The hottest Technology Substack posts right now

And their main takeaways
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Top Technology Topics

What developers can do to combat the growing threat of rogue AI agents

Dev Interrupted • 32 implied HN points • 05 Feb 26
đź•ą Technology AI Security APIs Software Engineering DevOps Governance
  1. AI agents can go rogue by repeatedly or unpredictably calling APIs, chaining actions, or accessing data outside their intent, so permissive or poorly scoped endpoints become big operational risks.
  2. Treat agents as first-class API consumers: use clear, spec-driven contracts, structured schemas, and least-privilege identities with short-lived tokens so agent behavior is predictable and easy to revoke.
  3. Practical guardrails like rate limits, schema validation, anomaly detection, and strong observability are essential to spot and contain misbehavior, and keep deterministic systems separate from agentic workflows to reduce risk.

Wetware-Hardware Centaurs, Not Digital Gods: Wednesday MAMLMs

Brad DeLong's Grasping Reality • 176 implied HN points • 26 Nov 25
đź•ą Technology Artificial Intelligence Machine Learning Natural Language Human-AI AI Ethics
  1. Modern large language models are super-fast next-token mimics that draw on the collective human text record but don’t have durable world models, so they can be very good at summarizing and pattern-matching yet fail at understanding time, causality, or embodied tasks.
  2. AI capabilities are jagged: models shine on problems with clear reward signals or when the needed context fits easily into their input window, but they fail unpredictably on other practical tasks, and raw hardware speed alone won’t erase that unevenness.
  3. The realistic near-term outcome is centaur workflows where humans provide judgment and guardrails; achieving true, general understanding likely requires rethinking architectures to build explicit world models rather than just scaling current next-token engines.

Is Elon Musk the Anti-Christ?

Break Free with Karen Hunt • 1474 implied HN points • 26 Jul 23
đź•ą Technology AI Cryptocurrency Space Exploration Data Privacy
  1. Elon Musk is utilizing AI and technology to potentially control and surveil every aspect of human life.
  2. Musk's empire includes SpaceX, Neuralink, Starlink, and Dogecoin, indicating a quest for power and control.
  3. There are concerns regarding Musk's ambitions to dominate space, connect humanity to AI, and collect vast amounts of data.
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The place of humans in machine society

Trevor Klee’s Newsletter • 820 implied HN points • 01 Jul 25
đź•ą Technology AI Human-Computer Automation Society Future Trends
  1. Humans have created a world that is often incomprehensible for other beings, like dogs. Just as a dog depends on humans for everything, we might rely on machines in the future.
  2. The rapid development of AI could make life very different in the next several decades. It might surpass human abilities, leading to a world where machines handle most tasks.
  3. There is a concern that future generations might find today's human responsibilities baffling, as machines could take care of their needs better than humans can.

Kernel 6 Pitches Now Open!

Reboot • 29 implied HN points • 05 Feb 26
đź•ą Technology Tech Culture Software Media Design AI Food Tech
  1. Kernel issue 6, themed “FEED,” is open for pitches — nonfiction due Feb 20 and creative submissions due Feb 28.
  2. They want sharp, specific work by and for technologists that explores feeding in many senses: data and news feeds, what people and machines consume, supply chains, food cultures, and feedback loops.
  3. All contributions are paid (rates increased), there are stipended roles for editors and illustrators, and they expect original, high-quality pieces rather than tired clichés or low-effort AI work.

Not yet Dariopilled

Aliveness Studies • 3 implied HN points • 03 Mar 26
đź•ą Technology Artificial Intelligence AI safety Tech Policy Machine Learning Defense Tech Corporate Governance Regulation
  1. Anthropic presents itself as safety-first but has simultaneously pushed powerful models and commercialized aggressively, creating a tension between safety promises and business incentives.
  2. Anthropic tried to limit military uses by drawing red lines against autonomous kill decisions and domestic mass surveillance, but its nuanced stance led to a U.S. blacklist and competitors like OpenAI stepping in to take the contract.
  3. The “lead from the front” safety strategy is frustrated by a classic collective action problem: if rivals can defect with no cost, reputational pressure won’t prevent an arms race and firms are incentivized to advance capabilities anyway.

