The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

AGI won't use computations

John Ball inside AI • 79 implied HN points • 23 Jun 24
🕹 Technology AI Computing Natural Language
  1. Artificial General Intelligence (AGI) might be achieved by focusing on pattern matching rather than traditional computations. This means understanding and recognizing complex patterns, just like how our brains work.
  2. Current AI systems struggle with tasks like driving or conversing naturally because they don't operate like human brains. Instead of tightly-coupled algorithms, more flexible and efficient pattern-based systems might be the key.
  3. Patom theory suggests that brains store and match patterns in a unique way, which allows for better learning and error correction. By applying these ideas, we could improve AI systems to be more human-like in understanding and interaction.

Security is Not an AI Problem

Security Is • 159 implied HN points • 02 May 24
🕹 Technology AI Cybersecurity Machine Learning Data science Digital Tools
  1. AI doesn't really fix security problems well. Many times, the technology just doesn't work in the tough, unpredictable environments that security deals with.
  2. The best results in security often come from simple, clear procedures, not from complex machine learning models. Basic rules can solve most problems effectively.
  3. Generative AI can help with minor tasks but isn't a magic solution for security. It might even confuse people about important issues, rather than clarify them.

In the End, They will All Look the Same

Sector 6 | The Newsletter of AIM • 379 implied HN points • 22 Jan 24
🕹 Technology AI Trends Data Privacy Model Training Generative AI Machine Learning
  1. The internet is facing an issue called 'model collapse' where AI chatbots start to sound more and more alike due to using generated content for training. This makes them lose their unique information.
  2. Research shows that when AI models use content made by other AIs to learn, they can forget important details and produce weaker results.
  3. Experts warn that as more AI models create similar data, future AI systems from different companies may end up producing nearly identical responses.

Joyspan, Emotional AI Bumpers, Persona Designers, & More Wild Concepts Bound to Become Commonplace Plus Where High-Tech Entertainment Brings Us

Implications, by Scott Belsky • 471 implied HN points • 19 Dec 23
🕹 Technology Artificial Intelligence Entertainment Digital Experiences AI Applications Future Technology
  1. Society evolves as wild concepts become mainstream, like connected appliances and AI-powered persona designers.
  2. The future of entertainment will focus on shared, authentic, non-scalable experiences over high-tech extravagance.
  3. Scarcity and authenticity will be essential in the next wave of digital experiences, emphasizing uniqueness and community connections.

The Sequence Radar #775: Last Week in AI: Tokens, Throughput, and Trillions

TheSequence • 63 implied HN points • 21 Dec 25
🕹 Technology Artificial Intelligence Machine Learning AI Research Compute Infrastructure Cloud Services Enterprise AI Model Deployment
  1. Massive funding and infrastructure bets are setting the rules: the companies that can industrialize models into cheap, reliable global services will win more than those with just the fanciest research demos.
  2. Engineering focus has shifted to throughput, latency, and long-context agentic capabilities, with new models and hardware optimized to move lots of tokens through multi-step workflows at predictable cost.
  3. Generative outputs and developer workflows are becoming iterative and productized — image editing in chat and tightened data/observability loops make AI a usable creative IDE, while enterprise platforms race to own the data plane and production tooling.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

OpenAI Is in Trouble (For Real This Time)

The Algorithmic Bridge • 392 implied HN points • 01 Jul 25
🕹 Technology AI Big Tech Corporate culture Innovation Competitiveness
  1. OpenAI is facing tough competition from Meta and Microsoft, which is creating tension and challenges for the company. It looks like these big companies are making moves to poach OpenAI's best talent.
  2. Historically, OpenAI has gone through multiple crises but has managed to bounce back each time. This current situation seems serious, but it's part of a pattern of troubles the company has faced before.
  3. There are concerns about OpenAI's leadership under Sam Altman. Some employees worry that a lack of open communication and differing opinions could hurt the company's ability to innovate.

New Algorithms, Not New Particles

Bzogramming • 45 implied HN points • 31 Dec 25
🕹 Technology Computing Algorithms Artificial Intelligence Materials Physics Biotechnology Energy
  1. Most practical technology is built from atoms, electrons, and photons, so discovering new high-energy particles isn’t what drives usable engineering; progress comes from better math, materials, and system design.
  2. Condensed-matter and materials science (like semiconductors and superconductors) are where real, applicable breakthroughs live, because emergent behaviors of many atoms produce useful properties we can actually engineer.
  3. The next big advances will come from new algorithms, mathematical tools, and using physical and biological systems as computational substrates (aided by ML), not from finding exotic particles; building bigger, smarter systems from known primitives is the path forward.

