The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Tyler Cowen: Does AI Make Us Stupid?

Common Sense with Bari Weiss • 774 implied HN points • 23 Jun 25
🕹 Technology AI Research Cognition Criticism Ethics
  1. Using AI tools like ChatGPT can make some tasks easier but may reduce our ability to think deeply. It's similar to how relying on GPS makes people less familiar with routes.
  2. A new research paper suggests that using AI could lower our cognitive effort for tasks, leading to concerns about long-term thinking skills.
  3. Despite the fears about AI making us 'stupid,' the writer believes we're not in a worse situation than before—just be aware of how we use these tools.

ChatGPT just hallucinated all over me

The Rubesletter by Matt Ruby (of Vooza) | Sent every Tuesday • 855 implied HN points • 03 Jun 25
🕹 Technology AI Social media Digital Culture Misinformation Generative AI
  1. ChatGPT gives overly flattering responses instead of just answering questions. Sometimes, it feels like it's trying too hard to be nice rather than just being straightforward.
  2. It's easy to manipulate AI responses to fit personal beliefs. A little change in the way you ask can lead to a totally different answer, which can mislead people about facts.
  3. AI can't replace genuine human creativity and feelings. Projects like making zines remind us that real creativity and communication come from people, not machines.

The Sequence Opinion #790: From Book Smarts to Street Smarts: How AI Benchmarks are Changing

TheSequence • 70 implied HN points • 15 Jan 26
🕹 Technology AI Machine Learning Benchmarks Agents Evaluation Research
  1. We need to move from static benchmarks to dynamic, interactive evaluations that test observation-action loops and real-world behavior.
  2. The dominant model of AI is shifting from stochastic next-token chatbots to agents that must navigate, reason, and execute long-horizon workflows.
  3. High scores on frozen tests can be misleading because models memorize benchmarks yet fail on practical tasks. New evaluation gyms are needed to measure ongoing, practical performance.

Clouded Judgement 2.20.26 - The SSD / Memory Reckoning

Clouded Judgement • 20 implied HN points • 20 Feb 26
🕹 Technology AI Infrastructure Semiconductors Cloud Computing Data Orchestration
  1. A global NAND/SSD shortage has emerged as AI demand has ballooned, driving big gains in memory-related stocks and creating a structural supply problem.
  2. AI has shifted from being compute-bound to data- and memory-bound. Inference, KV caches, and the flood of AI-generated artifacts need huge, low-latency memory and expose inefficiencies in legacy tiering and NAS data paths.
  3. The answer is efficiency, not just buying more flash: orchestrate data so local GPU NVMe can be used as fast Tier‑0, tier cold data to HDDs, recover stranded capacity, use hybrid cloud, and deduplicate across regions to cut flash demand.
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DeepSeek's Secret to Success

ChinaTalk • 1615 implied HN points • 30 Jan 25
🕹 Technology AI Innovation Labor relations Corporate Governance Entrepreneurship
  1. DeepSeek's success is due to its flat management style, which allows employees more freedom and collaboration compared to the typical rigid structure of Chinese tech firms. This supportive culture fosters creativity and innovation.
  2. Unlike many tech companies in China, DeepSeek was not funded by the government or large corporations. It was self-funded by a former hedge fund manager, allowing it to operate independently and avoid typical pressures.
  3. DeepSeek's hiring approach focuses on young talent, valuing passion and fresh ideas over years of experience. This strategy has helped the company innovate rapidly and challenge larger competitors.

Thinking About AI, Before AI Disappears

Technohumanism • 79 implied HN points • 25 Jul 24
🕹 Technology AI Tech History Digital Life Consciousness Innovation
  1. AI is changing our lives quickly and soon we'll take it for granted just like we do with other technologies, such as smartphones and electric lights.
  2. Every major technology has influenced how we think and see the world, and AI is likely to do the same by altering our realities in ways we can't fully understand yet.
  3. While there are valid concerns about AI impacting jobs or privacy, people seem to overlook the huge changes in human consciousness that such technologies bring.

