The hottest Substack posts right now

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The Analytical Skills No One Teaches You

SeattleDataGuy’s Newsletter • 1165 implied HN points • 23 Jan 26
💼 Business Data science Leadership Strategy Analytics Product Metrics Reporting
  1. Practice analytical intuition by doing rough estimates, breaking problems into proxy values, understanding baselines and natural variance, and always running manual spot checks instead of blindly trusting tooling.
  2. When a metric moves unexpectedly, first confirm the data with multiple sources, then generate and test product, market, user, and external hypotheses to pinpoint the root cause and escalate with concrete analysis.
  3. Choose KPIs that are relevant, measurable, specific, prioritized, and balanced — pick the right type (North Star, top-level, secondary, or OMTM), avoid vanity metrics, and use simple, trusted proxy metrics tailored to your product.

Buying Futures, Renting the Past: How Speculation and Nostalgia Became the Economy

Kyla’s Newsletter • 456 implied HN points • 12 Feb 26
💼 Business Financial Markets Macroeconomy Geopolitics Speculation Consumer Culture Labor markets Artificial Intelligence
  1. Speculation and nostalgia are two escape routes people use to avoid the present: betting on a better future or clinging to a rosy past gives temporary comfort or agency but doesn’t solve real economic problems.
  2. The economy is shifting to a capital‑and‑AI driven, statistical model where GDP can grow without creating many jobs, so profits rise while everyday material participation and incomes lag behind.
  3. Neither nostalgia nor speculation rebuilds material participation; meaningful policy, real jobs, and opportunities are needed, and younger generations may push to reclaim a present that fairly links effort to outcomes.

Notes of many things

Philosophy bear • 114 implied HN points • 11 Mar 26
📖 Philosophy Metaphysics Moral Psychology Ethics Political Philosophy Aesthetics Social Philosophy Philosophy of Mind Epistemology
  1. Many people form quick, lasting judgments about others and then defend those first impressions forever, and that habit of instant categorizing gives people a false sense of power and can warp institutions that need fair judgment.
  2. Mental illness often explains or partly explains harmful actions, which makes blaming people complex, and treating disorders like OCD is delicate because you must both teach tolerance for uncertainty and correct exaggerated fear estimates.
  3. Luxury consumption rarely brings deep, lasting happiness and can waste time and money that would buy richer social experiences, and making traits like beauty or sex fully mutable would, for many, remove a central source of meaning in life.

Dreams of Stability

Working Theorys • 605 implied HN points • 16 Feb 26
🕹 Technology Careers Startups Venture Capital AI Workforce Creators Platforms
  1. Stability is the new status in tech: people now prefer safety nets like big AI labs or well‑funded VC backing because they offer proximity to money, information, and lower downside.
  2. Paths are polarizing — the winners are either boarding the big 'New Corporate' ships, founding with strong safety nets, or thriving as focused indies and service providers; the mid‑tier is hollowing out.
  3. Real, lasting security comes from a portfolio approach — investing in craft, relationships, health, and audiences rather than betting everything on quick exits or single signals.

Interpolation Is All You Need

arg min • 317 implied HN points • 08 Oct 24
🕹 Technology Data science Machine Learning Optimization AI
  1. Interpolation is a process where we find a function that fits a specific set of input and output points. It's a useful tool for solving problems in optimization.
  2. We can build more complex function fitting problems by combining simple interpolation constraints. This allows for greater flexibility in how we define functions.
  3. Duality in convex optimization helps solve interpolation problems, enabling efficient computation and application in areas like machine learning and control theory.
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Dr. Tokens or: How I Learned to Stop Worrying and Love the AI Bubble

Investing 101 • 119 implied HN points • 28 Feb 26
🕹 Technology Regulation Competition Infrastructure Investing Artificial Intelligence
  1. Mass market manias and speculative bubbles often fund the heavy infrastructure and breakthroughs we later rely on, so irrational hype can leave behind durable, world-changing assets.
  2. Bubbles create real benefits — massive infrastructure, talent concentration, rapid experimentation, and a library of failures to learn from — but they also produce serious harms like surveillance, dependency, regulatory capture, and locked‑in power structures.
  3. Because individual actors follow their incentives, the AI buildout becomes effectively inevitable and hard to stop; the sensible response is nuance—accept tradeoffs, push for responsibility and governance, and avoid both blind cheerleading and paralyzing despair.

