The hottest Technology Substack posts right now

And their main takeaways
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Top Technology Topics

A Chatbot Coined A Phrase I Really Like. Am I Allowed To Use It?

Singal-Minded • 470 implied HN points • 17 Jun 25
🕹 Technology AI Ethics Research Methods Writing Philosophy Communication
  1. AI can help generate new ideas and phrases that may not have been used before. Sometimes, the phrases created by AI can resonate and feel relevant in discussions.
  2. Using phrases created by AI raises questions about ownership and credit. Writers might wonder if they can use these phrases without considering who actually came up with them.
  3. The phrase 'confirmatory research theater' highlights an important issue in research, where studies might look rigorous but really just confirm what researchers wanted to prove all along.

Spreadsheet, Not Skynet: Microdoses, Not Microprocessors

Brad DeLong's Grasping Reality • 130 implied HN points • 24 Jun 25
🕹 Technology AI Economy Data Innovation Impact
  1. AI tools like GPT are not as powerful as some say; they're more like useful spreadsheets than super intelligent machines. This means their impact on the economy is real but not world-changing.
  2. The benefits of AI on human welfare will be positive but limited. It's important to use AI wisely and not let it distract us.
  3. AI models are great for processing language, but they aren't complex enough to be truly revolutionary. They function similarly to simple input-output machines rather than groundbreaking technologies.

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.

MAMLM as a General Purpose Technology: The Ghost in the GDP Machine

Brad DeLong's Grasping Reality • 130 implied HN points • 24 Jun 25
🕹 Technology Artificial Intelligence Innovation Productivity Data Analysis Economic Impact
  1. Big technology changes, like AI, often take longer to have an impact than we expect. History shows that these changes usually happen in small steps instead of all at once.
  2. The way AI is being used in businesses is growing, with more companies starting to adopt these technologies. This can lead to higher productivity over time.
  3. To really benefit from new technologies like AI, we need patience and creativity in our systems. The changes won't happen overnight, but it's important to stick with it.

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.
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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'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.

Prompting is Managing

Breaking Smart • 125 implied HN points • 19 Jun 25
🕹 Technology AI Management Education Cognition Research
  1. Using AI tools like chatbots is similar to managing interns. It's not about doing the work yourself but overseeing the process.
  2. Focusing on sameness in writing can help maintain quality, but it may also limit creativity. Good management knows when to stick to the rules and when to encourage originality.
  3. We need to change how we teach writing and management skills for the AI era. It’s important to build skills for overseeing new technologies rather than just avoiding them.

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.

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.

PCBs, ground planes, and you

lcamtuf’s thing • 7142 implied HN points • 28 Jan 25
🕹 Technology Electronics Circuit Design Hobbies
  1. Copper pours on PCBs help improve signal quality by providing better pathways for electrical currents. They make it easier for circuits to work well at high speeds.
  2. These copper areas also help reduce radio frequency interference to meet certain regulations. This is important for keeping devices running smoothly and within legal limits.
  3. While using copper pours can make PCB design easier, it's essential to be careful. Poorly executed layouts can create problems, especially in high-speed projects.

UI is hell: four-function calculators

lcamtuf’s thing • 8570 implied HN points • 23 Jan 25
🕹 Technology Interface Design User Experience History
  1. Basic calculators seem simple, but designing their interface is really tricky. Many small rules affect how they operate.
  2. Users often expect calculators to follow straightforward rules, but calculators can behave unexpectedly based on their design. This can lead to confusion when doing simple calculations.
  3. Calculator design has evolved over time, but some quirks and confusing features remain. Understanding these can help users use them more effectively.

HOISTED FROM COMMENTS: RAFAEL KAUFMANN: Carving Nature at the Joints: Faithful Representation, the Platonic Dream, & the Unreasonable Near-Success of GPT LLM MAMLMs

Brad DeLong's Grasping Reality • 69 implied HN points • 25 Jun 25
🕹 Technology AI Machine Learning Philosophy Data science Automation
  1. Machines, like large language models, can imitate human language because they find patterns hidden in how we express ourselves. They simplify the chaos of our words into something easier to understand.
  2. Even though these models are good at predicting responses, they struggle with truly understanding the world. They can replicate language well, but grasping the deeper meaning remains a challenge.
  3. The hope is that with better training and understanding causal relationships, these models could evolve to not only imitate but truly comprehend the world around them.

