The hottest Technology Substack posts right now

And their main takeaways
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Top Technology Topics

Sometimes complicated is clearer

CodeFaster • 36 implied HN points • 19 Feb 25
🕹 Technology Software Programming Development Automation Open Source
  1. Complicated things can sometimes be clearer than simple ones. It can help to look at details closely. It's okay to dive deeper to understand better.
  2. Taking screenshots at different intervals can help document changes over time. This can be useful for tracking progress or capturing important moments.
  3. Support from readers can help content creators keep producing work. Subscribing, whether free or paid, can make a difference.

Choosing a microcontroller

lcamtuf’s thing • 6530 implied HN points • 08 Feb 25
🕹 Technology Microcontrollers Embedded Systems Programming Automation
  1. When picking a microcontroller for simple projects, stick to 8-bit options like AVRs. They are easy to use and work well for tasks that don’t need a lot of speed or memory.
  2. For more demanding applications, like video processing or complex calculations, go for higher-end 32-bit microcontrollers. They are more powerful and can handle heavy data loads.
  3. If you need wireless connectivity and processing power, single-board computers are the way to go. They run full operating systems but can be more expensive and less efficient than microcontrollers.

My Top 15 OS Books: From Theory and Implementation to Systems Programming

Confessions of a Code Addict • 673 implied HN points • 18 Feb 25
🕹 Technology Software Programming Operating Systems Computer Science Development
  1. Understanding operating systems is really important for software engineers. It helps you know how your code runs and can make fixing problems easier.
  2. There are different types of books to learn about operating systems: theory books, implementation books, and systems programming books. Each type helps you at different stages of your programming journey.
  3. Some popular OS books, like 'Operating Systems: Three Easy Pieces', are easy to understand and cover key concepts without sticking to just one system. These resources are great for anyone wanting to learn about OS.

Caterpillar to Butterfly

Software Design: Tidy First? • 1237 implied HN points • 14 Feb 25
🕹 Technology Software Expertise Design Consulting Scaling
  1. As organizations grow, the need for specialist skills becomes more important. It's not enough to have hobbyists; experts are needed to handle complex tasks.
  2. When specialist teams form, their priorities might clash with client teams' needs. Client teams often want quick fixes, while specialists aim for quality work.
  3. To handle increased requests, organizations should empower client teams to solve their own issues. This self-service approach helps manage workloads and creates better efficiency.

Deep dive in hybrid battery packs

Intercalation Station • 159 implied HN points • 30 Oct 24
🕹 Technology Batteries Energy Electronics Automotive Innovation
  1. Hybrid battery packs mix different battery chemistries to improve performance. This allows for better energy management and potentially raises the accuracy of state-of-charge readings.
  2. These new packs can perform better in low temperatures and support faster charging. By combining different cell types, they can work more efficiently across different conditions.
  3. While hybrid batteries have advantages, they can also be more expensive and heavier. This extra cost might make them less appealing for some applications, though prices for certain battery types are dropping.
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Reading List 1/11/25

Construction Physics • 14614 implied HN points • 11 Jan 25
🕹 Technology Automation Infrastructure Climate Robotics Transportation
  1. The fires in Los Angeles caused massive destruction, displacing over 100,000 people and resulting in damages estimated at more than $50 billion. This highlights the growing risks of wildfires in urban areas.
  2. Self-driving tractors are advancing with new technology, allowing them to perform various farming tasks autonomously. This could help farmers manage labor shortages more effectively.
  3. Automation is not just limited to self-driving vehicles; companies like Chick-fil-A are using robots to automate tasks like lemon squeezing, improving efficiency and making jobs easier for employees.

Build AI or Be Buried By Those Who Do

Contemplations on the Tree of Woe • 3574 implied HN points • 30 May 25
🕹 Technology AI Machine Learning Innovation Automation Data science
  1. There are three main views on AI: believers who think it will change everything for the better, skeptics who see it as just fancy technology, and doomers who worry it could end badly for humanity. Each group has different ideas about what AI will mean for the future.
  2. The belief among AI believers is that AI will become a big part of our lives, doing many tasks better than humans and reshaping many industries. They see it as a revolutionary change that will be everywhere.
  3. Many think that if we don’t build our own AI, the narrative and values that shape AI will be dominated by one ideology, which could be harmful. The idea is that we need balanced development of AI, representing different views to ensure freedom and diversity in thought.

