a lot of potential for future space travel, including flights to Mars and even private space hotels. If technology improves, it might become more affordable for everyone in the coming decades.
Tales from the jar side 78 implied HN points 07 Jan 24
  1. Working with AI models often requires subscriptions that cost money, but running your own LLM locally can be done with open-source models like Llama 2.
  2. Spring Text-to-Speech project involves using Spring framework with HTTP exchange interfaces and RestClient class for mp3 generation from text.
  3. Spring AI project is still in early versions, like 0.8.0-SNAPSHOT, with possible changes and bugs, making preparations for a training course challenging.
Technically 16 implied HN points 02 Dec 25
  1. It's best to start using AI by automating small, annoying tasks instead of trying to automate everything at once. Focusing on one specific issue can lead to better results.
  2. The 'messy middle' is where AI works best. It's about tasks that are time-consuming but not critical, like summarizing reports or sorting feedback.
  3. AI can help improve parts of your job, but don't expect it to replace everything overnight. It can assist in making repetitive tasks easier and faster.
Faster, Please! 456 implied HN points 18 Mar 24
  1. Artificial General Intelligence is a concept that doesn't exist yet and may never be achieved, but some experts believe it's coming soon.
  2. AI is viewed as a tool to enhance human capabilities and create new opportunities rather than a threat to job security.
  3. The impact of AI on the economy will depend on whether there is a limit to the complexity of tasks humans can perform.
TheSequence 217 implied HN points 24 Nov 24
  1. Quantum computing faces challenges due to noise affecting performance. AI, specifically AlphaQubit, helps improve error correction in quantum systems.
  2. AlphaQubit uses a neural network design from language models to better decode quantum errors. It shows greater accuracy and adapts to various data types effectively.
  3. While AlphaQubit is a major step forward, there are still issues to tackle, mainly concerning its speed and ability to scale for larger quantum systems.
The Uncertainty Mindset (soon to become tbd) 99 implied HN points 29 Nov 23
  1. Asking good questions is important for getting useful answers. A good question is one that is foundational, meaning its answer can help answer many other questions.
  2. Foundationality is about understanding questions in a hierarchy. The more foundational a question is, the more it influences other questions.
  3. Thinking clearly and framing questions well can lead to breakthroughs. It may be hard work, but it's necessary to unlock important answers, especially in complex areas like AI.
Asimov’s Addendum 2 HN points 04 Sep 24
  1. AI safety discussions should focus not only on stopping outside threats but also on the risks from the owners of AI systems. These owners can create harm while just trying to achieve their business goals.
  2. There is a need to recognize and learn from past technology failures as these patterns might repeat with AI. We should not overlook potential issues that arise from how AI is managed and used.
  3. It's important for AI developers to share what they are measuring and managing in terms of safety. This information can help shape regulations and improve safety practices as AI becomes more integrated into business models.
QUALITY BOSS 39 implied HN points 05 Apr 24
  1. Incident reports help us learn from mistakes without blaming anyone. By understanding what went wrong, we can improve processes and avoid future issues.
  2. Writing incident reports takes time but leads to fewer problems later. They keep everyone informed and help prioritize important improvements.
  3. To make incident reports effective, clear criteria and responsibility are needed. It's important to track action items so that lessons learned actually lead to real changes.
TheSequence 189 implied HN points 29 Dec 24
  1. Artificial intelligence is moving from preference tuning to reward optimization for better alignment with human values. This change aims to improve how models respond to our needs.
  2. Preference tuning has its limits because it can't capture all the complexities of human intentions. Researchers are exploring new reward models to address these limitations.
  3. Recent models like GPT-o3 and Tülu 3 showcase this evolution, showing how AI can become more effective and nuanced in understanding and generating language.
Brick by Brick 9 implied HN points 24 Dec 25
  1. AI coding tools have evolved into a diverse, faster set of assistants with different interaction styles, and engineers now choose which tool to use for each task.
  2. These tools speed up work but rarely produce code that’s clearly better — most AI-generated code still needs human review, polishing, or refactoring before it’s ship-ready.
  3. Engineers use AI selectively and responsibly: they get productivity and satisfaction gains while maintaining ownership of code quality and long-term maintenance.
The Product Channel By Sid Saladi 20 implied HN points 16 Nov 25
  1. Using AI tools can save you a lot of time on research tasks. Instead of spending hours gathering information, the AI can do it for you and help you focus on the important stuff.
  2. Automating tasks like competitive analysis and trend monitoring can improve the quality of your work. You can get real-time data and insights without getting bogged down by manual processes.
  3. It's important to adapt your workflow to new technologies. When you let AI handle the busywork, you can dedicate more time to creative and strategic thinking.
Rod’s Blog 119 implied HN points 24 Oct 23
  1. Legacy authentication poses a significant security risk as it makes it easier for attackers to compromise user accounts.
  2. Microsoft Entra ID recommends disabling legacy authentication to improve security.
  3. Microsoft Sentinel can help detect and mitigate login attempts using legacy authentication by analyzing sign-in logs, creating alerts, and taking appropriate actions.
Rod’s Blog 99 implied HN points 27 Nov 23
  1. KQL's search operator is a powerful tool for finding potential threats in a company's data environment.
  2. Using specific queries like filtering by tables and applying operators like 'has' can help pinpoint suspicious activities in data.
  3. Collaborating with trusted teammates is crucial in verifying and responding to potential cybersecurity threats promptly.