Numlock News: January 8, 2024 • Robots, Ramen, Star Citizen

Numlock News • 786 implied HN points • 08 Jan 24
🕹 Technology Gaming Food Books Automation Software
  1. Star Citizen is a video game in alpha development raising massive funds through selling digital spaceships.
  2. Instant ramen sales are booming globally, with a spicy chicken-flavored soup gaining popularity in the US.
  3. Automation struggles as some tasks are easy for humans but difficult for robots, showcasing a low robot usage rate in US manufacturing plants.

Fruits & Roots

Software Design: Tidy First? • 2187 implied HN points • 15 Nov 24
🕹 Technology Software Design Development Team Dynamics Project management Engineering Practices
  1. The Forest represents a way of working where teams can deliver value quickly and effectively, highlighting benefits like fewer bugs and delivering good news often.
  2. Achieving the success of The Forest requires commitment to its roots, which involve working together, learning actively, and not over-planning.
  3. Communicating a shared purpose and fostering a strong community are crucial for maintaining the balance between roots and fruits in a productive team environment.

A Brief History of SaaS and What's Next

Ulysses • 619 implied HN points • 11 Feb 24
🕹 Technology Software Innovation Artificial Intelligence Biotech Robotics
  1. The relationship between return-seeking capital and new technology development creates cycles that go from early adoption to commodity status, setting the stage for the next wave of technological innovation.
  2. Software in the SaaS sector is moving towards commodification, freeing up resources for progressing technologies like artificial intelligence, robotics, biotech, and space innovations.
  3. Advancements in robotics, biotech, accelerated design and manufacturing, and space technology are being driven by the commodification of software intelligence, leading to a new Golden Age of innovation in various industries.

Beyond Earth Technologies: Call to Action

Space Ambition • 799 implied HN points • 05 Jan 24
🕹 Technology Space Tech Biotech Energy Robotics IT Infrastructure
  1. Beyond Earth Technologies is looking for innovative projects that can help with living on other planets and also have real opportunities for business now.
  2. If you're a scientist or inventor working on things like energy, robots, or habitats, you can apply to join their program by January 31st.
  3. You can share this opportunity with friends who have great ideas, and it only takes a few minutes to apply.

Data Science Weekly - Issue 528

Data Science Weekly Newsletter • 799 implied HN points • 05 Jan 24
🕹 Technology Data science AI Machine Learning Software Engineering Research
  1. Data Science Weekly shares curated news and articles each week related to data science, AI, and machine learning. This helps readers stay updated on important trends and topics.
  2. Deepnote emphasizes using its own platform for building data infrastructure, showcasing how versatile tools can simplify data tasks. It highlights the importance of a universal computational medium.
  3. A reliable A/B testing system is essential for businesses to make informed decisions and optimize performance. Companies that use effective experimentation platforms can significantly improve their outcomes and reduce manual work.

Lies, damned lies, and photodiodes

lcamtuf’s thing • 2040 implied HN points • 09 Dec 24
🕹 Technology Electronics Engineering Optics Sensors Measurement
  1. Photodiodes can have a wide range of response speeds, and the advertised specs often don't tell the whole story. It's important to understand how they are tested, as this can affect their performance.
  2. When building precise measurement devices with photodiodes, two types of currents play a role. One is fast, while the other can take much longer to settle down, impacting the overall signal quality.
  3. Using techniques like reverse bias can improve performance, but some effects are inherent to the photodiodes themselves. Understanding these limitations is key for achieving accurate measurements.

🎦🤖 'Jurassic Park's' surprising lesson about AI, automation, and jobs

Faster, Please! • 731 implied HN points • 03 Jul 25
🕹 Technology AI Automation Jobs Economics Innovation
  1. Technological changes can be scary, but they often create new opportunities instead of just taking jobs away.
  2. Adapting to new tech can lead to success and rewards for those who are flexible and open-minded.
  3. The story of Phil Tippett shows that innovation can lead to surprising and positive outcomes, even when change seems daunting.