The Paris AI Anti-Safety Summit

Don't Worry About the Vase • 4390 implied HN points • 12 Feb 25
🕹 Technology AI safety International relations Policy Analysis Regulation Public Perception
  1. The recent Paris AI Summit shifted focus away from safety and risk management, favoring economic opportunities instead. Many leaders downplayed potential dangers of advanced AI.
  2. International cooperation on AI safety has weakened, with past agreements being ignored. This leaves little room for developing effective safety regulations as AI technologies rapidly evolve.
  3. The emphasis on voluntary commitments from companies may not be enough to ensure safety. Experts believe a more structured regulatory framework is needed to address serious risks associated with AI.

Literate Testing

Rethinking Software • 99 implied HN points • 14 Jun 25
🕹 Technology Software Programming Testing Development Documentation
  1. Literate programming is great for keeping your code and documentation together. It helps you write tests in a clear and organized way without needing extra frameworks.
  2. With literate programming, you can easily mock functions and test them directly, even in languages like C that are usually tricky to test. This makes the testing process simpler and more enjoyable.
  3. Placing tests right next to your code helps you keep everything organized and makes writing tests feel less like a chore. You start to see tests as part of your coding process rather than an extra step.

The leading AI models are now good historians

Res Obscura • 15240 implied HN points • 22 Jan 25
🕹 Technology AI Models Historical Analysis Generative AI Research Methods
  1. AI models are getting really good at history, especially in specific areas. They can help with tasks like translating old texts and offering historical context.
  2. While some people worry that AI tools lead to cheating in education, they can also enhance research efficiency. They help researchers to gather information and insights quickly.
  3. Despite AI's advancements, human creativity and understanding are still irreplaceable. There's a recognition that the unique human experience and thoughts are valuable and cannot be fully replicated by AI.

How to destroy a world

Data People Etc. • 53 implied HN points • 24 Feb 25
🕹 Technology AI Data science Software Systems Influencers
  1. Frameworks can be used for both building and breaking worlds. It's important to understand how to exploit weaknesses in these structures.
  2. To weaken a dominant system, you can undermine its narrative, disrupt key players, and challenge established norms. This approach can create doubts and resistance.
  3. Destroying a world can teach us about resilience. Strengthening systems and protocols is crucial to support and maintain their relevance in changing times.

Money, Drama, and China: Why AI’s Next Step Could Be Messy

Big Technology • 6880 implied HN points • 24 Jan 25
🕹 Technology AI Open Source Startups Investment Competition
  1. A new AI model called DeepSeek is cheaper and efficient, potentially making big investments in AI technology seem unnecessary. This raises questions about how much companies should really spend on AI.
  2. DeepSeek's success is surprising since it was developed in China, challenging the notion that good tech only comes from big investments in the West. Its ability to compete shows that smaller companies can innovate effectively.
  3. This development might shift the AI landscape significantly. Big players like OpenAI may need to rethink their approaches to stay competitive, especially now that cheaper models are proving their worth.

How We Got the Lithium-Ion Battery

Construction Physics • 49690 implied HN points • 29 Nov 24
🕹 Technology Energy Storage Battery technology Research & Development Electronics
  1. The lithium-ion battery is key to many modern technologies like smartphones and electric vehicles. Its high energy density and rechargeable nature make it very useful.
  2. The battery's development took many years and involved multiple researchers from around the world. Many discoveries were made by chance, not through a clear, straight path.
  3. Advancements have made lithium-ion batteries much cheaper and more efficient over time. Innovations in materials and manufacturing have helped lower costs and boost production.

