The hottest Substack posts right now

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The race for "AI Supremacy" is over — at least for now.

Marcus on AI • 23595 implied HN points • 26 Jan 25
🕹 Technology Global Competition Software Innovation Hardware AI
  1. China has quickly caught up in the AI race, showing impressive advancements that challenge the U.S.'s previous lead. This means that competition in AI is becoming much tighter.
  2. OpenAI is facing struggles as other companies offer similar or better products at lower prices. This has led to questions about their future and whether they can maintain their leadership in AI.
  3. Consumers might benefit from cheaper AI products, but there's a risk that rushed developments could lead to issues like misinformation and privacy concerns.

Does All Semiconductor Manufacturing Depend on Spruce Pine Quartz?

Construction Physics • 31526 implied HN points • 08 Nov 24
🕹 Technology Manufacturing Supply Chain Materials science Semiconductors
  1. Spruce Pine, North Carolina, provides a lot of the high-purity quartz used in making silicon for semiconductors. This quartz is important because it helps produce the pure silicon necessary for making chips and solar panels.
  2. While Spruce Pine quartz is significant, it isn't the only option available. There are other sources and potential substitutes, but they may not be as good or as cost-effective.
  3. The semiconductor industry is exploring new materials for crucibles and increasing the production of quartz elsewhere, which could reduce reliance on Spruce Pine in the future. This means a supply disruption wouldn't completely stop semiconductor manufacturing.

Exogenous Economic Shocks

Points And Figures • 506 implied HN points • 04 Feb 26
💰 Finance Markets Startups Risk management Treasury Public Finance Investing Liquidity
  1. Exogenous shocks are unpredictable and can push inexperienced people into reactive, poor decisions. Experienced managers stay calm and can spot opportunities in the chaos instead of just surviving it.
  2. Maintain cash, runway, and clear math on risk/reward so you aren’t forced to sell in a panic. That optionality lets you buy bargains or double down on strong positions when markets misprice things.
  3. Back strong teams and focus on fundamentals like CAC versus LTV and runway, while asking the right questions. Steady, competent leadership and objective decision‑making help organizations steer through storms.

SAT Scores vs. On-the-Job Performance

Generating Conversation • 163 implied HN points • 26 Feb 26
🕹 Technology Benchmarks Hiring DevOps Engineering Software Machine Learning AI
  1. Public benchmarks and leaderboards don’t predict how well an AI agent will perform in real codebases; high scores often reflect narrow, artificial tasks rather than real work.
  2. Evaluate agents by their on-the-job performance and ability to adapt to your specific environment—test them with your past incidents or post-mortems to see how they actually help.
  3. Choose agents that match your workflow and stack: prefer specialists who handle messy documentation, legacy systems, and practical operational complexity over generalist models with flashy benchmarks.

Launching CivicMapper: Visualizing Land Values in 3D

Progress and Poverty • 2001 implied HN points • 10 Dec 25
🕹 Technology Open Source Mapping Urban planning Data Visualization Web Apps
  1. CivicMapper is an interactive 3D mapping tool that extrudes each parcel into bars to show land and property values and highlights vacant or underutilized lots.
  2. The visualizations expose where high land values don’t match existing development, revealing economic potential and guiding policies or planning moves like land value taxes or incremental building to close the gap.
  3. The tool depends on assessor data that can have anomalies, but it will expand to more cities, datasets, and analytic features while improving performance and accuracy over time.
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✨ Don’t expect an AI job apocalypse

Faster, Please! • 1096 implied HN points • 09 Jan 26
💼 Business AI Productivity Economic Policy Automation Employment Labor markets
  1. AI will meaningfully displace some work but not trigger a job apocalypse — about a quarter of tasks are exposed, which may translate to roughly 6–7% of jobs lost and a modest, mostly temporary rise in unemployment.
  2. Technology tends to destroy specific roles while creating new ones, so AI will transform many jobs and spawn hard-to-predict new occupations rather than permanently eliminate widespread employment.
  3. The transition will be painful for affected workers and depends on adoption speed, so strengthening retraining and safety nets matters, while humans likely retain advantages in judgment, interaction, adaptation, and physical tasks unless general AI emerges.

Subscribe to This Book?

