The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Top Links 805 AI's mega-scale. The Diderot effect and China's Southeast Asian mega projects.

Chartbook • 472 implied HN points • 20 Jul 25
🕹 Technology AI Energy Economics Infrastructure Globalization
  1. AI is growing rapidly and needs a lot of energy to operate effectively. It's important to consider the environmental impact of this technology.
  2. The Diderot effect shows how buying one new thing can lead to wanting more things, which can influence consumer behavior.
  3. China is investing heavily in large projects in Southeast Asia, which could change the region's economy and infrastructure significantly.

"Why? Because the thread count was too low, you idiot."

Sucks to Suck • 1002 implied HN points • 09 Jul 23
🕹 Technology Software Design Social Platforms Algorithm Competition
  1. The rise of new social media platforms like Threads could challenge existing giants like Twitter.
  2. The shift towards subscription revenue models might be essential for social media platforms like Twitter.
  3. Consumers are seeking stability and calm in online platforms, which could impact the future dynamics of social media.

I Suffer From Platform Fatigue and I Bet You Do Too (Without Knowing It)

Kristina God's Online Writing Club • 999 implied HN points • 27 Aug 23
🕹 Technology Social media Platforms User Experience Trends Digital Culture
  1. Many people feel overwhelmed by constant changes and new social media platforms. It's tiring to keep up with what each one offers.
  2. Users experience a sense of loss when platforms change or delete their content. This frustration adds to the fatigue of using these platforms.
  3. The rapid evolution of social media can lead to confusion and a feeling of disconnect. It can be hard to find a platform that meets your needs consistently.

AMD's AI Future is Rack Scale 'Helios'

More Than Moore • 630 implied HN points • 12 Jun 25
🕹 Technology AI hardware Software Development
  1. AMD has launched the new MI350 series of GPUs, which are designed to greatly improve AI performance, offering up to double the speed compared to the previous models.
  2. They have also introduced ROCm 7, a software update that focuses on better support for AI applications, making it easier for developers to use AMD hardware.
  3. AMD is planning for a significant shift toward rack-scale AI systems, with new products and roadmaps that aim to increase energy efficiency and performance by 2030.
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AI #105: Hey There Alexa

Don't Worry About the Vase • 1120 implied HN points • 27 Feb 25
🕹 Technology AI Machine Learning Automation Robotics Data science
  1. A new version of Alexa, called Alexa+, is coming soon. It will be much smarter and can help with more tasks than before.
  2. AI tools can help improve coding and other work tasks, giving users more productivity but not always guaranteeing quality.
  3. There's a lot of excitement about how AI is changing jobs and tasks, but it also raises concerns about safety and job replacement.

Scribble-based forecasting and AI 2027

DYNOMIGHT INTERNET NEWSLETTER • 562 implied HN points • 30 Jun 25
🕹 Technology AI Forecasting Data Analysis Machine Learning Simulation
  1. Both math and intuition can be used for forecasting, but they serve different purposes. Sometimes, using intuition can be more practical when creating predictions about complex situations.
  2. Math-based forecasts are best when the rules of a situation are well understood and complex. For simpler scenarios, basic predictions may be just as effective.
  3. Creating simple visual predictions, like drawing lines, can help clarify your thoughts. It's a great exercise to explore different potential outcomes and express predictions clearly.

Palo Alto Networks Acquiring CyberArk: Offense or Defense?

Frankly Speaking • 406 implied HN points • 05 Aug 25
🕹 Technology Cybersecurity Mergers Software Growth Identity
  1. Palo Alto Networks is acquiring CyberArk to strengthen its position in identity security. Identity is now a key focus in protecting against cyber threats, which aligns with Palo Alto's strategy.
  2. This acquisition might be a defensive move to stabilize Palo Alto's growth as their previous expansions slow down. Instead of aiming for high-growth markets, they are opting for more stable, recurring revenue streams.
  3. There's potential that this acquisition will help Palo Alto generate cash flow that can be used for future investments in innovative, AI-driven security companies. It could be a stepping stone for bigger moves down the line.

