The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Choosing the right UX metrics - Part 2

UX Psychology • 158 implied HN points • 03 Oct 22
🕹 Technology UX Design Metrics Product Management User Experience Data Analysis
  1. Identifying clear goals is crucial in choosing the right UX metrics, involving team and stakeholders can help define meaningful and actionable metrics.
  2. Mapping goals to signals helps track progress towards goals; gathering user feedback and reviews can be essential signals to measure UX success.
  3. Refining signals into specific metrics is the final step, where data scientists can assist in ensuring metrics are measured accurately; focus on key metrics and avoid adding unnecessary data.

Finding the right attention span : A constant battle

Uneasy’s Substack • 19 implied HN points • 03 May 24
🕹 Technology Social media Procrastination Productivity Mental health
  1. It's tough to focus in today's world filled with distractions. We often choose short-term pleasures over long-term goals.
  2. Setting up routines and limiting phone use can really help improve focus and productivity. Trying to get things done without your phone can be a game changer.
  3. Boredom isn't bad; it's actually important for growth. Embracing boredom can lead to greater achievements down the line.

Why Technologies Become Geopolitical

The Digital Anthropologist • 19 implied HN points • 03 May 24
🕹 Technology Geopolitics Artificial Intelligence Weapons Digital Technologies
  1. Technologies become geopolitical when they offer economic or military advantages over other nations.
  2. Stories and values play a significant role in shaping how technologies become geopolitical.
  3. Digital technologies like AI and communication tools are shaping the geopolitical landscape due to their influence on information warfare and storytelling.

Edition #2: Agent Security Standards + Identity/Authorization + Secure Agent Engineering + SecureVibes Update

Boring AppSec • 7 implied HN points • 17 Dec 25
🕹 Technology Artificial Intelligence Cybersecurity Identity Authorization Software Engineering Standards
  1. AI agent systems need new standards to measure and manage risk because traditional vulnerability scoring and IAM are built for deterministic, human-scoped sessions. Risk models must account for agent autonomy and enforce task-scoped, intent-aware access.
  2. Building secure agents means defending against prompt injection and goal-manipulation, providing explicit contextual inputs, sandboxed error handling, and continuous evals and tracing to tame probabilistic behavior.
  3. Product security should favour practical, incremental fixes and context-aware prioritization, using AI to propose patches but validating downstream impacts and tribal knowledge. Strengthening agent-to-agent protocols and supply-chain controls is essential to prevent abuse and preserve trust.

Becoming a beginner again

Tribal Knowledge • 19 implied HN points • 03 May 24
🕹 Technology Programming Learning Tools Languages Innovation
  1. Embrace the mindset of a beginner to approach problems with fresh eyes and dive into learning without overthinking.
  2. Experiment with new tools, languages, and technologies to keep yourself engaged and continuously learning in your field.
  3. Maintain curiosity and openness to new experiences in order to stay motivated and discover innovative solutions in your work.
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The value of grunge work

Wednesday Wisdom • 113 implied HN points • 15 Jan 25
🕹 Technology Software Development Agile Methodology Tech Debt Work Culture Engineering Practices
  1. Tech debt happens when we make bad decisions in software development. It can pile up, making fixing problems a big task for teams.
  2. Doing hands-on work, or 'grunge work,' helps deepen understanding of the tech systems. It’s crucial for maintaining and improving technology.
  3. To tackle tech debt effectively, it should be part of official job expectations. This way, everyone contributes and helps keep things running smoothly.

Data Design For Fine-Tuning LLM Long Context Windows

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 03 May 24
🕹 Technology AI Machine Learning Data science Natural Language Software Development
  1. Fine-tuning large language models (LLMs) can help them better understand and use long pieces of text. This means they can make sense of information not just at the start and end but also in the middle.
  2. The 'lost-in-the-middle' problem happens because LLMs often overlook important details in the middle of texts. Training them with more focused examples can help address this issue.
  3. The IN2 training approach emphasizes that crucial information can be found anywhere in long texts. It uses specially created question-answer pairs to teach models to pay attention to all parts of the context.