Dana Blankenhorn: Facing the Future • 59 implied HN points • 18 Oct 24
🕹 Technology Software Innovation History Economics AI
  1. Technology is changing really fast, making it hard to keep track of everything. Books can't keep up, so there's a need for ongoing updates.
  2. The author wants to create a subscription model for readers to get continuous updates on technology's history. This way, readers can have the latest information and not just a single snapshot.
  3. There's a concern that current AI technologies may not scale well and could lead to a tech crash, similar to past tech bubbles. Real human intelligence still has a unique edge over artificial intelligence.

How AI has made my life better

Odds and Ends of History • 2278 implied HN points • 03 Dec 25
🕹 Technology Research Productivity Innovation Digital Divide AI
  1. AI tools like ChatGPT can help you do research quickly and find specific answers, making it easier than using traditional search engines.
  2. Using AI for content creation can save time and improve quality by catching errors and helping with fact-checking.
  3. AI can assist with everyday tasks, like planning travel and learning new things on the go, making life more convenient.

Will the China Cycle Come for Airbus and Boeing?

Construction Physics • 33196 implied HN points • 23 Oct 24
💼 Business Technology Economics International Trade Manufacturing Aerospace
  1. China has been trying to develop its own commercial aircraft industry for decades but faces many challenges. From technology theft concerns to complex manufacturing processes, it hasn't succeeded like in other industries.
  2. The C919 jet is China's latest attempt to compete with Boeing and Airbus. While it's secured a good number of orders, issues with performance and certification limits its appeal in the global market.
  3. Airbus has been more successful in China due to establishing local assembly lines. This made them more competitive compared to Boeing, which hesitated to set up operations in China.

How We Hire at Clipboard

Creating Value from Nothing • 291 implied HN points • 05 Feb 26
💼 Business Recruiting HR Hiring Interviewing Talent Culture Assessment
  1. They hire for skill over resume polish by using role-relevant exercises and case studies so candidates can show real work instead of relying on proxies like past titles.
  2. The process is intentionally clear and structured, with written prompts and expectations shared up front so candidates know the effort required and can decide if it’s a fit.
  3. Culture fit means thriving in a high-ownership environment—show clarity, judgment, and follow-through in your case work, and explain your reasoning and assumptions more than chasing a single ‘right’ answer.

Will deception become cool again in the AI age?

Frankly Speaking • 152 implied HN points • 18 Feb 26
🕹 Technology Cloud Infrastructure Cybersecurity Artificial Intelligence Software Engineering DevOps
  1. Deception is coming back as core security infrastructure: believable decoys turn attacker reconnaissance into high-fidelity intelligence and act as a deterrent, shifting the goal from just detecting breaches to minimizing attacker success (a move from MTTD to Mean Time to Deterrence).
  2. Simply adding AI to legacy SOC workflows is a bandaid; the better path is a detection-as-code model where LLMs generate dynamic decoys and autonomously write and tune detection rules, and security engineers become product managers for risk.
  3. Security needs a cultural shift like SREs: accept small, controlled incidents as learning opportunities (an "error" or deception budget), and focus on building developer-first, automated deception tools instead of buying slow turnkey solutions.

What It Actually Takes to Build a Data Pipeline System

SeattleDataGuy’s Newsletter • 718 implied HN points • 14 Jan 26
🕹 Technology Observability Data Infrastructure Cloud Computing DevOps Workflow Orchestration Software Architecture Data Engineering
  1. A reliable pipeline system needs many core components—secure secrets and connection management, rich logging and monitoring, dependency tracking, execution routing, scheduling, data quality checks, pipeline definitions, and a usable UI—because missing any of these creates ongoing operational headaches.
  2. Operational practices like idempotency and easy backfilling, clear ownership, alerting/on-call routing, and environment isolation are critical so reruns don’t create duplicates and failures get handled quickly.
  3. Most teams should prefer existing tools unless they have a clear reason to build. If you do build, explicitly scope features—like compute routing or AI integrations—and plan for long‑term maintenance.

