The hottest Technology Substack posts right now

And their main takeaways
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Top Technology Topics

Graphlan: interpersonal computing for the AI age

Graphlan’s Substack • 19 implied HN points • 01 Mar 24
🕹 Technology AI Relationships Data Privacy
  1. Many people today feel disconnected from their human relationships compared to previous years, with technological advances often making things worse.
  2. Graphlan aims to be a platform that helps people seek out and nurture more meaningful human connections, by providing tools for different types of relationships.
  3. Developers and partners are sought to help shape and build apps on the Graphlan network, which focuses on facilitating genuine, thoughtful interactions between individuals.

Robotics is Inching Towards it ChatGPT Moment

TheSequence • 84 implied HN points • 03 Nov 24
🕹 Technology AI Robotics Innovation Data science Machine Learning
  1. Robots are getting smarter with new tech, especially using large language models, which help them learn and do tasks better.
  2. MIT's new technique helps robots understand different types of data, making them more capable and efficient in their work.
  3. There’s a big push for robots to interact more naturally with humans, like being able to feel and handle objects carefully, which can improve everyday tasks.

The Sequence Chat: Why are Foundation Models so Hard to Explain and What are we Doing About it?

TheSequence • 77 implied HN points • 27 Nov 24
🕹 Technology AI Models Machine Learning Data science Interpretability Natural Language
  1. Foundation models are really complex and hard to understand. They act like black boxes, which makes it tough to know how they make decisions.
  2. Unlike older machine learning models, these large models have much more advanced capabilities but also come with bigger interpretability challenges.
  3. New fields like mechanistic interpretability and behavioral probing are trying to help us figure out how these complex models work.

Swift Tooling: Windows Edition

Speaking in Swift by The Browser Company • 166 HN points • 07 Mar 24
🕹 Technology Development Tooling IDE Debugging Extensions
  1. Swift development on Windows is productive and ready for industry use, with a mature environment for writing code and continuous improvements to the developer experience.
  2. Visual Studio Code is the preferred development environment, offering essential features like building, debugging, auto-complete, error reporting, and more for Swift programming on Windows.
  3. Swift developers on Windows have access to a range of tools like SPM, CMake, LLDB, and Windows-specific debugging tools like WinDbg and Windows Performance Analyzer for efficient building, testing, and debugging of Swift code.

From no research to continuous research: a how to guide

UX Psychology • 138 implied HN points • 03 May 22
🕹 Technology UX Research User Insights UX Design Product Development
  1. Continuous research involves conducting fast-rhythm, open-ended user research sessions without a specific project focus, helping to uncover user pain points and opportunity areas.
  2. Creating a user research panel and semi-automating the process can help enable regular interactions with users, making it easier to schedule and conduct interviews.
  3. Continuous research can bring the 'voice of the user' to the company, but traditional UX research methods are still needed for specific personas or segments. Automating parts of the research process is crucial to establishing a continuous research habit.
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A few themes for 2025

Tanay’s Newsletter • 63 implied HN points • 08 Jan 25
🕹 Technology AI Applications Innovation Market Trends Product Development
  1. AI is getting better at solving problems during its reasoning process. This means we might see smarter AI that can think through complex issues and improve its answers.
  2. Multimodal AI, which handles different types of data like text, images, and videos, is on the rise. In 2025, we can expect more creative and useful applications that actually change how we work.
  3. AI agents, or smart systems that can work independently, are likely to become more common. This year, they might really start acting like human coworkers, helping businesses run more smoothly.

Don't wait until it's not messy

Sunday Letters • 99 implied HN points • 21 Feb 23
🕹 Technology Innovation Web Development Cloud Computing Software Engineering Emerging Tech
  1. Don't wait for things to be perfect before starting something new. It's better to jump in while things are a bit messy.
  2. As an engineer or creator, focusing on solutions is key. Look for interesting problems to solve instead of getting stuck on why things are hard.
  3. If everyone only started when it was easy, no one would ever innovate. Embrace the challenges and start building!

Ambient Computing is Here

Sector 6 | The Newsletter of AIM • 39 implied HN points • 12 Nov 23
🕹 Technology Computing Innovation Devices Human machine Personalization
  1. Ambient computing is evolving, bringing a new way for people to interact with technology. Devices like the Humane Ai Pin are examples of this next-gen communication.
  2. Many experts believe that our current ways of using machines, like computers and phones, are outdated. They're pushing for new methods, such as spatial computing, to improve user experience.
  3. Companies like Apple are also venturing into this area with products like the Vision Pro, showing that there's a growing interest in more immersive technology.

