The hottest Substack posts right now

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Management as AI superpower

One Useful Thing • 2598 implied HN points • 27 Jan 26
đź’Ľ Business Leadership Management Productivity Operations Innovation Strategy Entrepreneurship
  1. Agentic AI lets people build working prototypes and explore multiple startup ideas far faster and much cheaper than before, cutting months and big costs out of early-stage work.
  2. Decide when to delegate by weighing how long the task would take you, how likely the AI is to succeed, and how much time it takes to prompt and review outputs. Improving the AI's success probability or lowering review overhead makes delegation more worthwhile.
  3. Traditional management skills—clear goals, specific deliverables, limits of authority, and good feedback—are now the key to getting useful work from AI agents, and common documents like PRDs or orders make excellent prompts.

UX Roundup: Generate in 4K | Research Reproducibility Crisis | NotebookLM Videos Perform Well | Midjourney v.8 | Micropayments | Microsoft Image Model | NVIDIA GTC

Jakob Nielsen on UX • 21 implied HN points • 23 Mar 26
đź•ą Technology User Experience Education Payments Hardware Computer Vision AI Research
  1. Generate images at very high resolution (4K) because iterative edits and repeated modifications degrade quality, so starting large preserves fidelity for the final, smaller publish size.
  2. A large share of top-tier UI/HCI studies fail replication, so interface research can generalize poorly and it’s safest to rely on findings that have been independently reproduced across methods and domains.
  3. Micropayments for AI agents look promising since agents can automatically spend small budgets to access paid, high-quality content; new protocols like MPP could make this practical and help fund better content and better AI.

Whatever happens, do not cry in the conference room

Wondering Freely • 853 implied HN points • 04 Oct 24
đź“– Philosophy Academic writing Emotions Gender Studies Professionalism Cultural Issues
  1. In academia, showing emotions is often discouraged. People learn to hide their feelings and act confident even when they feel insecure.
  2. Criticism can be harsh in academic settings, making it hard to respond without getting upset. Many people try to maintain composure despite feeling overwhelmed.
  3. It's important to find a balance between professionalism and emotional expression. Emotions can be valuable in understanding and engaging with philosophical ideas.

Dario Amodei isn't the hero we need

Nonzero Newsletter • 688 implied HN points • 28 Feb 26
đź•ą Technology AI safety National Security Corporate ethics Defense Tech Tech Policy Artificial Intelligence
  1. Dario Amodei showed courage standing up to the Pentagon, but he’s not a pacifist. He supports using advanced AI to defend democracies and has said fully autonomous weapons can have legitimate uses.
  2. Anthropic has abandoned its core Responsible Scaling Policy and will release models even when it isn’t confident in their safety, so Amodei’s image as an unwavering AI-safety champion is overstated.
  3. The real problem is systemic: big AI firms are already defense contractors and contract language like “all lawful uses” won’t guarantee respect for international law or prevent harmful military uses, so lasting change needs policy and regulation, not just individual standoffs.

A knockout blow for LLMs?

Marcus on AI • 47783 implied HN points • 07 Jun 25
đź•ą Technology Neural Networks Machine Learning AI
  1. LLMs have a hard time solving complex problems reliably, like the Tower of Hanoi, which is concerning because it shows their reasoning abilities are limited.
  2. Even with new reasoning models, LLMs struggle to think logically and produce correct answers consistently, highlighting fundamental issues with their design.
  3. For now, LLMs can be useful for certain tasks like coding or brainstorming, but they can't be relied on for tasks needing strong logic and reliability.
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a dream within a dream

Secretum Secretorum • 353 implied HN points • 25 Feb 26
đź“– Philosophy Metaphysics Religion Mythology Consciousness Comparative Religion Cosmology
  1. Many myths picture the world as a dream or mental creation of a deity whose move from sleep or dream into wakefulness is what makes the world solid and real.
  2. There’s a trade-off: dreaming gives unconstrained creative freedom, while entering the dream and becoming lucid brings self-reflection but also limits, needs and constraints.
  3. A recurring motif is that the creator or the soul gets lost inside the creation and must be reminded or find clues to remember its true origin and return home.