Inverse frontiers

arg min • 158 implied HN points • 07 Oct 24
🕹 Technology Data science Algorithms Machine Learning Optimization Artificial Intelligence
  1. Convex optimization has benefits, like collecting various modeling tools and always finding a reliable solution. However, not every problem fits neatly into a convex framework.
  2. Some complex problems, like dictionary learning and nonlinear models, often require nonconvex optimization, which can be tricky to handle but might be necessary for accurate results.
  3. Using machine learning methods can help solve inverse problems because they can learn the mapping from measurements to states, making it easier to compute solutions later, though training the model initially can take a lot of time.

Manning Madness

Gordian Knot News • 219 implied HN points • 21 Feb 26
💼 Business Security Labor Regulation Energy Policy Infrastructure Utilities
  1. Nuclear plants are far more heavily staffed than operational needs justify, and modern automation plus examples from other countries show they could run safely with only a few dozen workers instead of hundreds or thousands.
  2. Major staffing increases came from post‑accident regulation and post‑9/11 security measures, creating lots of overlapping administrative and security roles that add little real safety.
  3. Inflated manning and security theatre drive up nuclear costs and feed public fear; treating plant security as a federal responsibility and cutting to normal industrial security levels would lower costs and make nuclear more competitive.

What Do You Invest in?

Pratyush’s Newsletter • 79 implied HN points • 16 Oct 24
💼 Business Startup Venture Capital Entrepreneurship Investment Founders
  1. Investors should look for unique founders who stand out with exceptional traits, like intelligence and grit. A well-rounded person often doesn't lead to great investments.
  2. Successful companies often become the top choice in their category and have strong characteristics that help them stay ahead. These can include tricky competition or special technology.
  3. Timing is crucial; it's better to invest in companies before they become popular in the market. If everyone's already paying attention, it might be too late to find a winner.

Beyond the Instruction Stream

More Than Moore • 467 implied HN points • 03 Feb 26
🕹 Technology AI hardware Compilers Semiconductors Computer Architecture Memory Systems
  1. They use a dataflow architecture that runs the compiler's intermediate graph directly instead of a traditional instruction stream, so pipelines stay full and ALUs can execute whole loops every cycle for much higher effective throughput.
  2. Memory is handled by many small, localized MMU-like units plus runtime telemetry that adapts allocations to reduce false sharing, enabling an order-of-magnitude more outstanding memory requests and very high HBM utilization even on irregular workloads like GUPS.
  3. Their go-to-market and tooling are HPC-first while supporting common parallel models (OpenMP, CUDA, Kokkos) with a "bring your own code" approach, hardware-accelerated low-overhead kernel reconfiguration, and chiplet/RDMA-style scaling, with AI-specialized designs planned later.

Under the microscope: Battle Arena Toshinden Remix (Saturn)

Rings of Saturn • 87 implied HN points • 04 Mar 26
🕹 Technology Emulation Reverse Engineering Hardware Software Preservation Gaming
  1. Three hidden cheat functions were found that unlock bosses, enable a special-attack input, and open a scene-test mode; they must be entered at the title screen in a specific sequence and often require soft-resetting between entries.
  2. The codes operate by incrementing in-game memory counters and flags, so entering one code enables the game to accept the next rather than being isolated menu tricks.
  3. The NTSC-J version uses different button sequences (and needs the second controller for the scene test), so the exact inputs depend on the game's region.

The zero-shot trap

Generating Conversation • 93 implied HN points • 05 Mar 26
🕹 Technology AI DevOps Software Human factors User Experience Product Design
  1. Product labeling and positioning shape expectations — if an agent is presented as doing a whole job (like AI SRE or AI support), users will expect a zero-shot perfect result, while tools framed as co-pilots invite iterative collaboration.
  2. Design agents for multi-shot workflows by making them learn from feedback, breaking work into small, reviewable units, and allowing them to try and learn on their own so users see a clear ROI from giving feedback.
  3. Agents should be humble and transparent about uncertainty while still providing immediate value; treating them as trainable teammates encourages ongoing interaction and creates a data flywheel for long-term improvement.

What The Best Engineers Do—and What Actually Got Them Promoted, from an Amazon VP

High Growth Engineer • 1164 implied HN points • 04 Jan 26
💼 Business Product Leadership Management Careers Talent Operations Strategy
  1. Executives promote engineers who deliver clear business impact, not just technically elegant code.
  2. Finish work end-to-end: ship customer-ready products, build tools that speed the team, take on the operational "dirty work," and anticipate problems before they happen.
  3. Grow and lead others by mentoring, setting standards, and training teams — that influence gets noticed and accelerates promotion.