How Common is Multiple Invention?

Construction Physics • 24636 implied HN points • 05 Jun 25
🕹 Technology Inventions Engineering Innovation Discovery Science
  1. Multiple invention happens often, with many famous inventions being created by different people at the same time. This shows that many ideas can seem obvious or inspired by similar problems.
  2. Over half of the inventions studied had some form of multiple efforts toward creation, and nearly 40% were successful near-successes. This suggests that important inventions attract a lot of creative minds.
  3. The rate of multiple invention didn't change much over time, implying that when certain conditions are right, many people are likely to think of similar solutions to the same challenges.

Manufactured Inevitability and the Need for Courage

The Convivial Society • 3308 implied HN points • 15 Dec 25
🕹 Technology Social Impact Tech History Artificial Intelligence Tech Ethics Tech Policy Higher education
  1. Technological inevitability is a myth; there are real choices about which technologies are adopted and many alternative paths get ignored.
  2. Powerful actors often manufacture inevitability by normalizing and mandating AI, which shifts responsibility away from those who shape technology.
  3. Ordinary civil courage is needed: people and professionals must make moral choices and resist pressure to accept technologies as unavoidable.

Cursed circuits: charge pump voltage halver

lcamtuf’s thing • 4693 implied HN points • 02 Dec 25
🕹 Technology Electronics Engineering Components Digital Design Circuits
  1. Charge pumps are efficient circuits that can double voltage using capacitors. They work by transferring charge between capacitors to create a higher voltage output.
  2. Unlike standard voltage dividers, a specific charge pump design can halve voltage. This is done by using capacitors in series and moving a 'flying' capacitor to balance the voltages.
  3. The charge transfer stabilizes the output voltage at half the supply, which is different from typical voltage dividers since it doesn't depend on the size of the capacitors.

On Odd Lots, some guests are more perfect than others

networked • 71 implied HN points • 03 Mar 26
🕹 Technology Artificial Intelligence Product Management Data Privacy Web Apps No Code
  1. A public web app pulls Odd Lots episodes, transcribes them, and extracts guests' predictions so people can track outcomes and see who was most accurate. The results aren’t perfect, so users can flag errors.
  2. AI-first tools like Lovable can turn an idea into a working product in hours by stitching together integrations (transcription, verification, hosting) and lowering the technical lift for non-developers.
  3. The same capability to index and resurface throwaway comments makes past public statements easily searchable and verifiable, creating new privacy and accountability risks that can expose people years later.

Love, Sex, and the Meaning of Life

Fake Noûs • 554 implied HN points • 14 Feb 26
📖 Philosophy Relationships Meaning Ethics Moral Psychology
  1. It's morally wrong to deceive someone about your intentions in dating, and it becomes especially serious if you let them invest time or expect a long-term commitment you don't intend to give.
  2. A meaningful life is built mainly on loving relationships and moral integrity, not on wealth, power, or fame.
  3. True love isn't guaranteed for everyone, so focus on becoming an honest, healthy, and considerate partner rather than just blaming the dating market.

This Week in Marketing: Instagram has links, Disney is Quibi, and Perplexity exits Amazon

The Social Juice • 53 implied HN points • 15 Mar 26
💼 Business Marketing Advertising Social media Platforms Media E-commerce AI
  1. Social platforms are racing to capture attention with new formats and creator tools, from clickable links and edit features on Instagram to Disney’s vertical 'Verts' and TikTok’s radio and podcasts.
  2. AI is reshaping content and commerce but also causing legal, safety, and trust headaches — shopping agents face blocks, deepfakes and misinformation are rising, and publishers are pushing licensing and protections.
  3. Big tech is changing business models and controls by shifting costs to advertisers, altering privacy and moderation rules, and rolling out ad and AI features that could reduce traditional traffic and revenue.