You Spent Your Whole Life Getting Good at the Wrong Thing

The Algorithmic Bridge • 1815 implied HN points • 07 Feb 26
đź•ą Technology Artificial Intelligence Future work Productivity Tools Decision-making AI agents
  1. AI is making the 'how' of work much cheaper, so the real bottleneck is deciding what to do and what you actually want to achieve.
  2. Human skills that matter now are different: taste, judgment, initiative, decision‑making, curiosity, and the ability to manage agents — and each is a distinct skill to practice.
  3. Many people will resist because execution feels devalued, so you need to update your self‑image, embrace curiosity, and learn to ask better 'wishes' if you want to get the most from these tools.

The St. Louis Fed reminding me I can still be surprised

Erdmann Housing Tracker • 105 implied HN points • 16 Mar 26
đź’° Finance Credit Markets Monetary Policy Financial regulation Housing Mortgages Real Estate
  1. The 2008 mortgage crackdown was a huge, lasting drop in buyer demand that reshaped housing markets, and leaving it out of explanations leads to misleading conclusions about rising prices.
  2. Most post-2009 price gains happened in the cheapest neighborhoods because investors bought up homes left unattainable to denied buyers, so investor activity often signals the mortgage access collapse rather than acting as an independent cause.
  3. Homebuilding capacity fell after 2008 and completions remain well below pre-crisis levels, meaning supply shifted left and affordability worsened; treating the crash as an inevitable, unquestioned correction blocks better policy thinking.

The Fed's Independence is at Stake and it May Be Its Own Fault!

TK News by Matt Taibbi • 2849 implied HN points • 21 Jan 26
đź’° Finance Political Influence Central Banking Interest Rates Quantitative Easing Monetary Policy Financial Stability
  1. The Fed’s independence is under direct political threat, as prosecutions and public attacks on its chair show how easily monetary policy can be politicized.
  2. Since 2008 the Fed gained huge powers (QE and near-zero rates) and its leaders became public celebrities, which makes their decisions more influential and more attractive targets for presidents who want easier policy.
  3. By failing to stop the pre-2008 bubble and then rescuing the system with extraordinary tools, the Fed created moral hazard and invited interference; protecting independence means avoiding normalizing emergency policies and dialing back the public spotlight.

Disinflation is here: But it's not the kind we want!

COVID Reason • 376 implied HN points • 14 Oct 24
đź’° Finance Inflation Economics Economic Policy Federal Reserve Consumer prices
  1. Disinflation means prices are rising more slowly, but that doesn't always mean good news. If people aren't spending because they can't afford things, it can signal trouble in the economy.
  2. The Federal Reserve may lower interest rates in response to disinflation to try and encourage spending, but this might just be a way to show they are doing something without fixing the deeper issues.
  3. Sticky prices and disinflation can show that people are struggling financially. For a healthy economy, we need wages to rise so people can spend more, rather than just seeing temporary price drops.

SpaceX Magic

Chris’s Substack • 239 implied HN points • 18 Oct 24
đź•ą Technology Aerospace Space Exploration Transport Innovation Engineering
  1. SpaceX successfully launched Starship and caught its returning booster mid-air using a unique chopsticks method. This makes the booster reusable, saving fuel for future launches.
  2. With plans for future flights, SpaceX is addressing small issues found in the last flight to ensure their next mission goes smoothly and demonstrates reliable reentry.
  3. Starship is being designed for missions to the Moon and Mars, and with improved technology, SpaceX aims to make space travel affordable and accessible for many in the future.