Deep Into the Depths

Atlas of Wonders and Monsters • 339 implied HN points • 27 Feb 25
🕹 Technology AI Research Innovation Computer Science
  1. AI tools have started using the term 'deep' to suggest they dig into more complex information, but this may often not be the case. Many still just skim the surface instead of really exploring.
  2. While AI is getting better at research by gathering information quickly, true deep research requires more human-like exploration and understanding. It's about going beyond just looking up facts.
  3. Don't be fooled by the hype around AI's 'deep research' capabilities. They are useful, but they aren't as profound or groundbreaking as some might claim.

Slashing my ".bashrc" in half

Bite code! • 1834 implied HN points • 20 Feb 25
🕹 Technology Software Programming Development Tools Open Source
  1. Using new tools like Atuin and Starship can make your terminal experience much simpler and faster. They help reduce the size of configuration files like .bashrc while still providing great features.
  2. The rise of Rust has led to better command-line tools that are efficient and user-friendly. These tools replace many old commands and plugins with minimal effort needed from users.
  3. It's okay to stop using some tools or plugins if they aren't effective for your needs. Keeping your setup clean and understandable is more important than having every possible feature.

How to Think About ChatGPT

Holly’s Newsletter • 2916 implied HN points • 18 Oct 24
🕹 Technology Artificial Intelligence Machine Learning Software Development Computing Data science
  1. ChatGPT and similar models are not thinking or reasoning. They are just very good at predicting the next word based on patterns in data.
  2. These models can provide useful information but shouldn't be trusted as knowledge sources. They reflect training data biases and simply mimic language patterns.
  3. Using ChatGPT can be fun and helpful for brainstorming or getting starting points, but remember, it's just a tool and doesn't understand the information it presents.

Nebius Part 1: the Smooth (Developer) Operator

Interconnected • 277 implied HN points • 17 Feb 25
🕹 Technology AI Cloud Computing Developer Tools Investment Tech Companies
  1. Nebius is focused on creating a smooth experience for developers. They make it easy for developers to start using their platform without unnecessary steps, which is important for building cool AI projects.
  2. The company has a strong background thanks to its roots in Yandex, which gives it experience in running cloud services effectively. This experience helps Nebius offer a wide range of cloud solutions, not just GPU rentals.
  3. While some may worry about Nebius's Russian connections, the company has distanced itself from that past. With significant funding and a solid road ahead, it seems ready to grow and succeed free from those burdens.

I'm glad I took the off-ramp from software engineering

Cloud Irregular • 6800 implied HN points • 22 Jan 25
🕹 Technology Software Engineering Career development Artificial Intelligence Tech industry Job Market
  1. A career in software engineering isn't guaranteed to lead to high pay or upward mobility. Many people find that their progress stalls after a certain point.
  2. The rise of AI will significantly change the role of developers, making it less about coding quickly and more about solving human problems and understanding technology's role.
  3. Choosing to step away from traditional software roles can open up new opportunities. It’s important to explore other interests and skills to avoid being trapped in a limiting career path.

AI End Game

Daniel Pinchbeck’s Newsletter • 9 implied HN points • 21 Feb 25
🕹 Technology Artificial Intelligence AGI Surveillance Ethics
  1. We are getting close to achieving Artificial General Intelligence (AGI), which could change everything about how society works. It's important to consider how this might affect people's jobs and overall life.
  2. Some powerful people believe that with AGI, they can gain more control and lessen the need for human workers, which could lead to a society where only a few have the power and wealth. This situation might make many people feel unnecessary and unvalued.
  3. There is a real danger that if we don't act soon to share the benefits of AI fairly, the rich will have control and power over everyone else. If this continues, it could lead to major issues, including attempts to reduce the population.

Back to the Future with Gordon Moore

The Chip Letter • 5897 implied HN points • 28 Jan 25
🕹 Technology Semiconductors AI Innovation Computing Industry Trends
  1. Technology changes rapidly, but some issues, like how to effectively use computing power, seem to stay the same. This means we often find ourselves asking similar questions about the future of tech.
  2. Gordon Moore's insights from years ago still apply today, especially his thoughts on competition and applications for technology. He pointed out the need for practical uses of increased computing power.
  3. Concerns about technology making us 'stupid' remain relevant. However, it's more about using computers without losing understanding of basic principles than about being incapable of learning new skills.