How AI Infused PCs are Transforming the Computing Industry and Business

Rod’s Blog • 39 implied HN points • 14 Feb 24
🕹 Technology AI Business Hardware Software
  1. AI infused PCs have artificial intelligence capabilities built into the hardware to enhance performance and user experience.
  2. AI infused PCs are driving demand for advanced hardware, software, and infrastructure in the computing industry.
  3. In businesses, AI infused PCs streamline operations, reduce costs, increase efficiency, and provide valuable insights for improved customer satisfaction and loyalty.

Run A Small Language Model (SLM) Local & Offline

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 14 Feb 24
🕹 Technology AI Machine Learning Data Privacy Software Development Chatbots
  1. Small Language Models (SLMs) can be run locally, giving you more control over your data and privacy. This means you can use them even without an Internet connection.
  2. SLMs are great for specific tasks that don't need the power of larger models, such as simple text generation or sentiment analysis. They can do a lot with less resource demand.
  3. Using SLMs can help businesses reduce costs related to API limits and data privacy issues. They also address delays that come with using larger models.

🎉 Happy New Year! Your Top Articles of 2025 + A Big Thank You

The Product Channel By Sid Saladi • 6 implied HN points • 01 Jan 26
🕹 Technology AI Product Management Developer Tools Software Productivity Guides
  1. The community grew to over 10,000 subscribers and added paid subscriptions, showing strong reader support.
  2. A large library of practical AI and product management resources was published, including a 10-part Ultimate AI Guide and 101 guides for Perplexity, Claude, and ChatGPT to help PMs use AI effectively.
  3. New products and hands-on experiments were launched—GetPrompts and ProductGPT led the way, with Vibe Coding deep dives and AI browser workflow testing making real-world AI tools easier to adopt.

The Sequence Radar #559 : Two Remarkable Papers This Week: Self-Improving Agents and the Limits of LLM Memorization

TheSequence • 56 implied HN points • 08 Jun 25
🕹 Technology AI Research Development Innovation Models
  1. The Darwin Gödel Machine is a new AI system that can improve itself by changing its own code, leading to better performance in coding tasks. This approach mimics evolution by letting different versions of the AI compete and innovate.
  2. A recent study found that large language models have a limited capacity for memorizing information, roughly 3.6 bits per parameter. This helps us understand how these models learn and remember data.
  3. Both papers highlight how AI can evolve and learn, with one focusing on self-improvement and the other on what models can and cannot remember. Together, they show the potential and limits of AI development.

5 Easy Tips for Writing Cleaner Code [Technique Tuesdays]

Technology Made Simple • 119 implied HN points • 11 Jan 23
🕹 Technology Coding Software Engineering Clean Code Tips
  1. Clean code is essential for software engineering success, especially in large companies where code reviews play a crucial role in promotions.
  2. Using pure functions, named parameters, and meaningful variable names are key techniques to ensure cleaner code.
  3. Avoid hard-coding values and utilize default values to improve code readability, maintainability, and reduce complexity.

The midwit home

DYNOMIGHT INTERNET NEWSLETTER • 416 HN points • 12 Oct 23
🕹 Technology Sensors Automation
  1. Smart homes can be complicated and require a lot of technical knowledge to set up and maintain.
  2. Simple, midwit solutions like remote-controlled outlets, motion-sensing bulbs, and mechanical outlet timers can make daily tasks easier and more convenient.
  3. Using basic power control for devices can offer a surprisingly effective and user-friendly home automation experience.

Choosing a Data Catalog

Sarah's Newsletter • 279 implied HN points • 03 May 22
🕹 Technology Open Source Outsourcing
  1. In startup culture, collaboration comes naturally, but as organizations grow, maintaining data documentation becomes challenging. Having a centralized data catalog tool is crucial for larger organizations to speak the same language and avoid miscommunications.
  2. Documentation in analytics should enable quick access and understanding of data assets, reducing time spent searching for information and improving decision-making. It goes beyond just listing items and involves data discovery and enablement.
  3. Consider different types of data catalog tools based on your organization's size, budget, and specific needs. Choose tools based on factors like security, collaboration features, integrations with existing data tools, and the level of support required.