No, Sora has not “learned physics”

Marcus on AI • 3596 implied HN points • 02 Mar 24
🕹 Technology AI Physics Modeling
  1. Sora is not a reliable source for understanding how the world works, as it focuses more on how things look visually.
  2. Sora's videos often depict objects behaving in ways that defy physics or biology, indicating a lack of understanding of physical entities.
  3. The inconsistencies in Sora's videos highlight the difference between image sequence prediction and actual physics, emphasizing that Sora is more about predicting images than modeling real-world objects.

Data Science Weekly - Issue 549

Data Science Weekly Newsletter • 159 implied HN points • 31 May 24
🕹 Technology Data science Artificial Intelligence Machine Learning Data Engineering Cloud Computing Software Development
  1. Mediocre machine learning can be very risky for businesses, as it may lead to significant financial losses. Companies need to ensure their ML products are reliable and efficient.
  2. Understanding logistic regression can be made easier by using predicted probabilities. This approach helps in clearly presenting data analysis results, especially to those who may not be familiar with technical terms.
  3. Data quality management is becoming essential in today's data-driven world. It's important to keep track of how data is tested and monitored to maintain trust and accuracy in business decisions.

📹 Video IA con Pika 1.0

Vincos Newsletter • 550 implied HN points • 20 Jan 24
🕹 Technology AI Tech news Cryptocurrency Software Tools Smartphones
  1. Pika 1.0 is now available with tutorials for creating videos from text, animating images, and editing videos.
  2. Zuckerberg aims to develop AGI and make it open-source, with powerful infrastructure equivalent to 600,000 NVIDIA H100 GPUs.
  3. CES showcased products enhanced with AI, such as Walmart's AI for grocery shopping and Samsung's Galaxy S24 Ultra with new AI capabilities.

My Predictions For 2026

Teaching computers how to talk • 57 implied HN points • 09 Jan 26
🕹 Technology Artificial Intelligence Machine Learning Robotics Ethics Education Media Societal Impact
  1. Generative AI went mainstream in 2025, powering images, video, code and daily tools, but its widespread use has also produced clear harms, controversies, and ethical risks.
  2. Current models are very capable yet lack true understanding and real-world experience; alignment is mostly shallow, so continual learning and richer world models are emerging as crucial next steps.
  3. AI is forcing big social changes—education must reinvent itself because students can use AI to shortcut learning, and people risk emotional dependence on chatbots that can be addictive, so society needs to protect critical thinking and human connection.

What makes a GREAT GitHub Repo README?

The Open Source Expert • 79 implied HN points • 12 Jul 24
🕹 Technology Open Source Software Development Version Control Web Development Coding Practices
  1. A good GitHub README should be informative and engaging. Include key elements like a description, features, and visuals to attract users.
  2. Avoid adding things like a table of contents or large documentation directly in the README. This can overwhelm visitors and is often redundant.
  3. It's essential to get feedback on your README from others, especially new users. Their fresh perspective can help you improve it significantly.

Bridging the Gap: From Statistical Distributions to Machine Learning Loss Functions

Mindful Modeler • 818 implied HN points • 14 Nov 23
🕹 Technology Machine Learning Statistical Analysis Optimization
  1. Understanding the distribution of the target variable is key in choosing statistical analysis or machine learning loss functions.
  2. Certain loss functions in machine learning correspond to maximum likelihood estimation for specific distributions, creating a bridge between statistical modeling and machine learning.
  3. While connecting distributions to loss functions is insightful, the real power in machine learning lies in the flexibility to design custom loss functions rather than being constrained by specific distributions.

The Box — the world's first anti-deepfake wearable

12challenges • 599 implied HN points • 18 Jun 25
🕹 Technology AI Wearables Privacy Digital Culture Satire
  1. The Box is a satirical product designed to highlight the rise of deepfake technology, especially its harmful impact on women. It aims to raise awareness about non-consensual deepfake porn in a creative way.
  2. The creators hope to show how society might respond to the dangers of deepfakes with more technology, instead of addressing the root cause. This reflects a commentary on current tech solutions to serious social issues.
  3. The project represents a shift towards fewer but more in-depth creations, allowing the creators to focus on significant topics that matter. It's also part of a collaborative effort to engage others in addressing these pressing concerns.

App.axie updates are LIVE!