World’s Smallest USB-C Li-Ion Charger?!

atomic14 • 346 implied HN points • 16 Jul 25
🕹 Technology Gadgets Electronics DIY Projects Innovation Product Reviews
  1. The new USB-C Li-Ion charger is incredibly small, measuring just 10mm by 6mm. It's perfect for anyone needing a compact charging solution.
  2. This charger uses standard components like the LP4054 chip, allowing it to efficiently charge batteries at about 600mA, although it can get quite warm during use.
  3. Recreating the charger's board design is straightforward, making it accessible for hobbyists and those interested in electronics to try their hand at building one.

The Over-Engineering Trap

Tech Ramblings • 39 implied HN points • 28 Jul 24
🕹 Technology Software Development Engineering Practices Cost management Product Design Systems Architecture
  1. Simplicity and maintainability are more important than performance and complexity in software design. Focus on creating code that's easy for others to understand and work with.
  2. Avoid over-complicated platforms like microservices, especially if your application doesn't need them. Start with basic tools and scale only when necessary.
  3. Your goal as a software engineer should be to deliver a product that customers can use easily. Keeping things simple helps with maintenance and helps new team members get up to speed faster.

💥 Tech Talks Weekly #25

Tech Talks Weekly • 59 implied HN points • 01 Aug 24
🕹 Technology Software Development Conferences Web Development Programming Languages AI
  1. Tech Talks Weekly shares fresh talks from over 100 conferences every week. It's a great way to stay updated without sifting through a lot of content.
  2. This edition highlights talks from major events like ReactConf and JCON Europe. The featured talks include exciting topics like new features in React and domain-driven design.
  3. Readers are encouraged to fill out a form to help improve content and to spread the word about the newsletter. It's all about building a community around tech discussions!

We're Finding Out What Humans are Bad At

Am I Stronger Yet? • 799 implied HN points • 18 Feb 25
🕹 Technology AI Computing Engineering Innovation Robotics
  1. Humans are not great at some tasks, especially ones like multiplication or certain physical jobs where machines excel. Evolution didn't prepare us for everything, so machines often outperform us in those areas.
  2. In tasks like chess, humans can still compete because strategy and judgment play a big role, even though computers are getting better. The game requires thinking skills that humans are good at, though computers can calculate much faster.
  3. AI is advancing quickly and becoming better at tasks we once thought were uniquely human, but there are still challenges. Some complex problems might always be easier for humans due to our unique brain abilities.

Under the microscope: Tarzan Untamed (GameCube, PlayStation 2)

Rings of Saturn • 58 implied HN points • 20 Dec 25
🕹 Technology Video Games Reverse Engineering Emulation Game Development
  1. Entering certain profile names unlocks hidden features: 'UBIPATCH' (PS2) or 'MDSTRUE' (GameCube) reveals a developer-faces minigame, and 'FRAMERATE' turns on an on-screen performance display.
  2. There are platform-specific cheats: on GameCube 'MDSGODS' lets you start any level and unlock all collectibles and cinematics, while on PS2 pressing L1+L2+R1+R2 then entering directional sequences grants unlimited spears or 99 lives.
  3. Reverse engineering shows these cheats are implemented as plain strings and input checks in memory, which explains why some codes are unusable on GameCube or left unused because a needed button input never updates.

Is It Time to Say Goodbye to Data Engineers?

SeattleDataGuy’s Newsletter • 812 implied HN points • 06 Feb 25
🕹 Technology Data Engineering Software Development Data Management Business Intelligence Analytics
  1. Data engineers are often seen as roadblocks, but cutting them out can lead to major problems later on. Without them, the data can become messy and unmanageable.
  2. Initially, removing data engineers may seem like a win because things move quickly. However, this speed can cause chaos as data quality suffers and standards break down.
  3. A solid data strategy needs structure and governance. Rushing without proper planning can lead to a situation where everything collapses under the weight of disorganization.

UX Roundup: AI Judgment | Heuristic Evaluation | Consistent Brand Assets | New Music Model

Jakob Nielsen on UX • 21 implied HN points • 02 Feb 26
🕹 Technology Artificial Intelligence User Experience Generative AI Interaction Design
  1. AI judgment improves as models get bigger and are given more "think time," suggesting judgment skills scale with compute and could soon outperform humans in some tasks.
  2. AI is rapidly getting better at heuristic usability evaluation; one tool increased covered guidelines from 39 to 154 in eight months, implying a fast doubling pace and potential to automate many e-commerce heuristic checks within a year.
  3. Generative AI can produce consistent, on‑brand visual assets by rewriting prompts, using reference images, and verifying outputs, and new music models are improving too, though creators still prefer tools with stronger editing control and more stable vocals.

