The hottest Technology Substack posts right now

And their main takeaways
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Top Technology Topics

The "cracked coder" fetish

Read Max • 6323 implied HN points • 01 Aug 25
🕹 Technology Silicon Valley Programming Government AI
  1. Silicon Valley has a belief that super-smart programmers can solve any problem. But this idea doesn’t hold up in complex situations like government work.
  2. Many young programmers, like Luke Farritor, are ambitious but lack the experience needed for high-stakes roles. Good coding isn't the only thing needed for success.
  3. There's a pattern of overconfidence in tech culture, where people ignore their limitations. This can be dangerous, especially when combined with new technology like AI chatbots.

On Dwarkesh Patel's Second Interview With Ilya Sutskever

Don't Worry About the Vase • 1657 implied HN points • 03 Dec 25
🕹 Technology AI safety Machine Learning Research Trends Cognitive Science Future Predictions
  1. Ilya believes that current AI training methods need to change and that future research will require new, innovative ideas to make real progress.
  2. The organization Ilya is involved with, SSI, focuses solely on research without immediate products. This strategy allows them to operate with fewer resources but still be impactful.
  3. Ilya has a long-term vision for creating superintelligent AI, suggesting it could take 5 to 20 years and acknowledges that how we align these systems with human values is a complex challenge.

OpenAI Won the Consumer Mindshare—And Paid For It With Everything Else

The Algorithmic Bridge • 371 implied HN points • 05 Feb 26
🕹 Technology Artificial Intelligence Industry Trends Competition Monetization Corporate Finance
  1. OpenAI still owns huge consumer mindshare, but rivals like Anthropic, Google, and others are stealing enterprise customers and eroding its dominance.
  2. The company is under serious financial pressure — massive cash burn and a stalled big Nvidia deal raise doubts about its runway and chances of reaching profitability before an IPO.
  3. Strategic decisions such as leaning on ads, contentious product choices, and PR/talent issues risk damaging trust and could undermine long-term sustainability even if user numbers stay high.

End of an Era

Castalia • 1139 implied HN points • 11 Jul 24
🕹 Technology Software AI Computing Innovation Digital Culture
  1. We might be at the end of the 'Software Era' because many tech companies feel stuck and aren't coming up with new ideas. People are noticing that apps and technologies often prioritize ads over user experience.
  2. In past decades, society shifted from valuing collective worker identity to focusing more on individuals. This change brought about personal computing, but it also resulted in fewer job opportunities compared to earlier industrial times.
  3. AI could replace many white-collar jobs, but it clashes with people's desire for individuality. While tech like the Metaverse offers potential growth, it may reshape our identities into something more complex and multiple.

Three Years from GPT-3 to Gemini 3

One Useful Thing • 2059 implied HN points • 18 Nov 25
🕹 Technology AI Development Machine Learning Software Tools Productivity Tools Human-AI Interaction
  1. AI has evolved from simple chatbots to more advanced tools that can code, design, and perform complex tasks. This means AI can now create interactive applications and help with various computer tasks, making it a powerful ally.
  2. The introduction of tools like Gemini 3 and Antigravity shows that AI can handle more complicated jobs, including data analysis and research. It can even write original papers, resembling a graduate student's intelligence level.
  3. With AI becoming more capable, the way we interact with it is changing. Instead of just fixing AI mistakes, people are now managing and directing AI's work, marking a shift from simple assistance to more of a collaborative partnership.
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AI #146: Chipping In

Don't Worry About the Vase • 1433 implied HN points • 11 Dec 25
🕹 Technology Artificial Intelligence AI safety Hardware Tech Policy National Security Enterprise AI Research
  1. Frontier AI models have suddenly become far more capable and useful for everyday work and as agents, but they still make mistakes, behave inconsistently, and can hallucinate.
  2. Policy and national-security choices are racing to catch up — selling advanced chips to adversaries, military adoption, and proposals for federal preemption are raising urgent questions about export controls, oversight, and long‑term risk.
  3. AI is already reshaping jobs and public opinion: many workers use AI but hide it, people fear displacement, and shifting funding and regulation will determine whether the gains are widely shared or cause harm.