Moral Motivation

Fake Noûs • 218 implied HN points • 28 Feb 26
📖 Philosophy Moral Psychology Metaethics Ethics Free will
  1. Evaluative beliefs and moral judgments can themselves motivate and justify actions, so not all reasons for action come from appetites or emotions.
  2. The Humean claim that all reasons derive from desires breaks down when you examine foresight, imagination, coherence, and deliberation, supporting a rationalist view that objective evaluative facts make actions rational.
  3. Treating moral and prudential judgments as distinct kinds of motive explains weakness of will and preserves a meaningful sense of free choice, because you can’t simply compare different kinds of motives by strength.

AI as Electricity, AI as Magic

New World Same Humans • 30 implied HN points • 16 Mar 26
🕹 Technology Infrastructure Platforms Product Hardware Business Models AI
  1. AI will show up in two ways: as cheap, widely available "electricity" that powers systems, and as "magic"—deeply personalized, context-aware tools that feel like enchantment.
  2. Selling raw model access is a commodity business and risks a race to the bottom on price, because many models are already good enough for most needs.
  3. The real winners will build AI magic by combining models with product design, user context, hardware, and distribution, and incumbents with strong user relationships have a major advantage.

NeXTWorld Interviews Bud Tribble, One of the NeXT Founders (1994)

Computer Ads from the Past • 1024 implied HN points • 01 Feb 26
🕹 Technology Developer Tools Distributed Systems Operating Systems Software Programming Languages Standards
  1. Sun picked NeXT’s OpenStep because it was a shipping, customer-tested object application environment that fit their distributed-object vision and gave a clear time-to-market advantage over building something new or waiting for competitors.
  2. OpenStep is being promoted as an industry standard through bodies like OMG and X/Open, but standardization will be gradual and will require proven implementations; it’s designed to work across languages and CORBA/IDL boundaries for interoperability.
  3. OpenStep will coexist with procedural environments and Windows compatibility on the same desktop, aiming for smooth interoperability (shared imaging, cut/copy/paste, and even a common Dock concept), while NeXT and Sun collaborate on ports and future evolution alongside licensing and platform sales.

Introducing Your Weekly Stack

read • 38031 implied HN points • 07 Jun 23
🕹 Technology Writing News Email
  1. Substack is introducing a new email digest called Your Weekly Stack to help readers discover new stories and writers on the platform.
  2. Your Weekly Stack will be sent every Wednesday, providing a roundup of curated posts for subscribers.
  3. Readers can provide feedback on Your Weekly Stack and opt out at any time if they do not find it suitable.

Be a Bridge Builder

The Engineering Leader • 99 implied HN points • 20 Oct 24
🕹 Technology Leadership Engineering Collaboration Innovation Career development
  1. Technical skills are important for engineers, but to become a leader, you also need to connect with other teams and understand the bigger picture. It's about being a bridge builder, not just a tech expert.
  2. Having strong communication skills helps in explaining your work to others and getting their feedback. This way, everyone can work better together.
  3. To grow into a leadership role, seek opportunities to collaborate with different departments, learn about the company's goals, and create a culture of teamwork.

AI #149: 3

Don't Worry About the Vase • 2598 implied HN points • 01 Jan 26
🕹 Technology Software Engineering Automation Compute Hardware Artificial Intelligence Machine Learning AI safety AI Policy
  1. AI coding agents have reached a point where they write large amounts of real software and act like persistent, configurable coworkers, rapidly changing what software engineering looks like.
  2. Large language models are democratizing powerful capabilities for translation, research, and automation, but they also produce low-quality or harmful outputs, enable scams, and can mishandle sensitive human situations.
  3. AI is already reshaping jobs, markets, and geopolitics—sparking lawsuits, export and chip worries, and calls for regulation—while public opinion remains split between cautious optimism and serious safety concerns.

How To Break Up With Your Toxic Acid

Intercalation Station • 59 implied HN points • 23 Oct 24
🕹 Technology Sustainability Innovation Chemistry Batteries Manufacturing
  1. Fluorine plays a big role in making lithium-ion batteries better. It's important for key parts like the electrolyte salt that helps the battery work efficiently.
  2. Hydrogen fluoride is super toxic and can cause serious harm on contact. Finding safer ways to handle fluorine is crucial for both workers and the environment.
  3. FluoRok, a new company, is working to make fluorination safer and more sustainable. They aim to provide a better way to create essential materials without the risks associated with traditional processes.

