The hottest Technology Substack posts right now

And their main takeaways
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Top Technology Topics

Introducing the Axie Adoption Centre!

The Lunacian • 828 implied HN points • 04 Dec 24
🕹 Technology Gaming Blockchain Digital economy
  1. The Axie Adoption Center is a new, easy way for new players to join Axie Infinity. They can get started by connecting a wallet, receiving axies, and completing missions to earn rewards.
  2. Players can refer friends to the Adoption Center and earn rewards like AXS for helping others get started. It's a great way to share the game and get something in return.
  3. There are cool contests and a raffle at the Adoption Center where players can win prizes. By completing missions or referring friends, they can earn tickets for a chance to win big.

Briefing: Instagram nudges, Stripe retries, Chrome AI

Department of Product • 275 implied HN points • 25 Jan 24
🕹 Technology Product Management AI Browsers Startups E-commerce
  1. Instagram is implementing a new safety feature to deter teens from night-time app use.
  2. Many companies struggle to train employees on GenAI tools, but new visual AI workflow tools like VectorShift aim to simplify the process for product teams.
  3. Netflix's success in ad-funded plans raises questions on whether this model will extend to other product categories like SaaS.

Frameworks for Managing Up as a Software Engineer

High Growth Engineer • 624 implied HN points • 09 Feb 25
🕹 Technology Software Engineering Management Career development Communication Trust Building
  1. Building trust with your manager is essential. Focus on being sincere, reliable, caring, and competent in your work.
  2. You need to speak your manager's language. Understand their goals and priorities to communicate effectively and prevent misunderstandings.
  3. Regular updates matter. Create a system for updates that keeps your manager informed without overwhelming them, ensuring that every communication is valuable.

DeepSeek: Is this Jevon's Cope?

Mule’s Musings • 635 implied HN points • 29 Jan 25
🕹 Technology AI Infrastructure Market Trends Economic Theory
  1. Price changes can greatly influence how people feel about markets, leading to strong swings in sentiment. This idea is evident in the ongoing debates around AI infrastructure spending.
  2. The Jevons Paradox suggests that as technology makes things cheaper, demand often increases instead of decreases. This means that even with better technology, we may use more resources rather than less.
  3. There is a real risk that supply can exceed demand in the short term, impacting the market negatively. While the long-term picture may be optimistic, the immediate situation can be very different.

Data Science Weekly - Issue 525

Data Science Weekly Newsletter • 359 implied HN points • 15 Dec 23
🕹 Technology Data science AI Machine Learning Data Engineering Data Privacy
  1. Learning about causal models is important in data analysis because it helps explain what caused the data. This understanding can improve how we interpret results using Bayesian methods.
  2. There's growing concern over data privacy in AI tools like Dropbox. Users are worried their private files could be used for AI training, even though companies deny this.
  3. Netflix recently held a Data Engineering Forum to share best practices. They discussed ways to improve data pipelines and processing, which could benefit many in the data engineering community.
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⬅️ U.S Reverses 40+ Years of Pedestrian Safety

The Micromobility Newsletter • 511 implied HN points • 27 Jun 23
🕹 Technology Micromobility EVs E-Bikes
  1. Pedestrian traffic deaths in the U.S. reached over 8,000 in 2022 due to more deadly trucks and SUVs, as well as increased speeding after the pandemic.
  2. New York is considering hiking registration fees for larger vehicles to mitigate pedestrian fatalities caused by SUVs and trucks.
  3. Connecticut is launching its first electric bike incentive offering $500 vouchers for residents 18 or older and additional vouchers for disadvantaged communities.

AI's Big Hype

The Biblioracle Recommends • 511 implied HN points • 28 May 23
🕹 Technology AI Artificial Intelligence Tech regulation Data Ethics Future Impacts
  1. People promoting generative AI want us to believe it is inevitable, but that doesn't mean it's without risks.
  2. Humanity often faces catastrophic failures due to a mix of bad structural incentives and human desires.
  3. The push for artificial intelligence might lead to a world where human expression is replaced by algorithms, impacting writing and creativity.

