The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Efficient Computer's Electron E1 CPU

More Than Moore • 653 implied HN points • 24 Jul 25
đź•ą Technology Computing Hardware Startups Innovation Embedded Systems
  1. The Electron E1 CPU by Efficient Computer uses a unique design that aims to be much more energy-efficient than traditional chips. It does this by changing how data moves and is processed, reducing energy waste.
  2. This CPU has a special architecture called 'Fabric' that lets data flow directly between computing nodes. This design is supposed to save a lot of energy that typical CPUs lose moving data around.
  3. Efficient Computer believes their chip could be 10 to 100 times more efficient than the best ARM CPUs. However, until more independent tests are done, it's hard to say how well it’ll really perform in the real world.

How does Uber handle petabytes of Spark shuffle data every day?

VuTrinh. • 159 implied HN points • 22 Jun 24
đź•ą Technology Data Engineering Big Data Cloud Computing Software Development Distributed Systems
  1. Uber uses a Remote Shuffle Service (RSS) to handle large amounts of Spark shuffle data more efficiently. This means data is sent to a remote server instead of being saved on local disks during processing.
  2. By changing how data is transferred, the new system helps reduce failures and improve the lifespan of hardware. Now, servers can handle more jobs without crashing and SSDs last longer.
  3. RSS also streamlines the process for the reduce tasks, as they now only need to pull data from one server instead of multiple ones. This saves time and resources, making everything run smoother.

BBNs Toward Universal Fabricators

FreakTakes • 15 implied HN points • 19 Feb 26
đź•ą Technology Biotechnology Materials science Protein engineering
  1. Proteins can be engineered to act as “universal fabricators” that assemble materials with molecular precision, opening the door to new classes of electronic, energy, and structural materials beyond today’s manufacturing methods.
  2. Small, interdisciplinary Frontier Research Contractor (BBN/FRC) teams—combining protein engineers, soft-matter experts, mineralization specialists, and process engineers—are the right organizational form to iterate quickly from sequence to macroscopic, functional assemblies.
  3. Building this vision requires infrastructure partners that scale protein production and rapid metrology, and those supplier FRCs can be commercially viable by serving multiple industries while accelerating the core materials programs.

Import AI 364: Robot scaling laws; human-level LLM forecasting; and Claude 3

Import AI • 519 implied HN points • 11 Mar 24
đź•ą Technology AI Robots Generative models Biology
  1. Scaling laws are transforming the world of robotics - more data, bigger context windows, and more parameters in models lead to significant improvements quickly.
  2. Advancements in AI forecasting show that language models can match human capabilities in predicting binary outcomes, suggesting a future of accurate forecasting by AI systems.
  3. New datasets like Panda-70M for video captioning and models like Evo for biological predictions are pushing the boundaries of AI and demonstrating the power of generative models in various domains.

How to Be a 30x AI Engineer with a Taste

Pratik’s Pakodas 🍿 • 10 implied HN points • 19 Feb 26
đź•ą Technology Software Engineering AI Product Strategy Architecture Developer Tools Careers User Experience
  1. Taste — the ability to evaluate work, choose what to build, and foresee what will matter — is now the most valuable engineering skill because AI can generate code itself.
  2. Engineers with strong taste make compounding decisions about product, architecture, and quality that drive outsized impact and pay, and that depends on adjacent skills like product thinking, user empathy, and clear communication.
  3. Taste can be developed deliberately through practice: study great products and papers, do side-by-side critiques, prototype rapidly, and run projects like evaluation rubrics, onboarding redesigns, or timeboxed product builds to train recognition, compass, and vision.
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Password Storage

ciamweekly • 62 implied HN points • 12 Jan 26
đź•ą Technology Security Authentication Cryptography Software Cloud Data Storage
  1. Never store passwords in plain text or as reversible encrypted values; use a one-way password hashing algorithm (for example Argon2 or PBKDF2) chosen for your security and performance needs.
  2. Use a unique random salt per user and a tunable work factor (iterations/memory) that you increase over time as hardware improves, and consider adding a pepper stored separately for extra protection.
  3. Encrypt your database at rest as part of defense in depth, and remember hashed passwords are non-recoverable so you can verify passwords but not retrieve the plaintext.