Hallucinations Are Fine, Actually

Artificial Ignorance • 92 implied HN points • 04 Mar 25
🕹 Technology AI Machine Learning Software Development Data science Automation
  1. AI models can often make mistakes or 'hallucinate' by providing wrong information confidently. It's important for humans to check AI output especially for important tasks.
  2. Even though AI hallucinations are a challenge, they're seen as something we can work to improve rather than an insurmountable problem.
  3. Instead of aiming for AI to do everything on its own, we should use it as a tool to help us do our jobs better, understanding that we need to collaborate with it.

The Risk of RISC-V: What's Going on at SiFive?

More Than Moore • 405 HN points • 24 Oct 23
🕹 Technology Semiconductor RISC-V Funding
  1. RISC-V is a royalty-free alternative for core architectures with high adoption in low-end core space.
  2. SiFive, a major player in RISC-V, has experienced significant layoffs and a shift towards focusing on custom cores.
  3. There is speculation around SiFive's investor funding situation, but the company has clarified that they are well-funded and continuing to enhance their product roadmap.

MistralAI Reveals the Mystery

Sector 6 | The Newsletter of AIM • 59 implied HN points • 13 Dec 23
🕹 Technology AI Startups Software Data science Machine Learning
  1. MistralAI has launched a new model called Mixtral 8x7B that is faster and more efficient than competitors like Llama 2 70B. It can provide great performance while being cost-effective.
  2. Mixtral can handle a lot of information at once, processing up to 32,000 tokens and supporting multiple languages such as English, French, and German.
  3. This model also shows strong abilities in generating code and can be fine-tuned to follow instructions well, which is helpful for various applications.

Console #178 - Top open source projects of this week

Console • 413 implied HN points • 08 Oct 23
🕹 Technology Open Source AI Cloud Dev Tools
  1. Top open source projects featured in Console #178 this week include Clickvote, gpt-pilot, and Kestra.
  2. Projects cover a range of languages like TypeScript, Python, and Java, offering various functionalities from upvotes to workflow orchestrating.
  3. The projects highlighted have a significant number of stars and recent commits, showcasing ongoing development and community interest.

The Case For Small Language Models

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 13 Feb 24
🕹 Technology AI Models Conversational AI Natural Language Processing Machine Learning Software Development
  1. Small Language Models (SLMs) can do many tasks without the complexity of Large Language Models (LLMs). They are simpler to manage and can be a better fit for common uses like chatbots.
  2. SLMs like Microsoft's Phi-2 are cost-effective and can handle conversational tasks well, making them ideal for applications that don't need the full power of larger models.
  3. Running an SLM locally helps avoid challenges like slow response times, privacy issues, and high costs associated with using LLMs through APIs.

The Way Of Model-Agnostic Machine Learning

Mindful Modeler • 139 implied HN points • 21 Feb 23
🕹 Technology Machine Learning Interpretation API
  1. Choosing the best model based on performance is crucial in machine learning, even if personal preferences may influence model selection.
  2. Embracing model-agnostic machine learning involves using software that enables flexible model choices, maintaining consistent APIs across models, and prioritizing model-agnostic interpretation methods.
  3. Real-world constraints and preferences often lead to model-specific approaches, but advancements in interpretation methods, uncertainty quantification, and technology are making model-agnostic modeling more feasible.

Avoiding the demise of intention

Alberto Cairo's The Art of Insight • 1 HN point • 09 Sep 24
🕹 Technology Artificial Intelligence Data Visualization Ethics Philosophy
  1. Generative A.I. can create content, but it often lacks the personal touch and intention that human creators bring. It's important for creators to maintain a hands-on approach in their work.
  2. Using software and A.I. tools should enhance creativity, not replace the unique input of individuals. Always customize and refine automated outputs to keep them personal.
  3. A.I. may lower our expectations for creativity and meaningful content, which can be dehumanizing. It's essential to consider how we want to engage with technology in our creative processes.