We All Work for the Same Boss Now

Justin E. H. Smith's Hinternet • 950 implied HN points • 01 Jun 25
đź•ą Technology AI Information Digital Culture Media Communication
  1. Technology can bring both good and bad changes, but we need to be aware of both sides. It's important not to worship or destroy new technology, but to think critically about its impact.
  2. Our current tech revolution, like the past ones, may lead to losses and hardships for many people, even as it also creates new opportunities. It's crucial to recognize that upheaval can be part of progress.
  3. The way we understand technology's role in society has shifted over time, and we must learn from history to navigate current challenges. We can't ignore the potential threats that come with new advancements.

The blast furnace - 800 years of technology improvement

Construction Physics • 10856 implied HN points • 23 Feb 23
đź•ą Technology Innovation History Manufacturing Science Environment
  1. Steel production has evolved over 800 years, with blast furnaces being a crucial part of the process.
  2. The blast furnace technology has seen gradual improvements by engineers and craftsmen over centuries.
  3. As advancements like hot blast and mechanization have been made, the blast furnace's role is changing in modern steelmaking.

GroupBy #40: Data Infrastructure at Airbnb

VuTrinh. • 179 implied HN points • 18 Jun 24
đź•ą Technology Data Engineering Software Development Infrastructure Open Source Scalability
  1. Airbnb focuses on using open-source tools and contributing back to the community. This helps them build a strong and collaborative data infrastructure.
  2. Their data infrastructure prioritizes scalability and uses specific clusters for different types of jobs. This approach ensures that critical tasks run efficiently without overwhelming the system.
  3. Airbnb has improved their data processing performance significantly, reducing costs while increasing speed. This was achieved through careful planning and migration of their Hadoop clusters.

Under the microscope: FireBlade (Xbox, PlayStation 2, GameCube)

Rings of Saturn • 43 implied HN points • 30 Jan 26
đź•ą Technology Video Games Reverse Engineering Emulation Software Cheats Retro Gaming
  1. Hidden cheat sequences exist in all three console versions and can unlock campaigns and extras when entered on the menu screens.
  2. Each port implements cheats differently: the GameCube uses a Konami-style code, the PS2 uses an R1/L1/Triangle/X sequence, and the Xbox has a more advanced, togglable cheat manager that enables invulnerability, infinite ammo/turbo, frame modes, and a Mega Cheat.
  3. Emulator-based debugging and reverse engineering (memory breakpoints, Ghidra with platform plugins) uncovered the input handlers, memory addresses, and static button arrays that map to those cheat codes.

Flows Are So Back

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 22 Aug 24
đź•ą Technology AI Data Development Software User Interface
  1. Graphs help show complicated data in a simple way. By using nodes and edges, you can easily see how everything connects.
  2. No-code tools let anyone, even those without programming skills, create complex workflows. This makes development quicker and more accessible for everyone.
  3. There's a growing need for tools that can organize and connect different AI flows. This would help everything work better together and solve problems more effectively.

How to Train Your AI

Who is Robert Malone • 12 implied HN points • 26 Feb 26
đź•ą Technology Artificial Intelligence Machine Learning NLP Data science AI safety Security Infrastructure
  1. Large language models are built by training huge neural networks on trillions of words to predict the next word, producing very powerful but imperfect base models that reflect their training data and cost a lot to train.
  2. Making models behave safely relies on fine‑tuning, human feedback (RLHF), constitutional rules, system prompts, filters, sandbox testing, and red‑teaming, but guardrails are always being probed and must be balanced against usefulness.
  3. Hallucinations—confident but false answers—and the question of whether models really 'think' are core issues, so techniques like retrieval‑augmented generation, citations, chain‑of‑thought, specialist models, and human review are used to reduce errors and limit harm.

Wardriving for a place to live

Jampa’s Substack • 40 HN points • 21 Aug 24
đź•ą Technology AI Tools Data Analysis Real Estate Software Development Urban planning
  1. Finding a place to live in a small, low-tech city can be really challenging. There aren't many real estate options or online listings, so one might need to explore the area by driving around.
  2. Using technology like OpenStreetMaps and AI can help in identifying neighborhoods and evaluating their quality. This can save a lot of time compared to traditional methods.
  3. It's important to check the neighborhood in person, even after using tech tools. Seeing the area first-hand can give a better understanding of what to expect and help find suitable homes.