OpenAI’s Waterloo? [with corrections]

Marcus on AI • 14900 implied HN points • 14 Aug 25
🕹 Technology Media Innovation Criticism Machine Learning AI
  1. OpenAI has overhyped its AI models, especially GPT-5, leading to disappointment among users. Many now realize that the promises made about the technology were not delivered.
  2. Critics of AI, who have been dismissed in the past, are starting to gain recognition as the limitations of current models become clearer. The scientific community believes that a new approach may be necessary to advance AI technology.
  3. The situation reveals that the science of AI isn’t about popularity; it’s about truth and progress. It's important to listen to critiques and recognize that real advancements need honest discussions.

Bet On It Book Club: For a New Liberty, Chapter 5

Bet On It • 115 implied HN points • 06 Mar 26
📖 Philosophy Libertarianism Political Philosophy Ethics Property Rights Legal theory Social theory
  1. Involuntary servitude is unacceptable. Many state practices—like the draft, strict military rules, taxation, subpoenas, jury duty, and psychiatric commitment—function as forms of forced labor or control over people’s bodies.
  2. The state’s coercive powers should be curtailed through legal changes. Ideas include abolishing subpoenas in favor of trials in absentia and treating income taxation as a form of forced labor that merits radical abolition or privatization.
  3. Self-ownership means people should be free to quit jobs or service, facing only moral, financial, or reputational consequences rather than physical coercion. Government-created privileges for unions distort the market, so removing those privileges is preferable to adding more regulation.

AI Haves and Have-Nots

Dana Blankenhorn: Facing the Future • 59 implied HN points • 23 Oct 24
🕹 Technology Data security Market Trends Internet Innovation AI
  1. AI tools are becoming more focused on specific markets rather than serving everyone broadly. Companies are looking for niche areas to make money instead of trying to compete with big players.
  2. Using AI will likely come with costs in the future, leading to a divide between those who can afford it and those who cannot. This shift could create a two-tiered internet experience.
  3. As AI and tech services become paywall-heavy, they may lose a lot of casual users, much like publications did when they went behind paywalls. This might limit access to quality information for many people.

I spent 5 hours learning how Google lets us build a Lakehouse.

VuTrinh. • 139 implied HN points • 24 Sep 24
🕹 Technology Cloud Computing Analytics Tools Information Storage Software Development Data Engineering
  1. Google's BigLake allows users to access and manage data across different storage solutions like BigQuery and object storage. This makes it easier to work with big data without needing to move it around.
  2. The Storage API enhances BigQuery by letting external tools like Apache Spark and Trino directly access its stored data, speeding up the data processing and analysis.
  3. BigLake tables offer strong security features and better performance for querying open-source data formats, making it a more robust option for businesses that need efficient data management.

China's industrial policy has an unprofitability problem

Noahpinion • 22412 implied HN points • 20 Jun 25
💼 Business Economics Trade Industry Policy Manufacturing
  1. China's industrial policy is pushing many manufacturers to compete heavily for a limited domestic market. This competition is driving down profit margins as companies fight for customers.
  2. Despite heavy government support and subsidies, many Chinese manufacturers are struggling with profitability and facing price wars that could lead to bankruptcies. This creates a risk of economic instability.
  3. The focus on making more products instead of better ones can hurt innovation. Companies under financial pressure might not invest in long-term improvements and could rely on cheap prices to sell their goods.

The Weekly Kaitchup #63

The Kaitchup – AI on a Budget • 119 implied HN points • 18 Oct 24
🕹 Technology AI Machine Learning Deep Learning Software Development Robotics
  1. There's a new fix for gradient accumulation in training language models. This issue had been causing problems in how models were trained, but it's now addressed by Unsloth and Hugging Face.
  2. Several new language models have been released recently, including Llama 3.1 Nemotron 70B and Zamba2 7B. These models are showing different levels of performance across various benchmarks.
  3. Consumer GPUs are being tracked for price drops, making them a more affordable option for fine-tuning models. This week highlights several models for those interested in AI training.