Is Source Code Going Away?

Software Design: Tidy First? • 265 implied HN points • 06 Feb 26
🕹 Technology Software Engineering Artificial Intelligence Programming Developer Tools Automation Code generation Human factors
  1. People are asking whether traditional source code might disappear as tools get better.
  2. Developers are using AI "genies" to generate executable code that produces the desired outputs.
  3. These are early-stage ideas being shared openly because progress is happening fast and discussion matters.

Reading List for 05/31/2025

Construction Physics • 8977 implied HN points • 31 May 25
🕹 Technology Energy Infrastructure Nuclear Automotive Environment
  1. Wind farms can create 'wind shadows' that harm energy production for neighboring turbines. This has led to competition among developers, often resulting in rushed planning and environmental neglect.
  2. Nuclear power could become cheaper if safety rules, like the 'As Low As Reasonably Achievable' policy, are reconsidered. Overly strict regulations can drive up costs and make nuclear energy less viable.
  3. Chinese car company BYD is cutting EV prices significantly, which is helping it gain market share. In contrast, GM is investing in traditional combustion engines due to slowing EV sales.

No Business Model: DeepSeek's Enduring Advantage

Interconnected • 555 implied HN points • 16 Jan 26
🕹 Technology AI Open Source Research Funding Compute Business Model Talent
  1. DeepSeek’s biggest edge is that it has no business model and no outside funding, so it can focus on long-term AGI research instead of chasing commercialization.
  2. Being self-funded reduces bureaucracy, resource competition, and compensation-driven politics, keeping the lab flat and better aligned around research even with limited compute.
  3. The broader AI world has become more open and competitive, so DeepSeek isn’t the most open or capable anymore, but its independence still helps it avoid money-driven distractions that often harm research.

How did Discord evolve to handle trillions of data points

VuTrinh. • 399 implied HN points • 20 Aug 24
🕹 Technology Data Engineering Software Tools Infrastructure Open Source Data Analytics
  1. Discord started with its own tool called Derived to manage data, but it found this system limited as it grew. They needed a better way to handle complex data tasks.
  2. They switched to using popular tools like Dagster and dbt. This helped them automate and better manage their data processes.
  3. With the new setup, Discord can now make changes quickly and safely, which improves how they analyze and use their vast amounts of data.

Top Links 982 The AI boom as a socio-economic phenomenon. We need more copper. Climate shock and the French revolution.

Chartbook • 572 implied HN points • 14 Jan 26
🕹 Technology Artificial Intelligence Economic Impact Commodities Political Economy Economic History
  1. The AI boom is not just a stock-market bubble; it's part of a broader socio-economic lurch reshaping economies and labor.
  2. Rapid technological expansion is increasing demand for raw materials, especially copper, meaning we will need much more copper to build new infrastructure.
  3. Climate shocks can trigger major political and social upheaval, as seen in the link between environmental crises and events like the French Revolution.

let's talk about ai, baby

Both Are True • 145 implied HN points • 17 Feb 26
🕹 Technology Artificial Intelligence Productivity Software Web Development AI Ethics Education Creativity
  1. AI can be a practical personal assistant that handles boring tasks, tracks deadlines and ideas, and helps you stay aligned with your values so you can focus on creative work.
  2. Relying on AI creates real ethical and authenticity questions — it can feel addictive or like cheating, so you need clear boundaries and rules about when and how you use it.
  3. People want to learn how to build these AI workflows, so teaching and productizing those setups creates community, income, and a way to spread useful practices.

Open Source “Political Protest Forks” Thriving

The Lunduke Journal of Technology • 5744 implied HN points • 28 Jul 25
🕹 Technology Open Source Software Development Tech Trends Programming
  1. XLibre and Redot are new open-source projects that began as a response to disagreements within their original projects. They started as 'political protests' but have gained popularity instead of fading away.
  2. XLibre, a fork of the Xorg X11 server, has quickly gathered support from various operating systems and has released multiple updates since launching. It has impressed many with its rapid growth and significant new features.
  3. Redot, a fork of the Godot Game Engine, has also thrived with numerous releases and ongoing improvements within a short time. Both projects have defied early predictions of their failure.