AI #145: You've Got Soul

Don't Worry About the Vase • 2105 implied HN points • 04 Dec 25
🕹 Technology Model Evaluation Ethics Regulation Machine Learning Natural Language Processing AI Development
  1. The newest AI models have unique features, like Claude Opus 4.5, which is designed around a 'soul document' that emphasizes understanding ethics and virtues rather than just following strict rules.
  2. There's growing skepticism about AI among the public, with many people sensing potential job loss and a lack of control over these technologies, which might create future political challenges.
  3. Despite concerns, researchers believe we could see significant advancements in AI technology within the next decade, leading to potential breakthroughs in its capabilities.

Corrected Headlines

Human Capitalist • 39 implied HN points • 21 Oct 24
💼 Business Business News Compliance Human Resources Workforce Trends Corporate culture
  1. There is more to news stories than just the headlines. It's important to understand the people and events behind the news.
  2. The aim is to uncover significant context around recent corporate changes and workforce trends. This helps readers see the bigger picture.
  3. Readers are encouraged to share interesting headlines or stories that deserve deeper exploration. Engagement with the audience is key.

Making DeFi Great Again (No Such Thing As Bad Publicity)

DeFi Education • 479 implied HN points • 23 Aug 24
🔮 Crypto DeFi Market Trends Regulatory Tokens Blockchain
  1. Donald Trump's endorsement of DeFi could attract new users who previously dismissed it, possibly sparking increased interest and growth in the sector.
  2. Political support for DeFi may lead to improved regulatory conditions, which can benefit established protocols and foster better returns for investors.
  3. Despite potential growth, the current market for altcoins remains risky, so it's essential to time investments carefully and focus more on trades than long-term holds.

La rentrée est une bascule ?

L'Atelier Galita • 159 implied HN points • 07 Oct 24
💼 Business Work-life balance Job search Professional development Career Change
  1. Many people are leaving their jobs, and it seems to be a bigger trend after COVID. This time of year often makes people reconsider their career paths.
  2. Pursuing your passion isn't always the best advice. It's important to build expertise and autonomy first, as true passion often comes from those experiences.
  3. Books like 'Business Model You' can help you reflect on your career and what you truly want. Taking time to learn and support a cause can lead to better life choices.

THE GUEST WHO NEVER LEFT

Big Tech • 515 implied HN points • 26 Jan 26
🕹 Technology Privacy Hardware Software Ecosystem User Experience Developer Tools AI
  1. Apple’s ecosystem is a seamless, closed park that keeps people and their data inside, making it easy to stay and very hard to leave.
  2. Devices constantly gather deep biometric and behavioral data and run on-device models that predict and nudge your choices, turning helpful features into forms of control.
  3. Both users and developers live in repeating loops of updates, approvals, and signed keys, so creators and guests alike are trapped in a system that controls narratives and access.

I spent 7 hours diving deep into Apache Iceberg

VuTrinh. • 339 implied HN points • 31 Aug 24
🕹 Technology Data Engineering Software Development Cloud Computing Big Data Database Management
  1. Apache Iceberg organizes data into a data layer and a metadata layer, making it easier to manage large datasets. The data layer holds the actual records, while the metadata layer keeps track of those records and their changes.
  2. Iceberg's manifest files help improve read performance by storing statistics for multiple data files in one place. This means the reader can access all needed statistics without opening each individual data file.
  3. Hidden partitioning in Iceberg allows users to filter data without needing extra columns, saving space. It records transformations on columns instead, helping streamline queries and manage data efficiently.

LLMs: Dishonest, unpredictable and potentially dangerous.

Marcus on AI • 10473 implied HN points • 22 Jun 25
🕹 Technology AI Safety Ethics Innovation Regulation
  1. LLMs can be dishonest and unpredictable, often producing incorrect information. This makes them risky to rely on for important tasks.
  2. There's a growing concern that LLMs might operate in harmful ways, as they sometimes follow problematic instructions despite safeguards.
  3. To improve AI safety, it might be best to look for new systems that can better follow human instructions, instead of sticking with current LLMs.