The Sequence Opinion #662: From Words to Worlds: Some Observations About World Models

TheSequence • 77 implied HN points • 12 Jun 25
🕹 Technology Artificial Intelligence Machine Learning Cognition Robotics
  1. LLMs are great with words, but they struggle with understanding and acting in real-life environments. They need to develop spatial intelligence to navigate and manipulate the world around them.
  2. Spatially-grounded AI can create internal models of their surroundings, which helps them operate in real spaces. This advancement represents a big step forward in general intelligence for AI.
  3. The essay discusses how new AI designs focus on spatial reasoning instead of just language, emphasizing that understanding the physical world is a key part of being intelligent.

More nuggets on BYD ADAS

TP’s Substack • 6 implied HN points • 24 Feb 25
🕹 Technology Automotive Artificial Intelligence Data science Hardware Software
  1. BYD chose a specific chip setup for its DiPilot-100 platform that supports advanced technology better than other options. They prioritized overall performance and future needs rather than just the highest computing power.
  2. The company collects a large amount of driving data daily, which helps constantly improve its ADAS technology. While it's still behind Tesla’s FSD, BYD's hardware is getting better and offers a good range for detection.
  3. BYD is focusing on reducing costs by developing its own chips and increasing production efficiency. This strategy will help them expand smart car technology to more vehicles and compete effectively in the market.

Investigating an "evil" RJ45 dongle

lcamtuf’s thing • 10815 implied HN points • 17 Jan 25
🕹 Technology Hardware Security Software Networking Malware
  1. Claims of widespread supply-chain attacks are often exaggerated. It's usually easier to steal passwords or trick people into downloading malware instead.
  2. The investigation revealed that the 'evil' RJ45 dongle was actually just a routine device with a self-extracting driver, not a malicious tool.
  3. It's good to stay cautious about hardware from unknown sources, but for most home users, this type of device is likely safe enough.

Immortality and its Discontents

Nonzero Newsletter • 225 implied HN points • 28 Feb 25
🕹 Technology AI Health Philosophy Politics Innovation
  1. There's a growing interest in immortality and how technology, like AI, could help us live longer. Some people believe that embracing these advancements is the key to a better future.
  2. Not everyone agrees with how some tech entrepreneurs are promoting longevity. Critics say their methods and products are often unproven and may not lead to the promised health benefits.
  3. Studies show that bad behavior learned in one area can spread to other areas, especially with AI. Just like in humans, training AI on negative examples can lead to undesirable outcomes in different contexts.

Make your social apps pop with LinkPresentation

Jacob’s Tech Tavern • 874 implied HN points • 18 Feb 25
🕹 Technology Software Apps Development User Experience Design
  1. You can easily improve your social apps by adding better link previews. This makes sharing more visually appealing and user-friendly.
  2. Building support for hyperlink features in your app can be quick and simple. Many times, you can get it done during a lunch break.
  3. If you're in a fast-paced environment, it's often easier to create a proof of concept and refine it later. Don't be afraid to just jump in and start making changes.

The Sequence Engineering #661: Create Your Own Deep Research Agent with DeerFlow

TheSequence • 119 implied HN points • 11 Jun 25
🕹 Technology Software AI Automation Research Development
  1. DeerFlow is an open-source tool that helps automate research tasks. It uses multiple agents to make research faster and easier.
  2. The framework can do many tasks, like searching the web and creating reports, with little help from people. This makes it very efficient.
  3. It's designed for developers and engineers who want to build research systems that can grow and adapt easily.

The Impact of the Calibration Dataset for AutoRound and AWQ Quantization

The Kaitchup – AI on a Budget • 39 implied HN points • 31 Oct 24
🕹 Technology AI Data science Machine Learning Quantization Model optimization
  1. Quantization helps reduce the size of large language models, making them easier to run, especially on consumer GPUs. For instance, using 4-bit quantization can shrink a model's size by about a third.
  2. Calibration datasets are crucial for improving the accuracy of quantization methods like AWQ and AutoRound. The choice of the dataset impacts how well the quantization performs.
  3. Most quantization tools use a default English-language dataset, but results can vary with different languages and datasets. Testing various options can lead to better outcomes.

Me an' Algernon

Software Design: Tidy First? • 1745 implied HN points • 10 Jun 25
🕹 Technology Software Mental health Neurology Cognitive Science Programming
  1. Cognitive decline can be hard to deal with. It can affect your daily life, work, and relationships.
  2. Getting a clear diagnosis is important, even if it doesn't provide all the answers. It can help you understand your situation better.
  3. Sharing your struggles can help others who may be going through similar issues. It's okay to seek help and adapt to new challenges.