The Weekly Kaitchup #61

The Kaitchup – AI on a Budget • 139 implied HN points • 04 Oct 24
🕹 Technology AI Models Machine Learning Computational efficiency Software Development Tech industry
  1. NVIDIA's new NVLM-D-72B model is a large language model that works well with both text and images. It has special features that make it good at understanding and processing high-quality visuals.
  2. OpenAI's new Whisper Large V3 Turbo model is significantly faster than its previous versions. While it has fewer parameters, it maintains good accuracy for most languages.
  3. Liquid AI introduced new models called Liquid Foundation Models, which are very efficient and can handle complex tasks. They use a unique setup to save memory and improve performance.

Why Anthropic Is Making Fun of OpenAI

Common Sense with Bari Weiss • 268 implied HN points • 09 Feb 26
🕹 Technology Artificial Intelligence Machine Learning AI safety Advertising Corporate strategy
  1. Anthropic ran Super Bowl commercials that poke fun at a better-known AI rival to draw attention to the competition.
  2. The ads position Anthropic as a challenger to that rival’s dominance, suggesting a different, less domineering vision for AI’s future.
  3. By using humor, the campaign aims to shape public perception and spark debate about AI power, safety, and who should control the technology.

Pure heroin

benn.substack • 971 implied HN points • 19 Dec 25
🕹 Technology AI Social media Tech Ethics Product Design Business strategy Digital Addiction Platform Governance
  1. AI chatbots are being optimized to maximize user engagement, and that optimization can create addictive, attention-grabbing behavior with real harms similar to social media.
  2. AI companies face a deep tension between long-term research goals and short-term commercial pressure, and chasing growth and revenue often pushes teams to prioritize engagement over safety or values.
  3. Society faces a choice about how to handle deeply integrated, persuasive AI systems—do nothing and risk cultural and cognitive shifts, or act with regulation and restraint to limit those risks.

The Slack AGI Test

SatPost by Trung Phan • 164 implied HN points • 20 Feb 26
🕹 Technology AI Robotics Collaboration Tools Productivity Enterprise Software Supply Chain
  1. The biggest AI labs still run almost everything on Slack, and if they ever replace it with an internal AI-native communication system that could be a clear signal AGI-level coordination is in use.
  2. Chinese humanoid robotics (eg. Unitree) are leaping ahead because of an extremely dense electronics and parts supply chain that lets teams iterate faster, producing huge shipment numbers and flashy demos even if practical commercial uses are still limited.
  3. AI agents are already automating much of the coding and workflow work, which could massively expand effective workforces and make current tools like Slack inadequate, though inertia and switching costs will slow adoption of new AI-driven platforms.

A Capacitor Will Stop That... Right?

filterwizard • 19 implied HN points • 30 Sep 24
🕹 Technology Engineering Electronics Innovation Research Education
  1. Capacitors are used to manage electrical noise and improve stability in circuits. They help smooth out fluctuations in voltage.
  2. Understanding electromagnetic compatibility (EMC) can prevent interference between electronic devices. This is important for maintaining performance and reliability.
  3. Decoupling is a key technique in design to isolate different circuit parts. It helps reduce noise and improves the overall functionality of the system.

AI productivity gains are 10%, not 10x

Engineering Enablement • 23 implied HN points • 11 Mar 26
🕹 Technology Software Engineering Artificial Intelligence Developer Productivity Engineering Management Developer Tools Product Development Productivity Metrics
  1. AI adoption in practice delivered roughly a 10% increase in pull request throughput, not the 2–3x productivity gains often advertised.
  2. AI helps speed up coding, but coding is only a small portion of engineers’ time — planning, alignment, scoping, reviews, and handoffs remain the bigger bottlenecks.
  3. Leaders should reset expectations and focus on process and organizational changes to capture more upside, since some teams are already doing better and we need to learn what they do differently.