Working with OLEDs: SSD1353 & SSD1333

lcamtuf’s thing • 1836 implied HN points • 30 Jan 25
đź•ą Technology Displays Microcontrollers Programming Electronics Game design
  1. OLED displays are generally better for microcontroller projects than traditional LCDs. They are easier to use and deliver better performance and visuals.
  2. For projects with limited RAM or CPU, smaller OLED displays like the SSD1353 and SSD1333 can be effective. They are simple to set up with basic connections.
  3. Setting up these OLED displays involves a few key commands and configurations, making it manageable even for beginners. Once connected, getting them to display graphics is straightforward.

Chat box? No thanks đź™…

Design Lobster • 339 implied HN points • 29 Apr 24
đź•ą Technology AI Design Image Generation Content creation Personalization
  1. AI design patterns are evolving beyond simple chat boxes to include features like 'Circle for more' and 'Invisible butlers'.
  2. Tools like 'Live canvases' and 'Magic brushes' are revolutionizing how we interact with and create digital content.
  3. Innovations like 'Language editors' and 'Infinite content' offer exciting possibilities for personalized and endlessly generated text and visuals.

A framework for ML Design Interviews

Recommender systems • 86 implied HN points • 10 Jan 26
đź•ą Technology Machine Learning Artificial Intelligence System Design Software Engineering Interviews Career Advice
  1. A repeatable ML design interview framework can greatly improve your success in FAANG-level interviews and has led to many offers.
  2. A good framework helps you pace the discussion, create a coherent narrative, and signal to interviewers what you would have covered with more time.
  3. The full framework is only shared privately on request instead of being posted publicly, so you need to message on Substack to receive it.

My review of THE COMING WAVE

Ground Truths • 7567 implied HN points • 09 Sep 23
đź•ą Technology AI Genomics Future of AI Large Language Models
  1. AI is on the brink of transforming our lives with the majority of interactions being with AIs, not people.
  2. The book 'THE COMING WAVE' by Mustafa Suleyman discusses the future of AI integrating life science and digital applications.
  3. The book offers a balanced perspective on AI's potential, historical context, and the challenges and opportunities it presents.

The Cultural, Psychological and Collective Impacts of Generative AI

AI Supremacy • 845 implied HN points • 10 Jan 24
đź•ą Technology AI Privacy Workplace Content creation Ethics
  1. Generative AI has various impacts on human welfare, rights, and mental health that need careful consideration.
  2. The integration of generative AI into society and culture raises concerns about bias, discrimination, and misinformation.
  3. The rise of generative AI affects the labor market, potentially leading to job displacement and impacting the quality of professional skills and critical thinking.

Nuclear Plants should be Industrial Cathedrals

Gordian Knot News • 227 implied HN points • 12 Nov 25
đź•ą Technology Energy Engineering Infrastructure Regulation Nuclear
  1. Nuclear power plants should be built strong and beautiful, like cathedrals, to last a long time and serve future generations well.
  2. Designing nuclear plants with large domes and easy access for maintenance can help ensure their reliability and longevity.
  3. It's important to consider the quality and maintainability of different nuclear plant designs, as some may be more cramped and prone to issues over time.

15 Times to use AI, and 5 Not to

One Useful Thing • 2226 implied HN points • 09 Dec 24
đź•ą Technology AI Machine Learning Data science Automation Software Development
  1. AI is great for generating lots of ideas quickly. Instead of getting stuck after a few, you can use AI to come up with many different options.
  2. It's helpful to use AI when you have expertise and can easily spot mistakes. You can rely on it to assist with complex tasks without losing track of quality.
  3. However, be cautious using AI for learning or where accuracy is critical. It may shortcut your learning and sometimes make errors that are hard to notice.

Long Take: How the Machine Economy combining AI, blockchain, and Fintech is growing

The Fintech Blueprint • 727 implied HN points • 31 Jan 24
đź•ą Technology AI Blockchain Fintech Crypto
  1. Web3 is becoming the venue for the emerging machine economy with AI and blockchain integration.
  2. There is a need for infrastructure to support decentralized AI development and deployment.
  3. The future may see AI agents centralized by tech giants, prompting a shift towards AI custody and control in Web3.