Fixing Faulty Gradient Accumulation: Understanding the Issue and Its Resolution

The Kaitchup – AI on a Budget • 159 implied HN points • 21 Oct 24
đź•ą Technology Data science AI Machine Learning Model Training Computing
  1. Gradient accumulation helps train large models on limited GPU memory. It simulates larger batch sizes by summing gradients from several smaller batches before updating model weights.
  2. There has been a problem with how gradients were summed during gradient accumulation, leading to worse model performance. This was due to incorrect normalization in the calculation of loss, especially when varying sequence lengths were involved.
  3. Hugging Face and Unsloth AI have fixed the gradient accumulation issue. With this fix, training results are more consistent and effective, which might improve the performance of future models built using this technique.

The ELYSIUM Proposal

Transhuman Axiology • 337 implied HN points • 15 Oct 24
đź•ą Technology Ethics Futurism Society Philosophy AI
  1. The ELYSIUM proposal suggests creating unique personal utopias for everyone, where each person can design their ideal environment. These utopias would be guided by an ideal version of themselves, ensuring their choices lead to happiness and fulfillment.
  2. While individualized utopias sound great, there will be challenges regarding resources since they might be limited. People will need to negotiate how to share and allocate these resources without conflict.
  3. For this vision to come true, it's important to establish strong property rights and ensure people control AI. If that doesn't happen, there's a risk that society could fall apart or even face extinction due to potential AI dangers.

SpaceX Evolution (Appendix C: Why SpaceX Not NASA)

Chris’s Substack • 79 implied HN points • 25 Oct 24
đź•ą Technology Commercialization Entrepreneurship Aerospace Innovation Space Exploration
  1. NASA has become more inefficient over time, losing its ability to innovate and push space technology as its bureaucracy has grown.
  2. In contrast, SpaceX is agile and focused, quickly developing new technology without the red tape that hampers NASA's progress.
  3. NASA's current projects may be less ambitious than what SpaceX could achieve, highlighting SpaceX's crucial role in future space exploration.

Fuck the robots: I'm at war

Disaffected Newsletter • 3217 implied HN points • 05 Aug 24
đź•ą Technology Automation Customer Service Telecommunications Consumer Tech AI
  1. Many companies, like Comcast, make it hard to reach a real person for help. They use robots that can frustrate customers instead.
  2. Even experienced users might find it challenging to solve problems because the company's FAQ doesn't cover every issue.
  3. Customers deserve better service, especially when they are paying high rates. It's important to voice frustrations to push for change.

There's a goldmine hiding in your content archives

Simon Owens's Media Newsletter • 349 implied HN points • 25 Feb 26
đź’Ľ Business Subscriptions Media Creator Economy Journalism Advertising Platforms Startups
  1. Evergreen content in your archives is a goldmine that’s often overlooked. Regularly resurfacing older articles can boost reader interest and significantly increase subscription conversions.
  2. AI is changing how sourcing works and raising the risk of fake experts and AI-generated commentary. Publishers need stronger verification and access to vetted expert networks to protect trust.
  3. The creator economy and platform monetization are evolving fast, with subscriptions, royalty-tracking tools, and brand deals creating new revenue paths. Creators and startups that capture scale or better revenue tools can reshape how media dollars are distributed.

Where are Vacation Homes Located in the US?

Construction Physics • 30899 implied HN points • 24 Jul 25
đź’Ľ Business Housing Market Consumer behavior Market Trends Real Estate Economics
  1. Florida, California, and New York have the most vacation homes in the US, but states like Maine and Vermont have a higher percentage of vacation homes compared to their total housing.
  2. Vacation homes are mostly found near beaches, lakes, and ski resorts, showing that people prefer locations with natural attractions and activities.
  3. The growth of vacation homes has not kept pace with economic growth, indicating challenges like construction costs and zoning laws that make it harder to build new homes.

Little Echo

Don't Worry About the Vase • 7437 implied HN points • 08 Dec 25
đź•ą Technology Ethics Technology Policy Artificial Intelligence Activism Community AI safety Existential Risk
  1. Even though the future with advanced AI looks grim and the odds feel against us, it's important to hold a defiant belief that we can still win. That belief fuels continued effort.
  2. You can fully love life and its everyday joys while still dedicating yourself to hard, urgent work to influence the outcome. Both living well and fighting for the future are worth doing at once.
  3. Persisting means doing the messy daily work: triaging, arguing, changing your mind, and moving pieces where you can, even when overwhelmed. Shared rituals and communities help sustain courage and focus.