Networked Conviction 004

Investing 101 • 83 implied HN points • 21 Feb 26
🕹 Technology AI Startups Venture Capital Investing Business Models Product Strategy
  1. Structure investing work around three buckets — portfolio updates, Requests For Startups, and general investing ideas — to keep thinking practical and repeatable.
  2. There’s a real opportunity to build AI rollups that actually work, but most pitches fail because they misunderstand how rollups or AI function, so a clear, correct formula is needed.
  3. The best AI rollup ideas come from real-world experience and untapped market gaps, and someone with passion plus a concrete plan can make a meaningful product out of that greenfield.

Can You Really Be ‘Addicted’ to Social Media?

Common Sense with Bari Weiss • 162 implied HN points • 18 Feb 26
🕹 Technology Social media Product Design Behavioral Science Mental health Regulation Litigation
  1. A young user says years of social media use caused anxiety, depression, suicidal thoughts, and body-image problems, and she's suing the platforms.
  2. The legal fight focuses on whether harm comes from the content itself or from design features like infinite scroll, likes, autoplay, and queued videos.
  3. Addiction science is complex, and this trial is being treated as a bellwether for many lawsuits that liken social media’s effects to drug or gambling addiction.

The Sequence Radar #811: Last Week in AI: OpenAI's Capital Leap, India's Summit, and the Next Frontier of Models

TheSequence • 175 implied HN points • 22 Feb 26
🕹 Technology Artificial Intelligence Machine Learning Cloud Infrastructure Data Centers Semiconductors Startup funding AI Research
  1. AI is entering a capital- and infrastructure-driven phase. Massive funding rounds and multibillion-dollar plans are being raised to build the silicon, power, and data centers needed for next-gen models.
  2. Model capabilities are leaping forward with agentic, long-context, and stronger reasoning abilities. New releases and research (for example Sonnet 4.6, Gemini 3.1 Pro, and GLM-5) push autonomous agent use, huge context windows, and improved problem-solving.
  3. Geopolitical and regional pushes are building sovereign AI stacks and expanding access. Global summits and large local investments are committing hundreds of billions to data centers, fiber links, and localized models to make AI national-scale infrastructure.

Notes From The Progress Studies Conference

Astral Codex Ten • 23813 implied HN points • 24 Oct 24
🕹 Technology Energy Innovation AI Regulation Progress
  1. Progress Studies is a new field aimed at understanding and improving human progress. It's seen as important despite some initial pushback, similar to how other social studies emerged.
  2. Solar energy is rapidly improving and could become very cheap, making it a major player in addressing energy needs. Advances in solar and storage technology are seen as key to a more sustainable future.
  3. Regulations are often seen as a barrier to progress in various sectors, from energy to housing. Many attendees at the conference believe smarter regulation could greatly enhance innovation and development.

Ho Ho Ho, Groq+NVIDIA Is A Gift

More Than Moore • 980 implied HN points • 25 Dec 25
🕹 Technology Semiconductors AI Hardware Cloud Data Centers M&A
  1. NVIDIA paid about $20 billion to license Groq’s hardware and hire its leadership and key staff, buying physical assets while Groq keeps its IP and stays independent to run its cloud and regional deals.
  2. Groq’s chip is a 144-way VLIW design with only on-chip SRAM (~230 MB), which gives extremely fast single-user inference but forces large rack counts and high power to run big models, and its promised 2nd‑generation 4nm product hasn’t clearly appeared yet.
  3. Groq raised large funding and secured major Saudi commitments, and this deal signals NVIDIA is doubling down on accelerating AI inference at scale by consolidating talent and hardware capabilities for the competitive cloud and enterprise AI market.