PyIceberg: Current State and Roadmap

Ju Data Engineering Newsletter • 396 implied HN points • 28 Oct 24
🕹 Technology Data Engineering Software Development Big Data Open Source Cloud Computing
  1. Improving the user interface is crucial for more teams to use Iceberg, especially those that use Python for their data work.
  2. PyIceberg, which is a Python implementation, is evolving quickly and currently supports various catalog and file system types.
  3. While PyIceberg makes it easy to read and write data, it has some limitations, especially compared to using Iceberg with Spark, like handling deletes and managing metadata.

Tech journalists that hate tech

Machine Learning Everything • 459 implied HN points • 11 Feb 25
🕹 Technology Journalism Criticism Tech Culture Innovation
  1. Some tech journalists seem to focus only on the negative aspects of technology and businesses. This makes their articles feel less relevant to people who actually care about tech advancements.
  2. Independent tech commentators are becoming more popular because they show a real passion for their subjects. They talk about technology in a way that's exciting and authentic, unlike some critics.
  3. Criticism of tech leaders often lacks balance, focusing only on their flaws without acknowledging their successes or innovations. This one-sided view can lead to a misunderstanding of the tech industry.

Google DeepMind CEO Demis Hassabis: The Path To AGI, LLM Creativity, And Google Smart Glasses

Big Technology • 5754 implied HN points • 23 Jan 25
🕹 Technology Artificial Intelligence Machine Learning Innovation Tech industry Digital Transformation
  1. Demis Hassabis thinks we're still a few years away from achieving AGI, or human-level AI. He mentions that while there's been progress, we still need to develop more capabilities like reasoning and creativity.
  2. Current AI models are strong in some areas but still have weaknesses and can't consistently perform all tasks well. Hassabis believes an AGI should be able to reason and come up with new ideas, not just solve existing problems.
  3. He warns that if someone claims they've reached AGI by 2025, it might just be a marketing tactic. True AGI requires much more development and consistency than what we currently have.

𝗔𝗜 𝗚𝗲𝗼𝗽𝗼𝗹𝗶𝘁𝗶𝗰𝘀 𝗱𝗲𝗯𝗮𝘁𝗲! My conversation with China’s Victor Gao plus a hot take on new essay by Anthropic’s CEO Dario Amodei

Marcus on AI • 4979 implied HN points • 29 Jan 25
🕹 Technology AI Geopolitics Innovation Startups Export Controls
  1. In the race for AI, China is catching up to the U.S. despite export controls. This shows that innovation can thrive under pressure.
  2. DeepSeek suggests we can achieve AI advancements with fewer resources than previously thought. Efficient ideas might trump just having lots of technology.
  3. Instead of just funding big companies, we need to support smaller, innovative startups. Better ideas can lead to more successful technology than just having more money.

The hard thing about building AI applications

Generating Conversation • 140 implied HN points • 27 Feb 25
🕹 Technology AI Software Innovation Product Design User Experience
  1. Good AI should figure things out for you before you even ask. It should make your life easier by anticipating what you need without requiring a lot of input.
  2. Trust is key for AI systems. They should be honest about what they don't know and explain their level of confidence. This helps users rely on them more.
  3. AI should take complex information and boil it down to what's important and easy to understand. It should help you find insights quickly without overwhelming you with details.

On OpenAI's Model Spec 2.0

Don't Worry About the Vase • 985 implied HN points • 21 Feb 25
🕹 Technology AI Machine Learning Software Development Data Ethics Tech Policy
  1. OpenAI's Model Spec 2.0 introduces a structured command chain that prioritizes platform rules over individual developer and user instructions. This hierarchy helps ensure safety and performance in AI interactions.
  2. The updated rules emphasize the importance of preventing harm while still aiming to assist users in achieving their goals. This means the AI should avoid generating illegal or harmful content.
  3. There are notable improvements in clarity and detail compared to previous versions, like defining what content is prohibited and reinforcing user privacy. However, concerns remain about potential misuse of the system by those with access to higher-level rules.