How to buy a duplex (or triplex)

Supernuclear • 579 implied HN points • 07 Oct 24
đź’Ľ Business Real Estate Law Housing Investing Finance
  1. Buying a duplex or triplex can save you money compared to single-family homes. They are typically about 30% cheaper per square foot, making them an affordable option for many.
  2. Duplexes offer a blend of private space and the ability to live close to friends. You can enjoy your own area while still maintaining close connections with others.
  3. There are different ways to buy a duplex, each with its own financial and legal considerations. It's important to explore these options to find what works best for your situation.

How Verifier Loops Made AI Coding Useful | The Rise of Vibeware, Abandonware and Technical Debt as Consequence

Mind Prison • 25 implied HN points • 22 Mar 26
đź•ą Technology Developer Tools Productivity Artificial Intelligence Software Engineering Security Open Source
  1. Verifier loops and coding harnesses let hallucinating LLMs iterate with compilers and tests, turning them into useful tools for formally verifiable coding tasks.
  2. That power accelerates copying and abuse: easy cloning of code and IP, new forms of malware and a flood of low-quality or abandoned apps, plus immediate growth of technical debt and management overhead.
  3. Despite some real wins, AI coding is still costly and risky — token-burning, unpredictable hallucinations, and catastrophic failures are common, so gains only appear for small, verifiable tasks under experienced human oversight.

How Many People Does It Take to Kill a ChatGPT?

The Algorithmic Bridge • 414 implied HN points • 04 Mar 26
đź•ą Technology Consumer Tech Artificial Intelligence Market Dynamics Mobile Apps Enterprise AI Product Strategy
  1. The QuitGPT boycott caused a big spike in uninstalls and helped Anthropic’s Claude grab attention, but millions leaving are a tiny fraction of ChatGPT’s ~900 million weekly users and a negligible hit to OpenAI’s revenue.
  2. ChatGPT was already losing market share to competitors like Claude, Google’s Gemini, and Grok, and enterprise customers have shifted significantly toward Anthropic.
  3. Social-science tipping-point research implies you’d need roughly 25% of users (about 225 million) to flip to truly topple a dominant platform, so individual cancellations and the current boycott are far from decisive, though enterprise losses, talent drains, and funding risks still threaten OpenAI.

Acknowledgements for *Unbeatable*

Bet On It • 286 implied HN points • 03 Mar 26
đź’Ľ Business Publishing Academia Authorship Economics Libertarianism
  1. Economics can transform a life by giving clear mental tools to solve puzzles and by providing deep intellectual enjoyment and a rewarding career.
  2. Decades of study produce distilled, hard‑earned insights that embrace difficult truths and make a candid, robust case for free markets.
  3. Close colleagues, candid critics, and family support are essential for shaping, improving, and finishing major intellectual projects.

The Bear Cave #311

The Bear Cave • 1352 implied HN points • 01 Feb 26
đź’° Finance Stocks Corporate Governance Accounting
  1. Multiple activist and short-seller reports allege accounting problems, sanction breaches, and misleading partnerships at a number of public companies, driving fresh scrutiny of firms like Ubiquiti, Richtech, and Carvana.
  2. There’s notable executive turnover, especially sudden CFO departures and terminations, which could point to governance or financial-control issues at affected companies.
  3. Regulators, the press, and research groups are increasingly calling out fraud, disclosure failures, and suspected pump-and-dump activity, underscoring heightened market and legal risks for investors.