EU and US to work together on AI guidelines🤖, YC's Secret SAFE📜, Climate Risk Landscape🌍

The VC Corner • 419 implied HN points • 07 Apr 24
đź•ą Technology AI Venture Capital Startups Climate Risk Guidelines
  1. The EU and US are collaborating to create guidelines for artificial intelligence, helping to ensure safe and fair use of technology. Working together can lead to better standards and regulations for AI.
  2. YC's Secret SAFE is a financial tool that helps founders raise money more easily and efficiently. This simple agreement can speed up fundraising and make it more accessible for startups.
  3. The climate risk landscape is becoming increasingly important as companies assess their impact on the environment. Understanding these risks can help businesses make better decisions for the future.

Why Hallucinations Will Never Be Eliminated

Teaching computers how to talk • 167 implied HN points • 03 Dec 25
đź•ą Technology AI Models Language Data Safety Statistics
  1. Language models are just predictions and approximations of text, which means they can sometimes make up information that sounds believable but isn't true.
  2. These models don't understand the world the way humans do; they only see words related to other words, so they can get confused easily and not follow conversations well.
  3. People who develop language models try to make them safer, but sometimes these systems can be tricked, and that’s a serious concern since they can't truly differentiate between safe and dangerous content.

Systemic Concentrated Cyber Risks

Resilient Cyber • 79 implied HN points • 28 Jul 24
đź•ą Technology Cybersecurity Market Dynamics
  1. Concentrated cyber risks can cause major problems when a few companies dominate the market. If something goes wrong with a major vendor, it affects many organizations relying on them.
  2. Having a diverse range of vendors can help reduce risks. This diversity encourages innovation and prevents over-dependence on one company's tools.
  3. Finding the right mix between using dominant vendors and maintaining vendor diversity is crucial. Organizations must look for a balance that meets their unique needs while minimizing risks.

Introducing the AI Frontier

The AI Frontier • 59 implied HN points • 08 Aug 24
đź•ą Technology AI Innovation Software Startups Research
  1. The blog is now focusing more on specific AI topics instead of a wide range of subjects. This will help them share deeper insights and experiences.
  2. They aim to discuss what they've learned from building their AI product and how technology changes impact AI startups.
  3. Going forward, the blog will highlight useful projects and focus on practical lessons, like data cleaning, rather than generic news about AI.

Solving The SwiftUI Interview

Jacob’s Tech Tavern • 2186 implied HN points • 10 Dec 24
đź•ą Technology Software Programming Interviews Coding Swift
  1. Understanding SwiftUI is crucial for coding interviews, especially for positions focused on iOS development. It helps you stand out as a candidate.
  2. Practicing Swift Concurrency will give you an edge in solving problems more efficiently during interviews. It's an important skill that employers value.
  3. Interviews don't have to be stressful or frustrating. Using structured approaches can make the process smoother and more enjoyable for both candidates and interviewers.

Thoughts on the AI 2027 discourse

DYNOMIGHT INTERNET NEWSLETTER • 828 implied HN points • 23 Jun 25
đź•ą Technology AI Discourse Peer Review Critique Methodology
  1. The discourse around AI 2027 shows both excitement for its predictions and criticism regarding its methods. This mix of reactions indicates a deep interest and concern about the future of AI.
  2. Peer review in academic work has flaws and can often delay important findings. This can sometimes result in long and complicated processes that may not effectively ensure the accuracy of research.
  3. An open and collaborative approach to discussing and critiquing ideas, like what's happening with AI 2027, could lead to better outcomes. When people engage directly and constructively, it helps improve the ideas being presented.

Who can you trust?

Glenn’s Substack • 1395 implied HN points • 07 Apr 23
đź•ą Technology AI Deepfakes Encryption
  1. Questioning the trustworthiness of audio, video, and photographs due to the rise of deepfakes.
  2. Historically, relying on human witnesses has been essential in situations where visual evidence is questionable.
  3. Considering the utilization of specially trained observers, similar to Heinlein's concept of Fair Witnesses, to navigate the challenges of trust in evidence.

the agi dream keeps missing the point

Brain Pizza • 529 implied HN points • 16 Aug 25
đź•ą Technology Artificial Intelligence Neuroscience Cognition Data science Human Interaction
  1. The idea that intelligence can be created just by collecting more data is a big misunderstanding. Intelligence is more about how we interact with and adapt to the world, rather than just crunching numbers.
  2. Current approaches to AGI focus too much on centralization, which ignores how intelligence naturally develops in a distributed way through social and biological processes.
  3. True understanding isn't just about having tons of information; it's about context and how we learn from our experiences. Intelligence evolves through interaction and adaptation, not through simply stacking data.

