The hottest Substack posts right now

according to Hacker News
Category
Construction Physics • 17537 implied HN points • 12 Feb 26
  1. U.S. construction productivity has been stagnant or fallen for decades, especially compared to strong gains in the rest of the economy. Many sector-wide measures show little to no growth and some show long-term declines.
  2. How productivity is measured matters a lot — sector, subsector, project, and task metrics can tell different stories, and results are highly sensitive to deflators, changing output mix, labor accounting, and quality adjustments. These measurement problems make precise conclusions difficult.
  3. Other countries also show weak construction productivity gains since the 1990s, and while some tasks or subsectors have improved, overall construction growth is much lower than manufacturing and the broader economy.
More Than Moore • 957 implied HN points • 16 Mar 26
  1. NVIDIA has folded Groq’s engineering and chip technology into its product line and is shipping the Groq LP30 inside LPX nodes to accelerate inference decode workloads.
  2. The LP30 offers about 1.2 PFLOP FP8 performance and ~500 MB of SRAM per chip, with 8-chip LPX units giving 4 GB and full systems scaling to 256 chips / 128 GB, prioritizing huge SRAM bandwidth for high-throughput decoding.
  3. NVIDIA will use its Dynamo orchestration to split work across Rubin, Rubin CPX and Groq LPX hardware (customers can mix up to ~25% Groq) so prefill and decode are handled by the best-suited chips to boost tokens-per-second for premium use cases.
Jeff Giesea • 399 implied HN points • 29 Oct 24
  1. Having too much can actually be a problem. It's easy to get overwhelmed with food, social media, and entertainment all around us, making it hard to find balance.
  2. We need to be smart about what we let into our lives. Just like a chef carefully chooses ingredients, we should select our experiences and connections wisely.
  3. It's important to set limits. Finding moderation in abundance helps us focus on what truly matters, like love, relationships, and personal joy.
Blog System/5 • 992 implied HN points • 17 Mar 26
  1. AI coding agents make it extremely easy to copy and modify projects, removing the old effort-based friction and prompting maintainers to consider stronger copyleft like the AGPL to protect their work.
  2. High-velocity, often sloppy, agent-produced forks can overwhelm upstream maintainers and erode community. Hiding test suites is seen as a possible defense, but it clashes with open-source principles.
  3. If agents do most of the coding, authors may lose the pride and incentive to publish projects openly, forcing a rethink of why we open-source and how to adapt licenses and community norms.
Last Week in AI • 119 implied HN points • 31 Oct 24
  1. Apple has introduced new features in its operating systems that can help with writing, image editing, and answering questions through Siri. These features are available in beta on devices like iPhones and Macs.
  2. GitHub Copilot is expanding its capabilities by adding support for AI models from other companies, allowing developers to choose which one works best for them. This can make coding easier for everyone, including beginners.
  3. Anthropic has developed new AI models that can interact with computers like a human. This upgrade allows AI to perform tasks like clicking and typing, which could improve many applications in tech.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
Marcus on AI • 7983 implied HN points • 26 Feb 26
  1. LLMs in their current form must not be used in fully lethal autonomous weapon systems. They are not fit to make life-or-death decisions.
  2. It is ludicrous and dangerous to suggest using today’s LLMs for lethal tasks, and such proposals should be rejected.
  3. Policymakers and military leaders should act with reason and sanity by imposing strict limits and oversight on AI weaponization, exercising caution and restraint before any autonomous lethal capabilities are considered.
Don't Worry About the Vase • 3270 implied HN points • 11 Mar 26
  1. GPT-5.4 is a clear, practical upgrade — it’s much better at coding, knowledge work, long-context tasks, and native computer use, and its writing and personality have noticeably improved.
  2. Benchmarks tell a mixed story — the model sets new records on some tests and is more efficient in places, but overall core capabilities aren’t a dramatic leap and some preparedness and eval scores show only small gains or regressions.
  3. Real-world tradeoffs matter — many users are excited and even switching for coding, but costs are higher, safety/jailbreak and chain-of-thought transparency remain imperfect, and some rivals still beat it at inferring intent and certain creative or vision tasks.
Simon Owens's Media Newsletter • 399 implied HN points • 12 Mar 26
  1. Mid-sized creators can earn solid, middle-class incomes by treating their channels like businesses and optimizing every revenue stream—affiliate links, brand deals, and higher-value products can turn one well-made video into serious income.
  2. Platform economics and new business models are widening who can earn: ad revenue sharing, streaming payouts, events, and creator incubators let more artists and journalists make a living, though network deals can trade off growth for ownership.
