The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Ranking the Chinese Open Model Builders

Democratizing Automation • 356 implied HN points • 17 Aug 25
🕹 Technology AI Open Source Machine Learning Research Innovation
  1. China's AI labs are rapidly releasing open models, showing strong competition with Western counterparts. Labs like DeepSeek and Qwen are leading the pack with frequent and high-quality outputs.
  2. DeepSeek is known for its innovative models and focus on performance, but its recent slower release pace has allowed other labs to catch up. They aim for continual improvement and impactful contributions.
  3. Other emerging companies like Moonshot AI and Zhipu are also gaining ground, offering competitive models and partnering with tech giants for investments. They are expected to grow and possibly reshape the AI landscape.

So, here we are ...

Tim Culpan’s Position • 19 implied HN points • 30 Aug 24
🕹 Technology Tech news Media Journalism Asia Career
  1. The author recently left a long career at Bloomberg and started a Substack to stay connected with followers. They weren't expecting such a positive response with many signing up and offering financial support.
  2. The author values their audience and will focus on Asia's technology scene moving forward. They want to keep their readers engaged with honest and critical insights.
  3. The author is interested in feedback and has created a poll to understand what their audience wants. However, they hint they'll ultimately follow their own path regardless of the results.

IEEE-754: THE floating-point standard

Fprox’s Substack • 124 implied HN points • 22 Nov 25
🕹 Technology Computing Standards Hardware Software Machine Learning
  1. IEEE-754 created a common binary floating-point standard that gives hardware and software consistent formats and behaviors, making numerical results more portable and predictable.
  2. Major revisions added practical features — notably the 2008 update introduced decimal formats, half-precision and the fused multiply-add (FMA) for better performance and accuracy, while later updates clarified edge cases and added augmented operations for exact-error reporting.
  3. Work is ongoing (including a 2029 revision and the P3109 effort for tiny formats), because emerging vendor-specific small formats for machine learning could fragment the ecosystem unless standards converge.

How Sony Mastered the Transistor

The Asianometry Newsletter • 1607 implied HN points • 07 Nov 24
🕹 Technology Electronics Innovation Manufacturing History Engineering
  1. Sony started from nothing after World War II, but two determined founders, Akio Morita and Masaru Ibuka, worked together to create innovative products like radios using new technology.
  2. They took a big risk by licensing transistor technology from Western Electric, believing it could change the way they made electronics, especially portable radios.
  3. Through trial and error, they learned how to produce reliable transistors and eventually created one of the first successful transistor radios, leading to the company's iconic brand name, Sony.

Data Science Weekly - Issue 553

Data Science Weekly Newsletter • 99 implied HN points • 27 Jun 24
🕹 Technology Data science Artificial Intelligence Machine Learning Data Engineering Data Visualization
  1. Data visualization can show important patterns, like changes in night and daylight globally. Understanding these trends helps us appreciate our environment better.
  2. In AI engineering, simplifying data preparation is crucial. Many new AI applications can be built without structured data, which might lead to rushed expectations about their effectiveness.
  3. Aquaculture technology is evolving with better methods to track and analyze fish behavior. New approaches like deep learning are making monitoring more accurate and efficient.
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2026 Predictions as a Comic Book and Poster Series

Jakob Nielsen on UX • 36 implied HN points • 26 Jan 26
🕹 Technology Artificial Intelligence User Experience Product Design Generative AI Human factors Automation UX Research
  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 AI Robotics Automation Energy Construction
  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.

Reinforcement learning with random rewards actually works with Qwen 2.5

Democratizing Automation • 633 implied HN points • 27 May 25
🕹 Technology AI Research Machine Learning Reinforcement Learning Open Source Computer Science
  1. Reinforcement learning using random rewards can still improve performance in models like Qwen 2.5, even when the rewards aren't perfect. This suggests that the learning process is more flexible than previously thought.
  2. Qwen 2.5 and its math-focused variants show that they might use unique reasoning strategies, like code-assisted reasoning, that help them perform better on math tasks. This means they learn in ways that other models might not.
  3. The ongoing debate about the effectiveness of reinforcement learning with verifiable rewards (RLVR) highlights the need for further research. It also suggests that scaling up the use of reinforcement learning could lead to new behaviors in models, making them more capable.