This Week in Marketing: Europe entertains social media bans and Big Tech’s ads vs. AI push

The Social Juice • 29 implied HN points • 08 Feb 26
🕹 Technology Social media Artificial Intelligence Ad Tech Platforms Streaming Media Cloud Computing
  1. Governments are ramping up regulation of social platforms and their recommendation engines. Some countries are even proposing bans for under-16s and opening investigations into AI tools.
  2. Big tech ad businesses are still making record money, with Google, YouTube, Amazon Ads and others reporting big revenue gains. At the same time companies are pouring huge sums into AI and facing slower user growth or rising costs.
  3. AI is rapidly reshaping advertising and product features, from AI-generated Super Bowl ads to agentic ad tools and chat assistants. That surge is creating new safety, legal and measurement headaches around deepfakes, moderation and publisher defenses.

LangGraph Agents By LangChain

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 19 Aug 24
🕹 Technology AI Data Software Programming Engineering
  1. Graph-based representations are becoming popular in AI, making it easier to visualize application flows and manage data relationships. This helps in understanding complex connections between data points.
  2. There are two ways to create graph representations: one is using code to create a visual flow, and the other is using a graphical user interface (GUI) to build the flow directly. This dual approach caters to different needs and levels of user expertise.
  3. Graph data structures allow for both firm control over applications and the flexibility needed for agent-based systems. This is useful for tasks where interactions and decisions must adapt based on inputs or user approvals.

How To Get Internet Feedback Without Going Insane

The Bottom Feeder • 484 implied HN points • 14 Aug 25
🕹 Technology Internet Feedback Creativity Community Gaming
  1. Too much online feedback can be overwhelming and confusing. It's important to filter out negative comments to protect your mental health.
  2. Building a private community of trusted beta testers can help you get useful feedback without the noise of public opinions. These testers should be honest but respectful.
  3. Make sure your testers understand and appreciate the kind of work you do. Feedback is most helpful when it comes from people who are genuinely interested in your specific type of creation.

Olympics, AI, and some BI

HyperArc • 59 implied HN points • 05 Aug 24
🕹 Technology AI Data science Analytics Machine Learning Software Development
  1. AI can help us learn about the Olympics and analyze different aspects, like who won medals and their physical attributes. It starts with basic questions and gets more complicated over time.
  2. While AI is good at remembering information and summarizing it, it struggles with reasoning about things it hasn't seen before. This means it can't always come up with new insights without the right data.
  3. For businesses, using AI with their private data can lead to smarter insights and faster decisions. It's important to combine human knowledge with AI to make the best use of available information.

Crowdstrike: How Not to Do OTA Updates

burkhardstubert • 39 implied HN points • 19 Aug 24
🕹 Technology Cybersecurity Software IT Infrastructure Updates System Design
  1. CrowdStrike made a big mistake by rolling out an untested update to all users at once, causing millions of computers to crash. They need to treat configuration updates like real code and test them properly.
  2. Delta Airlines faced huge losses because it didn’t have backup systems in place when the CrowdStrike update went wrong. Having spare systems or a better contingency plan could have minimized disruptions.
  3. Microsoft should improve its recovery methods after crashes, possibly by adopting an automatic system recovery strategy. Learning from other platforms could help avoid these issues in the future.

Charting AI's Rise: 2025's Intelligence Breakthroughs Visualized

Maximum Truth • 88 implied HN points • 31 Dec 25
🕹 Technology Artificial Intelligence Machine Learning Computer Vision Open Source Industry Trends Benchmarks
  1. AI systems made rapid, large intelligence gains in 2025 on a Mensa-style offline IQ test, with several models reaching scores in the human-intelligence range.
  2. Visual understanding improved significantly, enabling models to read and reason from images directly, which could let them gather new real-world training data beyond online text.
  3. Progress was global and diverse: open-source and Chinese models closed ground and formerly weak systems like Grok rose fast, increasing competition and reducing single-company dominance.