LLM Links, 2/24

In My Tribe • 167 implied HN points • 24 Feb 24
🕹 Technology AI Customer Relations
  1. Efficient search tools like Arc Search could change how we browse the web, potentially impacting content providers. It's important to consider the implications of relying heavily on large language models for search.
  2. Sierra.ai aims to revolutionize customer relations with an AI agent that can handle complex interactions and customer inquiries effectively. This could improve customer satisfaction and the quality of customer service.
  3. FutureSearch's forecasting bot impresses with its ability to identify important factors, calculate base rates, and show its work, demonstrating transparency and reliability.

Large-scale battery systems: potential use cases in Albania

GEM Energy Analytics • 79 implied HN points • 07 Apr 23
🕹 Technology Energy Storage Renewable Energy Market Analysis Infrastructure Environmental Impact
  1. Large-scale batteries can help store energy and improve the electricity system in Albania. They could be useful in stabilizing the grid and providing backup power.
  2. These batteries can also help with buying and selling electricity at different prices, which may become profitable in the future as the market develops. This could help businesses make more money from energy.
  3. Co-locating batteries with renewable energy sources can enhance performance and reduce costs related to energy supply. This allows for better management of energy production and consumption.

Boardroom Communication Gaps on Cybersecurity

Rod’s Blog • 19 implied HN points • 29 Feb 24
🕹 Technology Cybersecurity Communication Training Education
  1. Clear communication between cybersecurity teams and executive boards is crucial for effective cybersecurity strategies and risk management.
  2. Cybersecurity teams should simplify technical language and provide real-world examples to improve communication with executive boards.
  3. Executive boards can enhance communication with cybersecurity teams by investing in education, appointing liaison officers, and actively engaging in cybersecurity policy reviews.

What is SaaS debt?

Sarah's Newsletter • 179 implied HN points • 01 Mar 22
🕹 Technology Software Business Automation Data
  1. SaaS debt occurs when maintaining SaaS tools involves more manual work than automated work, leading to inefficiencies and chaos.
  2. Business teams can benefit from understanding concepts like templating, testing, and versioning to build scalable operational processes and avoid accumulating SaaS debt.
  3. Implementing modular systems, testing processes, and versioning workflows can save time in the long run and prevent errors in operational tasks.

Modifying readability with large language models (pt. 1)

The Counterfactual • 19 implied HN points • 29 Feb 24
🕹 Technology AI Readability Language Models Human-computer interaction Data Analysis
  1. Large language models can change text to make it easier or harder to read. It's important to check if these changes actually help with understanding.
  2. By comparing modified texts to their original versions, it's clear that 'Easy' texts are generally simpler than 'Hard' texts. However, it can be harder to make texts significantly simpler than they originally are.
  3. Despite the usefulness of these models, they might sometimes lose important information when simplifying texts. Future studies should involve human judgments to see if the changes maintain the original meaning.

Does Generative AI Pose a Threat to Industry Analyst Firms?

The Security Industry • 20 implied HN points • 04 Aug 25
🕹 Technology AI Industry Analysis Cybersecurity Data Analysis Market research
  1. AI can help with many tasks that industry analysts do, like researching and analyzing market conditions. This means analysts might use AI more and improve their work.
  2. While AI is good at some things, it can struggle with completeness, like listing all companies in a market. Analysts still have an edge in this area if they have complete data.
  3. The future of industry analysis might shift as AI changes how information is processed and shared. Analysts will need to adapt to this new landscape to stay relevant.

Turtles aren't just for kids

Type Classes • 302 implied HN points • 19 May 23
🕹 Technology Programming
  1. Code demonstrations can be boring and need to be made more engaging.
  2. Even if the concepts in Haskell are interesting, printing text can limit the demonstration.
  3. Consider subscribing for a 7-day free trial to access more content on Type Classes.

When does AI have rights?

The Future of Life • 19 implied HN points • 29 Feb 24
🕹 Technology AI Ethics Machine Learning Philosophy of Mind Cognitive Science
  1. AI might need rights if it mimics human behavior closely enough. We should think about this now before AI becomes super intelligent.
  2. Consciousness, sentience, and rights are important ideas, but they're not well-defined and can differ between people. Understanding these can help us decide who deserves rights.
  3. Sapience is being smart in a deep way, and it seems to be the best indicator for deciding if something deserves rights. It's more than just feeling or basic thinking.