Tech Talks Weekly 19 implied HN points 28 Jun 24
  1. The Tech Talks Weekly shares new tech conference talks each week, so you can catch up on the latest ideas without scrolling through messy video lists.
  2. This week features talks from major events like the React Summit and PyCon, covering a variety of topics in programming and tech.
  3. You can help grow the Tech Talks community by sharing it with friends and filling out a short form to provide feedback.
NEUROTECH FUTURES 59 implied HN points 14 Feb 24
  1. Neurotech industry news: Companies like Elemind, Brain Scientific, Healium, and more are making advancements in neurotechnology with new products and FDA clearances.
  2. Industry analysis and activities: Discussions and events are happening around topics like investing in neurotech startups, brain scanning technology, and advancements in deep brain stimulation for Parkinson's disease.
  3. Community engagement: Aside from the serious industry news, there are fun and interesting neuroscience-related studies and activities for people to enjoy, such as research on penguin microsleep and a neuroscience poetry contest for kids.
Frankly Speaking 203 implied HN points 26 Nov 24
  1. Understanding AI is crucial for its security. If you don't understand how something works, it's hard to protect it.
  2. The basic security issues with AI are similar to existing security practices. Protecting data and conducting regular audits can help.
  3. Setting policies for AI security is important. This includes knowing what data is used and how internal AI tools are developed.
TheSequence 182 implied HN points 05 Jan 25
  1. The Sequence newsletter is evolving to offer more focused content, catering to both AI scientists and engineers. This means you'll get richer discussions on research and practical applications.
  2. There will be new editions each week that cover a variety of topics like education, engineering, interviews, and insights. This change aims to make the content shorter and easier to digest.
  3. The discussions around reasoning in AI are expanding to include smaller models, challenging the idea that only large models are capable of complex reasoning. It's an exciting area of exploration.
Maker News 7 implied HN points 31 Dec 25
  1. The maker community stayed curious and playful through 2025, prioritizing exploration, learning, and hands-on experimentation even when projects got messy.
  2. Practical, clever hacks and tools stood out — from ESP32 USB JTAG debugging and Raspberry Pi test benches to multicolor 3D printer mods, tiny spectrum analyzers, DIY chips, and firmware hacks.
  3. The year closed with community momentum and useful opportunities, like discounted CE certification for open-source hardware, encouraging makers to keep building into 2026.
Clouded Judgement 12 implied HN points 19 Dec 25
  1. Systems of record will remain the essential source of truth, but agents and new interfaces create a different "front door" that could be owned by others and shift where value accrues.
  2. The travel industry shows the pattern: record-keeping platforms kept the data while consumer-facing OTAs captured the front door and most economic upside, implying enterprise SaaS could see the same outcome.
  3. Legacy SaaS firms can either build the new front door or defend by locking data and charging egress fees, and many are likely to adopt defensive tactics that change margins and value capture.
UX Psychology 158 implied HN points 16 Jan 23
  1. Terminology used to describe intelligent systems can impact how people perceive and evaluate them. Different terms like 'AI', 'algorithms', or 'robots' can influence perceptions of complexity, trustworthiness, and human-likeness.
  2. Research shows that the terminology chosen can affect perceptions of fairness and trust in intelligent systems. Terms like 'algorithm' and 'sophisticated statistical model' may lead to better evaluations compared to 'artificial intelligence'.
  3. The terminology selected for discussing intelligent systems can have strategic implications. Companies and product designers can intentionally use terminology to shape perceptions, engage users, and influence attitudes towards products using intelligent systems.
Sung’s Substack 79 implied HN points 02 Jan 24
  1. Having dirty hands from diving into actual projects is important for growth, rather than just focusing on certifications or theory.
  2. Solving real problems in public and getting your hands dirty in open source can have a significant impact on your career, surpassing the importance of certifications.
  3. Engaging in hands-on experience and collaborating on projects that matter can lead to valuable personal growth and career advancement.
Resilient Cyber 239 implied HN points 28 Apr 23
  1. Cybersecurity issues won't fix themselves through friendly advice. The market often tolerates insecure products, leading to many security breaches that affect us all.
  2. Changing how we handle cybersecurity needs new rules. We must shift accountability and liability to make companies take security seriously and protect the data of their customers.
  3. Cybersecurity can be a key part of business success. If companies start prioritizing security due to regulations, it could help reduce risks and become a real advantage.
TheSequence 14 implied HN points 10 Dec 25
  1. Gemini Deep Think is a “thinking layer” added on top of large multimodal models that turns a mixture-of-experts into a coordinated swarm of small reasoning agents.
  2. It runs parallel, coordinated inference-time processes, which let it solve very hard problems and achieve state-of-the-art results on benchmarks like Olympiad-level math.
  3. The key insight is that how you use compute at inference time matters as much as raw parameter count, pushing future model design toward dynamic runtime strategies.
Last Week in AI 258 implied HN points 08 May 23
  1. Geoffrey Hinton leaving Google highlights concerns around generative AI and the need for responsible technological stewardship
  2. The surge in AI-generated music raises questions about artists' rights, cultural appropriation, and the balance between technology and ethics
  3. Development of chatbots like MLC LLM running on various devices shows potential for local AI processing and privacy benefits
Unmoderated Insights 19 implied HN points 04 Jun 24
  1. A new subscriber chat is available on Substack for discussions and insights. It's like a group chat where everyone can join in.
  2. You can use the chat to share thoughts, ask questions, or talk about topics like data and social technology.
  3. To join the chat, you need to download the Substack app and look for the chat icon to start connecting.