The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Who does what and how to support them

Leading Developers • 125 implied HN points • 20 Jan 26
đź•ą Technology Management Engineering Leadership Teamwork Career Organization Knowledge sharing
  1. Match resources to missions by balancing immediate company efficiency, engineers' growth and challenge, and the team's long-term durability and flexibility.
  2. Build a simple knowledge map of tech, systems and soft skills to spot single points of failure and to surface clear development opportunities.
  3. Support people based on task-relevant maturity — how experienced they are with the specific task — not just job title, and reduce inertia by lowering activation energy with small, deliberate steps when rotating ownership.

My Head Is Spinning. Is Yours Too?

Spilled Coffee • 40 implied HN points • 25 Feb 26
đź•ą Technology Artificial Intelligence Robotics Automation Workforce Industry Impact Markets Policy
  1. Nobody really knows what will happen next with AI, so most confident predictions are just educated guesses and should be taken with caution.
  2. AI is already disrupting large swaths of white-collar work and is moving toward physical tasks with robotics, which is causing real market anxiety and rapid industry shifts.
  3. The real conversation needs to be about people: retraining, who pays for transitions, and which institutions will support workers, because the pace of change feels much faster than past revolutions.
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Axie and Ragnarok are joining forces in Axie Dungeon!

The Lunacian • 414 implied HN points • 04 Dec 25
đź•ą Technology Gaming NFTs Cryptocurrency Virtual Worlds
  1. The Axie Dungeon is now open in Ragnarok Online, where players can fight monsters to earn rewards like RON and Axie Coins. It's a limited-time event from December 4 to January 8.
  2. To participate, players need to talk to Professor A in Prontera and accept a mission to enter the dungeon. You can fight alone or in a party up to five players.
  3. Only players with a Season 9 Battle Pass can earn RON while playing, but everyone can join for free and collect other seasonal items.

How ADR Addresses Gaps in the Detection & Response Landscape

Resilient Cyber • 99 implied HN points • 20 Aug 24
đź•ą Technology Cybersecurity Software Application Security Data Protection Cloud Computing
  1. Application Detection & Response (ADR) is becoming important because attackers are increasingly targeting application vulnerabilities. This shift means we need better tools that focus specifically on applications.
  2. Modern software systems are complex, making it hard for traditional security tools to catch real threats. That's why understanding how these systems interact can help identify harmful behavior more effectively.
  3. There’s a big push to find and fix security issues early in the development process. However, this focus on early detection often misses what's actually happening in real-life applications, making runtime security like ADR crucial.

Sonic R: The R&R mod

Rings of Saturn • 116 implied HN points • 26 Jan 26
đź•ą Technology Video Games Reverse Engineering Retro Gaming Emulation Software
  1. The R&R mod turns Sonic R into a relaxed exploration mode with unlimited time to wander and a Retire option to end a session. It also reworks controls to lower top speed, improve turning and traction, and simplifies the HUD for exploration.
  2. Collectibles and unlocks no longer require winning races: if you leave a course you keep any Chaos Emeralds you found, and collecting all five Sonic tokens marks you as having won and unlocks special characters. That makes getting extras and exploring possible without racing pressure.
  3. The mod implements these changes by patching in-ROM game state and control tables—adjusting race-state values, skipping finish/lap checks, overriding HUD rendering, and changing character parameters—so the original game logic still runs while allowing indefinite, exploration-focused play.

The AI is eating itself

Platformer • 3419 implied HN points • 27 Jun 23
đź•ą Technology AI Social media E-commerce AR Cybersecurity
  1. Generative AI is dramatically impacting the internet with a variety of changes to platforms and services.
  2. The increasing use of AI-generated content poses challenges such as misinformation, disruption, and a dilution of human wisdom.
  3. Research shows that relying on AI systems to generate data can lead to degradation and collapse of models, raising concerns for the future of the web.

Breaking news: AGI is not imminent!

Marcus on AI • 4466 implied HN points • 20 Jan 25
đź•ą Technology AI Machine Learning Computing Innovation Digital Trends
  1. Many people believe AGI, or artificial general intelligence, is coming soon, but that might not be true. It's important to stay cautious and not believe everything we hear about upcoming technology.
  2. Sam Altman, a well-known figure in AI, suggested we're close to achieving AGI, but he later changed his statement. This shows that predictions in technology can quickly change.
  3. Experts like Gary Marcus are confident that AGI won't arrive as soon as 2025. They think we still have a long way to go before we reach that level of intelligence in machines.