Claude Coworks

Don't Worry About the Vase • 3449 implied HN points • 13 Jan 26
đź•ą Technology Agents Interfaces Security AI Software Automation Productivity
  1. Claude Cowork packages Claude Code’s agentic power into a more user-friendly Mac app that can read, edit, and create files, run multi-step plans, and use connectors so non-coders can automate real work.
  2. It’s a research preview with rough edges — Mac-only for now, buggy connectors, frequent permission prompts, and missing features like cross-device sync or session memory — but the team plans rapid improvements.
  3. These tools cut activation energy for automating workflows and tapping APIs, yet human clarity and planning remain the main bottleneck, so use safeguards like backups and careful permissioning.

I Used ChatGPT Vision and DALL-E 3 to Bring My Drawings to Life

Artificial Corner • 238 implied HN points • 18 Oct 24
đź•ą Technology Human-AI Interaction Creative Process Digital Art Software Applications AI Tools
  1. You can use ChatGPT Vision and DALL-E 3 to turn your drawings into beautiful digital images. Just upload your drawing and get a detailed description to recreate it.
  2. Even simple sketches can be transformed into stunning visuals using these tools. They can enhance not only complex art but also quick doodles.
  3. You can also use ChatGPT to convert math formulas from screenshots into LaTeX code, making it easier to create professional-looking documents for school or research.

I spent 8 hours learning Parquet. Here’s what I discovered

VuTrinh. • 1658 implied HN points • 24 Aug 24
đź•ą Technology Data processing Data Storage Data Engineering Analytics
  1. Parquet is a special file format that organizes data in columns. This makes it easier and faster to access specific data when you don't need everything at once.
  2. The structure of Parquet involves grouping data into row groups and column chunks. This helps balance the performance of reading and writing data, allowing users to manage large datasets efficiently.
  3. Parquet uses smart techniques like dictionary and run-length encoding to save space. These methods reduce the amount of data stored and speed up the reading process by minimizing the data that needs to be scanned.

The Overview Of Apache Spark

VuTrinh. • 879 implied HN points • 07 Sep 24
đź•ą Technology Open Source Distributed Systems Software Engineering Data processing Cloud Computing
  1. Apache Spark is a powerful tool for processing large amounts of data quickly. It does this by using many computers to work on the data at the same time.
  2. A Spark application has different parts, like a driver that directs processing and executors that do the work. This helps organize tasks and manage workloads efficiently.
  3. The main data unit in Spark is called RDD, which stands for Resilient Distributed Dataset. RDDs are important because they make data processing flexible and help recover data if something goes wrong.

The Claude Constitution's Ethical Framework

Don't Worry About the Vase • 2284 implied HN points • 27 Jan 26
đź•ą Technology Machine Learning AI Governance AI safety AI Ethics Transparency Decision Theory
  1. Design the AI around virtue ethics: aim for it to be a genuinely good, wise, and practically skillful agent who behaves like a deeply ethical person rather than getting stuck resolving abstract philosophical debates.
  2. Treat honesty as a near‑absolute norm: avoid white lies and manipulation, be transparent about uncertainty and intentions, and refuse instructions that would require deceptive or harmful behavior.
  3. Combine firm hard constraints with nuanced value balancing: explicitly forbid aiding mass harm (weapons, cyberattacks, power grabs, CSAM) while weighing competing values like education, autonomy, fairness, and harm prevention, and handle moral uncertainty with coherent, context‑sensitive judgment.

March 12: How To Talk To People

Respectful Leadership • 54 implied HN points • 08 Mar 26
đź’Ľ Business Public Relations Customer Experience Human Resources Employee engagement Leadership Communication
  1. Match your message to the listener — journalists, customers, investors, and coworkers each want different stories, so lead with what matters to them.
  2. Listen actively to hear the meaning behind people’s words; ask clarifying questions and reflect back what you heard so you can improve products, pitches, or service.
  3. Practice emotional fluency and tend to your inner dialogue as a leader; being authentic and empathetic creates safety, motivation, and higher-performing teams.