"Here's the sad state of the cloud"

Cloud Irregular • 3696 implied HN points • 22 Jan 24
🕹 Technology Cloud Computing Artificial Intelligence Tech industry Tech Culture Data Privacy
  1. The cloud landscape is shifting from big hyperscalers to more specialized services like standalone databases and DIY cloud-in-a-box.
  2. Using tools like Nightshade to protect art from being exploited by AI may not be the best strategy, focusing on creating original, high-quality art is key.
  3. Google, despite criticism, remains a significant player in the tech industry, seen as a symbol of intellectual prowess and innovation.

What Interviews Should I Look For?

Computer Ads from the Past • 384 implied HN points • 11 Aug 25
🕹 Technology Interviews Media Computation History Advertising
  1. The author is enjoying finding and sharing interesting interviews from old computer magazines. It's like digging for treasures from the past.
  2. The author is asking readers for suggestions on who they would like to see interviewed next. It’s a way to involve the audience in choosing future content.
  3. Readers are encouraged to share their thoughts in the comments. This helps create a community and shapes the direction of future posts.

The rise of reasoning machines

Democratizing Automation • 570 implied HN points • 12 Jun 25
🕹 Technology AI Machine Learning Computing Software Development Data science
  1. Reasoning is when we draw conclusions based on what we observe. Humans experience reasoning differently than AI, but both lack a full understanding of their own processes.
  2. AI models are improving but still struggle with complex problems. Just because they sometimes fail doesn't mean they can't reason; they just might need new methods to tackle tougher challenges.
  3. The debate on whether AI can truly reason often stems from fear of losing human uniqueness. Some critics focus on what AI can't do instead of recognizing its potential, which is growing rapidly.

Channels, not Addresses

Philip’s Newsletter • 31 implied HN points • 28 Jan 26
🕹 Technology Internet Security Privacy Networking Decentralization Messaging AI
  1. The internet's address-based model lets anyone send messages to you uninvited, which enables spam, DDoS, stalking, and will get much worse with persuasive AIs.
  2. Creating shared private channels between people makes messaging a pull-based, encrypted inbox you control, so others can't overwhelm you and you can stop contact by deleting the channel.
  3. Simple relays only store and forward encrypted channel messages, letting many devices and servers carry traffic without reading it, which makes messaging decentralized, censorship-resistant, and usable even offline.

Data Science Weekly - Issue 547

Data Science Weekly Newsletter • 179 implied HN points • 17 May 24
🕹 Technology Data science AI Machine Learning Data Visualization Software Development
  1. Learning Rust programming can be made easy with exercises designed for beginners, even if you know another language already. You’ll work through small tasks to build confidence.
  2. Data scientists need to learn how to work with databases to scale their analytics. Many face challenges when transitioning to this part of their work.
  3. There are helpful tools, like Data Wrangler for VS Code, that simplify data cleaning and analysis. These tools help generate code automatically as you work with your data.

This number does nothing...

atomic14 • 346 implied HN points • 23 Aug 25
🕹 Technology Software Hardware Engineering Programming Gadgets
  1. The common baud rate of 115200 is often used in Arduino projects, but testing shows that actual data rates can be much higher on some newer boards, like the ESP32-S3.
  2. Using USB connections instead of traditional serial connections can lead to significantly faster data transfer speeds, sometimes reaching over 9.6 Mbit/s.
  3. Performance tests can vary, especially between different firmware versions, and while raw numbers are interesting, real-world performance can be quite different.

DeepSeek: A Tragedy Foretold?

ChinaTalk • 1141 implied HN points • 31 Jan 25
🕹 Technology AI Open Source Innovation China tech Regulations
  1. DeepSeek is an open-source AI project in China that allows developers to use and build on its models for free. This supports the idea of sharing knowledge and innovation globally.
  2. Many Chinese tech leaders prefer closed-source models because they see open-source as less profitable. They believe it’s often not worth the investment when considering the costs involved.
  3. The Chinese government supports open-source initiatives to reduce dependence on foreign software, but there are concerns about how powerful AI could be regulated to ensure safety and control.

Issue #1 - We Need to Rethink Data

The Data Ecosystem • 259 implied HN points • 13 Apr 24
🕹 Technology Data Management Information Systems Data Strategy Business Intelligence Analytics
  1. The data industry is really complicated and often misunderstood. People usually talk about symptoms, like bad data quality, instead of getting to the real problems underneath.
  2. It's important to see the entire data ecosystem as connected, not just as separate parts. Understanding how these parts work together can help us find new opportunities and improve how we use data.
  3. This newsletter aims to break down complex data topics into simple ideas. It's like a cheat sheet for everything related to data, helping readers understand what each part is and why it matters.