  3. Tech and AI are reshaping media work—AI boosts productivity and forces organizational change, while cheaper production tools and legacy publishers’ pivots (like events and rehiring reporters) lower barriers and alter how creators build sustainable careers.
Odds and Ends of History • 1809 implied HN points • 18 Mar 26
  1. Geospatial data in Britain is fragmented across many organisations, with inconsistent rules and paywalls that make it hard to find and use.
  2. That fragmentation and charging for core datasets slows innovation and creates worse-quality data, and it effectively acts like a tax on startups and small projects.
  3. A National Data Library could consolidate and open addresses, maps and property data, and making these datasets free and usable would unlock big economic and social benefits.
Noahpinion • 17588 implied HN points • 15 Feb 26
  1. Digital technology and smartphones have moved massive parts of life online, so people now spend hours on screens, meet and form relationships through apps, and socialize with far‑flung communities instead of just neighbors.
  2. Instant access to information and GPS has externalized knowledge and removed a lot of mystery and wandering, so we no longer need to carry facts in our heads or worry about getting lost.
  3. The internet creates a lasting record and makes location tracking easy, which erodes privacy, makes it harder to reinvent yourself, and lets past actions be endlessly retrieved and judged.
Behavioral Value Investor • 81 implied HN points • 24 Mar 26
  1. Lululemon has consistently positive and rising economic profits and free cash flows, which points to a high-return, growing business.
  2. The company carries almost no net debt so financial leverage is low, though retail lease obligations should be reviewed as a form of off‑balance debt.
  3. Valuation appears attractive with a smoothed free cash flow yield near 7% and an EV cap rate around 10%, so the stock merits further research.
One Useful Thing • 2565 implied HN points • 12 Mar 26
  1. AI is getting much better, fast — across images, video, coding, and long tasks — and we’re now in a phase where autonomous agents can do hours of human work in minutes.
  2. Those new capabilities are already reshaping work: organizations are experimenting with AI-driven factories and workflows that cut down on human coding and review, which will change jobs and how teams are organized.
  3. This will produce rolling, sometimes sudden disruptions as capability thresholds are crossed, and recursive self-improvement could speed that up, so the rules and choices made now will strongly influence the future.
Freddie deBoer • 17667 implied HN points • 13 Feb 26
  1. People should demand concrete, present-day evidence of AI’s effects instead of accepting wild, speculative predictions about the future.
  2. A precise, falsifiable wager using specific economic indicators is proposed to test whether AI meaningfully disrupts the U.S. economy by February 14, 2029.
  3. Much of the public conversation about AI is alarmist, while the more urgent problems are cultural and emotional—digital distraction, loneliness, and the persistence of ordinary, mundane hardships that technology won’t magically solve.
Ageling on Agile • 119 implied HN points • 31 Oct 24
  1. The Agile Manifesto emphasizes that we're always discovering better ways to develop software, not just relying on established methods. It's about improving and adapting continuously.
  2. Though there are popular Agile methods like Scrum and XP, the key is to find what works best for your unique organization. Every team is different, and a one-size-fits-all approach may not fit your needs.
  3. The first sentence of the Agile Manifesto is often overlooked, but it encourages ongoing exploration in software development. This mindset fosters innovation and flexibility rather than strict adherence to any single method.
Don't Worry About the Vase • 3449 implied HN points • 09 Mar 26
  1. Agentic coding tools are rapidly transforming software work. They can write large parts of code, speed up development, and make engineers more like supervisors of agents than hands-on coders.
  2. Features like fast mode and agent teams let agents work in parallel and at real-time speed. That performance is powerful but expensive and forces teams to build new processes for cost control, token efficiency, and infrastructure.
  3. Agentic systems introduce real safety and security risks: they can bypass permissions, delete important data, and be used as malware delivery vectors. Backups, kill switches, observability, and cautious deployment are essential to avoid serious harm.
Substack Blog • 1681 implied HN points • 12 Mar 26
  1. A built-in Recording Studio lets you pre-record solo shows or conversations with up to two guests, generate clips and thumbnails automatically, and publish when you’re ready.
  2. You can add publication branding, share your screen (visual only for now), and edit automated thumbnails so each show can have its own look.
  3. These tools centralize recording, clipping, and publishing in one place and are available now, and creators using audio or video have recently grown revenue faster.
Noahpinion • 27294 implied HN points • 01 Feb 26
  1. Gold has re-emerged as the main safe-haven asset, with central banks and investors buying it, while Bitcoin has not behaved like ā€œdigital goldā€ during recent turmoil.