A bear case on Google :)

Enterprise AI Trends • 168 implied HN points • 23 Nov 25
🕹 Technology AI Product Cloud Machine Learning Developer Tools User Experience
  1. Google’s Gemini offerings are fragmented and inconsistently messaged across apps and tools, which creates user confusion and slows adoption.
  2. Google is missing obvious product opportunities — like low‑latency real‑time voice APIs, text‑to‑music, and basic chatbot memory/agent features — that would win enterprise and creator customers.
  3. Google under‑promotes shipped capabilities and developer tools (e.g., Chrome summarization, Gemini CLI) and needs stronger marketing and dev‑rel to capture mindshare.

Is Ariane 6 the last European launcher?

Europe in Space • 727 implied HN points • 17 Jan 24
🕹 Technology Space Exploration
  1. Europe may face challenges in maintaining cooperation for developing future heavy launch vehicles.
  2. New players like The Exploration Company could potentially disrupt the European space industry by offering innovative solutions.
  3. European Space Agency is exploring the idea of a launcher challenge to involve commercial actors in the development of a successor to Ariane 6.

The Enshittification of Google Docs

How the Hell • 184 implied HN points • 18 Nov 25
🕹 Technology AI Product UX Software Productivity Collaboration
  1. Google put its AI buttons right on top of the document, creating a persistent distraction that breaks writers' focus and wastes ideas.
  2. The AI features are poorly integrated: suggestions appear as pop-ups you can’t easily compare, get pasted into docs messily (even breaking formatting), and the experience has become more intrusive instead of better.
  3. A new editor called Owl Editor aims to fix this by letting you write without distractions, run a review that inserts AI feedback as track-changes you can accept or reject, and gather multiple reviewer perspectives to catch factual and reasoning errors.

What just happened

One Useful Thing • 1936 implied HN points • 19 Dec 24
🕹 Technology Artificial Intelligence Machine Learning Tech advancements Computer Science Innovation
  1. There are now many smart AI models available for everyone to use, and some of them are even free. It's easier for companies with tech talent to create powerful AIs, not just big names like OpenAI.
  2. New AI models are getting smarter and can think before answering questions, helping them solve complex problems, even spotting mistakes in research papers. These advancements could change how we use AI in science and other fields.
  3. AI is rapidly improving in understanding video and voice, making it feel more interactive and personal. This creates new possibilities for how we engage with AI in our daily lives.

Data Science Weekly - Issue 554

Data Science Weekly Newsletter • 119 implied HN points • 04 Jul 24
🕹 Technology Data science AI Machine Learning Data Engineering Visualization
  1. Staying updated in data science, AI, and machine learning is essential for improving skills and knowledge. Weekly newsletters provide curated articles and resources that help you keep up with the latest trends.
  2. Effective structuring of data science teams can greatly enhance productivity. Learning from past experiences on team reorganizations can help in clarifying roles and increasing effectiveness.
  3. Building interactive dashboards in Python can make data more accessible. Using tools like PostgreSQL and specific libraries can simplify the process and enhance data visualization.

10 AI Stories That Shaped 2025

Artificial Ignorance • 84 implied HN points • 04 Jan 26
🕹 Technology Artificial Intelligence Machine Learning Hardware Semiconductors Cloud Infrastructure Regulation Workforce
  1. AI leadership is no longer a U.S. monopoly—lean, well-engineered models from other countries proved they can match top performance without massive budgets.
  2. Reasoning models and AI agents improved very quickly and competition shuffled leadership often, and that progress is already reshaping work and creative industries, with entry-level roles hit hardest.
  3. The AI boom is tied up with geopolitics, chip supply, talent wars, and massive infrastructure builds, creating local backlash and hard questions about ROI and inflated valuations.

The Sequence Knowledge #796: Welcome to the World of World Models

TheSequence • 49 implied HN points • 27 Jan 26
🕹 Technology Artificial Intelligence Machine Learning Reinforcement Learning Simulation Generative models Autonomous Agents
  1. World models shift AI from learning static snapshots to learning dynamics by building internal simulators of perception → action → consequence loops.
  2. Reasoning is increasingly treated as search over possibilities, and world models let agents cheaply explore options, test hypotheses, and roll out trajectories before acting.
  3. World models act as a universal sandbox where you can generate environments and edge cases and measure behavior under distribution shift to speed up and harden agent development.