2024 is all About Generative AI for Indian IT

Sector 6 | The Newsletter of AIM • 559 implied HN points • 08 Jan 24
🕹 Technology AI IT Business Trends Innovation
  1. 2024 is set to focus heavily on generative AI in the Indian IT sector. It's expected to drive many business deals and boost revenue.
  2. Major companies like Infosys, TCS, Wipro, and HCLTech will take the lead in integrating AI and enhancing skills for their workforce.
  3. This year aims for bigger AI projects compared to last year, moving towards larger contracts instead of smaller ones.

Hands-on graphics without X11

Blog System/5 • 1240 implied HN points • 17 Jan 25
🕹 Technology Software Graphics Hardware Programming Systems
  1. Using NetBSD's wscons framework, you can access and manipulate the graphical framebuffer directly without needing X11. This lets programmers draw graphics in a simpler way.
  2. The architecture of wscons is structured in layers, making it possible to interact with various hardware devices uniformly. It ensures that both output and input devices work across different machines.
  3. You can handle keyboard input using a feature called wsmux, which allows you to manage multiple keyboard devices easily. It makes your program more robust if a keyboard isn't connected right away.

Moral puzzles: Man vs. machine

DYNOMIGHT INTERNET NEWSLETTER • 562 implied HN points • 19 Jun 25
🕹 Technology AI Ethics Moral Philosophy Human Values Machine Learning Future Technology
  1. Current AI can understand human values to some extent, but it may not cover all complex situations. It's crucial to keep testing AI's responses on moral questions.
  2. People's opinions on moral dilemmas can vary significantly, especially on more unusual scenarios. This highlights the complexity of human ethics.
  3. Readers recognized that their views might differ from the general population, showing self-awareness in moral reasoning. It's good to be mindful of how diverse perspectives can be.

The Product Development Triathlon

Software Design: Tidy First? • 1436 implied HN points • 06 Dec 24
🕹 Technology Software Development Product Design Innovation Project management User Experience
  1. Product development happens in three main phases: Explore, Expand, and Extract. Each part has its own challenges and ways to tackle them.
  2. You need different skills and tools for each phase. Trying to use expansion tools in exploration will slow you down.
  3. It's important to notice when you're transitioning between phases. Adapting quickly helps keep the project on track.

Resilient Cyber Newsletter #4

Resilient Cyber • 79 implied HN points • 09 Jul 24
🕹 Technology Cybersecurity AI Vulnerability Management Regulation Workforce
  1. Cybersecurity roles are becoming more competitive, and many people want to join the field. It's important to have standards, but we also need to make sure newcomers have a chance to enter the profession.
  2. There's a huge increase in cybersecurity vulnerabilities, making it harder for companies to keep up. Organizations need better ways to manage these vulnerabilities to protect against attacks.
  3. The conversation around AI in cybersecurity is rising, with discussions on how to use it securely and the risks involved. Transparency is key to building trust, especially after high-profile breaches.

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 AI agents Automation Security Developer Tools Smart Home Productivity Education
  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.

Some ideas for what comes next

Democratizing Automation • 529 implied HN points • 23 Jun 25
🕹 Technology AI Models Machine Learning Data science Software Development Tech Trends
  1. OpenAI's new model, o3, is really good at finding information quickly, like a determined search dog. It's unique compared to other models, and many are curious if others will match its capabilities soon.
  2. AI agents, like Claude Code, are improving quickly and can solve complex tasks. They have made many small changes that boost their performance, which is exciting for users.
  3. The trend in AI models is slowing down in terms of size but improving in efficiency. Instead of just making bigger models, companies are focusing on optimizing what they already have.

From DeepSeek-R1 to GPT-OSS

Interconnected • 385 implied HN points • 05 Aug 25
🕹 Technology AI Development Open Source Innovation Competition Software
  1. OpenAI has released a new open-source model called gpt-oss, returning to its roots of sharing models with the public. This is a positive step that many hope will lead to more transparency in AI development.
  2. Both gpt-oss and another model called DeepSeek-R1 are open-source and allow anyone to use them without many restrictions. This approach encourages innovation and collaboration in the AI field.
  3. The competition between US and Chinese AI can result in more advancements for everyone, as these models inspire improvements on both sides. It's a win-win when companies focus on creating better technology together.