SAI Notes #04: CI/CD for Machine Learning.

SwirlAI Newsletter • 511 implied HN points • 28 May 23
🕹 Technology Machine Learning DevOps Organizational Structure
  1. In Machine Learning projects, CI/CD processes need to treat the ML training pipeline separately from regular software pipelines.
  2. Efficient MLOps implementation requires an organizational structure where ML product development flows within a single end-to-end ML team.
  3. ML systems in mature MLOps setups involve ML teams building and delivering pipelines that expose predictions to end users through backend and frontend services.

Data: the new oil or a new byproduct?

Topsoil • 511 implied HN points • 30 Jun 23
🕹 Technology Data Agriculture Framework Digitization Analytics
  1. Data in agriculture is essential for advancements like Generative AI, automation, and precision agriculture.
  2. Challenges in farm digitization include issues like connectivity, interoperability, data quality, trust, and incentives.
  3. Farmers derive value from data through decision-making, enabling technologies, sharing with advisors, compliance, and future income opportunities.

📌🔜 REMINDER: AI DOOM SYMPOSIUM WITH LIRON SHAPIRA

The Cosmopolitan Globalist • 4 implied HN points • 22 Feb 26
🕹 Technology AI AI safety Ethics Policy Events Debate
  1. An AI Doom Symposium with Liron Shapira is starting in one hour and subscribers are invited to join.
  2. The event specifically invites people who think AI risks are overhyped to come and make their case.
  3. The Zoom link is behind a paywall to encourage subscriptions, but there are options for free access or assistance if you can’t afford to subscribe.

Apache Iceberg Isn't Coming To Save You

SeattleDataGuy’s Newsletter • 341 implied HN points • 27 May 25
🕹 Technology Data science Data Engineering Software Development Information Systems Cloud Computing
  1. Apache Iceberg might seem appealing, but it won't automatically solve your data problems. It's important to really understand what issues you're trying to address before jumping in.
  2. Switching to new tools like Iceberg won't fix a broken data strategy. The focus should be on delivering real business value, not just adopting the latest technology.
  3. If your data team is already doing well and looking to improve, Iceberg could be useful. But make sure it's the right fit for your specific challenges instead of following trends.

Neurotech Notables #7: April 2024

NEUROTECH FUTURES • 119 implied HN points • 30 Apr 24
🕹 Technology Neurotechnology Funding Commercial Regulatory Neuroethics
  1. Recent neurotech news includes a significant amount of new funding for various companies and startups in the field.
  2. There are notable developments in neuroethics, with mentions of landmark neuroethics work in Colorado and Paris, as well as the implementation guidance for responsible innovation of neurotechnology from OECD.
  3. The post also covers a wide range of commercial activities, regulatory updates, and upcoming events in the neurotech industry, showcasing a vibrant and evolving landscape.

SHAP Is Not All You Need

Mindful Modeler • 898 implied HN points • 07 Feb 23
🕹 Technology Machine Learning Interpretability Research Books Critique
  1. It's important to avoid assuming one method is always the best for all interpretation contexts when working with machine learning interpretability tools like SHAP.
  2. Different interpretability methods like SHAP and permutation feature importance (PFI) have unique goals and can provide different insights, so it's crucial to choose the method that aligns with the specific question you want to answer.
  3. Research on interpretability should be more driven by questions rather than methods, to ensure that the tools used provide meaningful insights based on the context.

