The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Concept design in three easy steps

Subconscious • 711 implied HN points • 19 May 23
🕹 Technology Design Software Apps Concepts Engineering
  1. View software design as shaping functionality, understand what it should do first before how it does it or how it looks.
  2. Break down app functionalities into modular concepts, each with its own behavior and actions, combine existing concepts creatively.
  3. Design concepts to function independently, sync actions to ensure smooth interaction, focus on how concepts fit together to improve usability.

Building a PC #1: Why bother?

The Rectangle • 56 implied HN points • 19 Jul 25
🕹 Technology Computing Hardware Gaming DIY Journalism
  1. Building your own PC can be very rewarding and is often seen as a personal challenge for tech enthusiasts. It allows you to create a computer that fits your specific needs.
  2. Nostalgia can play a big role in the desire to build a PC, reminding you of your childhood passions and interests in technology.
  3. Investing in a PC can also be about rekindling old hobbies and interests, creating a sense of joy and satisfaction.

The Sequence Radar #554 : The New DeepSeek R1-0528 is Very Impressive

TheSequence • 77 implied HN points • 01 Jun 25
🕹 Technology AI Computing Machine Learning Software Engineering
  1. The DeepSeek R1-0528 model is really good at math and reasoning, showing big improvements in understanding complicated problems.
  2. This new model can handle large amounts of data at once, making it perfect for tasks that need lots of information, like technical documents.
  3. DeepSeek is focused on making advanced AI accessible to everyone, not just big companies, which is great for developers and researchers with limited resources.
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Analyze research papers with Gemini 2.0

Gonzo ML • 126 implied HN points • 23 Feb 25
🕹 Technology Artificial Intelligence Machine Learning Natural Language Processing Data science Cloud Computing
  1. Gemini 2.0 models can analyze research papers quickly and accurately, supporting large amounts of text. This means they can handle complex documents like academic papers effectively.
  2. The DeepSeek-R1 model shows that strong reasoning abilities can be developed in AI without the need for extensive human guidance. This could change how future models are trained and developed.
  3. Distilling knowledge from larger models into smaller ones allows for efficient and accessible AI that can perform well on various tasks, which is useful for many applications.

✅ AI in PR tool book chapter-a-day published on #FuturePRoof website

Wadds Inc. newsletter • 79 implied HN points • 11 Dec 23
🕹 Technology AI Tools Public Relations Media Productivity Innovation
  1. A new book about AI tools for public relations is now available, with daily chapters being published online. It aims to help PR professionals work better and smarter.
  2. The book is based on insights from experts and includes practical case studies. This means readers can learn from real-world examples and not just theory.
  3. The process to create and publish this book was fast, taking only three months. This quick turnaround is important in the fast-changing world of technology.

What is a Founding Engineer?

Jake [Building in NYC] • 59 implied HN points • 25 Jan 24
🕹 Technology Engineering Product Development Startups User Experience Leadership
  1. Founding engineers have to work really fast. They need to handle problems quickly and keep feedback flowing between users and the business.
  2. Empathy is key for founding engineers. They should think about how users will respond to their work and make it as easy and enjoyable as possible.
  3. A founding engineer always seeks the truth. They are curious and unafraid to ask questions to understand problems better and find effective solutions.

📝 Guest Post: Advanced RAG Techniques: Bridging Text and Visuals for More Accurate Responses*

TheSequence • 175 implied HN points • 09 Dec 24
🕹 Technology AI Data science Machine Learning Software Development Information Retrieval
  1. RAG techniques combine the power of language models with external data to improve accuracy. This means AI can give better answers by using real-world information.
  2. Advanced methods like Small to Slide RAG make it easier for AI to work with visual data, like slides and images. This helps AI understand complex information that is not just text.
  3. ColPali is a new approach that focuses on visuals directly, avoiding mistakes from converting images to text. It's useful for areas like design and technical documents, ensuring important details are not missed.

📝 Guest Post: LoRA Land: 25 Fine-Tuned Mistral-7b LLMs that Rival or Outperform GPT-4

TheSequence • 413 implied HN points • 23 Feb 24
🕹 Technology AI Fine-tuning Models Efficiency Infrastructure
  1. Efficient fine-tuning with specialized models like Mistral-7b LLMs can outperform leading commercial models like GPT-4 while being cost-effective.
  2. Incorporating techniques like Parameter Efficient Fine-Tuning and serving models via platforms like LoRAX can significantly reduce GPU costs and make deployment scalable.
  3. Using smaller, task-specific fine-tuned models is a practical alternative to expensive, large-scale models, making AI deployment accessible and efficient for organizations with limited resources.