Basic Linear Algebra Subprogramming

arg min • 178 implied HN points • 29 Oct 24
🕹 Technology Computing Mathematics Optimization Data science Algorithms
  1. Understanding how optimization solvers work can save time and improve efficiency. Knowing a bit about the tools helps you avoid mistakes and make smarter choices.
  2. Nonlinear equations are harder to solve than linear ones, and methods like Newton's help us get approximate solutions. Iteratively solving these systems is key to finding optimal results in optimization problems.
  3. The speed and efficiency of solving linear systems can greatly affect computational performance. Organizing your model in a smart way can lead to significant time savings during optimization.

Secret SwiftUI: A practical use of _VariadicView

Jacob’s Tech Tavern • 2842 implied HN points • 10 Feb 25
🕹 Technology Software Programming App Development User Interface Innovation
  1. The \\_VariadicView feature in SwiftUI helps create custom components like flexible tab bars and lists. It's useful for developers wanting more control over their UI elements.
  2. Finding real-world examples for \\_VariadicView can be tough, but it can significantly help in building complex UIs like chat applications.
  3. A specific application of \\_VariadicView is creating a reusable 'ChatList' component that manages scroll inversion, making it easier to handle messaging apps.

What Learning by Doing Looks Like

Construction Physics • 25889 implied HN points • 12 Dec 24
🕹 Technology Engineering Innovation Research Manufacturing Energy
  1. Learning curves show that the more something is produced, the cheaper it gets. This happens because experience helps make production more efficient.
  2. The evolution of polycrystalline diamond drill bits shows that real-world experience is key to improving technology. Companies learned from failures and made better bits over time.
  3. Understanding how different bits work in different rocks was crucial for progress. Customizing the design of drill bits based on experience led to much better drilling performance.

A few charts on where AI adoption is going

Tanay’s Newsletter • 113 implied HN points • 19 Feb 25
🕹 Technology AI Adoption Models Business Consulting
  1. The cost of using advanced AI models has dropped dramatically, making it easier for businesses to experiment and integrate AI into their products. This change opens up new possibilities for reaching millions of users.
  2. Reinforcement learning is proving effective for tasks with clear outcomes, which could lead to better performance of AI models over time. As these models improve, we can expect more widespread use of AI.
  3. The journey to adopting AI takes time, but it's happening faster than past innovations like electricity or telephones. Today, a significant portion of people are regularly using AI tools.

What's new in Svelte: November 2024

The (Unofficial) Svelte JS Newsletter • 19 implied HN points • 01 Nov 24
🕹 Technology Software Frameworks Development Libraries Community
  1. Svelte 5 has been released with new features making coding easier. This includes helpful additions like snippets for filling slots and new DOM properties.
  2. The Svelte community is active with a hackathon called SvelteHack 2024, encouraging developers to create new projects for prizes.
  3. There are many new libraries and tools for Svelte that help build apps more effectively. These resources can boost efficiency and creativity in projects.

‘We Were Wrong’

Magic + Loss • 159 implied HN points • 29 Oct 24
🕹 Technology Internet Media AI Nostalgia Culture
  1. WIRED's first website, HotWired, launched the digital age by covering topics that traditional media missed. It helped introduce many people to the online world.
  2. The internet has evolved into a chaotic space filled with dangers like misinformation, cybercrime, and trolls. This raises the question of whether it was handled well from the start.
  3. Even though WIRED helped shape the internet, it recognizes its role in the problems that have emerged over the years and reflects on how things might have been different.

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.

Deep Research, information vs. insight, and the nature of science

Democratizing Automation • 760 implied HN points • 12 Feb 25
🕹 Technology AI Science Research Innovation Computing
  1. AI will change how scientists work by speeding up research and helping with complex math and coding. This means scientists will need to ask the right questions to get the most out of these tools.
  2. While AI can process a lot of information quickly, it can't create real insights or make new discoveries on its own. It works best when used to make existing scientific progress faster.
  3. The rise of AI in science may change traditional practices and institutions. We need to rethink how research is done, especially how quickly new knowledge is produced compared to how long it takes to review that knowledge.