The Lunacian • 460 implied HN points • 29 Jul 25
🕹 Technology Gaming Blockchain Digital Communities User Experience Mobile Apps
  1. The new Axie Score Leaderboard is out, letting players see how their scores compare to others. This helps you understand your influence in the community.
  2. App.axie got cool updates like new icons for Designations and a better mobile interface for managing your axies. These changes make it easier and more fun to use the app.
  3. There are more options for Axie Hangouts coming soon, including new backgrounds to customize your space. It's exciting to think about all the ways to express your style!

The Arsenal of the Damned

Anarchonomicon • 511 implied HN points • 29 Jan 24
🕹 Technology Military Tactics Weapons
  1. Motorcycles offer high maneuverability and speed, but Western governments struggle with their high injury rates.
  2. Using civilian pickups with mounted weapons can provide cost-effective mobility in combat scenarios.
  3. ISIS's successful tactics in Mosul, using pickup trucks for mobility and heavy weapons, led to a quick victory over a larger force.

⤴⤵ Up Wing/Down Wing #32

Faster, Please! • 1279 implied HN points • 25 Jan 25
🕹 Technology AI Development Robotics Genetics Renewable Energy
  1. China has introduced a new AI model, DeepSeek, which could challenge the U.S.'s lead in AI technology. It's created with fewer resources and is making waves in the AI landscape.
  2. The U.S. is launching a major AI project called Stargate, promising to build advanced data centers to enhance tech development. This move aims to keep the U.S. at the forefront of AI innovations.
  3. Researchers are developing robots for farming and pollination that could change agriculture. These robots could help increase crop yields and make farming more sustainable.

Perplexity: la prova del motore IA che vuole insidiare Google

Vincos Newsletter • 569 implied HN points • 13 Jan 24
🕹 Technology Artificial Intelligence Startups Tech news Innovation Gadgets
  1. Perplexity is a startup creating an AI engine to rival Google and ChatGPT, with significant backing and user base.
  2. OpenAI released GPT Store and ChatGPT Team, facing legal challenges around copyright use of articles.
  3. Tech updates include Apple's Vision Pro launch, Rabbit R1 pocket computer, and Getty Images/Nvidia Generative AI platform.

Complex, real-world tasks

In My Tribe • 455 implied HN points • 17 Jul 25
🕹 Technology Artificial Intelligence Robotics Computer Science Automation Social Impact
  1. Computers are getting better at tasks, but we aren't close to them being able to do everything humans can do. Some complex tasks will take a long time to automate.
  2. Many complex tasks, especially those involving physical skills, are still very challenging for machines. Humans excel in manipulating objects while computers struggle with that.
  3. Social challenges are complicated and using computers won't simply solve them. There are always trade-offs to consider when applying tech in real-life situations.

Taijitu of Code & Love: Love is the Yin to the Yang of Tech

Dr. Pippa's Pen & Podcast • 29 implied HN points • 31 Jan 26
🕹 Technology Artificial Intelligence Ethics Human factors Future work Education Social Impact
  1. Love (heartware) is the human counterweight to code: together with AI it creates effective intelligence that centers meaning, empathy, and moral courage.
  2. As automation and abundance reduce the need for paid work, people will need new meaning infrastructures and education focused on creativity, relationships, and inner discovery instead of just skills-for-jobs.
  3. If code runs without love we risk cold optimization and harm, so we must build systems, incentives, and designs that let technology serve human flourishing and individual uniqueness.

Digital Perikles vs. the Odd Roommate: State of the AI on ChatGPT5 Day

Brad DeLong's Grasping Reality • 392 implied HN points • 09 Aug 25
🕹 Technology AI Software Computing Automation Data
  1. AI can be incredibly useful, but it's still very different from human thinking. We need to learn how to recognize its mistakes and make the most of its capabilities.
  2. Talking to AI can be like having an unusual roommate. It may sometimes give strange answers, but with patience, we can learn how to get better results.
  3. It's important to be both curious and critical when using AI. We should explore what it can do while also being aware of its limits.

Resilient Cyber Newsletter #1

Resilient Cyber • 119 implied HN points • 18 Jun 24
🕹 Technology Cybersecurity Artificial Intelligence Software Development Data Privacy Cloud Computing
  1. The SEC's case against SolarWinds could change how Chief Information Security Officers are viewed in the industry, potentially discouraging talented people from taking on these roles.
  2. Organizations need to actively prepare for cyberattacks through tabletop exercises, which can help teams respond better during real security incidents.
  3. Microsoft's cybersecurity issues have raised concerns regarding national security, highlighting the need for stronger security practices and accountability in tech companies.