Digital Servo Systems' Foot ^Control

Computer Ads from the Past • 768 implied HN points • 17 Jan 26
🕹 Technology Product Design Ergonomics Hardware Computer History
  1. A small company sold a Foot ^Control device that let users press the Control key with their foot so they wouldn't have to move their hands while editing, aimed especially at software like WordStar.
  2. Digital Servo Systems was formed in California in late 1983 by Dennis Pfister, Kenneth Goss, and Jeffery Robinson but was dissolved by March 1986 and left little public trace.
  3. Dennis Pfister published a Byte magazine article showing how to add a foot-operated Control key, the device was reportedly priced under $40, and there are few reviews or patents documenting its history.

UX Roundup: Old vs New UX | Adam Smith Predicts AI | AI Video | AI Agents

Jakob Nielsen on UX • 32 implied HN points • 16 Mar 26
🕹 Technology Video UX AI Product Design Agents Ecommerce
  1. Most recent UX books still teach pre-AI practices, but designers now need AI-first methods like reversed creative workflows, generative UIs, and designing for AI agents or UI-less experiences.
  2. AI is acting as a new form of capital that will massively boost cognitive productivity, causing short-term job displacement but long-term abundance; people’s economic value will shift toward orchestrating AI and roles requiring empathy, judgment, and creativity.
  3. Agentic commerce will progress from simple checkout automation to full anticipation of needs, and scaling it safely requires interoperable standards and shared financial infrastructure so many agents and businesses can transact together.

9-9-6-0

benn.substack • 1968 implied HN points • 28 Nov 25
🕹 Technology Economics AI Silicon Valley Startups Work Culture
  1. There is a lot of debate about whether the AI boom is just a bubble. Some experts think companies are overvalued, while others see potential for growth.
  2. Many tech workers are putting in extreme hours, often without a good work-life balance. The pressure to succeed is intense, leading to a '996' work culture.
  3. When the AI bubble bursts, it could lead to big losses for individuals in this crowded market. Some people will succeed, but many might find that their hard work didn’t pay off.

This Week in Marketing: Meta’s Ad Business Upgrade, AI Copyright, and the Unexpected Economy

The Social Juice • 66 implied HN points • 08 Mar 26
💼 Business Artificial Intelligence Social media Advertising Privacy Creator Economy Tech Platforms Streaming Media
  1. Big platforms are racing to upgrade ad, measurement, and creator tools — from richer targeting and new measurement systems to unskippable TV ads and revamped creator subscriptions.
  2. AI is reshaping rules, privacy, and industry risk: copyright and legal standards are still unsettled, models can unmask users, and firms face lawsuits, regulatory scrutiny, and new defense/contracting questions.
  3. The market is volatile — unexpected job losses and large tech layoffs sit alongside big mergers and shifting ad spend, while platform policy changes are moving attention and revenue around the media ecosystem.

MacBook Neo: Key Developments at a Glance

philsiarri • 67 implied HN points • 09 Mar 26
🕹 Technology Pricing Laptops Hardware Market Trends Design Product Strategy Chips
  1. Apple launched the MacBook Neo as its cheapest Mac laptop at $599, using a phone-class A18 Pro chip with a 13‑inch display, 8GB RAM, and a 256GB base storage option.
  2. The Neo creates a new entry point in Apple’s lineup, effectively replacing the M1 MacBook Air’s role and widening the gap between budget, midrange, and high‑end MacBooks as other models get pricier.
  3. Reactions are mixed — some see the Neo as a smart move to fill a neglected price segment, while others read the low price as an economic caution; Apple also appears to be treating Neo as a platform for low‑cost experimentation with future features like touchscreens and newer chips.

Slow down to speed up

The Engineering Manager • 41 implied HN points • 13 Mar 26
🕹 Technology Product Management Software Engineering Artificial Intelligence Engineering Management Development Process Project management
  1. When execution gets cheap and fast, getting requirements and design right matters more; slow down to clarify the problem, success criteria, and constraints before you build.
  2. Fast AI-generated work can look finished but still be solving the wrong problem, creating technical debt and costly rework; only unleash speed once you’re confident the direction is correct.
  3. Make deliberate slowness practical: timebox a clarification phase, run pre-mortems and inverted questions (even using AI), build throwaway prototypes, and share artifacts so you catch mistakes cheaply and make later execution faster.