Under the microscope: Ford Mustang: The Legend Lives & Ford vs. Chevy (PlayStation 2, Xbox)

Rings of Saturn • 58 implied HN points • 03 Jan 26
🕹 Technology Reverse Engineering Video Games Software Engineering Digital Forensics Emulation Game Development
  1. You can uncover hidden cheat codes in old PS2 and Xbox games by inspecting runtime memory and controller input ring buffers with tools like Ghidra and runtime breakpoints; many games check a recent-input buffer each frame to match special sequences.
  2. In Ford Mustang: The Legend Lives, entering Up, Up, Up, Left, Down, Up, Right, Down, Down, Left, Right, Right, Up on the Profile screen unlocks all cars and all track variants on both PS2 and Xbox.
  3. In Ford vs. Chevy, pressing Up, Down, Left, Right at the main menu opens an Enter Cheat screen, and typing the word "POINTS" grants 625,000 points to buy cars; this cheat-buffer code is reused across multiple Eutechnyx games.

Data Science Weekly - Issue 541

Data Science Weekly Newsletter • 279 implied HN points • 05 Apr 24
🕹 Technology Data science AI Machine Learning Software Development Data Engineering
  1. AI agents have unique challenges that traditional laws may not effectively solve. New rules and systems are needed to ensure they are managed properly.
  2. JS-Torch is a new JavaScript library that makes deep learning easier for developers familiar with PyTorch. It allows building and training neural networks directly in the browser.
  3. Data acquisition is crucial for AI start-ups to succeed. There are strategies outlined to help these businesses gather the right data efficiently.

Artificial Intelligence: Mastercard’s new Neural Network for enhanced fraud detection

The Fintech Blueprint • 452 implied HN points • 06 Feb 24
🕹 Technology Artificial Intelligence Finance Deepfakes AI Applications
  1. Annual card fraud exceeds $33B, with digital wallets, credit, and debit cards projected to handle 86% of global POS payments by 2026.
  2. Mastercard introduced a new AI model, Digital Intelligence Pro, to improve fraud detection by using a proprietary recurrent neural network.
  3. Digital Intelligence Pro aims to reduce false positive fraud flags, leading to better fraud detection rates, potential savings of $90B yearly for merchants, and improved customer experiences.

Implementing Logic Programming

Burning the Midnight Coffee • 578 implied HN points • 13 Jun 25
🕹 Technology Programming Software Data science Artificial Intelligence Web Development
  1. Logic programming, unlike other programming styles, focuses on relationships and rules instead of just functions. This can make it better for solving complex problems.
  2. Prolog is a popular language in logic programming, allowing users to define facts and rules. This helps in querying relationships rather easily.
  3. Datalog is a simpler subset of Prolog that’s good for modeling relationships, and it's suggested that it could be more suitable for database work than SQL.

The AI safety problem is wanting

DYNOMIGHT INTERNET NEWSLETTER • 531 implied HN points • 26 Jun 25
🕹 Technology AI safety Machine Learning Ethics Computing Innovation
  1. AI safety is a big concern, and the main challenge is to make AI systems want to be nice to us. If they don't want to, they won't care about what we want.
  2. Trying to impose restrictions on AI won't work because a smarter AI can always find a way around them. Instead, we need to align AI with our values so it chooses to act positively.
  3. If we can ensure that AI genuinely wants to do what's best for us, the rest of the alignment problems become easier to manage. It's all about making sure AI understands and respects our values.

Using Microsoft Intune to Implement and Manage Security

Rod’s Blog • 535 implied HN points • 12 Jan 24
🕹 Technology Security Management
  1. Microsoft Intune is a cloud-based service to manage and secure devices in an organization.
  2. You can use Intune to enroll devices, create and assign security policies, and enhance security with Microsoft Defender for Endpoint.
  3. Monitoring device security status and alerts in Intune and Defender for Endpoint allows for better protection of devices and data.

v0.0.1: Open Source GitHub repo review

The Open Source Expert • 79 implied HN points • 08 Jul 24
🕹 Technology Open Source GitHub Software Development Project management Community Engagement
  1. Getting a repo's setup right is important. A good description and a clear README help users understand the project quickly.
  2. Having key documents like a Code of Conduct, License, and templates for issues and pull requests makes collaboration smoother.
  3. Using labels for issues helps keep everything organized, making it easier to find what you need in a busy project.