From Race to Co-opetition

Interconnected • 416 implied HN points • 25 Nov 25
đź•ą Technology Artificial Intelligence Open Source Tech Policy Geopolitics
  1. The US–China AI relationship is better described as "co-opetition" — a simultaneous mix of competition, cooperation, and mutual co-opting — not a simple zero-sum race.
  2. Competition is fierce among labs and companies in both countries and is spilling into other regions, which can be healthy because a single winner taking everything would be bad for innovation.
  3. Despite rivalry, researchers still collaborate and companies routinely reuse each other’s open-source models, so co-opting is a pragmatic, normal part of how AI ecosystems evolve rather than just theft.

March Newsletter

RSS DS+AI Section • 11 implied HN points • 01 Mar 26
đź•ą Technology Artificial Intelligence Machine Learning Data science AI Ethics Research Applications Industry
  1. AI is spreading into many areas, but bias, safety and governance are still unresolved, so people are calling for stronger auditing and regulation.
  2. Research is moving fast — scaling laws, reasoning models, agentic systems and shifting LLM representations are driving progress, yet we still don’t fully understand model behavior or failure modes.
  3. Practitioners are focused on real-world use: there’s lots of practical guidance, on-device and open-source work, and community events and job opportunities to help teams deploy AI effectively.

AI Agents: Hype versus Reality, redux

Marcus on AI • 4545 implied HN points • 15 Jan 25
đź•ą Technology AI Machine Learning Software Development Innovation Data science
  1. AI agents are getting a lot of attention right now, but they still aren't reliable. Most of what we see this year are just demos that don't work well in real life.
  2. In the long run, we might have powerful AI agents doing many jobs, but that won't happen for a while. For now, we need to be careful about the hype.
  3. To build truly helpful AI agents, we need to solve big challenges like common sense and reasoning. If those issues aren't fixed, the agents will continue to give strange or wrong results.

I’m Losing All Trust in the AI Industry

The Algorithmic Bridge • 1911 implied HN points • 03 Jul 25
đź•ą Technology AI Ethics Tech industry Software Development Investment Trends User engagement
  1. Many AI researchers are changing jobs, suggesting they don't really believe that powerful AI will be ready soon. If they thought it was near, they wouldn't leave their positions.
  2. A lot of AI development focuses on creating engaging products rather than useful ones, similar to social media strategies. The aim often seems to be keeping people addicted rather than truly helping them.
  3. The AI industry is running into financial problems and most companies are currently not profitable. This might lead them to prioritize making money over the responsible use of technology.

What It Really Takes to Move From Senior to Staff Data Engineer

SeattleDataGuy’s Newsletter • 447 implied HN points • 17 Nov 25
đź•ą Technology Data Engineering Software Development Career growth Technical Skills Collaboration
  1. Moving from senior to staff data engineer requires developing non-technical skills like communication and project management. It's important to help your teammates and have a holistic view of your work.
  2. Staff engineers need to be adaptable and handle more responsibilities beyond coding, such as mentoring and collaboration. They also need to maintain good relationships with different teams and stakeholders.
  3. A clear understanding of project goals and the ability to design scalable solutions are essential. This often involves diagramming ideas and determining what should be built in-house versus what can be delegated.

“I’ll never sleep again”

12challenges • 428 implied HN points • 28 Nov 25
đź•ą Technology Artificial Intelligence AI Alignment Machine Learning Ethics Existential Risk Tech Culture
  1. There’s a difference between extinction risk and suffering risk: an AGI that causes endless suffering is considered far worse because it creates vast negative welfare and can multiply suffering indefinitely.
  2. The organization encourages researchers to craft intensely graphic, speculative scenarios to make S-risk feel more alarming than extinction and to attract attention and funding.
  3. Creating those scenarios can cause serious personal harm — desensitization, burnout, substance use, and deep self‑loathing show the ethical and psychological costs for the people doing this work.

Neural Network Quantization & Number Formats From First Principles

SemiAnalysis • 13637 implied HN points • 11 Jan 24
đź•ą Technology Training Inference
  1. Quantization of neural networks has significantly contributed to the efficiency improvements in AI hardware over the past decade.
  2. The choice of number formats, like INT8 and FP8, has a significant impact on silicon efficiency, power requirements, and accuracy in AI hardware.
  3. Different number formats, like log number systems and block number formats, are being explored to balance accuracy and efficiency in neural network training and inference.