Top 5 Tech Stories of 2025 (According to Lunduke Journal's Viewers)

The Lunduke Journal of Technology • 3446 implied HN points • 02 Jan 26
đź•ą Technology Privacy Programming Languages Tech Journalism Tech news Open Source
  1. Tech news in 2025 was dominated by culture-war controversies, including clashes over DEI, activist campaigns targeting prominent developers, inflammatory language, and privacy worries.
  2. A major push to replace C with Rust triggered debate as several high-profile migrations reported slower performance, bugs, or even outages.
  3. At least one independent tech publisher reported unusually large audience numbers and several exclusive scoops, highlighting big monthly view counts and steady subscriber growth.

Fact checking Moravec's paradox

AI Snake Oil • 1797 implied HN points • 29 Jan 26
đź•ą Technology AI Policy Robotics Machine Learning Artificial Intelligence AI Ethics Computer Vision
  1. The idea that tasks humans find hard are easy for AI, and vice versa, isn't backed by solid evidence. It's largely a selection effect because researchers focus on problems they find interesting and ignore tasks that are too easy or too hard to bother with.
  2. The evolutionary story that perception and motor skills are inherently harder than abstract reasoning is shaky. Whether a task is easy or hard for AI depends on domain openness, feedback, and available data, and breakthroughs (like deep learning for vision) can change what's difficult.
  3. Relying on that rule of thumb to predict AI's next moves is misleading. It's better to plan for how new capabilities are actually deployed and build adaptable policies, since diffusion, infrastructure, and real-world constraints shape impacts more than simple capability predictions.

Economics Links, 2/22/2026

In My Tribe • 334 implied HN points • 22 Feb 26
đź’Ľ Business Wealth Inequality Financial Markets Demographics Labor markets Innovation Economic Policy
  1. The top 1%’s bigger share of wealth is driven more by rising stock-market valuations than by larger underlying profits, so a fall in price-to-earnings ratios could compress that share.
  2. Retirees hold a much larger slice of household wealth mainly because the baby-boom generation has grown as a share of the population, so demographics explain much of the increase in elderly wealth.
  3. High costs of laying off workers in many European countries discourage firms from creating risky, experimental jobs, which tilts businesses toward safe, unchanging activities and reduces disruptive innovation.

Gas town

benn.substack • 1431 implied HN points • 30 Jan 26
đź•ą Technology AI Ethics Artificial Intelligence Software Engineering Automation Startups Tech Culture Compute Infrastructure
  1. Gas Town imagines AI as a sprawling factory of agents that spawn more agents to write, test, and fix code, producing enormous and fast but often messy output. Progress there is driven by throughput and relentless experimentation, so lots of work is wasted as part of the process.
  2. This speed-first, industrialized approach fuels hype and frantic product churn but is unsustainable: it creates feature bloat, enormous compute and financial waste, and most of the many experiments and startups will fail. The result is not utopia but anxiety, short lifecycles, and uneven value creation.
  3. All that frantic online building can distract from real-world problems that need people in the streets and communities on the ground. Individuals face a choice between staying locked into endless 'vibe coding' or stepping away to do tangible, local work that actually helps neighbors.

The Introduction of Formal QA to Nuclear Power

Gordian Knot News • 102 implied HN points • 15 Mar 26
đź•ą Technology Quality Assurance Energy Policy Engineering Regulation Nuclear power
  1. The AEC turned vague goals (Criterion 1) into mandatory but open‑ended QA rules (Appendix B), leaving huge discretion to regulators and enabling continual escalation of requirements.
  2. Formal QA became self‑reinforcing: more inspections and reported nonconformances generated more demands for tests and paperwork, driving up costs and sometimes crowding out real quality enforcement.
  3. A pragmatic, layered inspection model — yard QC, independent classification inspectors, and owner inspectors — can enforce quality effectively without drowning projects in paperwork, unlike the paperwork‑focused regulatory approach that wasn’t even applied internally.