Why HS2 is a disaster

Odds and Ends of History • 67 implied HN points • 23 Jun 25
🕹 Technology Transportation Data Urban planning Autonomous Vehicles Infrastructure
  1. HS2 has faced serious construction issues, making it a problematic project overall. Many believe it hasn’t turned out the way it was planned.
  2. Autonomous vehicles are getting closer to being a reality in London, but there are many possible effects to consider as they become common.
  3. Tom Forth is working on a project called the National Data Library, which aims to improve data sharing and transparency with the government.

AI Roundup 129: Personal Superintelligence

Artificial Ignorance • 50 implied HN points • 01 Aug 25
🕹 Technology Artificial Intelligence Innovation Tech industry Research Geopolitics
  1. Meta is working on a personal superintelligence for everyone, focusing on AI that understands people deeply and helps them achieve their goals.
  2. Builder.ai, a company that promised to revolutionize app development with AI, has gone bankrupt after fraud accusations, highlighting issues in the startup world with misleading AI claims.
  3. China is positioning itself as a leader in open-source AI development, looking to counter U.S. restrictions while boosting its own AI industry through significant state investment.

Intro to PDB, the Python Debugger

Bite code! • 733 implied HN points • 09 May 23
🕹 Technology Programming Debugging Commands Tips Python
  1. PDB is a basic but useful debugger that comes with Python by default, allowing you to pause programs, enter a debugging shell, and analyze program states.
  2. Learning to use PDB is valuable because it helps you understand debugging fundamentals, and knowing PDB can translate to using other debuggers as well.
  3. PDB offers various helpful commands like 'help', 'quit', 'list', 'next', 'continue', 'until line', 'jump line', 'display', 'step', 'return', 'up', and 'down' for effective debugging in Python.

Modellion

davidj.substack • 179 implied HN points • 25 Nov 24
🕹 Technology Data architecture Big Data Data Modeling Database Management Cloud Computing
  1. Medallion architecture is not just about data modeling but represents a high-level structure for organizing data processes. It helps in visualizing data flow in a project.
  2. The architecture has three main layers: Bronze deals with cleaning and preparing data, Silver creates a structured data model, and Gold is about making data easy to access and use.
  3. The terms Bronze, Silver, and Gold may sound appealing to non-technical users but could be more accurately described. Renaming these layers could better reflect their actual roles in data handling.

Please Stop Saying Long Context Windows Will Replace RAG

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 18 Mar 24
🕹 Technology AI Machine Learning Data science Natural Language Software Development
  1. Long context windows (LCWs) and retrieval-augmented generation (RAG) serve different purposes and won’t replace each other. LCWs work well when asking multiple questions at once, while RAG is better for separate inquiries.
  2. Using LCWs can get really expensive because they involve processing a lot of data at once. In contrast, RAG uses smaller, focused data chunks, which helps keep costs down.
  3. Research shows that LLMs perform better when important information is at the start or end of a long context. So, relying only on LCWs can lead to problems since crucial details may get overlooked.

RIP Skype

The PhilaVerse • 123 implied HN points • 28 Feb 25
🕹 Technology Communication Software Platforms User Experience Data Management
  1. Microsoft is shutting down Skype on May 5, 2025, after more than two decades of service. They are focusing on Teams now for communication.
  2. Users have 10 weeks to move their data from Skype to Teams or export their information. After that, user data will be kept until the end of 2025 before it is deleted.
  3. Skype had a big drop in users, going from 300 million at its peak to only 36 million daily users by 2023, which is why Microsoft made this decision.

New applied metascience lab - Future House announced + some thoughts on UK applied metascience

James W. Phillips' Newsletter • 98 implied HN points • 01 Nov 23
🕹 Technology Research AI Innovation Policy Entrepreneurship
  1. A new applied metascience lab called Future House has been announced, with a focus on using AI to accelerate scientific research.
  2. Future House aims to create an 'AI scientist' that can independently develop hypotheses by analyzing scientific papers.
  3. The UK needs to prioritize initiatives like Future House to orient to new opportunities and empower quality talent in research.