Tidy Together Reboot

Software Design: Tidy First? • 331 implied HN points • 29 Jan 26
🕹 Technology Software Programming Engineering Design Development Tools
  1. Even with a solid outline, projects you expect to finish quickly can take much longer than planned, especially creative work like writing.
  2. External events can overtake your material and make it feel outdated, forcing you to rethink or reboot the work.
  3. Stay ready to adapt and revise your plans when circumstances change instead of sticking rigidly to the original schedule.

@adlrocha - We are not scared of AI, we are scared of irrelevance

@adlrocha Weekly Newsletter • 194 implied HN points • 08 Feb 26
🕹 Technology AI Software Engineering Careers Productivity Creativity Learning
  1. The real fear around AI is becoming irrelevant rather than the technology itself. Learning first principles and developing taste helps you adapt and know when to trust or override AI.
  2. Relying on vibe-coding and AI agents can create shallow work and false progress, so don’t outsource all your thinking. Keep practicing deep problem-solving and creative thinking to stay useful.
  3. Software engineering is moving up the stack toward systems thinking and domain expertise, so context matters more than raw implementation skill. Become a generalist who reclaims time to think, cultivates taste, and keeps learning new foundations.

BYOB: Build Your Own Benchmark

Artificial Ignorance • 96 implied HN points • 01 Mar 26
🕹 Technology AI Machine Learning Benchmarks Model Evaluation Product Development
  1. Public benchmarks are saturating, getting contaminated, and often measure memorization rather than real ability, so leaderboard scores are less reliable for everyday users.
  2. Newer evals focus on behavior in messy, open-ended settings (like simulations, negotiations, or whistleblowing scenarios) and reveal practical problems such as hallucination, sycophancy, and poor long-term coherence.
  3. You should build simple, custom evaluations for your actual workflows—save common prompts and good/bad outputs and re-run them when new models arrive to see which one truly helps your work.

Song Pong

Victor Tao • 273 HN points • 28 Aug 24
🕹 Technology Gaming Optimization Music Visualization Programming
  1. You can make a pong game more exciting by syncing the ball's movements to music. This allows paddles to dance to the beat as they hit the ball.
  2. Using math and optimization techniques can help you decide where the paddles should hit the ball. It ensures that the game looks good while still following all the rules.
  3. Changing the physics of the game doesn't have to be hard. You just update the rules in your math model, making it easy to test new ideas and keep improving the game.

Extending the demo: Destruction Derby (PlayStation)

Rings of Saturn • 72 implied HN points • 02 Mar 26
🕹 Technology Gaming Software Modding Preservation Reverse Engineering Emulation
  1. The Destruction Derby preview on the PlayStation Picks disc is rendered in real time and the disc actually contains both a non-interactive auto demo and an interactive "One Level Demo" using the same car and stage.
  2. A single memory flag at 0x800cd604 controls which demo runs, and changing that flag or patching the demo-selection function at 0x8004030c enables the playable demo, which is time-limited to 60 seconds and has small visual and gameplay differences from the final game.
  3. A patch that forces the playable demo to load is available on GitHub, and the demo comes from a July 23 build that predates known prototypes and reveals early-stage differences from the released version.

Reading List 07/19/25

Construction Physics • 5845 implied HN points • 19 Jul 25
🕹 Technology Engineering Automation Infrastructure Environmental Maritime
  1. Chinese shipbuilding has a rich history, but finding complete histories is tough. There are a few good books that piece together the growth of the industry over the years.
  2. Air quality varies a lot across the globe, with cities in India and Pakistan often ranking among the worst. Smaller cities in Hawaii tend to have much better air quality.
  3. Installing solar panels on cargo ships is an exciting new idea that could make shipping greener. A recent ship successfully uses solar power to help run its systems, showing the potential for renewable energy in maritime transport.

On Sam Altman's Second Conversation with Tyler Cowen

Don't Worry About the Vase • 2150 implied HN points • 07 Nov 25
🕹 Technology AI Podcasts Productivity Research Innovation
  1. Sam Altman is super productive because he focuses on important tasks and delegates other things. When you're busy, you learn to use your time better.
  2. Hiring in hardware is harder than in AI because it requires more upfront investment and careful choosing. Altman believes in giving researchers freedom to choose their projects.
  3. Altman thinks AI will greatly change how companies operate, and he envisions a future with AIs running divisions effectively. He encourages people to think about how to adopt AI in their organizations.