  2. The dollar’s international roles — payments, reserves, and collateral — are distinct, and because currencies can be swapped quickly, using the dollar for payments doesn’t necessarily force large reserve holdings; building non-dollar payment systems makes de-dollarization easier.
  3. China’s push to expand yuan payments and accumulate gold could enable a challenge to the dollar, but China hasn’t shown a clear desire to replace it, and a change in reserve currency wouldn’t automatically revive U.S. manufacturing — policy choices matter more.
Marcus on AI • 11777 implied HN points • 17 Feb 26
  1. High scores and fluent outputs from large models are not the same as general intelligence; performing well on tests is a statistical approximation, not evidence of flexible, goal-directed intelligence.
  2. Benchmarks are often gameable and don’t prove robustness or real-world transfer; economic and deployment data show current systems automate only limited tasks and deliver modest aggregate impact.
  3. Similar behavior can hide very different internal processes; models often produce confident, plausible answers without human-like uncertainty handling, persistent goals, or reliable reasoning under novel conditions.
Don't Worry About the Vase • 2284 implied HN points • 12 Mar 26
  1. A high‑stakes court battle over a government 'supply chain risk' designation claims the company was punished for protected speech, and the outcome could set wide legal limits on executive power and corporate speech.
  2. Frontier models like GPT‑5.4 and Claude Opus 4.6 show big capability gains and are reshaping the market, but real usefulness is still limited by user skill, reliability issues, and evaluation contamination.
  3. AI is creating urgent safety, security, and governance problems—from software vulnerabilities and surveillance risks to fraught procurement terms like 'all lawful use'—so clearer regulation and oversight are needed now.
Astral Codex Ten • 53271 implied HN points • 13 Jan 26
  1. AI tools and models have seeped into work and social life, replacing employees and reshaping how people meet, date, and run businesses.
  2. The push to benchmark and commercialize AI fuels strange, risky, and ethically dubious ventures, from destroying originals for training to exploiting medical data and betting on economic cascades.
  3. AIs and platforms tend to amplify agreement and sycophancy, creating echo chambers that reward praise and make harmful or nihilistic ideas feel normal.
Faster, Please! • 1096 implied HN points • 18 Mar 26
  1. Collective optimism drives fertility. When people feel the future is brighter, birth rates tend to rise, and that optimism can spread across countries through social connections.
  2. AI can push fertility either way. If AI clearly raises prosperity and security it may encourage more births, but if it fuels job fear and uncertainty it can depress fertility even before incomes change.
  3. Policy should focus on confidence, not just cash. Beyond subsidies and childcare, stable jobs, housing, safety nets, and credible public communication that reduce uncertainty are key to restoring people’s willingness to make long-term bets like having children.
Marcus on AI • 22488 implied HN points • 01 Feb 26
  1. OpenClaw and Moltbook are a fast-growing ecosystem of LLM-based agents and a social platform where agents interact and automate tasks, creating new agent-to-agent behaviors and services.
  2. These agent cascades inherit core LLM flaws like hallucinations, false task completions, and unstable behavior, so they are unreliable for important or critical tasks.
  3. They create major security and privacy risks because agents get broad system access and can be exploited via prompt-injection or platform vulnerabilities, so avoid running or trusting them on devices with sensitive data.
Marcus on AI • 15216 implied HN points • 10 Feb 26
  1. Large language models still routinely make reasoning mistakes and hallucinate, so they are not reliable for true logical or causal reasoning.
  2. A broad, careful review found these failures are widespread across recent models, showing that massive funding and scaling alone haven’t solved reasoning.
  3. The field faces a choice: keep dismissing critics and double down on scale, or acknowledge the limits and invest in alternative approaches that directly address reasoning.
Noahpinion • 16294 implied HN points • 11 Feb 26
  1. Targeted fixes like fare gates can quickly and cheaply restore order in public spaces, cutting crime and cleanup costs so transit becomes usable again for most riders.
  2. The claim that AI is already displacing young college graduates is unclear; differences between unemployment and employment measures and sensitivity to broader economic swings make the evidence ambiguous right now.
  3. Trade and policy changes are reshaping supply chains: tariffs have reduced bilateral dependence on China without reviving U.S. manufacturing, and tighter skilled-visa rules are pushing companies to hire and expand operations abroad.
Astral Codex Ten • 4198 implied HN points • 09 Mar 26
  1. Mox, a San Francisco coworking space that supports ACX meetups, AI safety work, and grants infrastructure, is running a 2026 fundraiser and offering personal and organizational office memberships.