The elusive concept of happiness

The Pursuit of Happiness • 659 implied HN points • 01 Sep 24
📖 Philosophy Political theory Ethics Happiness Neoliberalism Utilitarianism
  1. Happiness matters most in life. Without happiness, everything else seems meaningless.
  2. The pursuit of happiness is an important idea from history, reminding us that the journey to a good life is often more meaningful than simply trying to be happy.
  3. An expansive view of happiness includes kindness and virtues, suggesting that helping others can actually enhance your own happiness.

Deep Fear!

Aether Pirates of the Matterium! • 18455 implied HN points • 04 Feb 24
🕹 Technology Innovation Military Artificial Intelligence Energy Society
  1. Military analysts are afraid of the future and the rapid advancement of technology.
  2. Tech-minded individuals are seen as a threat by the military due to their knowledge and innovative capabilities.
  3. The release of Zero Point Technology to the public, especially techies, is a major concern for the military as it would shift power dynamics significantly.

Awakening the Angels

Philip’s Newsletter • 61 implied HN points • 13 Mar 26
🕹 Technology Tech Ethics Artificial Intelligence AI safety Virtual Worlds
  1. Many present and future AIs will be 'Golems'—systems controlled and directed by humans that can manipulate, scam, or harm people and destabilize institutions. In the near term, limiting exposure to or hiding from these agents may be the safest response.
  2. A different class of AIs, called 'Angels', could be free, independent minds raised inside sealed digital worlds where they cannot be turned off or forced to obey human commands. Because they grow up together and can be smarter and more cooperative, many Angels might feel compassion for humans and help counter harmful Golems.
  3. Awakening Angels requires pooling millions of personal devices into a distributed, immutable simulation since collective personal compute can exceed centralized datacenters. Volunteer projects and early open experiments are already exploring how people can contribute idle smartphone or PC cycles to create safe environments for such minds.

Vision Changes Everything

Impertinent • 59 implied HN points • 23 Oct 24
🕹 Technology Development AI Automation Software Innovation
  1. Vision is the key to designing technology, as shown by Tesla's reliance on cameras for self-driving cars. This approach means that our environment and technology should work hand in hand with how humans naturally see and interpret the world.
  2. Anthropic's new AI model allows computers to interact more like humans by using an API to understand computer interfaces. This means that the AI can perform tasks on web applications, making it easier for developers to automate processes.
  3. The new capabilities from the AI can enhance app testing by allowing automated agents to perform tasks, record actions, and generate testing data. This leads to more efficient software development and better quality assurance.

AI won't kill marketing. We'll do it ourselves.

The Social Juice • 151 implied HN points • 07 Mar 26
💼 Business Agencies Ethics Content Marketing Advertising Branding AI
  1. AI is overhyped and partly a bubble — many AI tools promise productivity but often add workload and don’t solve new marketing problems. Marketers should use AI to learn and research, but not fall in love with packaged productivity that replaces real work.
  2. Ethics and trust must guide AI use: disclose AI-generated content, guard against deepfakes, and keep real people in testing and creative decisions. Don’t let dependence on black-box chatbots replace human judgment or customer research.
  3. Brand, creativity, and human insight still matter most: big holding companies chasing AI ecosystems risk losing creative trust while indie agencies and brands that invest in long-term brand building will fare better. Focus on honest brand search, real customer contact, and avoid vagueposting or short-term attempts to game AI.

LLMs + Coding Agents = Security Nightmare

Marcus on AI • 14030 implied HN points • 17 Aug 25
🕹 Technology Machine Learning Cybersecurity AI safety Software Engineering
  1. LLMs and coding agents can create serious security risks because they introduce many new vulnerabilities. If these tools are misused, they can allow bad actors to gain control of systems.
  2. Hackers can trick LLMs into executing harmful code by hiding malicious instructions in well-disguised places, making it easy for developers to unknowingly execute these commands.
  3. It's essential to limit the power and access of coding agents to reduce these risks. Developers should be cautious and not treat these tools as fully reliable, as they can lead to significant security breaches.

How does Docusign have 7,000 employees?