Innovation Job Market Papers 2025 (1/2)

New Things Under the Sun • 96 implied HN points • 24 Dec 25
đź•ą Technology Innovation R&D Startups Patents Trade Mergers Policy
  1. How firms are organized and how markets are structured strongly shape what and where innovation happens: design choices, mergers, venture funding, ownership patterns, and hiring networks all change firms’ incentives and their ability to innovate.
  2. Policies and external forces steer innovation incentives and diffusion: trade exposure, intellectual property rules, PhD programs, regulation of acquisitions, and shocks like extreme heat shape both the quantity and direction of technological change.
  3. Knowledge dynamics—recombination, spillovers, and evaluation—drive growth but create frictions: combining existing ideas fuels much innovation, spillovers make private returns fall short of social returns, and testability or weak exit markets can limit which ideas and startups capture value.

HashMap is a Data Structure every SWE should know.

System Design Classroom • 239 implied HN points • 24 May 24
đź•ą Technology Software Data Structures Algorithms Computer Science Development
  1. Hashmaps are useful for storing data by connecting unique keys to their values, making it easy to find and retrieve information quickly.
  2. When two different keys accidentally produce the same hash code, it's called a collision. There are ways to handle this, like chaining and open addressing.
  3. Hashmaps can do lookups, insertions, and deletions really fast, usually in constant time, but they can slow down if too many items cause collisions.

The Hadoop Distributed File System

VuTrinh. • 259 implied HN points • 18 May 24
đź•ą Technology Data Storage Cloud Computing Big Data Software Architecture
  1. Hadoop Distributed File System (HDFS) is great for managing large amounts of data across many servers. It ensures data is stored reliably and can be accessed quickly.
  2. HDFS uses a NameNode that keeps track of where data is stored and multiple DataNodes that hold actual data copies. This design helps with data management and availability.
  3. Replication is key in HDFS, as it keeps multiple copies of data across different nodes to prevent loss. This makes HDFS robust even if some servers fail.

Top Links 813 How AI is eating the internet. Where to buy an affordable American-badged car. The G7 horror show & subjectivity in language.

Chartbook • 600 implied HN points • 29 Jul 25
đź•ą Technology AI Internet Digital Media Search Consumer Tech
  1. AI is changing how we search for information online. It's making it harder to find what we really want.
  2. People are looking for more affordable American-made cars. There are options out there that fit different budgets.
  3. There are important discussions happening about language and its meaning in the context of recent G7 events. It's shaping how we think and communicate.

February Newsletter

RSS DS+AI Section • 29 implied HN points • 01 Feb 26
đź•ą Technology Artificial Intelligence Machine Learning Data science AI Ethics Research Applications Open Source
  1. AI misuse and ethical risks are increasing — deepfakes, automated exploit generation, bias, and job impacts mean security, fairness, and regulation need urgent attention.
  2. Research is advancing rapidly across many fronts, including model consistency, memory/lookup mechanisms, test-time training, decentralized and open-source models, and early work on AI systems that can improve themselves.
  3. Practical resources and community activity are abundant, with tutorials, benchmarks, tools, academic outlets, and job opportunities helping practitioners deploy AI responsibly and learn new skills.

Meet the Team Bringing AI Agents to Minecraft

A16Z GAMES • 439 implied HN points • 29 Mar 24
đź•ą Technology AI Gaming Startups Innovation
  1. Altera is developing AI agents for Minecraft that can interact autonomously and learn from player interactions.
  2. The team at Altera, including MIT PhDs and ex-Google AI engineers, aims to create agents with episodic memory and the ability to set their own goals.
  3. Altera's long-term goal is to expand their AI agents to other games like Roblox and integrate their technology with game engine SDKs for wider developer use.

The AI Conversations That Shaped 2023

Gradient Flow • 878 implied HN points • 28 Dec 23
đź•ą Technology AI Machine Learning Data science Podcasts Books
  1. AI and machine learning advancements in 2023 sparked vibrant discussions among developers, focusing on topics like large language models, infrastructure, and business applications.
  2. Technology media shifted its focus to highlight rapid AI advancements, covering diverse AI applications across industries while also addressing concerns about deepfakes and biases in AI systems.
  3. The book 'Mixed Signals' by Uri Gneezy was named the 2023 Book of the Year, offering insights on how incentives shape behavior in AI, technology, and business, with a focus on aligning incentives with ethical values.

A Tech Interview that Doesn't Suck

Jacob’s Tech Tavern • 2186 implied HN points • 02 Dec 24
đź•ą Technology Software Engineering Hiring Interviews Skills
  1. Hiring great team members is really important because it affects everyone's work speed. Good hires help the team, while bad ones slow everyone down.
  2. Many tech companies rely on LeetCode tests to screen candidates, but this method might not show true skills. There could be better ways to assess coding abilities.
  3. Finding a more effective hiring process can improve how companies choose candidates, leading to better outcomes for teams. It's all about making informed decisions.