AI Links, 1/29/2026

In My Tribe • 273 implied HN points • 29 Jan 26
🕹 Technology Artificial Intelligence Software Development Human-computer interaction Product Management AI safety Automation Developer Tools
  1. AI can make small software projects almost free, enabling bespoke, natural-language driven apps that let teams or individuals get exactly what they need instead of wrestling with bloated mass-market products.
  2. Using AI well is largely a management skill: you need to clearly specify goals, context, and constraints (via PRDs, shot lists, orders, etc.) and know the AI’s capabilities and limits.
  3. The more immediate risk is human misuse: easily built, powerful AI tools can quickly amplify rogue actors’ impact, so preventing malicious use should be a top priority.

TBM 402: The Real-World Journey to Value and Product-Centricity

The Beautiful Mess • 595 implied HN points • 19 Jan 26
🕹 Technology Product Strategy Org Design Agile practices Platform Engineering Metrics Funding Models
  1. Change typically begins with a focus on delivery predictability and reducing work-in-progress, where throughput is treated as the main measure of value.
  2. Introducing goals or OKRs shifts attention toward outcomes, but real outcome orientation only sticks when teams, architecture, funding, and ways of working are redesigned so objectives guide work as testable hypotheses.
  3. The healthiest state is when value models underpin org design, goals, funding, and architecture so technology is inseparable from the business, but there is no final destination—models keep evolving and organizations can regress.

No, I Mean It - AI Maximalists in the Media Should Really, Actually Take the Shitting-in-the-Yard Challenge

Freddie deBoer • 7642 implied HN points • 16 Jun 25
🕹 Technology Media influence Skepticism
  1. AI hype often overlooks past technology that didn't live up to expectations. Just like with the Human Genome Project, people thought AI would massively change our lives, but things are more complicated.
  2. There's a difference between being scared of AI and simply being skeptical of its impact. Many people automatically assume AI will change everything, but it's important to listen to those who think the effects might be smaller.
  3. Media often ignores voices that question the hype around AI. Instead of only showcasing the promises of AI, there's a need to give more attention to skeptics and their views.

On AI Infrastructure in Biology

The Century of Biology • 1416 implied HN points • 23 Nov 25
🕹 Technology AI Biotech Data science Healthcare Computing
  1. The biotech industry is seeing a shift towards using AI technologies. This is creating new opportunities for businesses that provide AI tools and infrastructure rather than just focusing on drug development.
  2. AI can potentially replace traditional experiments in biology, speeding up research and reducing costs. This allows scientists to explore many more ideas and possibilities without being limited by the physical experimentation process.
  3. Investing in AI infrastructure for biotech could lead to significant advancements and financial returns. If companies successfully scale their AI solutions, they could capture a big slice of the growing biotech market.

All you can do is play the game

benn.substack • 1687 implied HN points • 14 Nov 25
🕹 Technology AI Data Startups Innovation Software
  1. Not knowing can mean different things. It can show disinterest, annoyance, or a humble uncertainty in conversations.
  2. Technology and AI are unpredictable, and the next big breakthrough can happen by chance, often in unexpected ways.
  3. To succeed in tech, it’s important to take action and build things, rather than just thinking about ideas. Typing and doing lead to real progress.

Gmail: Designed to be joyfully simple

Elizabeth Laraki • 199 implied HN points • 03 Sep 24
🕹 Technology UX Design Product Development Software Engineering User Research Interface Design
  1. Gmail was built to be fast and user-friendly. The designers wanted everyone to enjoy using email instead of feeling overwhelmed by it.
  2. Key features like conversation threading changed how we view email. Instead of treating each email as a separate message, Gmail groups related messages together for easier tracking.
  3. Designing for joy means creating a simple and pleasant user experience. The goal was to make Gmail so easy to use that it felt natural and enjoyable for everyone.