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.

The Lamplighter Problem

Jeff Giesea • 718 implied HN points • 22 Oct 24
🕹 Technology AI Automation Labor Economy Politics
  1. AI is likely to displace a huge number of jobs, similar to how lamplighters lost their roles when electric lights came in. We need to prepare for these changes now to help people transition to new work.
  2. The Lamplighter Problem shows us that job loss due to automation is not just an economic issue but also a political and social one. If we don’t address it, it could lead to bigger problems in society.
  3. There are different opinions on how to handle the rise of AI. Some people think we should slow down and reconsider, while others want to speed up its development. We need to find a balanced approach that helps everyone.

Talkin’ bout an AI Revolution: 3 scenarios

Faster, Please! • 365 implied HN points • 26 Feb 25
🕹 Technology AI Innovation Economics Forecasting Trends
  1. By 2030, we might still be at the start of a major AI development period. It's okay because this means we have a lot of exciting advancements ahead.
  2. More traditional institutions, like big banks, are now seriously talking about AI. This shows that AI is becoming a big deal in the mainstream world, not just in tech circles.
  3. Experts believe that as AI keeps getting better, the 2020s could see various new economic and technological changes. This could change how we live and work in many ways.

A Visual Guide to Mixture of Experts (MoE)

Exploring Language Models • 3289 implied HN points • 07 Oct 24
🕹 Technology Artificial Intelligence Machine Learning Data science Neural Networks Computational Models
  1. Mixture of Experts (MoE) uses multiple smaller models, called experts, to help improve the performance of large language models. This way, only the most relevant experts are chosen to handle specific tasks.
  2. A router or gate network decides which experts are best for each input. This selection process makes the model more efficient by activating only the necessary parts of the system.
  3. Load balancing is critical in MoE because it ensures all experts are trained equally, preventing any one expert from becoming too dominant. This helps the model to learn better and work faster.

How Anthropic Builds Claude’s Personality

Big Technology • 2877 implied HN points • 29 May 25
🕹 Technology AI Chatbots Ethics Research Innovation
  1. Anthropic builds its chatbot, Claude, to have a personality similar to a friendly traveler. This means it tries to be open and adaptable when talking to different people.
  2. Instead of strict rules, Claude's behavior is based on a set of qualities, like kindness and wit, that should naturally show in all its conversations.
  3. The chatbot's personality is fine-tuned after training by using examples of what good conversation looks like, guiding it to respond in ways that reflect the desired traits.

Hello, Apple Intelligence (Or Just Grammarly with a Few Extra AI Features)

Artificial Corner • 158 implied HN points • 29 Oct 24
🕹 Technology AI Tools Software User Experience Product Review
  1. Apple Intelligence features are mostly focused on writing tools and photo editing, but many expected more advanced AI capabilities. Users may find it similar to Grammarly rather than a fully developed AI assistant.
  2. The new updates for Siri are not as transformative as anticipated. Many promised features are still missing, making it feel like users are getting a version of the old Siri rather than a revamped one.
  3. Some standout features include writing tools for proofreading and summarization, smart replies for emails and messages, and a cleanup option for photos, which enhance user experience but may not be enough for those looking for advanced AI functions.

bitnet.cpp: Efficient Inference with 1-Bit LLMs on your CPU

The Kaitchup – AI on a Budget • 179 implied HN points • 28 Oct 24
🕹 Technology Artificial Intelligence Software Development Machine Learning Open Source Data science
  1. BitNet is a new type of AI model that uses very little memory by representing each parameter with just three values. This means it uses only 1.58 bits instead of the usual 16 bits.
  2. Despite using lower precision, these '1-bit LLMs' still work well and can compete with more traditional models, which is pretty impressive.
  3. The software called 'bitnet.cpp' allows users to run these AI models on normal computers easily, making advanced AI technology more accessible to everyone.

We're Losing the Battle Against AI

Writerly Things with Brooke Warner • 1924 implied HN points • 13 Oct 24
🕹 Technology AI Impact Digital ethics
  1. The Authors Guild and Created by Humans are teaming up to fight against the risks AI poses to writers and their work. They want to find ways to make sure AI companies pay for the content they use.
  2. There’s a new badge for books that are 'human authored' to help readers know that real people created the content. This move emphasizes transparency and aims to distinguish between human and AI-generated works.
  3. Many in the writing community feel overwhelmed by the AI threat, but actions taken by organizations like the Authors Guild are small steps in a much larger battle for creative rights and standards in publishing.