Defending Open Source AI Against the Monopolist, the Jingoist, the Doomer and the Idiot

Future History • 200 implied HN points • 19 Feb 25
🕹 Technology Open Source AI Innovation Policy Economics
  1. Open source software, like Linux, is crucial for innovation and economic growth. If it were starting today, too many restrictions could hurt its potential.
  2. Different groups, like monopolists and jingoists, try to control technology by spreading fear or misinformation. This can lead to laws that stifle competition and creativity.
  3. It's important to support open source AI to encourage fairness and competition. When more people can innovate, technology can improve everyone's lives.

DeepSeek: What the Headlines Miss

ChinaTalk • 4121 implied HN points • 26 Jan 25
🕹 Technology AI Geopolitics Export Controls Computing
  1. Export restrictions on AI chips only recently started, so it’s too soon to judge their effectiveness. The new chips might still perform well for AI tasks, keeping development ongoing.
  2. DeepSeek's advancements in efficiency show that machine learning can get cheaper over time. It’s possible for smaller companies to do more with less, but bigger companies benefits from these efficiencies too.
  3. The gap in computing power between the US and China is significant. DeepSeek admits they need much more computing power than US companies to achieve similar results due to export controls.

The Mask Comes Off: A Trio of Tales

Don't Worry About the Vase • 2150 implied HN points • 14 Feb 25
🕹 Technology AI Innovation Ethics Safety Regulations
  1. Sam Altman presents an overly optimistic view of AI's future while downplaying its risks. He talks about amazing advancements but doesn't address the potential dangers seriously.
  2. OpenAI claims it can design AI to complement humans instead of replacing them, but that seems unrealistic. Many believe there is no solid plan to prevent job losses caused by AI.
  3. Elon Musk's recent bid for OpenAI's nonprofit is more about raising its value than actually buying it. This move highlights concerns about how AI's future will be managed and whether profit motives will overshadow safety.

AI #103: Show Me the Money

Don't Worry About the Vase • 2374 implied HN points • 13 Feb 25
🕹 Technology AI Software Data Innovation Automation Regulation
  1. The Paris AI Anti-Safety Summit failed to build on previous successes, leading to increased concerns about nationalism and lack of clear plans for AI safety. It's making people worried and hopeless.
  2. Elon Musk's huge bid for OpenAI's assets complicates the situation, especially as another bid threatens to overshadow the original efforts to secure AI's future.
  3. OpenAI is quickly releasing new versions of their models, which brings excitement but also skepticism about their true capabilities and risks.

When Algorithms Come to Your Neighborhood

The Honest Broker • 7513 implied HN points • 17 Jan 25
🕹 Technology Social media Algorithms Online Platforms User Experience
  1. Nextdoor can be useful for getting local alerts, especially in emergencies. However, it might not always provide timely information when you need it.
  2. Many users ignore alerts from apps like Nextdoor because they often send old or irrelevant notifications. This can create a false sense of security and put people at risk.
  3. It's important to question whether the information we receive from neighborhood platforms is reliable. If we learn to overlook their messages, we could miss crucial updates.

Hot take on an AI catfight

Marcus on AI • 6165 implied HN points • 22 Jan 25
🕹 Technology AI Infrastructure National Security Economics Environmental Impact
  1. OpenAI is launching a big project called The Stargate Project, which plans to invest $500 billion to improve AI infrastructure in the U.S. Over the next four years, they hope this will help the country's economy and national security.
  2. Elon Musk is skeptical about the funding and the true financial health of OpenAI. He suggests that previous promises may not hold true and questions whether this project will really benefit the American people.
  3. There are several uncertainties about this project, like whether developing AI will actually be profitable and how it might impact jobs. People worry if the profits will help everyone or just the rich, and if the U.S. can truly keep up with China's advancements in AI.