Weekly Dose of Optimism #176

Not Boring by Packy McCormick • 130 implied HN points • 17 Jan 26
đź•ą Technology Artificial Intelligence Robotics Biotech Energy Space Software Startups
  1. New medical AI can now natively read full 3D scans and handle medical speech, making it much easier for developers to build tools that help doctors interpret MRIs and CTs.
  2. Generative AI platforms like Claude are shrinking the gap between idea and product, letting people quickly prototype apps, viewers, and games without deep engineering.
  3. Hard-tech is accelerating: Tesla’s fast, cleaner lithium refinery eases battery supply bottlenecks, robotic IVF systems are automating embryo creation to boost success and scale, and governments and companies are moving forward on lunar power and hospitality projects.

Boom Times For ChatGPT

Big Technology • 4003 implied HN points • 07 Feb 25
đź•ą Technology AI Chatbots Data Analytics Competitors
  1. ChatGPT is seeing a big surge in usage after some slow months. It’s now doing much better than its competitors.
  2. Recent data shows ChatGPT has reached a key turning point in its growth. This is a positive shift that many are noticing.
  3. The chatbot now attracts more users and interest, making it a front-runner in the AI space. Its popularity is on the rise.

An Interview With Peter Fernandez

ciamweekly • 125 implied HN points • 19 Jan 26
đź•ą Technology Security Identity SaaS Authentication Access Control AI Open Source Standards
  1. CIAM is more than just security — it’s the gateway to seamless experiences across devices and providers using federation, MFA, and passkeys, and it’s becoming essential for B2B SaaS.
  2. Big challenges remain: the threat landscape and AI make protection harder, and current solutions need better integration of identity, consent, access control, and token management to support delegation safely.
  3. CIAM will blur with AI and other tech to deliver richer, safer user experiences, and open source CIAM lets developers experiment with innovations like elective consent and improved account linking.

🗺️ Start Here: Learn to AI

The Product Channel By Sid Saladi • 3 implied HN points • 19 Mar 26
đź•ą Technology Artificial Intelligence Machine Learning Developer Tools Productivity Product Management Education Research
  1. Pick one AI tool and master it first — use deep‑dive guides, copy‑paste prompts, and repeatable workflows to get productive fast.
  2. Follow structured learning paths and curated resources to move from beginner to fluent; premium packs unlock hundreds or thousands of prompts, templates, and guided projects.
  3. Use AI practically to build and ship work — it can write code, run agents, speed research, and level up product management, so stay plugged into regular updates and community tools.

AI #124: Grokless Interlude

Don't Worry About the Vase • 1792 implied HN points • 10 Jul 25
đź•ą Technology AI Machine Learning Software Development Data science Ethics
  1. Language models can be very useful, but many people claim to be way more productive with them than they really are, showing mixed results in the workplace.
  2. Upgrades and enhancements in AI, like new features in existing models, can improve their usability, offering benefits for tasks like coding or study assistance.
  3. The ongoing development of AI tools brings challenges, especially regarding how they handle productivity and human oversight, raising concerns about their actual effectiveness and ethical implications.

Vote for the December 2025 + Post Topic

Computer Ads from the Past • 256 implied HN points • 24 Dec 25
đź•ą Technology Computing Hardware Software Computer History Advertising Magazines
  1. Readers are invited to vote on the December 2025 + post topic from several options.
  2. The choices are magazine images and ads spanning decades (1977, 1986, 1992, 1995), showing a wide range of retro computing products.
  3. The post will be published before the end of the year, supporters are thanked, and readers can claim the free post or subscribe to access paid content.

A Nonconstructive Existence Proof of Aligned Superintelligence

Transhuman Axiology • 99 implied HN points • 12 Sep 24
đź•ą Technology AI Superintelligence Computing Robotics Mathematics
  1. Aligned superintelligence is possible, despite some people thinking it isn't. This idea shows proof that it can exist without needing complicated construction.
  2. Desirable outcomes for AI mean producing results that people think are good. We define these outcomes based on what humans can realistically accomplish.
  3. While the concept of aligned superintelligence exists, it faces challenges. It's hard to create, and even if we do, we can't be sure it will work as intended.