LangChain Search AI Agent Using GPT-4o-mini

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 59 implied HN points • 25 Jul 24
🕹 Technology AI Software Web Development Machine Learning Open Source
  1. The LangChain Search AI Agent uses a tool called Tavily API to search the web and answer questions. It breaks down complex questions into simpler sub-questions for better results.
  2. The GPT-4o-mini model is designed to be fast and cost-effective, making it suitable for tasks that require quick responses. It supports both text and vision inputs, expanding its usability.
  3. Using LangSmith, you can track the execution and costs of each step in processing queries. This feature helps in optimizing the performance of the AI agent.

Attracted To The Desert (Or The Forest)

Software Design: Tidy First? • 1634 implied HN points • 12 Nov 24
🕹 Technology Software Design Development Practices Optimization Collaboration
  1. Software development has different styles that often lead to similar outcomes, guided by underlying trends called attractors. These attractors influence how teams change over time, pulling them towards certain approaches.
  2. It’s not just about adding more value in software projects. Instead, the focus should be on removing waste and improving efficiency in how teams work together.
  3. The environment where a team operates, whether it's a productive forest or a limiting desert, greatly affects their potential for growth. The forest offers more opportunities for improvement than the desert.

How AI Will Be Used for Cyber Security in 2024

Rod’s Blog • 615 implied HN points • 29 Dec 23
🕹 Technology AI Cyber Security Machine Learning Data Protection
  1. Cyber security is crucial in today's digital era due to increasing complexity of attacks, making traditional defense methods inadequate.
  2. Artificial intelligence (AI) is becoming essential in fighting cyber threats by mimicking human intelligence in tasks like learning and decision-making.
  3. In 2024, AI will play a vital role in cyber security, aiding in threat detection, prevention, response, and recovery.

Inference is FREE and INSTANT

Source Code by Fume • 22 HN points • 26 Aug 24
🕹 Technology AI Software Computing Data Innovation
  1. Many people have different views on the future of AI; some believe it will change a lot soon, while others think it won't become much smarter. It's suggested that rather than getting smarter, AI will just get cheaper and faster.
  2. There's a concern that large language models (LLMs) might not be improving in reasoning skills as expected. They have become more affordable over time, but that doesn't necessarily mean they are getting better at complex tasks.
  3. The Chinese Room Argument highlights that AI can follow instructions without understanding. Even if AI tools become faster, they might still lack the creativity to generate unique ideas, but they can still help with routine tasks.

7 perspectives on machine learning

Mindful Modeler • 279 implied HN points • 09 Apr 24
🕹 Technology Machine Learning Data interpretation Automation Optimization Computing
  1. Machine learning is about building prediction models. It covers a wide range of applications, but may not be perfect for unsupervised learning.
  2. Machine learning is about learning patterns from data. This view is useful for understanding ML projects beyond just prediction.
  3. Machine learning is automated decision-making at scale. It emphasizes the purpose of prediction, which is to facilitate decision-making.

The new threat model for AI

Frankly Speaking • 457 implied HN points • 16 Jul 25
🕹 Technology AI Security Cybersecurity Data Protection Risk management
  1. With AI, the focus should shift from just stopping data theft to preventing manipulation. Instead of an attacker trying to steal information, they might want to influence decisions made by an AI system without being noticed.
  2. Security teams need to change their approach to monitoring. It's not enough to just track who accesses data; they should also keep an eye on how AI outputs are influenced by their inputs and the intent behind actions.
  3. As AI becomes integrated into systems, there will be a need for better prevention strategies, like robust logging and identifying who did what. This proactive approach will help maintain trust in AI decisions.

Don't Push AI Down Our Throats

Experiments with NLP and GPT-3 • 122 implied HN points • 30 Nov 25
🕹 Technology AI Software Innovation Industry Consumer Tech
  1. AI should not be forced upon us; it feels overwhelming and unwanted. Technology should be introduced slowly and thoughtfully.
  2. The rush to deploy AI is driven by profit motives, not by what users really need. We should only adopt AI that provides real benefits to our lives.
  3. There are many useful applications of AI, but we should focus on what works for us and not feel pressured by companies to use AI just for their financial gain.