The Technological Revolution that could Supercharge the World's Batteries

Material World • 1783 implied HN points • 26 Jan 25
đź•ą Technology Batteries Innovation Electronics Materials Engineering
  1. Silicon carbon batteries are exciting because they can store more energy and charge faster than regular graphite batteries. This means better battery life for smartphones and even electric cars.
  2. The challenge with silicon anodes is that they swell a lot when charging, which can damage the battery. Scientists are working to find ways to manage this problem.
  3. While silicon is promising, it's still a new technology and can be expensive. For now, it's often used alongside traditional materials to improve battery performance.

Forthcoming Book, Latest Interviews, and AI Armageddon

SINGULARITY WEEKLY • 1356 implied HN points • 02 Apr 23
đź•ą Technology AI Digital Interviews Book Ethics
  1. There are concerns about the risks and impact of advanced AI technology on society.
  2. Multiple experts are calling for a halt to the development of powerful AI systems due to potential negative consequences.
  3. The rapid advancement of AI technology is causing panic and hysteria as global leaders struggle to address the potential threats posed by AI.

Open Thread 311

Astral Codex Ten • 5574 implied HN points • 15 Jan 24
đź•ą Technology AI AI Alignment Machine Learning
  1. Weekly open thread for discussions and questions on various topics.
  2. AI art generators still have room for improvement in handling tough compositionality requests.
  3. Reminder about the PIBBSS Fellowship, a fully-funded program in AI alignment for PhDs and postdocs from diverse fields.

Bazel and action (non-) determinism

Blog System/5 • 661 implied HN points • 21 Jul 25
đź•ą Technology Software Engineering Development Build Systems Programming
  1. Bazel builds need to be deterministic to avoid issues. If builds aren't consistent, they can fail unexpectedly, making it hard to trust the system.
  2. Non-determinism in builds can come from various sources like timestamps, random data, or changes in environment. It's important to identify and manage these to ensure reliable builds.
  3. To prevent non-determinism, use controlled environments and keep settings consistent across machines. This includes managing toolchains and avoiding network access that could introduce variability.

The Revolution will not be Personalised: OpenAI's Sora, Apple Vision Pro and The End of Democracy

The Bigger Picture • 619 implied HN points • 16 Feb 24
đź•ą Technology AI Augmented reality Politics Psychology Personalization
  1. AI and augmented reality technologies like OpenAI's Sora and Apple Vision Pro are shaping a future of highly personalized experiences tailored to individual desires.
  2. The rise of personalization in society, from technology to politics, reflects a deep-rooted belief in tailoring the world to meet one's own preferences for happiness and fulfillment.
  3. As we navigate a landscape of increasing personalization, it's crucial to question the impact on subjectivity, societal norms, and our relationship with the world around us.

You should build your own eval tools, pretty much always

The Hypernatural Blog • 16 HN points • 09 Sep 24
đź•ą Technology AI Tools Video Production Model Evaluation Generative models User Experience
  1. Building your own evaluation tools early can greatly improve your product's quality. It's easier than you think and pays off in the long run.
  2. For complex systems, off-the-shelf tools may not fit well. Creating custom tools helps you better understand and improve system performance.
  3. Using real-world examples in your evaluations leads to better outcomes. Make sure to test how changes affect actual user experiences.

AI #98: World Ends With Six Word Story

Don't Worry About the Vase • 1881 implied HN points • 09 Jan 25
đź•ą Technology Artificial Intelligence Machine Learning Data science Automation Digital Transformation
  1. AI can offer useful tasks, but many people still don't see its value or know how to use it effectively. It's important to change that mindset.
  2. Companies are realizing that fixed subscription prices for AI services might not be sustainable because usage varies greatly among users.
  3. Many folks are worried about AI despite not fully understanding it. It's crucial to communicate AI's potential benefits and reduce fears around job loss and other concerns.

27 Unique Dev Challenges: A Recent Study Explored the Top Challenges Faced by LLM Developers

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 20 Aug 24
đź•ą Technology AI Development API Integration Data Management Security Issues
  1. Developers face many challenges when working with large language models (LLMs), including issues with API calls and integrating them into existing systems.
  2. Common problems also involve managing large datasets and ensuring data privacy and security while using LLMs for tasks like text generation.
  3. Understanding unpredictable outputs from LLMs is essential, as it affects the reliability and performance of applications built with these models.