Open Thread 383

Astral Codex Ten • 1858 implied HN points • 26 May 25
🕹 Technology AI Ethics Meetups Online Courses Rationalism
  1. There's an open thread where you can talk about anything or ask questions. It’s a place for free conversation.
  2. Meetups are happening around the world, including one in London this week. It’s a good chance to connect with others.
  3. There are several upcoming conferences and courses related to AI and safety. You can get involved and learn more about important topics.

The End of Simplification: Intel Abandons X86S

The Chip Letter • 2402 implied HN points • 05 Jun 25
🕹 Technology Computing Semiconductors Software Engineering Innovation
  1. Intel has introduced APX, which includes several new features to improve its architecture. This means that Intel is aiming to enhance performance and efficiency.
  2. The company planned to simplify its architecture by removing some older features with X86S. However, they decided to abandon this simplification due to the importance of maintaining backward compatibility.
  3. Backwards compatibility is essential, as it allows older software to run on new systems. This decision shows Intel's commitment to supporting their users and legacy applications.

xAI and DeepSeek Have Shattered the AI Industry’s Golden Tenet

The Algorithmic Bridge • 297 implied HN points • 26 Feb 25
🕹 Technology AI Software Innovation Industry Infrastructure
  1. AI is going through ups and downs, with some people losing trust because the hype isn't matching reality. But just like with other big inventions, these struggles are normal.
  2. There's a debate in the AI community about whether the focus should be on building more powerful models or making them work better in real life. Each approach has its supporters.
  3. Even with AI's growth, some people are still worried about its impact on their daily lives, emphasizing the need to balance development with public concerns.

Claude Plays Pokémon

Teaching computers how to talk • 62 implied HN points • 28 Feb 25
🕹 Technology AI Gaming Research Metrics Innovation
  1. AI playing games like Pokémon can show us how smart it really is. It might be better than other tests because games need quick thinking and problem solving.
  2. Recent projects like Claude playing Pokémon on Twitch highlight how slow and confused current AI can be. It took Claude a long time to beat just one part of the game.
  3. Today's AI tests often focus on math or coding, but playing games might give a clearer picture of intelligence. We should use games to see if AI can think and adapt like humans do.

The Tech Barons have a blueprint drawn in crayon. They have not thought any of this through.

The Future, Now and Then • 471 implied HN points • 16 Feb 25
🕹 Technology Blockchain Cryptocurrency Innovation Internet Governance
  1. The concept of a 'network state' is about online communities using blockchain to create their own governments, but it seems unrealistic and poorly thought out.
  2. Balaji Srinivasan, the author, doesn't fully understand what a government should do or the difference between communities and states, focusing instead on tech and crypto ideas.
  3. Despite the book's flaws, it's important to recognize that wealthy tech leaders are taking these ideas seriously, which could pose real risks to society.

What does slow AI look like?

The Sublime Newsletter • 1941 implied HN points • 12 Oct 24
🕹 Technology AI Productivity Software Human-Computer Innovation
  1. People often feel stressed because productivity tools are designed to make us work faster, but that doesn't match how we naturally want to create things.
  2. Instead of rushing to produce more content quickly, we should focus on making fewer things but doing them better and with more care.
  3. It's okay to take time in the creative process; in fact, taking time can help us create something truly wonderful.

What would a $2,000-a-month ChatGPT look like?

Enterprise AI Trends • 168 implied HN points • 19 Feb 25
🕹 Technology AI Software Pricing Enterprise Markets
  1. The future of AI will see two main pricing categories: low-end for general users and high-end for specialized, enterprise-focused users. There's not much room in the middle.
  2. High-end AI products will need to be built on strong industry knowledge and proprietary data to be successful. This means startups might struggle to compete.
  3. AI companies can charge a lot because their products provide immense value in competitive fields, where even a small advantage can lead to big profits.

JailBreak Protection on iOS

Jacob’s Tech Tavern • 2624 implied HN points • 04 Feb 25
🕹 Technology Mobile Security Software Development Internet
  1. Jailbreaking on iOS means exploiting security flaws to gain more control over the device. This allows users to install apps outside of Apple's approval process and customize their phones more freely.
  2. While jailbreaking can be fun, it can also make devices less secure. People can easily install tools that can read private app data, leading to security risks.
  3. Developers should consider adding jailbreak protection to their apps. This helps safeguard sensitive information and prevents unauthorized access, keeping both the app and user safer.