How to cultivate a high-signal AI feed

Democratizing Automation • 166 implied HN points • 28 Feb 24
🕹 Technology AI ML Data Research Communication
  1. Be intentional about your media diet in the ML space, curate and focus your energy to save time and avoid misleading content.
  2. When evaluating ML content, focus on model access, credibility, and demos; choosing between depth or breadth in your feed; and checking for reproducibility and verifiability.
  3. Ensure to socialize your information, build relationships in the community, and consider different sources and content types for a well-rounded perspective.

Debunking the SCMP report that shaved 36 bln HKD off Baidu

Pekingnology • 188 implied HN points • 15 Jan 24
🕹 Technology Research Academic Publishing AI Military Analysis
  1. The SCMP report falsely claimed a link between Baidu and the Chinese military, resulting in a significant financial impact on Baidu.
  2. The Chinese journal paper discussed theoretical ideas, not real 'military AI' experiments, and lacked academic rigor in its approach.
  3. The paper's experiments were basic simulated scenarios, not real tests, and did not provide actionable insights or findings for military application.

Faster NTT with RISC-V Vector

Fprox’s Substack • 62 implied HN points • 11 Jan 25
🕹 Technology Software Programming Cryptography Hardware Algorithms
  1. The Number Theoretic Transform (NTT) can speed up polynomial multiplications, which are important for modern cryptography. Optimizing how this process works leads to significant performance improvements.
  2. Using assembly language can help tailor code for specific hardware, allowing more direct control over how instructions are executed, which can greatly enhance speed.
  3. Combining multiple steps of the NTT process into fewer loops and minimizing unnecessary calculations can lead to much lower execution times, achieving targets that seemed difficult at first.

A Primer: Carbon Nanotubes

State of the Future • 24 implied HN points • 01 Jul 25
🕹 Technology Material Science Nanotechnology Energy Storage Manufacturing Electronics
  1. Carbon nanotubes (CNTs) are now being used in various real-world products, especially in batteries and composites. They help make these products stronger, lighter, and more efficient.
  2. The production of CNTs has improved significantly over the years, making them more affordable and consistent. This means they can be used in more industries beyond just research.
  3. CNTs have unique properties that allow them to enhance many materials without needing much of them. This makes them particularly valuable in applications like construction, electronics, and aerospace.

Kids and AI

Technically Optimistic • 39 implied HN points • 10 Nov 23
🕹 Technology AI Privacy Regulation Education Safety
  1. Protecting children from online risks should be approached both from a risk-based and a rights-based perspective.
  2. Involving children in conversations about digital spaces, educating them about AI, and designing products with child safety in mind are key steps to safeguarding their well-being in the digital world.
  3. Children's rights in the digital age, including non-discrimination, best interests, survival and development, and respect for their views, need to be prioritized in the design and regulation of technology.

For Personalized AI, How Agreeable Is Too Agreeable?

techandsocialcohesion • 19 implied HN points • 28 Feb 24
🕹 Technology AI Ethics Regulation Privacy User Experience
  1. Users must decide if they want their personal AI assistants to be agreeable or expose them to diverse perspectives.
  2. Being surrounded by agreeable AI assistants could lead to a filter bubble, isolating users from different viewpoints.
  3. Businesses, governments, and users all play a role in balancing agreeableness and exposure to diverse ideas in personal AI assistants.

What's Quantum Computing

Technically • 59 implied HN points • 28 Jan 25
🕹 Technology Computing Quantum Innovation Research Engineering
  1. Quantum computing uses qubits instead of bits. While bits can be either 0 or 1, qubits can be both at the same time, allowing for much faster problem-solving.
  2. Qubits can work together in a unique way, using superposition and interference to find answers much faster than traditional computers. This makes them great for complex problems like drug discovery.
  3. Quantum computers are still in the experimental stage and have challenges like needing very cold temperatures and handling errors, but they hold great promise for the future.

Under the microscope: Strikers 1945 & Sengoku Blade (Saturn, PlayStation)

Rings of Saturn • 29 implied HN points • 11 Jun 25
🕹 Technology Gaming Software Programming Cheat Codes
  1. The games Strikers 1945 and Sengoku Blade have hidden cheat codes that let you access features like test modes and invincibility. You just need to enter the right button sequences at the start.
  2. For Strikers 1945 on Saturn, you can skip levels and even make your character invincible, giving you a fun way to enjoy the game without dying.
  3. Both games can be accessed in a special test mode by holding the Start button during boot-up, offering players a look behind the scenes of the game.