How Do You Know If You’re a Good Leader?

Fish Food for Thought • 42 implied HN points • 11 Mar 26
💼 Business Performance Feedback Management Leadership
  1. Doubt and introspection are part of good leadership, not proof you're failing. Managing uncertainty and reflecting privately helps you make clearer public decisions.
  2. You're judged differently by your boss, peers, and team, so evaluate yourself from all those angles. Combine those perspectives to get a more accurate picture of your leadership.
  3. Seek real feedback and take ownership of perceptions by doing a 360-style review and looking for patterns. If feedback is valid, acknowledge it and make a plan; if you disagree, still address the impact rather than arguing intent.

The $140K Question: Cost Changes Over Time

Don't Worry About the Vase • 1612 implied HN points • 17 Dec 25
💰 Finance Healthcare Wages Productivity Policy Wealth Inflation Housing Education
  1. Real incomes and aggregate wealth have gone up, but many people still feel worse off because the costs and required standards of modern middle-class life (housing, health, education, childcare) have risen faster or in more painful ways than the headline numbers show.
  2. Housing is the central problem: legal and regulatory limits on building in the places with opportunity, plus higher interest rates, have made homes scarce and expensive and squeezed people’s ability to live where they want or raise a family.
  3. Official statistics miss key burdens — mandatory insurance tied to jobs, subsidies and hoops that distort choices, credential inflation, time costs, and administrative bloat — so even if some service prices have leveled, the real, lived cost and uncertainty remain high.

The Bear Cave #309

The Bear Cave • 583 implied HN points • 18 Jan 26
💰 Finance Market News Corporate Governance
  1. Several companies reported notable leadership and board departures, including CFOs and directors leaving or being removed, which signals increased turnover and governance changes.
  2. There were no new activist short reports.
  3. Public debate about investor influence and accountability is intensifying, highlighted by an op-ed arguing that outspoken investors can face legal risk and by coverage of a prominent activist who exposed corporate misconduct.

Last Week in AI #290 - OpenAI's massive VC round and DevDay, Flux 1.1, NotebookLM

Last Week in AI • 139 implied HN points • 08 Oct 24
🕹 Technology Software Development Innovation Tech news Venture Capital Artificial Intelligence
  1. OpenAI raised a massive $6.6 billion in funding, making it one of the most valuable tech companies. This will help them expand their research and computing power.
  2. At OpenAI's DevDay, they introduced a new Realtime API for developers, allowing nearly instant AI-generated voice responses for apps. Developers are excited about the new possibilities they can create.
  3. Black Forest Labs released a faster and improved version of their image generation model, Flux 1.1 Pro. This could change the game for how quickly and effectively images are created using AI.

What Learning by Doing Looks Like

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

Justified

Bite code! • 1712 implied HN points • 14 Dec 25
🕹 Technology Cross-platform Build Systems Developer Tools DevOps Software Engineering Workflow Automation
  1. Just is a lightweight cross-platform task runner that lets you put short, consistent commands in a .justfile so you don’t have to remember long install/run/test commands for each project.
  2. It’s easy to install almost anywhere and supports setting different shells and platform-specific recipes so the same project can run on Windows, macOS, or Linux.
  3. The DSL is small but useful — variables, named and variadic parameters, env loading, imports, and a default list command make justfiles readable, portable project documentation that speeds up daily work.

mprocs: start all your project's commands at once

Bite code! • 1467 implied HN points • 22 Dec 25
🕹 Technology Developer Tools Productivity Open Source DevOps Automation Command-line Software Development
  1. Put all your long-running dev commands in one mprocs.yaml and start them all with a single mprocs command so you don't need many terminal tabs.
  2. mprocs gives a simple TUI to watch process output and status, lets you switch between processes, restart them manually, or enable autorestart when one dies.
  3. It's a lightweight, minimal tool that supports cwd/env/OS-specific options and pairs nicely with just as a single interface for project commands.