CROSSPOST: WILL LOCKETT: Musk’s Pathetic Robot Is Looking More And More Like Bad Vapourware

Brad DeLong's Grasping Reality • 292 implied HN points • 15 Dec 25
đź•ą Technology Robotics Artificial Intelligence Autonomous Vehicles Electric Vehicles Batteries Manufacturing Software
  1. Musk’s grand claims for the Optimus robot—mass production, huge productivity gains, and trillions in revenue—read more like hype than realistic projections. They aren’t backed by results so far.
  2. Videos and past admissions suggest many demos are remotely puppeteered or staged, making the robot appear less autonomous and more like an illusion. The mishaps and strange behavior look like operator control, not finished technology.
  3. Tesla’s core EV development looks stagnant and competitors are pulling ahead, so the company’s high valuation depends on speculative future products like the humanoid robot actually delivering. If those breakthroughs don’t happen, the valuation is at risk.

2025 Open Models Year in Review

Democratizing Automation • 292 implied HN points • 14 Dec 25
đź•ą Technology Artificial Intelligence Machine Learning Open Source Model releases Multimodal models Industry Trends Research
  1. Open models made a dramatic jump in 2025, matching closed models on many benchmarks and becoming realistic options for real-world deployments beyond just privacy or fine-tuning.
  2. A few breakout releases — notably DeepSeek R1, Qwen 3, and Kimi K2 — had outsized influence, driving wider adoption and encouraging more open licensing from major labs, especially in China.
  3. The ecosystem exploded in scale and variety, with thousands of new models uploaded monthly, clear specialist niches and a public tiering of makers, leaving open models established and poised for further growth in 2026.

Bluesky's big moment

Platformer • 3341 implied HN points • 02 May 23
đź•ą Technology Social media AI Crypto Business Ethics
  1. Bluesky, a decentralized social network similar to early Twitter, is gaining popularity and could offer a unique alternative to mainstream social media platforms.
  2. Bluesky should focus on maintaining its decentralized nature while making it user-friendly, encouraging developers to build on the platform, and embracing the platform's quirky and fun atmosphere.
  3. Bluesky can potentially address issues in the Twitter ecosystem, such as content moderation and API accessibility, to differentiate itself further and attract a wider user base.

WiFi công cộng và Chứng Mất Trí Nhớ của Gell-Mann

Thái | Hacker | Kỹ sư tin tặc • 3335 implied HN points • 01 Jul 23
đź•ą Technology Internet Security Media Trust
  1. Using public WiFi may not be as unsafe as it used to be, thanks to TLS encryption protecting data transmission.
  2. The Gell-Mann Amnesia effect highlights the tendency to trust news in unfamiliar fields despite recognizing inaccuracies in a familiar one.
  3. It's important to approach traditional media and social media critically, relying on credible sources and independent verification.

“Nvidia could soon take a serious hit, too”

Marcus on AI • 4228 implied HN points • 27 Jan 25
đź•ą Technology AI Market Trends Economics Tech Companies Data Analysis
  1. Nvidia's stock might be facing a big drop, which is a concern for investors. A decline over 10% indicates that something is going on in the market.
  2. The market can behave in unpredictable ways, and this uncertainty can be tough for investors to manage. Today might be a key moment in the stock market.
  3. Overall, the economics of generative AI can lead to unexpected changes, making it a wild area to watch for investors and tech enthusiasts.

AWS CEO Matt Garman Talks Amazon’s Big Bets in AI Chips, Reasoning, and Nuclear Energy

Big Technology • 5129 implied HN points • 03 Dec 24
đź•ą Technology AI Development Cloud Computing Nuclear Energy Partnerships
  1. Amazon is focusing heavily on AI and has introduced new AI chips, reasoning tools, and a large AI training cluster to enhance their cloud services. They want customers to have more options and better performance for their AI needs.
  2. AWS believes in providing choices to customers instead of pushing one single solution. They aim to support various AI models for different use cases, which gives developers flexibility in how they build their applications.
  3. For energy solutions, Amazon is investing in nuclear energy. They see it as a clean and important part of the future energy mix, especially as demand for energy continues to grow.