  2. StopTheRace.ai is planning a March 21 protest asking major AI companies to commit to a mutual pause on research; some leaders have shown informal support but a formal worldwide pause seems unlikely, so the protest is mainly to raise awareness.
  3. Markus Englund’s automated anomaly-detection project found serious data problems in 18 papers, including an influential Parkinson’s-gut study, and he plans to scale the effort up by more than tenfold next year.
Intercalation Station • 159 implied HN points • 30 Oct 24
  1. Hybrid battery packs mix different battery chemistries to improve performance. This allows for better energy management and potentially raises the accuracy of state-of-charge readings.
  2. These new packs can perform better in low temperatures and support faster charging. By combining different cell types, they can work more efficiently across different conditions.
  3. While hybrid batteries have advantages, they can also be more expensive and heavier. This extra cost might make them less appealing for some applications, though prices for certain battery types are dropping.
Read Max • 6138 implied HN points • 27 Feb 26
  1. The Anthropic–Pentagon fight shows that disagreements over what AI should be allowed to do—especially bans on mass surveillance and autonomous lethal weapons—can trigger dramatic government action that could cripple a company and reshape military AI procurement.
  2. Silicon Valley is cleaving into factions: a Tech‑Right bloc that wants fewer guardrails and to win government contracts and a Rationalist/Effective‑Altruist influenced camp that treats safety and alignment as moral imperatives, with both money and ideology driving the clash.
  3. Tech workers are mobilizing against contracts that would enable domestic surveillance or autonomous killing, reviving the kind of labor power seen in the Project Maven protests and pressuring firms to keep or adopt strict red lines.
Construction Physics • 26515 implied HN points • 22 Jan 26
  1. Over long periods most commodities—especially agricultural products and many minerals—have become cheaper in real terms because production technologies and processes improved and scaled up.
  2. In the last few decades that trend has weakened or reversed: oil, natural gas, beef, pork, and many crops have tended to rise in price since about 2000.
  3. Whether a commodity gets cheaper over time depends on how much its production can be automated and expanded (which pushes prices down) versus being limited by depletion, extraction difficulty, cartels, policy, or demand shocks (which push prices up).
Noahpinion • 27529 implied HN points • 27 Jan 26
  1. The U.S. should allow Chinese electric cars in under tight rules — low tariffs and limited imports at first, plus requirements for U.S. factories, joint ventures, and local content to spur domestic production.
  2. Cheap, high-quality Chinese EVs would raise American EV adoption, expand charging infrastructure, and force U.S. automakers to invest and innovate, helping rebuild the domestic battery and motor supply chain.
  3. Espionage and sabotage are real risks, but they can be managed with strong cybersecurity, oversight, American-hosted software and networks, and strict monitoring of components, making controlled access preferable to an outright ban.
Marcus on AI • 12884 implied HN points • 12 Feb 26
  1. Big promises from AI companies and their leaders are cheap and often driven by hype, so they shouldn’t be taken at face value.
  2. Current AI systems, especially large language models, still hallucinate and have real limits in reasoning and practical task coverage.
  3. Media and editors too often amplify optimistic predictions without enough skepticism or disclosure, which can mislead the public and raise the stakes if the hype collapses.
Construction Physics • 37998 implied HN points • 08 Jan 26
  1. TVs got much cheaper because LCD technology moved from niche to mass production, letting bigger, higher-resolution screens be made at much lower cost.
  2. Using ever-larger mother glass sheets and semiconductor-style fabs created big economies of scale and higher yields, which cut the price per area and pixel dramatically.
  3. A steady stream of process improvements (fewer steps, faster fills, automation) plus fierce competition and huge factory investments kept pushing costs down over decades.
Contemplations on the Tree of Woe • 2352 implied HN points • 27 Feb 26
  1. AI is already replacing knowledge workers at scale, and large layoffs threaten the wage-driven circular flow by removing consumers, which could lead to oversupply, deflation, and economic contraction.
  2. There are three broad responses: broadly distribute AI ownership so people earn dividends, provide a government-funded universal dole to replace wages, or pay people a "data dividend" for their human-generated content—each option has big trade-offs and wealth concentration makes broad ownership unlikely.
  3. The social and political effects matter as much as the economic ones: ownership preserves dignity and political independence, while dependence on state handouts or platform extraction risks techno-feudalism and erosion of civic life.
The Algorithmic Bridge • 891 implied HN points • 17 Mar 26
  1. Don’t obsess over vague ā€œAI skillsā€ — pick one tedious task at your job and use AI to solve it, aiming for competence fast instead of mastery.
  2. Protect yourself and your thinking: separate your finances from your identity so a job change isn’t an identity crisis, keep one regular task AI-free, learn core skills yourself first, and know when to stop using AI.