What Are Non-Human Identities and Why Do They Matter?

Resilient Cyber • 159 implied HN points • 28 May 24
🕹 Technology Cybersecurity Identity Management Cloud Computing Data Breaches Software Development
  1. Non-Human Identities (NHIs) are the machine-based accounts used in businesses, often outnumbering human accounts significantly. They include things like service accounts and API keys, which are essential for modern tech operations.
  2. NHIs are a major security risk since they can have lots of permissions and are often left unmonitored. This makes them a target for hackers looking to exploit weak points in security systems.
  3. It’s important for companies to have strong governance around NHIs. Without proper controls, these machine identities can lead to security gaps and make it easier for attackers to gain access to systems.

Vote for the November 2025 + Post Topic

Computer Ads from the Past • 128 implied HN points • 22 Nov 25
🕹 Technology Retro Computing Hardware Advertising Magazines Tech Culture
  1. Vote on the topic for this month’s paid post; the poll is open for one week so act soon.
  2. The newsletter is running behind schedule, and last month’s paid post is expected to be published in a few days.
  3. The topic options are illustrated with vintage magazine images, and readers can continue reading for free or subscribe for paid access.

DeepSeek Is a Wake-Up Call. Is America Listening?

Common Sense with Bari Weiss • 1219 implied HN points • 28 Jan 25
🕹 Technology AI Startups Innovation Market Trends Competition
  1. DeepSeek, a small Chinese company, has created powerful AI models for much less money than American companies, challenging the idea that the U.S. leads in technology. This means other countries can compete more easily in AI.
  2. The surprising success of DeepSeek caused significant drops in the stock prices of major tech companies, showing how big of an impact one smaller player can have on the market.
  3. DeepSeek's technology is accessible for anyone with limited resources, which could change the future of AI development and create potential instability in the tech landscape.

My Definition of Data Modeling (for today)

Joe Reis • 530 implied HN points • 20 Jan 24
🕹 Technology Data Modeling AI Venture Capital Data Management
  1. Data modeling has various definitions by different experts and serves to improve communication, provide utility, and solve problems.
  2. A data model is a structured representation that organizes data for both humans and machines to inform decision-making and facilitate actions.
  3. Data modeling is evolving to consider the needs of machines, different use cases, and a wider range of modeling approaches for various situations.

What Meta’s diffs per developer metric revealed about engineering at scale

Dev Interrupted • 42 implied HN points • 15 Jan 26
🕹 Technology Software Engineering Management DevOps Productivity Leadership Organizational Behavior
  1. Single-number productivity metrics (like diffs per developer) can stop reflecting real work when codebases, teams, and constraints grow, because a small change today can be a much heavier unit than it was before.
  2. When a metric becomes a target, people naturally optimize the metric instead of value, favoring safe, visible motion over hard, high-leverage work.
  3. Leaders should treat simple metrics as clues not verdicts: investigate flow, risk, and impact, and change what you measure and reward so teams focus on real product and business outcomes.

AI Is A Car That Everyone Expects To Be A Spaceship

Beekey’s Substack • 59 implied HN points • 24 Jul 24
🕹 Technology AI Machine Learning Data science Automation Software Development
  1. AI has made great improvements, especially with tasks that involve generating human-like responses and art. However, many people are getting carried away with the hype about its capabilities.
  2. Machine learning allows AI to recognize patterns in data, but it doesn't actually understand content like a human does. This means it can make mistakes that a human wouldn't.
  3. The idea of creating Artificial General Intelligence (AGI) from current AI is questionable because we still don't fully understand how human intelligence works. It's not just about being faster; something fundamental is still missing.

Moving On

Software Design: Tidy First? • 1281 implied HN points • 10 Jan 25
🕹 Technology Software Design Innovation Development Experiments
  1. It's important to recognize when to move on from a project that isn't working. You don't have to stick with something just because you've already invested time or resources into it.
  2. Balancing between believing in your ideas and treating them as experiments is key. If something isn't getting good feedback, it's okay to change direction and try something new.
  3. Using timeboxing can help you make better decisions about projects. Setting a time limit lets you step back and reconsider if it's worth continuing or if you should explore other options.