Innovation Job Market Papers 2025 (2/2)

New Things Under the Sun • 48 implied HN points • 24 Dec 25
🕹 Technology Innovation R&D Intellectual Property Industrial Policy Labor markets Finance Regulation Geography
  1. Innovation is highly geographically concentrated, and place-based policies like targeted R&D or industrial subsidies can raise growth, though the best approach depends on how technology interacts with local productivity and spillovers.
  2. The pace and pattern of technology diffusion hinge on human-capital and market frictions: worker mobility, training incentives, non-competes, and venture-capital funding shape how fast and widely new technologies spread.
  3. Institutions and regulations — including patent rules, exclusivity periods, financial development, and adaptive regulatory sandboxes — strongly shape firms’ incentives to innovate and the trade-off between protecting inventors and promoting broader technology diffusion.

More Efficiency, More Demand

Fish Food for Thought • 47 implied HN points • 31 Dec 25
🕹 Technology Artificial Intelligence Software Engineering Data science Automation Labor markets Product Development
  1. When tools make tasks cheaper and easier, we usually do more of those tasks, not less; efficiency expands demand and creates new uses.
  2. Automation tends to shift work, not eliminate it — machines handle repetitive parts while people take on harder, higher-value tasks like interpretation, edge cases, and oversight.
  3. AI will grow opportunities for engineers and data scientists by increasing the amount of software and systems to build, maintain, secure, and govern, shifting work toward architecture, judgment, and integration rather than rote coding.

Introducing a new way to publish from the Substack app

Substack • 1669 implied HN points • 25 Jul 24
🕹 Technology Apps Publishing Software Mobile Digital Tools
  1. The Substack app now has a new mobile editor that lets you write and publish posts directly from your phone. This makes it easier to reach your audience anytime and anywhere.
  2. You can create simple text and image posts, which is perfect for quick updates or sharing casual moments. The app saves your drafts automatically too.
  3. Currently, there are still some limitations, like not being able to edit published posts in the app. More features, like video posts and scheduling, are planned for the future.

A Vector Database 2,000 years in the making

What Is Called Thinking? • 82 implied HN points • 25 Nov 25
🕹 Technology Artificial Intelligence Machine Learning Natural Language Information Retrieval Ethics
  1. The Oral Torah is described as a living, growing, self-referential commentary tradition that developed over two thousand years and across continents.
  2. It’s not just an “oral tradition” that was later written down, but an ongoing, networked conversation of interpretation and commentary.
  3. The piece asks whether people should write with AIs in mind and suggests imagining the Oral Torah as a kind of long-lived, interconnected repository—like a vector database—for modern LLMs.

Import AI 359: $1 billion gov supercomputer; Apple’s good synthetic data technique; and a thousand-year old data library

Import AI • 339 implied HN points • 05 Feb 24
🕹 Technology AI Research Supercomputers Data Storage Language Models
  1. Google uses LLM-powered bug fixing that is more efficient than human fixes, highlighting the impact of AI integration in speeding up processes.
  2. Yoshua Bengio suggests governments invest in supercomputers for AI development to stay ahead in monitoring tech giants, emphasizing the importance of AI investment in the public sector.
  3. Microsoft's Project Silica showcases a long-term storage solution using glass for archiving data, which is a unique and durable alternative to traditional methods.
  4. Apple's WRAP technique creates synthetic data effectively by rephrasing web articles, enhancing model performance and showcasing the value of incorporating synthetic data in training.

China’s Hundred Lens War

ChinaTalk • 459 implied HN points • 28 May 25
🕹 Technology Augmented reality Virtual reality AI Technology Product Innovation Market Trends
  1. China's AR market is thriving with many small companies leading the way instead of just a few big giants. This competition is creating a diverse range of products and ideas.
  2. The use of AR glasses could become very useful in everyday life, like real-time translation or enhancing gaming experiences. There's potential for AR to change how we interact and work.
  3. China's AR industry is continuously innovating with new technology and partnerships, which might lead to more successful products in the future compared to what we've seen from larger companies.