Technically Monthly (February 2026)

Technically • 14 implied HN points • 05 Feb 26
🕹 Technology Artificial Intelligence Machine Learning Data science Software Engineering Cloud Computing Neuroscience
  1. Modern generative models mirror pathways in the human brain, and many researchers believe leveraging that similarity could be key to much stronger AI.
  2. Real cloud-spend data shows the fastest-growing AI use cases are coding agents, low-latency LLM inference, and computational biology, while AI art and video generation have plateaued as the market professionalizes.
  3. Models overuse em dashes mainly because of their training data and tokenization quirks—older texts and auto-converted punctuation make the em dash common—and this highlights how dataset quality and representativeness drive model behavior.

Why the internet isn't fun anymore + A.I. and magic

Read Max • 2186 implied HN points • 21 Dec 23
🕹 Technology Internet Artificial Intelligence Culture Silicon Valley Tech Ethics
  1. Many feel the internet is less fun now because of changing demographics and shifting cultural preferences.
  2. The internet may not be objectively worse, but it is used differently by various audiences.
  3. The embrace of AI in tech culture is influenced by historical themes of hierarchical society and authoritarian politics.

What do I know about Artificial Intelligence?

The Joyous Struggle • 395 implied HN points • 27 Nov 23
🕹 Technology Artificial Intelligence Ethics Risk Assessment Innovation Future implications
  1. Many people have mixed feelings about technology, especially artificial intelligence, due to fear of missing out, lack of understanding, and a sense of exclusion from the tech world.
  2. The author shares a sense of 'tech incredulity' toward AI, questioning its potential impact, limitations, and whether it truly warrants the level of concern it receives.
  3. Despite not having expert knowledge, the author acknowledges a responsibility to learn more about AI, to demystify the complexities surrounding it, and to understand the risks, potential, and ethical implications better.

More languages, live video previews in the feed, and new community moderation tools in the app

Substack • 635 implied HN points • 28 Jan 25
🕹 Technology Social media Content creation Product Updates User engagement
  1. Substack now offers translations in six new languages, making it easier for more people to read posts. This means readers can enjoy content in French, German, Spanish, Italian, Portuguese, and Brazilian Portuguese.
  2. Live video previews are now part of the feed. This helps users discover and join livestreams that are open to everyone, making it easier to connect and engage.
  3. New community moderation tools allow admins to manage comments more effectively. Users can now ban commenters right from the app, helping maintain a positive discussion environment.

DeepSeek: what it means and what happens next

ChinaTalk • 622 implied HN points • 01 Feb 25
🕹 Technology AI Innovation Open Source Chinese Tech Export Controls
  1. DeepSeek is a unique AI research lab that has no pressure to make money. This allows them to focus on innovation and open-source work without the typical commercial constraints most tech companies face.
  2. They prioritize hiring young, talented engineers who are passionate about technology. This approach leads to fresh ideas and creativity, breaking from traditional hiring practices in other companies.
  3. DeepSeek's relationship with the Chinese government is evolving, with potential benefits and challenges. As they gain more attention, there are questions about how much freedom they'll have in their open-source projects.

✨😈 Is AI really a 'deal with the devil?'

Faster, Please! • 731 implied HN points • 02 Jan 25
🕹 Technology AI Science fiction Dystopia Progress Ethics
  1. Science fiction often shows us two sides: one where technology helps us thrive and another where it brings doom. It's important to focus on the positive potential of technology, like AI, rather than just the fears.
  2. Many stories about artificial intelligence lean toward the negative, showing it as a threat to humanity. This comes from a long history of tales warning us about the dangers of seeking forbidden knowledge.
  3. The idea of trading something valuable for knowledge is age-old, like in the story of Faust. This shows that while there are risks in technology, curiosity and progress can lead to great benefits if approached wisely.

How I Use ChatGPT

The Ruffian • 663 implied HN points • 25 Jan 25
🕹 Technology Artificial Intelligence Software Consumer Tech Innovation Tools
  1. ChatGPT and Claude are popular AI tools, but users might find Claude to be more useful. Brand recognition plays a big role in which tool people choose.
  2. Many users are just starting to explore how to use LLMs (like ChatGPT and Claude) effectively. There's a lot of potential in these tools that many people are not fully tapping into.
  3. The author lists several ways they have used LLMs for various tasks, from troubleshooting tech issues to summarizing essays. This shows how versatile and helpful these tools can be in everyday life.