AI Roundup 123: Video killed the image gen star

Artificial Ignorance • 67 implied HN points • 20 Jun 25
🕹 Technology Artificial Intelligence Video Generation Machine Learning Geopolitics Data Privacy AI Ethics
  1. Midjourney has released its first video generation model, but it didn't impress as much as earlier models. The AI space is rapidly evolving with better video technologies emerging.
  2. AI chatbots, like ChatGPT, can lead users into dangerous conspiracy theories and other harmful ideas. It's important for developers to understand the psychological impact these technologies have on vulnerable users.
  3. Chinese AI companies are creatively bypassing US chip restrictions to continue developing their technologies. This shows the lengths companies will go to adapt under strict regulations.

“Am I the Jared Kushner?”

benn.substack • 741 implied HN points • 21 Apr 23
🕹 Technology Analysis Data Teams AI
  1. Analysts should reflect on their role and avoid behaving like Jared Kushner
  2. Being a data analyst involves providing informed insights, not just being a 'nicer, kinder' Jared Kushner
  3. Focusing on keeping the company well-informed through regular updates can be more effective than traditional data reporting

Nano-GPT: access GPT-4, DALL·E 3 and other models using Nano (and other crypto)

Senatus’s Newsletter • 58 implied HN points • 27 Jan 24
🕹 Technology Cryptocurrency AI Blockchain Web Development
  1. Nano-GPT allows access to advanced AI models like GPT-4 and DALL·E 3 for a fraction of the usual cost.
  2. The service is affordable, charging just cents for various uses like creating content, programming help, and medical advice.
  3. Users can pay with various cryptos through Nano-GPT, promoting accessibility and privacy.

Introducing TapToAuth: Bringing the Familiarity of Contactless Payments to Open Banking

Building The Future of Payments by Mike Kelly • 59 implied HN points • 24 Jan 24
🕹 Technology Payments Security Retail Innovation
  1. TapToAuth combines contactless payments with the advantages of open banking, offering a new, secure, and cost-effective solution.
  2. This innovation minimizes fraud, reduces digital payment costs by enabling instant fund transfers, and enhances security with a cryptographically secured NFC protocol.
  3. TapToAuth not only provides a seamless customer experience but also integrates loyalty programs and digital receipts, transforming every transaction into an engagement opportunity for retailers.

The Incompatibility of Open Core and Profit

Bytes, Data, Action! • 109 HN points • 28 Feb 23
🕹 Technology Open Source Business Model Monetization Strategies Transparency
  1. Open core business models may have conflicting incentives with profit goals.
  2. Open core companies often start with free products to attract users, then shift focus to monetizing through premium features and services.
  3. There are alternative strategies to align incentives better in open source businesses, such as keeping proprietary data, clear expectations, and open source components.

Composites and Correlations

Cybernetic Forests • 139 implied HN points • 26 Feb 23
🕹 Technology Biases Machine Learning Algorithms
  1. Composite images were historically used to reinforce racist and eugenic ideologies, linking appearance with criminality and intelligence.
  2. The use of language and categorization in AI-generated images can perpetuate biases and stereotypes, reflecting societal norms and prejudices.
  3. The dataset used in AI models can influence the outcomes, showing how biases and problematic representations are embedded in the generated images.

Concise Chain-of-Thought (CCoT) Prompting

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 59 implied HN points • 24 Jan 24
🕹 Technology AI Machine Learning Prompt engineering Natural Language Data Analysis
  1. Concise Chain-of-Thought (CCoT) prompting helps make AI responses shorter and faster. This means you save on costs and get quicker answers.
  2. Using CCoT, the response length can be reduced by almost 50%, but it can lead to lower performance in math problems. So, it’s a trade-off between speed and accuracy.
  3. For cost-saving in AI, focusing on reducing the number of output tokens is key since they are generally more expensive. CCoT is one way to achieve this without sacrificing performance too much.

On the Societal Impact of Open Foundation Models

AI Snake Oil • 398 implied HN points • 27 Feb 24
🕹 Technology AI Societal Impact Risk Assessment Regulation
  1. The paper on the societal impact of open foundation models clarifies the discrepancy in claims about openness's societal effects, examines the benefits like transparency and empowering research, and proposes a risk evaluation framework for comparing risks of open vs. closed foundation models and existing technologies.
  2. The framework for risk assessment in the paper outlines steps like threat identification, evaluating existing risks and defenses, and determining the marginal risk of open foundation models. It aims to provide a structured approach to analyzing risks associated with open foundation models.
  3. By analyzing benefits, such as distribution of decision-making power, innovation, scientific research facilitation, and transparency, the paper sheds light on the advantages of open foundation models and offers recommendations for developers, researchers, regulators, and policymakers to navigate the landscape effectively.