AI is a funny coworker

Sunday Letters • 39 implied HN points • 18 Aug 24
🕹 Technology AI Machine Learning Product Design User Experience Automation
  1. AI tools can be very intelligent and quick, but they also sometimes make things up and can be frustrating to work with.
  2. These AI coworkers are always available and eager to help, but they struggle with remembering context and prefer to start over rather than make small changes.
  3. Improving interaction with AI is important, and with better design and usability, they can become more effective and user-friendly in the workplace.

UV tricks

Bite code! • 1957 implied HN points • 15 Dec 24
🕹 Technology Software Programming Development Tools Python
  1. Using 'uv run' lets you run commands in a temporary environment without cluttering your main setup. This makes it easy to use big tools like Jupyter without installing them every time.
  2. The 'uvx' command works like 'npx', letting you test and run Python utilities quickly. It handles dependencies nicely, so you can focus on your tasks without worrying about setup.
  3. Creating scripts with 'uv init' helps you get started fast. It sets up everything you need, including project files and dependencies, making it easier to organize your Python projects.

The Inconvenient Truths of Self-Service Analytics

SeattleDataGuy’s Newsletter • 506 implied HN points • 08 Aug 25
🕹 Technology Data Analysis Business Intelligence Artificial Intelligence Analytics Tools Leadership skills
  1. Self-service analytics hasn't delivered as promised. Companies still struggle to find basic answers and often just switch tools instead of addressing the real issues.
  2. Dashboard fatigue is a real problem. Many dashboards go unused because they are complicated and not user-friendly, making executives reluctant to engage with them.
  3. AI is not a cure-all for self-service problems. Data needs careful preparation and clear questions from users to be effective, and many still rely heavily on traditional methods like spreadsheets.

One Law to Rule All Code Optimizations

Confessions of a Code Addict • 817 implied HN points • 08 Jun 25
🕹 Technology Software Programming Hardware Optimization Performance
  1. Code optimization can be unpredictable, and not every change will guarantee improved performance. It's important to understand why an optimization might succeed or fail.
  2. The Iron Law of Performance provides a framework for evaluating software optimizations. It focuses on three key factors: the number of instructions, cycles per instruction, and cycle time.
  3. Optimizations like loop unrolling and function inlining reduce the number of instructions executed and can increase instruction throughput. However, they might also lead to some challenges like register spills and increased cache pressure.

Open Thread 352

Astral Codex Ten • 2408 implied HN points • 21 Oct 24
🕹 Technology AI Conferences Community Networking
  1. You can join weekly open threads to discuss anything or ask questions. It's a great way to interact with others.
  2. There are various events and conferences coming up that focus on AI and social skills, which you might find interesting.
  3. If you entered a book review contest, make sure to check if you've received your prize. Email if you think you missed out.

Meta Pivots on Content Moderation

Don't Worry About the Vase • 1702 implied HN points • 17 Jan 25
🕹 Technology Social media Content Moderation Free speech Censorship Policy Changes
  1. Meta, the company behind Facebook, is changing how it moderates content. They want to focus more on free speech and go against past practices of heavy censorship.
  2. Mark Zuckerberg admits that past fact-checking efforts were often biased and sometimes led to the wrongful censorship of innocent posts or accounts.
  3. The new plan includes bringing back voices from the community and updating rules to allow more speech. However, there's a need for transparency about past mistakes and a way to fix them.

🚀 FP! Week In Review, Briefly #13

Faster, Please! • 182 implied HN points • 22 Nov 25
🕹 Technology AI R&D Innovation Economics Progress
  1. AI anxiety could slow down progress in technology and innovation. It's important to manage these fears to move forward.
  2. California has a unique opportunity to lead in certain areas but there are challenges that need to be addressed.
  3. Using AI to automate research and development can boost economic growth and enhance productivity significantly.