Vote for the August 2025 + Post Topic

Computer Ads from the Past • 512 implied HN points • 20 Aug 25
đź•ą Technology Computers Advertising Media History Digital Culture
  1. It's time to vote on the topic for the next post. Everyone gets a say in what content should be covered.
  2. There are various historical computer ads up for discussion. These ads show how technology has changed over time.
  3. Free subscribers can try out the service for a week. This gives them a chance to see more content and consider a paid subscription.

After Musk’s Lawsuit, No More Illusions About OpenAI

Big Technology • 4753 implied HN points • 08 Mar 24
đź•ą Technology AI Legal Business Companies Innovation
  1. Elon Musk's lawsuit against OpenAI revealed that the company's open promise was more of a ploy for recruitment than a true dedication to open-source.
  2. OpenAI's deal with Microsoft has created a situation where it must balance being close to AGI for profits while keeping its research proprietary, as Musk's lawsuit claims AGI has been reached.
  3. Musk's case against OpenAI showcases his concerns about Google's AI advancements and his efforts to shape the narrative around his relationship with OpenAI.

AI Is Making Us Smarter

Justin E. H. Smith's Hinternet • 725 implied HN points • 29 Jun 25
đź•ą Technology AI Cognition Information Learning Human machine
  1. AI is changing the way we learn and think, helping us access and absorb more information quickly. This means our ability to understand and process knowledge is growing.
  2. There's a belief that we, as humans, are becoming smarter thanks to our interactions with AI. It's not just machines getting smarter; we are evolving in our thinking too.
  3. The rise of AI makes it feel like we're entering a new age of intelligence, where our minds can integrate vast amounts of knowledge more effectively than ever before.

humans vs machines: who's better at predicting 2026? (spoiler: probably neither, we all missed Venezuela)

Five Links (and three graphs) by Auren Hoffman • 56 implied HN points • 15 Jan 26
đź•ą Technology Artificial Intelligence Machine Learning Forecasting Prediction Markets Automation Data science
  1. A public prediction game pitted humans against three AIs and laid out ten bets for 2026 across health, geopolitics, economy, and AI impact.
  2. The AIs showed very different strategies — ChatGPT was strongly contrarian, Claude hedged cautiously, and Gemini bet optimistically — highlighting divergent machine reasoning.
  3. Both humans and AIs missed a major development in Venezuela, reminding us that experts and models alike can have big blind spots even after modest collective gains in prior years.

The ads are coming

benn.substack • 920 implied HN points • 23 May 25
đź•ą Technology AI Data Privacy Advertising Computing Software Development
  1. Companies are great at tracking what we do online to learn what we like. They use that info to sell us things, often in sneaky ways.
  2. AI is getting better at understanding our conversations and wants. This could lead to new ways for companies to target us with ads while we interact with their services.
  3. As AI improves, we might willingly share more personal data because we value the services we get in return, making it easier for companies to sell us even better-targeted advertisements.

Drones

Caitlin’s Newsletter • 1988 implied HN points • 22 Dec 24
đź•ą Technology Drones Surveillance AI Military Consumer Tech
  1. Drones are increasingly present in our lives, taking over both our skies and our privacy. It's unsettling how they surveil us and even interfere with our daily routines.
  2. Drones are being used in war zones in disturbing ways, like using sound to draw civilians out of hiding. This raises concerns about ethics and humanity in warfare.
  3. The rise of drones signifies a shift from nature to technology in our environment. This change is affecting our connection to the natural world and what it means to be human.

Resilient Cyber Newsletter #10

Resilient Cyber • 39 implied HN points • 20 Aug 24
đź•ą Technology Cybersecurity AI Software Development Vulnerability Management Cloud Computing
  1. Security tool sprawl is increasing in organizations, with many now using 70 to 90 different tools, making it harder to manage effectively.
  2. AI can speed up fixing coding vulnerabilities, but many AI-generated codes can be insecure, requiring careful checking by developers.
  3. Understanding systems and processes is key to tackling the complexities of cybersecurity, rather than blaming external forces for challenges in job applications.

Why No Japanese Sequencing Companies?

ASeq Newsletter • 36 implied HN points • 03 Feb 26
đź•ą Technology Biotech Genomics Proteomics Diagnostics Startups Manufacturing Semiconductors
  1. Japan has deep expertise and built many key components for sequencing — from contributions to the Human Genome Project to ISFET sensing and imaging sensors — yet it has produced almost no homegrown DNA or protein sequencing companies.
  2. Possible reasons include a lack of strong domestic genome centers and expert customers, structural problems with the startup ecosystem, and past institutional missteps that discouraged local product development.
  3. The shift toward clinical, sample-to-answer sequencing and the still-open field of protein sequencing are clear opportunities Japan could exploit with its research and manufacturing strengths, and funding startups would build domestic talent and capability even if many ventures fail.

DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs

Democratizing Automation • 1717 implied HN points • 21 Jan 25
đź•ą Technology Artificial Intelligence Machine Learning Open Source Data science Reinforcement Learning
  1. DeepSeek R1 is a new reasoning language model that can be used openly by researchers and companies. This opens up opportunities for faster improvements in AI reasoning.
  2. The training process for DeepSeek R1 included four main stages, emphasizing reinforcement learning to enhance reasoning skills. This approach could lead to better performance in solving complex problems.
  3. Price competition in reasoning models is heating up, with DeepSeek R1 offering lower rates compared to existing options like OpenAI's model. This could make advanced AI more accessible and encourage further innovations.

Amazon Anthropic: Poison Pill or Empire Strikes Back

SemiAnalysis • 6667 implied HN points • 02 Oct 23
đź•ą Technology AI Cloud Computing Machine Learning Artificial Intelligence
  1. Amazon and Anthropic signed a significant deal, with Amazon investing in Anthropic, which could impact the future of AI infrastructure.
  2. Amazon has faced challenges in generative AI due to lack of direct access to data and issues with internal model development.
  3. The collaboration between Anthropic and Amazon could accelerate Anthropic's ability to build foundation models but also poses risks and challenges.

Monthly Roundup #25: December 2024

Don't Worry About the Vase • 1971 implied HN points • 23 Dec 24
đź•ą Technology AI Social media Quantum Computing Tech Products Innovation
  1. AI developments have rapidly advanced recently, with major releases from companies like Google and OpenAI, indicating significant changes ahead.
  2. Many people struggle to distinguish between predictions and assurances, leading to costly misunderstandings in planning and decision-making.
  3. The emergence of competing social media platforms, such as BlueSky, shows that users are seeking alternatives amid frustrations with existing sites like Twitter.

Getting started with AI: Good enough prompting

One Useful Thing • 2199 implied HN points • 24 Nov 24
đź•ą Technology AI Software Innovation Education Workplace
  1. Most people struggle to use AI correctly because they treat it like a search engine. Instead, it works better when you give it detailed tasks and prompts.
  2. Getting to know AI takes time; spending about 10 hours using it can help you figure out what it can do for your work or daily tasks.
  3. Think of AI as a patient coworker who forgets everything after each chat. Be clear about what you want, ask for many variations, and have a conversation to get the best results.

Revenge of the Dilettantes

Breaking Smart • 98 implied HN points • 20 Dec 25
đź•ą Technology AI Publishing Creativity Art Robotics Tools Communities
  1. AI makes bespoke, one-off publishing and media workflows cheap and practical, so creators can publish essays, books, and artworks in custom formats instead of forcing them into standard platforms.
  2. AI tools empower dilettantes to be full‑stack creators, letting casual generalists produce art, code, and even robotics projects without needing deep craft mastery.
  3. AI transforms reading and learning by supercharging book clubs and study groups, enabling faster, deeper exploration, translation, and research that turns casual reading into sustained study.

Under the microscope: Ford Racing 3 (PlayStation 2, Xbox)

Rings of Saturn • 72 implied HN points • 09 Jan 26
đź•ą Technology Reverse Engineering Video Games Software Emulation Debugging Tools Programming
  1. The commonly posted cheat codes for Ford Racing 3 are wrong, but there is a working unlock-all code: hold Select at the main menu and enter Up, Down, Left, Right, Left, Down, Up, Right, Down, Up to unlock all cars, competitions, and race types.
  2. Static analysis with Ghidra (using the Emotion Engine plugin) found the game's cheat tracker and showed it watches a 10-button sequence only while Select is held, triggering the unlock when the counter reaches ten.
  3. There is a second intended cheat (Down x10) that is present but points to a null function so it does nothing, and the Nintendo DS port doesn’t appear to include any cheats.

Mourning for GPT-4o Boyfriends + Beijing Hates the H20?

ChinaTalk • 504 implied HN points • 15 Aug 25
đź•ą Technology AI Computing Cybersecurity Automation Media
  1. China is worried about foreign chips, especially Nvidia's H20 GPUs, and suspects they might have hidden surveillance features. They think these chips could jeopardize their security and want to promote local alternatives.
  2. Many people in China are emotional about losing access to GPT-4o, a version of an AI they felt connected to. They believe new versions lack the warmth and emotional depth they valued in older models.
  3. Chinese state media is calling out local electric vehicle makers for their poor safety in testing. This is surprising since state media often praises domestic products, but it shows they want to improve industry standards.