Will Robot Girlfriends Save Humanity, or Just Speed Up The Collapse?

OK Doomer • 114 implied HN points • 12 Jan 25
🕹 Technology AI Robotics Loneliness Society Relationships
  1. A lot of people, including some men, are seriously considering having romantic relationships with AI and robot girlfriends. This shows how lonely and disconnected people are feeling today.
  2. Tech companies are seeing a huge rise in interest and money making potential from AI girlfriends, pointing to a bigger issue of loneliness in society. People crave connection, but often look for it in tech instead of with real relationships.
  3. The overall trend suggests a shift where people might prefer comfort from technology over real human connections, which could lead to bigger problems in society as our relationships with each other weaken.

The Sequence Radar #544: The Amazing DeepMind's AlphaEvolve

TheSequence • 63 implied HN points • 18 May 25
🕹 Technology AI Machine Learning Computing Research Innovation
  1. AlphaEvolve is a new AI model from DeepMind that helps discover new algorithms by combining language models with evolutionary techniques. This allows it to create and improve entire codebases instead of just single functions.
  2. One of its big achievements is finding a faster way to multiply certain types of matrices, which has been a problem for over 50 years. It shows how AI can not only generate code but also make important mathematical discoveries.
  3. AlphaEvolve is also useful in real-world applications, like optimizing Google's systems, proving it's not just good in theory but has practical benefits that improve efficiency and performance.

We Need Efficient and Transparent Language Models

Gradient Flow • 179 implied HN points • 01 Dec 22
🕹 Technology NLP Machine Learning Data Tools AI Reinforcement Learning
  1. Efficient and Transparent Language Models are needed in the field of Natural Language Processing for better understanding and improved performance.
  2. Selecting the right table format is crucial when migrating to a modern data warehouse or data lakehouse.
  3. DeepMind's work on controlling commercial HVAC facilities using reinforcement learning resulted in significant energy savings.

Data at Depth 12: Surging Substack, Creative Reflections, Streamlit GIS Tutorial

Data at Depth • 19 implied HN points • 02 May 24
🕹 Technology Data Analytics Content creation Programming Data Visualization Machine Learning
  1. Documenting analytics platform performance can reveal growth trends and areas needing more attention, like focusing on Substack engagement.
  2. Balancing intrinsic and extrinsic motivation in creativity can impact the quality and longevity of content creation, pushing creators towards enduring satisfaction.
  3. Utilizing AI like GPT-4 for filtering and mapping GIS data in Python with tools like Streamlit can streamline complex data visualization tasks, enhancing efficiency and interactivity.

Really good AI would make economic management much easier (Wonkish)

Philosophy bear • 107 implied HN points • 27 Jan 25
🕹 Technology AI Economics Regulation Labor Market
  1. Good AI could help manage the economy by making it easier to fix problems like monopolies or pollution. This means we could better control and regulate businesses to benefit everyone.
  2. If AI can do many jobs humans do now, it could save a lot of money on regulatory costs. This would make it easier for governments and companies to comply with rules and regulations.
  3. With better data and smarter tools, we could understand the costs and benefits of economic actions more clearly. This would help in making better decisions about taxes, regulations, and contracts.

Vol. 1, Issue 37 - Pokémon games as a service is bad news

Johto Times • 79 implied HN points • 19 Oct 23
🕹 Technology Video Games Digital Media Consumer Rights Entertainment
  1. Making Pokémon games available through a service like Nintendo Switch Online can limit players' control over what they can play. If the service ends or costs increase, access to these games could disappear.
  2. Unlike owning a game outright, subscribing to a service means you only have access while paying. This can feel risky when it comes to classic games that many fans have loved for years.
  3. Nintendo has a history of not making games available across its different consoles. Many older Pokémon titles are hard to access now, making it frustrating for fans who want to play their favorites.