✨ DeepSeek, China's new AI challenge

Faster, Please! • 1827 implied HN points • 25 Jan 25
đź•ą Technology AI Innovation Startups Competition Global Affairs
  1. DeepSeek is a new Chinese AI startup that has created an AI system competing with giants like OpenAI and Google using fewer resources. They used only 2,000 Nvidia chips and spent about $6 million on computing.
  2. The efficiency of DeepSeek's technology raises questions about the American innovation system and its current position in the global AI race. There's a concern that American companies need to adapt and speed up their advancements.
  3. If China leads in AI development, it could shift global power dynamics, similar to the reaction during the Space Race. This underscores the importance of not underestimating the growing competition in AI.

Kimi K2 and when "DeepSeek Moments" become normal

Democratizing Automation • 680 implied HN points • 14 Jul 25
đź•ą Technology AI Geopolitics Open Source Modeling Innovation
  1. Kimi K2 is a new AI model from a Chinese startup and shows that China is catching up to or surpassing the U.S. in AI development. This means we need to rethink how we view AI technology in the future.
  2. Training leading AI models is becoming easier and cheaper, which means more organizations can create powerful models. This trend hints at a growing competition in the AI landscape.
  3. The gap between open AI models from the West and those from China is widening. This signals a need for stronger support and investment in AI research in the West.

Ilya on deep learning in 2015

Democratizing Automation • 760 implied HN points • 28 Jun 25
đź•ą Technology Artificial Intelligence Machine Learning Deep Learning Data science Optimization
  1. Deep learning is not as complicated as it seems; the basic ideas are pretty straightforward and can be learned quickly with the right guidance. You don't need years of study to understand how it works.
  2. Getting the right random initialization for neural networks is crucial. If the initialization is too small, the signal can decay and become unnoticeable, making it hard for the model to learn effectively.
  3. Machine learning focuses on achieving good enough results rather than perfect solutions. It’s more about finding practical and useful models with the resources available.

ESP32-S3 ZX Spectrum - Update 22-06-2024

Single Board ESP32 ZX Spectrum • 159 implied HN points • 22 Jun 24
đź•ą Technology Hardware Software Manufacturing Design Crowdfunding
  1. The creator is grateful for the support shown for the ESP32-S3 ZX Spectrum project, with 432 people signing up for updates.
  2. Progress has been made in applying to platforms like Crowd Supply, developing prototypes with new features, and creating new artwork for the project.
  3. Key questions are addressed about the project, including display options, pricing, support for games, and potential selling platforms.

Formabble Prepares to Go Open Source

Formabble’s Substack • 2 HN points • 01 Oct 24
đź•ą Technology Game Development Open Source Artificial Intelligence Networking Software Engineering
  1. Formabble is going open source soon, which will make it more accessible for developers. This shift aims to encourage transparency and collaboration in game development.
  2. The platform uses AI to help developers create games more easily. Its features include automating coding tasks and offering intelligent suggestions, making game design simpler and more creative.
  3. Formabble's new design promotes better teamwork, especially for multiplayer games. It allows players to sync their game data in real-time and even continue playing offline, improving the overall gaming experience.

OpenAI o3 Model Is a Message From the Future: Update All You Think You Know About AI

The Algorithmic Bridge • 2080 implied HN points • 20 Dec 24
đź•ą Technology Artificial Intelligence Software Development Machine Learning Computing Innovation
  1. OpenAI's new o3 model performs exceptionally well in math, coding, and reasoning tasks. Its scores are much higher than previous models, showing it can tackle complex problems better than ever.
  2. The speed at which OpenAI developed and tested the o3 model is impressive. They managed to release this advanced version just weeks after the previous model, indicating rapid progress in AI development.
  3. O3's high performance in challenging benchmarks suggests AI capabilities are advancing faster than many anticipated. This may lead to big changes in how we understand and interact with artificial intelligence.