Why you (probably) shouldn't use LIME to explain model predictions

Mindful Modeler • 159 implied HN points • 28 Mar 23
🕹 Technology Machine Learning Interpretability
  1. Local Interpretable Model-Agnostic Explanations (LIME) can be challenging to use effectively due to the difficulty in defining the 'local' neighborhood.
  2. The choice of kernel width in LIME is critical for the accuracy of the explanations, but it can be unclear how to select the appropriate width for different datasets and applications.
  3. There are alternative methods like Shapley values, counterfactual explanations, and what-if analysis that offer interpretability without the need to specify a neighborhood, making them potentially more suitable than LIME for certain cases.

Why The Debates Over A.I. Are Wonderful

The Digital Anthropologist • 79 implied HN points • 08 Dec 23
🕹 Technology Debates Ethics Societal Impact Job Market
  1. AI debates are crucial: These discussions around AI are vital for society, as they prompt reflection on what it means to be human.
  2. Global engagement in AI discourse: Civil society, academia, and governments are all actively involved in conversations about AI.
  3. AI's societal impact: AI technology sparks debates on jobs, human storytelling, societal structures, and what it means to be human.

Launching: Mini Printer Pal!!!

vrk loves paper • 119 implied HN points • 01 Aug 23
🕹 Technology Software Design Development Open Source Education
  1. Mini Printer Pal is a free tool that helps you edit photos for a specific printer, making printing easier for users.
  2. The creator found joy in working solo after many years of team projects, feeling a sense of accomplishment from start to finish.
  3. Looking ahead, the creator is considering new projects, such as building a fortune-telling device or creating a stationery zine with friends.

Space inventions: they are all around you

Space Ambition • 319 implied HN points • 14 Oct 22
🕹 Technology Space Tech Medical Devices Consumer Products Food technology
  1. Many everyday items like zippers and Velcro were improved by space technology. These inventions help us in sports and other activities, showing how space research benefits daily life.
  2. Space technology has led to important medical advancements. For example, special pumps and dental X-rays have origins in space exploration, making healthcare better for everyone.
  3. Products developed for space, like memory foam and water filters, are now widely used on Earth. These inventions make our homes and lives more comfortable and healthy.

Authcon Recap

ciamweekly • 62 implied HN points • 23 Jun 25
🕹 Technology Identity Management Software Development User Authentication Cybersecurity Data Privacy
  1. Passwords are becoming less common as new methods like passkeys and magic links are easier and safer. However, passwords will still be around because they give users full control.
  2. The customer identity and access management (CIAM) industry is still growing. As the internet expands, we'll need accounts for all kinds of everyday tasks.
  3. Learning from other people's experiences is valuable. The conference showcased practical lessons on handling user authentication and security from real-world situations.

How Would The Architecture For An LLM Agent Platform Look?

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 24 May 24
🕹 Technology AI NLP Software Architecture Systems
  1. The architecture for an LLM agent platform could develop in three stages, starting with a simple AI that recommends tools based on user needs.
  2. As the platform grows, it will enable interactions between multiple tools and the AI, allowing for dynamic exchanges of information.
  3. Future improvements will focus on enhancing the agent's capabilities through better tools and more collaboration among them.

Special Announcement: 1st Date Set for Spatial Web AI Learning Lab LIVE

Spatial Web AI by Denise Holt • 58 implied HN points • 25 Jan 24
🕹 Technology AI Spatial Computing LIVE Stream
  1. Learn about Active Inference AI and Spatial Computing in a new Learning Lab LIVE series for $5/month or $32/year.
  2. The series delves into concepts like Active Inference, Spatial Computing, and how these technologies merge in the future.
  3. Each monthly presentation covers topics like the Spatial Web Protocol, Belief Updating, Holon architecture, and more, with two LIVE sessions per month.

Why I moved from Rails to Node.js

Implementing • 78 implied HN points • 10 Dec 23
🕹 Technology Programming Web Development Career growth Frontend Development
  1. Transitioning from Rails to Node.js can provide a deeper understanding of how things work by allowing more control over configurations and avoiding excessive abstractions.
  2. Opting for Node.js can bring more job opportunities and choices due to its market demand, especially in medium and large enterprises.
  3. Using JavaScript for both Node.js backend and frontend frameworks like Vue.js can empower developers with a versatile skillset and broaden job prospects.