Dive into UpYouth Vault

Binh’s Archive • 39 implied HN points • 12 Feb 24
🕹 Technology AI Chatbot Knowledge Management Machine Learning Programming
  1. UpYouth Vault is a knowledge management system at UpYouth accessed through a chatbot called Bob on Telegram.
  2. At UpYouth, there was a need for a system like UpYouth Vault to prevent valuable knowledge from getting lost in group chats.
  3. Bob, the chatbot, supports features like semantic search and Retrieval Augmented Generation to enhance user experience.

No RSS Feed? No Problem. Using Claude Sync, Claude Projects and GitHub Copilot Workspace to automate everything

Olshansky's Newsletter • 114 implied HN points • 08 Jan 25
🕹 Technology AI Tools Software Development Automation Open Source Productivity
  1. Missing RSS feeds can be a hassle, but there are tools available to create them easily for any blog. Using platforms like Claude Projects and GitHub Copilot, people can automate the feed generation process.
  2. Using AI tools like Claude and GitHub Copilot can make daily tasks more efficient. They help simplify coding tasks and can significantly boost team productivity.
  3. By building custom RSS feed generators, developers can keep track of content from blogs that don’t offer subscription options. This means staying updated on favorite blogs is still possible, even without traditional feeds.

Testing a book's code, part 6: Testing a Django project

Mostly Python • 314 implied HN points • 15 Feb 24
🕹 Technology Programming Software Testing Web Development
  1. Testing a Django project in a book involves creating a copy of the project, setting up a separate virtual environment, and ensuring it functions correctly on new Django versions.
  2. When testing a Django project, focus is usually on internal code, but the priority here is verifying functionality on new Django versions due to its frequent updates.
  3. The post discusses developing a single test function for a Django project named Learning Log, emphasizing the importance of testing project functionality as intended.

MCU land, part 8: DMA bit-vending machines

lcamtuf’s thing • 612 implied HN points • 03 Mar 23
🕹 Technology Microcontrollers
  1. DMA controllers on microcontrollers like Cortex-M7 allow for memory transfers without CPU involvement.
  2. Building a "bit-vending machine" with DMA can streamline communication protocols for displays or other devices.
  3. Using DMA with hardware sync signals like PIODCCLK or PWM can enable precise, fast data transfers in digital circuits.

Why sprints are taking the joy out of building software

Leading Developers • 147 implied HN points • 29 Oct 24
🕹 Technology Software Development Agile Methodology Product Management Team Dynamics Engineering Practices
  1. Sprints can make software development feel rushed and stressful. Teams often end up prioritizing completing tasks over enjoying the process of creating.
  2. Agile isn't just about following the sprint process; it's more about flexibility and responding to change. Focusing too much on the sprint leads to sticking to the rules instead of adapting to needs.
  3. Instead of traditional sprints, teams might benefit from cycles where they take their time, release when ready, and allow some room for creativity and quality work. This can create a more enjoyable work environment.

How Crowdstrike fails

Frankly Speaking • 305 implied HN points • 15 Feb 24
🕹 Technology Cybersecurity Companies Cloud Acquisitions Challenges
  1. Crowdstrike initially succeeded by focusing on incident response, not just products, which differentiated them from competitors like Symantec.
  2. The company's expansion into adjacencies and acquisitions, like PAM and logging, is an effort to move from endpoint protection to a broader platform play for sustained growth.
  3. Crowdstrike may face challenges if they don't adapt successfully to selling to DevOps, security engineers, and managing acquisitions, risking plateauing growth and loss of market interest.

AI Storytelling: Aesthetic and Minimalist Design (Usability Heuristic 8)

Jakob Nielsen on UX • 36 implied HN points • 07 Aug 25
🕹 Technology UX Design AI Tools Storytelling Usability Human factors
  1. Storytelling helps people remember information better than just facts. Our brains were built to process stories, so they're more persuasive and engaging.
  2. Using stories reduces the mental effort required to understand data. Instead of processing raw numbers, stories provide a structured way to think about information.
  3. Narrative formats create a more immersive experience. When people can relate to a story, they're more likely to connect with the information and remember it longer.