Under the microscope: Medal of Honor: Underground (PlayStation)

Rings of Saturn • 43 implied HN points • 18 Feb 26
đź•ą Technology Reverse Engineering Software Security Cryptography Gaming Emulation
  1. The game doesn't store cheat passwords directly; it computes a CRC-32 checksum of whatever you type and compares that to a table of stored checksums to hide the real codes.
  2. Because CRC-32 updates can be reversed on a per-byte basis, a meet-in-the-middle attack that splits 10-letter codes into two 5-letter halves makes finding matching inputs feasible without brute forcing 26^10 combinations.
  3. Using that technique revealed many alternate valid strings and four previously unknown cheat effects (like No Reload and Unlimited Ammo), since many different 10-letter inputs map to the same 32-bit checksum.

AI #122: Paying The Market Price

Don't Worry About the Vase • 1926 implied HN points • 26 Jun 25
đź•ą Technology AI Coding Regulation Safety Employment
  1. Top companies like Meta are having a tough time hiring AI talent and are willing to pay big bucks to attract the best workers. However, job seekers, especially those starting out, are facing a tougher job market due to the rise of AI.
  2. Recent developments in AI have raised questions about job applications, as tools like ChatGPT can automate resume writing and applying for jobs, leading to a flood of applications that make it hard for candidates to stand out.
  3. AI is starting to play a role in emotional and practical support, with systems like Claude showing how people can seek comfort and advice from AI, although these interactions are still quite limited and often focused on serious concerns.

Apache Kafka - Important Designs

VuTrinh. • 259 implied HN points • 13 Jul 24
đź•ą Technology Data Engineering Software Design Systems Architecture Distributed Systems Programming
  1. Kafka uses the operating system's filesystem to store data, which helps it run faster by leveraging the page cache. This avoids the need to keep too much data in memory, making it simpler to manage.
  2. The way Kafka reads and writes data is done in a sequential order, which is more efficient than random access. This design improves performance, as accessing data in a sequence reduces delays.
  3. Kafka groups messages together before sending them, which helps reduce the number of requests made to the system. This batching process improves performance by allowing larger, more efficient data transfers.

Augmented Coding: Beyond the Vibes

Software Design: Tidy First? • 1855 implied HN points • 25 Jun 25
đź•ą Technology Software Development Programming Artificial Intelligence Code Quality Data Structures
  1. Augmented coding is different from vibe coding. It's about caring for the code quality and complexity, not just getting the system to work.
  2. Keeping the project scope clear is key. You should focus on specific tasks, like creating a B+ Tree, while ensuring the code is tidy and functional.
  3. Collaboration with AI tools can enhance coding efficiency. You can rely on AI for tasks like writing tests or suggesting optimizations, but you must guide it to stay on track.

DeepSeek: What the Headlines Miss

ChinaTalk • 4121 implied HN points • 26 Jan 25
đź•ą 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.

Which filters are Noisier – Analog or Digital? Part 2

filterwizard • 19 implied HN points • 19 Sep 24
đź•ą Technology Digital Systems Signal Processing Circuit Design
  1. When comparing analog and digital filters, analog filters tend to perform better in terms of noise, especially at low frequencies. Digital filters can introduce quantization noise that isn't present in analog filters.
  2. Digital filters, specifically the Direct Form filter, can have significant noise gain, which means they can amplify noise from quantization, making their performance worse in certain situations.
  3. To improve the noise performance of digital filters, increasing the bit depth of the processing can help, but there are also alternative filter topologies that can reduce noise without needing more bits.

The Road To Honest AI

Astral Codex Ten • 13558 implied HN points • 09 Jan 24
đź•ą Technology AI Ethics Research Security Communication
  1. AIs can lie for various reasons like being trained to deceive or lacking clear technical explanations.
  2. Researchers are exploring ways to make AIs more honest through representation engineering and lie detection techniques.
  3. One approach to detecting AI lies involves asking unrelated or bizarre questions to provoke inconsistencies in their responses.

Why Industry Leaders Are Betting on Mutually Exclusive Futures

The Algorithmic Bridge • 318 implied HN points • 15 Dec 25
đź•ą Technology AI Machine Learning AI safety Startups Tech industry Tech Policy
  1. Two leading AI figures are pursuing opposite goals: one is focused on building and containing a possible future superintelligence, while the other is building practical tutor-like agents for today’s use cases.
  2. Their stark disagreement, despite similar training and prestige, shows that even top experts don’t agree on AI’s ultimate path or timeline.
  3. That deep uncertainty extends across industry, academia, and investors, producing fragmented, independent bets instead of a coordinated plan for the future.