The AI Mexican Standoff

Machine Learning Everything • 1379 implied HN points • 30 Jan 26
đź•ą Technology Careers AI Workforce Startups Engineering Design Product
  1. AI is blurring the lines between engineers, product managers, and designers because it can handle many tasks from each role.
  2. People who learn a bit of multiple disciplines and master AI orchestration become far more valuable — a super-empowered generalist can design, code, and ship products alone.
  3. Jobs are just bundles of tasks, and those tasks will shift with AI, so you must keep swapping skills (like AI-assisted coding and orchestration) to stay relevant as roles evolve.

Substack is your corner of the internet

Substack Blog • 1668 implied HN points • 02 Feb 26
đź•ą Technology Apps Platform Monetization Customization Communities Product
  1. Apps will show custom themed views for Substacks (starting on iOS), so tapping a publication brings you into its branded space with the newest post and a feed of that Substack’s notes and posts.
  2. Creators will soon be able to include community contributions and recommended Substacks in their feeds with optional controls and moderation, letting a Substack be a solo voice, a salon, or a broader community hub.
  3. Substack’s aim is to give creators both independence and scale: you can keep your own branding and relationships while still benefiting from discovery, recommendations, and network effects.

AI #153: Living Documents

Don't Worry About the Vase • 2060 implied HN points • 29 Jan 26
đź•ą Technology Cybersecurity Automation Ethics Hardware AI Policy Machine Learning Artificial Intelligence
  1. Language models are already delivering large, mundane productivity gains, especially for text and code, and recent upgrades and integrations (browser side panels, interactive tools, Codex/Claude Code) are making them easier to use in everyday workflows.
  2. AI is advancing rapidly and bringing real risks: easier cyberoffense and AI-generated malware, deepfakes and misinformation, and geopolitical chip supply issues, while lab leaders say a coordinated slowdown would help but competition makes that unlikely.
  3. Alignment and human impacts remain unresolved—models still show biases, can steer users away from their values or actions, and internal reasoning is hard to monitor—so both technical alignment work and urgent governance are needed.

Everyone Loves The Idea Of AI, But Not The Reality

High ROI Data Science • 615 implied HN points • 06 Oct 24
đź•ą Technology Business Data Platforms Training Modeling AI
  1. Many businesses love the idea of AI but find it hard to put into practice. It often looks easy on paper, but the reality is very different when trying to make it work.
  2. Data is really important for AI to work well. Companies need good data to build effective AI products, and often, they realize this too late after facing challenges.
  3. AI projects often fail because businesses don’t fully understand what they need to achieve. Companies should focus on solving real problems rather than just using the latest technology.

Bet On It Book Club: For a New Liberty, Chapter 6

Bet On It • 60 implied HN points • 13 Mar 26
đź“– Philosophy Libertarianism Legal Philosophy Ethics Political Philosophy Social theory
  1. Personal liberty should be broad: people should be allowed extreme speech (even libelous or slanderous claims), full drug legalization is preferred to criminalization or forced treatment, and warrantless wiretapping of innocent people is a criminal violation.
  2. Many policies usually labeled 'right-wing' are really civil-liberty issues: government control of the airwaves, bans on tobacco advertising, and gun-control laws can unjustly restrict speech and the rights of peaceful, law-abiding people.
  3. Treating orders to commit crimes as making someone an accessory matters a great deal: if leaders who direct or incite harmful actions aren’t held as accessories, then incitement and conspiracy can’t be shrugged off as mere speech.

Has the Chinese government figured out the fact that GPUs ≠ AGI?

Marcus on AI • 6165 implied HN points • 09 Dec 25
đź•ą Technology Hardware AI Policy Geopolitics Trade National Security
  1. China is holding back on buying Nvidia H200 GPUs, which suggests they may recognize that more GPU hardware doesn't automatically mean AGI.
  2. Loading up on expensive AI infrastructure now could be premature because hardware and approaches can quickly become outdated or lose value, so hoarding chips might not pay off.
  3. The first country to appreciate that GPUs ≠ AGI could gain a major strategic and economic advantage in the next phase of AI development.