All your Python project in one file with shiv

Bite code! • 978 implied HN points • 02 Jan 25
🕹 Technology Software Programming Development Tools
  1. Shiv allows you to bundle your Python project into a single executable zip file, which includes all your code and its dependencies. This makes it easy to run your program on any compatible server without needing to install anything else.
  2. Creating a zipapp with shiv involves a few steps, including setting up a virtual environment and running specific commands to package your project. It’s important to understand the process to avoid common pitfalls.
  3. Using shiv can simplify deployment, especially for web services or applications with many dependencies. However, it does require Python to be installed on the target machine and might not work well with certain compiled extensions.

Good Docs Describe, Bad Docs Prescribe

Rethinking Software • 299 implied HN points • 25 Jul 25
🕹 Technology Software Agile Documentation Development Coding
  1. Good documentation should describe the current state of the software, not what it might be in the future. This keeps it relevant and useful.
  2. Documents like ADRs and RFCs can become roadblocks if they're written too early. They can hold teams back instead of helping them move forward.
  3. The best documentation comes from the code itself, such as generated docs or inline comments. This helps ensure that the documentation matches the actual software.

Does data quality matter?

benn.substack • 1099 implied HN points • 22 Nov 24
🕹 Technology Data Quality AI Models Software Development Business strategy Analytics
  1. Data quality is important for making both strategic and operational decisions, as inaccurate data can lead to poor outcomes. Good data helps companies know what customers want and improve their services.
  2. AI models can tolerate some bad data better than traditional methods because they average out inaccuracies. This means these models might not break as easily if some of the input data isn’t perfect.
  3. Businesses now care more about AI than they used to about regular data reporting. This shift in focus might make data quality feel more important, even if it doesn’t technically impact AI model performance as much.

Flock Camera Vulnerability: It's Worse Than You Think

God's Spies by Thomas Neuburger • 95 implied HN points • 25 Nov 25
🕹 Technology Surveillance Cybersecurity Hacking Privacy Society
  1. Flock cameras can be hacked easily, giving people full control over them. This means they can be used for bad purposes like stealing data or spying.
  2. Surveillance can make people feel less secure and happy. When people think they are being watched all the time, it can harm their mental health and social connections.
  3. Despite the risks, many places still use Flock cameras and other surveillance tools because they seem convenient. People often accept it without questioning its impact on privacy.

BIG OOF: Patreon is enabling an insane stalking campaign

Natalia Mitigates The Apocalypse • 353 implied HN points • 29 Jan 24
🕹 Technology Social media Online Harassment Tech Platforms Content Moderation Digital ethics
  1. Stalking can happen to anyone, not just famous people, and tech companies like Patreon can inadvertently enable stalkers.
  2. Documenting and calling out instances of stalking and harassment can help raise awareness and hold tech companies accountable for their role.
  3. Coping strategies against online harassment include setting boundaries, exercising, practicing meditation, and using creativity to tell your story.

Bringing Security Out of the Shadows

Resilient Cyber • 99 implied HN points • 06 Jun 24
🕹 Technology Cybersecurity AI Software Compliance Risk management
  1. Shadow usage happens when employees use technology without telling the IT or security teams. This is easy to do, especially with things like personal devices and remote work.
  2. Cybersecurity teams often react to problems instead of staying ahead of technology trends. Instead of waiting for issues to arise, they should explore and adapt new technologies early.
  3. Long-lasting issues between security teams and other departments lead to frustration. If security teams work better with others, they can create a smoother, more productive environment.

AI is breadth-first, not depth-first

The AI Frontier • 99 implied HN points • 06 Jun 24
🕹 Technology AI Product Development Innovation Data Strategy Market Analysis
  1. AI works well across many tasks but struggles with the details. It can help with brainstorming or basic coding but doesn't replace expert-level understanding.
  2. When building AI products, think beyond one industry or function. There are opportunities where different jobs connect and can benefit from shared data.
  3. It's important to understand what experts want from your AI. They expect quality insights, so your AI should be ready to provide that next level of detail.

We are all doing AI wrong

Experiments with NLP and GPT-3 • 23 implied HN points • 30 Jan 26
🕹 Technology AI Software SaaS Product Management User Experience Tech Culture
  1. People are tired of AI being shoved into every product; users just want things that work reliably.
  2. Companies aren't using their own AI to fix basic bugs and bad interfaces, which suggests the tech either isn't ready for heavy lifting or it's being used more as marketing than as a solution.
  3. Stop adding gimmicky AI features and focus on fixing small, annoying problems so tools become reliable, private, and actually helpful.