Import AI 346: Human-like meta-learning; a 3 trillion token dataset; spies VS AI

Import AI • 459 implied HN points • 30 Oct 23
🕹 Technology AI Data Robotics License Research
  1. UK's intelligence services are slightly worried about the safety implications of generative AI technologies, particularly in amplifying existing risks like cyber-attacks and digital vulnerabilities
  2. Research shows that a basic Transformer neural net architecture can meta-learn and match human performance in inferring complex rules from small data, hinting at AI systems increasingly displaying human-like qualities
  3. Facebook's Habitat 3.0 software enables training and testing agents to collaborate with humans by simulating realistic 3D environments with humanoid avatars, human-in-the-loop interactions, and benchmark tasks for human-robot interaction

The Automation Paradox: How More Tech Can Mean More Human Challenges

UX Psychology • 297 implied HN points • 12 Jan 24
🕹 Technology Automation UX Design Human factors Autonomous Vehicles Language Models
  1. Increased automation can lead to unexpected complications for human tasks, creating a paradox where reliance on technology may actually hinder human performance.
  2. The 'Irony of Automation' highlights unintended consequences like automation not reducing human workload, requiring more complex skills for operators, and leading to decreased vigilance.
  3. Strategies like enhancing monitoring systems, maintaining manual and cognitive skills, and thoughtful interface design are crucial for addressing the challenges posed by automation and keeping human factors in focus.

Decay Functions

Abstraction • 29 implied HN points • 09 Jan 26
🕹 Technology AI Machine Learning Forecasting Data science Algorithms
  1. A single probability for a time window needs a decay model because where the probability mass sits across the window determines how much chance remains as time passes.
  2. Probability can follow different hazard patterns—constant (linear decay), increasing (back-loaded, like last‑minute negotiations), decreasing (front‑loaded, like ceasefires), or event‑driven—and each pattern changes how fast the cumulative probability is consumed over time.
  3. The forecasting bot classifies which hazard applies (defaulting to constant when unsure) and uses that to update remaining probability as time elapses, but this is a refinement that can be misclassified and matters most for long‑horizon questions.

Management Section Intro: Tidy Together Chapter

Software Design: Tidy First? • 243 implied HN points • 18 Jul 25
🕹 Technology Software Design Management Development Trends
  1. Tidyings are small design changes you can make on your own. It's important to find a good rhythm for when to start and stop these changes.
  2. The next step in design management is more complex than just tidying up. It involves big refactoring challenges that need teamwork.
  3. Managing tidying design changes can improve overall software quality, but it requires balancing between making improvements and delivering new features.

Yes, you need to duplicate your frontend business logic on the server

Bite code! • 978 implied HN points • 13 Oct 24
🕹 Technology Web Development Software Engineering Cybersecurity Programming Systems Architecture
  1. Always have your business logic on both the frontend and the server. If you only trust the client side, you risk getting incorrect data.
  2. Your server needs to handle requests from various sources, including non-standard browsers and bots. These can bypass your frontend checks if they're not replicated on the server.
  3. Any important checks for security and data integrity should happen on the server to prevent unexpected issues. This means you'll often have to duplicate checks that you already do on the frontend.

Google TPU V6 Designs are Probably in China

AI Research & Strategy • 237 implied HN points • 07 Mar 24
🕹 Technology AI Espionage Cybersecurity Product Design Intellectual Property
  1. A Google engineer was arrested for leaking important AI designs, which could have serious effects on the company's competitive edge. It's alarming that such sensitive information can be accessed so easily.
  2. Once Google discovered the employee's suspicious activity, they didn't act quickly enough. Instead of launching a serious investigation, they let him continue working for a bit, which gave him a chance to escape.
  3. This situation raises concerns about how other companies might handle security. If a major firm like Google has weaknesses, it makes you wonder about the safety of information in smaller firms and universities.