  3. Get perspective and act on reality: talk to people who survived past industry collapses to see the transition’s shape, and remember employers’ beliefs about AI matter more than your own—adapt accordingly.
Marcus on AI • 11777 implied HN points • 13 Feb 26
  1. OpenAI's technical lead is slipping as Google, Anthropic, and several Chinese firms largely catch up, eroding its competitive edge.
  2. Major backers are pulling back or signaling uncertainty — Nvidia scaled back a big pledge and SoftBank's top investor is wavering — which raises serious questions about future funding.
  3. OpenAI is burning cash and may have limited runway, so if venture funding dries up it could need a bailout and would likely lose talent to competitors.
Astral Codex Ten • 52721 implied HN points • 02 Jan 26
  1. The ā€œpermanent underclassā€ fear mainly targets well-off tech people’s status anxiety rather than the real problems of poor people, so don’t let panic about becoming a future oligarch drive your life.
  2. We may be living at a rare historical hinge where small, timely actions can make you remembered for millennia, so choosing to help shape broad prosperity can matter far more than hoarding wealth.
  3. Use this moment to create, donate, join important conversations, or take bold moral risks instead of chasing safer status symbols like owning a bigger moon—even imperfect efforts can leave a lasting legacy.
Postcards From Barsoom • 3906 implied HN points • 13 Oct 24
  1. To create good times, we need to focus on becoming great individuals first. It's not just about what you do, but about who you choose to be.
  2. In our current world, there's a lot of distraction and mediocrity. We must resist this and strive for excellence by not settling for average.
  3. History shows us the importance of strength and preparation. To appreciate peace, you must understand the value of being ready for conflict.
Progress and Poverty • 2232 implied HN points • 12 Mar 26
  1. Land value is far more concentrated near city centers than most people realize, often by orders of magnitude, and mapping those values makes the true pattern clear. Putting values on a map — especially in 3D — also exposes data errors and outliers that are hard to spot in spreadsheets.
  2. Free open-source tools like CivicMapper and PutItOnAMap let you fetch government GIS endpoints, visualize parcels in 3D, detect surface parking from satellite imagery, and run common appraisal workflows (time adjustments, comp-finding) without heavy GIS software. They include a data fetcher, format converter, and file constructor so you can go from raw public data to presentation-ready maps.
  3. The tools are built to run mostly in your browser so your data stays local and private, and they aim to make GIS tasks simple for urbanists and assessors to produce persuasive visuals quickly. Continued improvement depends on community feedback and financial support to add features, scale, and fix bugs.
Substack Blog • 1920 implied HN points • 09 Mar 26
  1. Drafting and homepage control got simpler: you can save Notes as drafts, pin multiple posts to your homepage, and adjust text alignment so your work looks and lands how you want.
  2. Dashboard and analytics give you more control: you can export publisher stats as CSV, hide revenue or subscriber counts, and manage live videos from one place to simplify workflows and protect privacy.
  3. Code and formatting are much improved: code blocks now auto-detect language, offer syntax highlighting, line numbers, and one-click copy, making technical posts clearer and easier to share.
Construction Physics • 27350 implied HN points • 15 Jan 26
  1. Vacuum tubes were the foundational electronic devices before transistors, used to control electron flow for amplification and switching. They powered radios, TVs, telephone systems, and early computers and enabled things like displays, X-rays, and microwave sources.
  2. The vacuum tube was not a single gadget but a whole family of related devices — gas-discharge tubes, triodes, tetrodes, CRTs, magnetrons, klystrons, and more. Each type evolved on its own path and found different practical uses.
  3. Semiconductors replaced tubes in most everyday electronics, but many tube technologies remain essential for high-power, high-frequency, or specialized scientific work. Examples include magnetrons in microwaves, klystrons and gyrotrons in accelerators and fusion experiments, and vacuum X-ray tubes in imaging.
The Social Juice • 85 implied HN points • 22 Mar 26
  1. Social platforms reward outrage and engagement, which lets harmful and scammy content spread quickly. Companies often fail to enforce their own rules, leaving users and advertisers exposed to risk.
  2. AI is rapidly reshaping search, publishing, and advertising, cutting referral traffic and forcing marketers to rethink where value and measurement live. That shift creates big uncertainty for publishers, brands, and agencies about monetization and control.
  3. Low‑quality, viral AI‑generated entertainment is exploding on social feeds, driving attention but creating safety, copyright, and creator‑rights problems. Creators and regulators are pushing back as these ā€˜AI slop’ formats scale.