What is a software engineer?

Thái | Hacker | Kỹ sư tin tặc • 698 implied HN points • 30 Nov 23
🕹 Technology Software Engineering Experience Event Professional development
  1. A software engineer at Google will give a talk about the role, drawing from 10 years of experience.
  2. The talk will cover lessons on building and managing large teams, solving challenging tech problems, and working with people.
  3. The event is recommended for professionals across various roles in the software industry.

Sora Can’t Handle the Truth

Marcus on AI • 3398 implied HN points • 17 Feb 24
🕹 Technology AI Data Errors Training Data Images
  1. Large language models like Sora often make up information, leading to errors like hallucinations in their output.
  2. Systems like Sora, despite having immense computational power and being grounded in both text and images, still struggle with generating accurate and realistic content.
  3. Sora's errors stem from its inability to comprehend global context, leading to flawed outputs even when individual details are correct.

The Importance of Cybersecurity Training

Rod’s Blog • 535 implied HN points • 11 Jan 24
🕹 Technology Cybersecurity Training Best Practices
  1. Employees trained in cybersecurity are more likely to follow best practices like strong passwords and software updates.
  2. Cybersecurity training is crucial for employees to recognize and prevent cyber threats, like phishing emails.
  3. Implementing cybersecurity training involves assessing employee knowledge, defining learning objectives, using appropriate training formats, providing regular training, and evaluating effectiveness.

Under the microscope: Kyuutenkai (Saturn, PlayStation)

Rings of Saturn • 72 implied HN points • 23 Dec 25
🕹 Technology Video Games Reverse Engineering Emulation Software Engineering Game preservation Cheats
  1. Four secret passwords were found that trigger special effects on both PlayStation and Saturn versions, including one that gives nine chances, near-max points, all clear crystals, and access to the final boss and ending.
  2. The notable special passwords are SWSH YUTN MD (nine chances + max-ish points + clears), CHANCEGAX9 (nine chances), S1TENCLEAR (all clear crystals), and ABNA1YABA1 (zero chances).
  3. PlayStation and Saturn use different encoding phrases so most "natural" passwords aren’t compatible across systems; the reverse engineering showed the Saturn check uses a bitwise NOT against a static table and normal passwords are formed by XOR-ing game state with one of four platform-specific phrases.

The Impact of AI on Social Media

Rod’s Blog • 515 implied HN points • 16 Jan 24
🕹 Technology AI Social media Privacy Security Data Rights
  1. Artificial intelligence is extensively used on social media platforms like Facebook, Twitter, Instagram, and TikTok to personalize content, analyze user data, and moderate harmful content.
  2. AI on social media can enhance user experience by helping discover relevant content, connect with similar individuals, and create a safer online environment.
  3. Despite its benefits, AI poses risks to user privacy, security, and trust by collecting and exploiting data, creating biases and misinformation, and reducing user control over algorithms.

The Craftsman Table and the IKEA Desk: How AI Changed My Writing and Didn't Change it At All

Future History • 90 implied HN points • 09 Dec 25
🕹 Technology Artificial Intelligence Writing tools Content creation Productivity Tools Workflows Human-AI
  1. Use AI as a co-pilot, not a replacement: let it handle research, editing, and structure while you keep the human voice and craft.
  2. AI is powerful in narrow tasks but has a jagged edge—it can make brittle mistakes and lacks real abstraction, so always verify and fact-check its output.
  3. Adapt your tools and workflow to the job: lean heavily on AI for repetitive business writing, use it lightly for personal or creative work, and learn the craft yourself so you can make the most of AI.

My favorite 1980's Canadian TV show: Bits and Bytes

Omar’s Writing • 185 HN points • 11 May 24
🕹 Technology Computers Education Tech Culture Digital Literacy
  1. In the 1980's TV show Bits and Bytes, the creators had a high expectation of what the average person could understand about computers, aiming to educate at a very basic level on computer usage.
  2. Explaining technical matters to the average person should avoid oversimplification and strive to provide useful truths, similar to how Bits and Bytes used metaphors while maintaining honesty.
  3. When explaining complex technical matters today, it is important to strike a balance between abstraction and detailed knowledge, recognizing that the average person is capable of understanding if sufficiently motivated.