Looking for a better story

imperfect offerings • 239 implied HN points • 18 Mar 24
🕹 Technology AI Ethics Environment Policy
  1. The future of AI may not necessarily be as promising as it has been hyped, with concerns about inflated expectations and potential limited use cases.
  2. The use of generative AI can have unintended negative consequences, such as detrimental effects on academia, exploitation of data workers, and potential harm to minority languages.
  3. AI's impact on the environment, from excessive water usage to electricity consumption, raises concerns about accelerating climate change and misinformation.

Huawei Founder on US v China and Basic Research

ChinaTalk • 415 implied HN points • 11 Jun 25
🕹 Technology Research Innovation Policy Economics Development
  1. Basic research is crucial for long-term success. Without it, countries can't make significant advancements and keep up with other leading nations.
  2. There are many challenges in the tech industry, but rather than focusing on the negative, it's important to keep moving forward and adapt. China is making progress through collaboration among its numerous chip companies.
  3. Support for theoretical scientists and researchers is essential. Their work, though often misunderstood and slow to show results, is key to the future development and innovation of the country.

The Securicode Edition

Why is this interesting? • 422 implied HN points • 05 Jun 25
🕹 Technology Automotive Design Innovation Security User Experience
  1. The Securicode keypad is a practical feature on vehicles that allows users to unlock doors without needing a key. It's been around since 1980 and remains popular because it's easy to use and very useful.
  2. Securicode introduces tiered access for vehicles, meaning you can allow someone to access your truck without giving them the ability to drive it. This is great for job sites where you might want to share tools without losing control of the vehicle.
  3. The long-lasting success of Securicode shows that simple solutions can be effective. More complex systems might be fancier, but they often require more resources, making Securicode a smart choice in automotive design.

The big demo

Tabletops • 334 implied HN points • 05 Feb 24
🕹 Technology Consumer Tech Product Launch Spatial Computing
  1. Apple's successful retail experience is crucial for the launch of new products like the Vision Pro.
  2. Apple Vision Pro is a personal and unique product in the spatial computing category.
  3. The detailed and well-coordinated demo experience for Vision Pro at Apple Stores is a key factor in its success.

Why security has become easier

Frankly Speaking • 355 implied HN points • 02 Jul 25
🕹 Technology Cybersecurity AI Data Tools Best Practices
  1. Security tools have improved a lot and are easier to use now. Companies can set up basic security measures quickly without needing huge teams.
  2. AI helps security teams by automating tasks and making their work faster. When used correctly, it can save time on repetitive tasks.
  3. There is now better data on security breaches which helps teams prioritize what risks to focus on. This makes good security practices more accessible and easier to implement.

Death, and rebirth, of virtual reality

SuperJoost Playlist • 456 implied HN points • 12 Jan 24
🕹 Technology Virtual reality Gaming Regulation Innovation
  1. Apple is changing the vocabulary around virtual reality to set itself apart from competitors like Meta.
  2. Regulators are updating policies on children's online privacy in response to the growing popularity of interactive entertainment.
  3. Significant job cuts are happening in big tech companies like Unity and Twitch, affecting the game development industry.

We’re Not Ready for the AI Power Surge

Common Sense with Bari Weiss • 426 implied HN points • 11 Jun 25
🕹 Technology AI Energy Data Infrastructure Innovation
  1. The rapid growth of AI technology is increasing the demand for energy, which may strain the current power grid in America.
  2. New AI models are becoming more powerful, and their popularity is likely to lead to even higher energy consumption as usage increases.
  3. Some experts express concern about the future energy needs for AI, while others believe the impact on electricity usage per query is low.

Should everyone do everything now?

Anant’s Newsletter • 6 implied HN points • 22 Feb 26
🕹 Technology AI Tools Product Development Design Software Engineering Collaboration Skills Development
  1. AI tools have made it easy to do credible work in neighboring roles, collapsing the old boundaries between engineering, design, and product.
  2. That ease creates a Dunning‑Kruger risk where people reach superficial competence and ship work that misses many subtle but important details and edge cases.
  3. The right response is to learn other disciplines deeply enough to know where your judgment ends, use AI to help but exercise restraint, and defer to specialized craft knowledge when needed.

Are You Ready for 2024?

Sector 6 | The Newsletter of AIM • 439 implied HN points • 26 Dec 23
🕹 Technology AI Hardware Software Market Trends
  1. AMD is making big strides in AI, partnering with major customers to improve data center capabilities and deploying new technologies like MI300 accelerators.
  2. The market for data center AI accelerators is growing rapidly, with projections increasing from $150 billion to over $400 billion by 2027.
  3. AMD is also enhancing software development tools to better support AI workloads, making it easier for businesses to integrate AI into their operations.