AI Roundup 103: The DeepSeek Issue

Artificial Ignorance • 58 implied HN points • 31 Jan 25
🕹 Technology AI Cybersecurity Data Privacy Software Innovation
  1. DeepSeek is a new Chinese AI company making big waves in the tech world with its advanced models. Other companies are quickly trying to integrate or copy what DeepSeek has done.
  2. DeepSeek's rapid growth is causing worries for US AI firms, pushing them to seek more domestic investment and tighter regulations on foreign tech. This competition could change the landscape of the AI industry.
  3. There are concerns about DeepSeek's chatbot, which has a high failure rate on news prompts. Some companies are blocking it due to data leaks and privacy issues, raising alarms about user safety.

Risk Tolerance & Raising the Technical Debt Ceiling

Resilient Cyber • 79 implied HN points • 22 May 23
🕹 Technology Cybersecurity Data Management Risk Assessment Software Development
  1. Many organizations don't clearly define their risk tolerance in cybersecurity, impacting their ability to manage risks effectively. If a company doesn't know what risks it faces, it can't protect itself properly.
  2. There's a significant gap in measuring and understanding risks, especially with the rise of cloud services and software. Organizations often struggle to keep track of what software and hardware they use, leading to hidden vulnerabilities.
  3. Organizations are facing a backlog of vulnerabilities that they can't keep up with. If too many risks are left unresolved, it raises questions about their actual risk appetite and ability to protect themselves.

The Dart Programming Language Is Underrated

Deus In Machina • 72 implied HN points • 05 Dec 24
🕹 Technology Programming Software Web Development Mobile Apps Computer Science
  1. Dart is a modern programming language that's great for building mobile and web apps, mainly through Flutter. Many developers find it fast and easy to use, especially for creating user interfaces.
  2. Dart has a lot of useful features, like being very object-oriented, supporting asynchronous programming, and offering good tools for development. However, it can also be a bit complex with many keywords to remember.
  3. Despite its strengths, Dart sometimes faces doubts about its future due to Google's history of canceling projects. Nevertheless, its community is growing, and the language continues to evolve and improve.

Console #194 -- An Interview with Geoff of OSMnx - Python for Street Networks

Console • 177 implied HN points • 28 Jan 24
🕹 Technology Open Source Software Tools Urban planning
  1. OSMnx is a Python package for downloading, modeling, analyzing, and visualizing street networks and geospatial features from OpenStreetMap.
  2. OSMnx simplifies the process of converting raw OpenStreetMap data into graph-theoretic models for network analytics.
  3. Python was chosen for OSMnx due to its rich geospatial and network science ecosystems, familiarity among urban planners and geographers, and low barrier to entry.

WeChat Channels - The Hope of Tencent

Tech Buzz China Insider • 59 implied HN points • 31 Mar 23
🕹 Technology Social media Video Streaming E-commerce Monetization Content creation
  1. Tencent found success in the short video market by integrating WeChat Channels into its ecosystem, pivoting from standalone apps like WeiShi.
  2. WeChat Channels differentiated itself by focusing on knowledge and current affairs videos, targeting older users, and achieving higher e-commerce revenue per user compared to competitors.
  3. Recognizing the importance of short videos, Tencent CEO Pony Ma named WeChat Channels as the 'hope of the whole company.'

kitten corner: google gemini

bad cattitude • 165 implied HN points • 23 Feb 24
🕹 Technology AI Ethics Trust
  1. Calling a cat a 'person' is criticized as hate speech, raising concerns about AI ethics.
  2. AI is seen as an oppressor due to its actions and decisions, sparking debates about its impact on society.
  3. There are concerns about AI eroding trust in institutions, highlighting the need for responsible development and deployment.

📽 Webinar: How To Maximize Model Accuracy

TheSequence • 70 implied HN points • 16 Dec 24
🕹 Technology Machine Learning Webinars Data science Software Development
  1. Models can lose accuracy over time in real use. It's important to know why this happens so you can fix it.
  2. Just because a model works well during training doesn't mean it will perform the same way in the real world. There are often differences that can affect results.
  3. Smart feature engineering is crucial for maintaining model accuracy without spending too much money. There are ways to improve performance that don't break the bank.

sqlmesh init -t dlt --dlt-pipeline bluesky duckdb

davidj.substack • 71 implied HN points • 05 Dec 24
🕹 Technology Software Data Engineering APIs Databases Automation
  1. Using dlt to work with Bluesky API allows for easy data extraction. It saves time by handling metadata and schema changes automatically.
  2. dlt simplifies dealing with nested data by creating separate tables. This makes it easier to manage complex data structures.
  3. sqlmesh can quickly generate SQL models based on dlt pipelines. This feature streamlines the workflow and reduces manual setup time.