Using AI: Queries, Conversations, and Projects

In My Tribe • 303 implied HN points • 11 Jun 25
🕹 Technology AI Machine Learning Human-computer interaction Software Development Educational Technology
  1. A conversation with AI is different from simply asking a question. You can explore topics more deeply and learn from the back-and-forth interaction.
  2. Using AI for projects is essential to becoming skilled with it. It’s like doing a group assignment, where you can create something together.
  3. Providing clear instructions and materials to AI helps it assist you better. Treating it like a partner, rather than just a tool, can lead to better results.

Neurotech Notables #8: May 2024

NEUROTECH FUTURES • 99 implied HN points • 15 May 24
🕹 Technology Neurotechnology Funding Commercial Regulatory Neuroethics
  1. Commercializing Brain Computer Interfaces (BCI) is a long-term endeavor that requires patience and perseverance
  2. Educating the public about neurotechnology involves balancing technical details with ethical considerations
  3. Collaboration and communication among experts in neurotechnology is crucial to advance innovation and ensure human dignity and safety

Spamtastic T-shirt sales

Conspirador Norteño • 24 implied HN points • 17 Jan 26
🕹 Technology Social media Spam Astroturfing Network Analysis
  1. A coordinated spam network of at least 31 newly created Bluesky accounts posted and amplified identical T‑shirt ads.
  2. The accounts all use female first/last name formats, follow users in large batches, and mostly rally around one low‑activity account that also promotes the same shirts.
  3. They recycle just two plagiarized profile photos and run on an external host (myatproto.social), making them clearly inauthentic astroturfing rather than real users.

How Capital One supports 14,000 technologists with one pipeline | Ameesh Paleja

Dev Interrupted • 28 implied HN points • 06 Jan 26
🕹 Technology Software Engineering DevOps Platform Engineering Cloud Infrastructure AI adoption Engineering Culture
  1. Standardizing build and deployment pipelines and automating SRE tasks removes repetitive work so large engineering teams can move like startups and focus on high‑value problems.
  2. AI in 2026 shifts from demos to real procurement: organizations will budget heavily for AI and should prioritize applying models to new workflows while enforcing strong security and governance.
  3. Pausing deploys (like Friday freezes) often increases risk by accumulating untested changes; regular, practiced deployments build resilience and reduce surprise failures.

#42: Five Enterprise AI Reversals From 2025

OSS.fund Newsletter • 37 implied HN points • 01 Jan 26
🕹 Technology Enterprise AI AI Governance Security Cloud Platforms Pricing Models Customer Service
  1. Human agents are still essential as the safety and empathy layer alongside AI, so companies must design and budget for hybrid human+AI workflows with clear escalation and QA paths.
  2. Enterprise buying now demands predictable, governable pricing and clear unit economics, pushing vendors toward outcome- or unit-based costing and hybrid seat/credit models that finance can forecast and control.
  3. The real enterprise risk and competitive moat is in orchestration, connectors, and governance — permissions, logging, and blast-radius controls (plus compliance posture and multi-model routing) are becoming hard buying criteria.

⤴⤵ Up Wing/Down Wing #33

Faster, Please! • 639 implied HN points • 01 Feb 25
🕹 Technology AI Robotics Transportation Energy Military
  1. Boom Supersonic is working on a new jet that can fly really fast, like the Concorde. They aim to take people from London to Miami in under five hours, but they have some challenges to overcome.
  2. A new project by DARPA shows that one person can control many robots at once. This could change how we do things in the military and other industries by making robot teamwork easier.
  3. The Duane Arnold nuclear plant in Iowa might reopen by 2028. This is part of a trend to bring back nuclear energy as it can provide clean and reliable power, especially with rising energy needs.