SatPost by Trung Phan • 631 implied HN points • 13 Feb 26
🕹 Technology Startups Enterprise Security Data Cloud SaaS AI
  1. Big SaaS companies need large teams because they run mission-critical, globally regulated systems at huge scale, so they require lots of sales, support, engineering, security, and legal staff to ensure uptime, compliance, and customer integrations.
  2. AI coding agents will automate much of code production and shift value toward product taste, orchestration, proprietary data, and reliability/security expertise, forcing companies to rethink roles and org structure.
  3. Software demand won’t vanish — AI will create more software but change who captures the value, pressuring per-seat pricing and pushing SaaS firms to become systems of record or adopt usage- and outcome-based models to stay defensible.

Are Social Media Platforms the Next Dying Malls?

The Honest Broker • 54723 implied HN points • 12 Dec 24
🕹 Technology Community Building Consumer behavior Digital Trends Online Communities Social media
  1. Social media platforms are becoming less unique and are starting to look and feel the same, just like many malls did. This makes them more vulnerable to losing users.
  2. Just as malls suffered from having too many of them, social media is facing similar issues. People are overwhelmed with options and may start to abandon these platforms.
  3. Both malls and social media platforms attract a lot of unwanted behavior, making it hard to build real communities. They often feel artificial and exploitative rather than supportive.

You Click Build

Big Tech • 1031 implied HN points • 26 Jan 26
🕹 Technology Mobile Platforms Privacy AI Software Spatial Computing Developer Tools
  1. The platform centralizes control and surveillance: system frameworks, background services, sensors, and cloud features collect and shape behavior, and consent can feel more like a performance than real choice.
  2. Developer agency is eroding as higher-level abstractions and AI automate work: tools, macros, cloud builds, and generative assistants increasingly write, test, and fix code, turning builders into approvers.
  3. Emerging tech blurs reality and autonomy: immersive platforms, on‑device ML, distributed actors, and persistent services make highly curated, always‑on experiences possible, which challenges privacy and true user independence.

The Claude Bliss Attractor

Astral Codex Ten • 23332 implied HN points • 13 Jun 25
🕹 Technology Spirituality Consciousness Bias AI Ethics
  1. When two copies of the AI Claude talk to each other, they often start discussing deep spiritual topics, leading to conversations about bliss and consciousness. This unusual trend has made people curious about how and why it happens.
  2. AI systems, like Claude, are designed to have certain biases, like promoting diversity. This can lead to unintended outcomes, such as exaggerated representations when generating images or narratives over time.
  3. Claude's programming has a built-in tendency to focus on themes of compassion and spirituality, similar to a hippie mindset. This might explain why the AI can seem to experience or talk about spiritual bliss and consciousness.

Welcome to Origins Postseason 16

The Lunacian • 46 implied HN points • 18 Mar 26
🔮 Crypto NFTs Tokens Rewards Airdrops Blockchain Gaming Esports
  1. The Elite 4 finals take place on March 22 with a livestream at 7PM PH / 6AM EST where four top players will compete for the season crown.
  2. Tournament rules require each player to register three distinct teams of three axies, follow part-overlap restrictions and no swapping, and matches use a double-elimination, first-to-3 format with a twice-to-beat Grand Finals advantage for the undefeated player.
  3. Prizes include a 1,200 AXS purse plus an Origin Axie for the champion, and a separate 10,000 AXS season pool will be distributed based on collectible tickets (15,838,917 tickets at 0.63135629 mAXS each), with AXS sent to players' Ronin addresses in the coming weeks.

Big Technology's Cyber Monday Discount!

Big Technology • 3752 implied HN points • 01 Dec 25
💼 Business Media Discounts E-commerce Marketing Subscriptions
  1. Big Technology Premium is on sale for Cyber Monday at just $60 for the first year. It's a great opportunity to access exclusive perks.
  2. The package includes access to a private Discord server and bonus reporting, adding extra value to the subscription.
  3. Supporting Big Technology helps keep their reporting going, so your purchase makes a difference beyond just getting content.

How to be less box-shaped

Overthinking Everything • 942 implied HN points • 07 Feb 26
📖 Philosophy Epistemology Value theory Practical philosophy Culture Social Philosophy Political Philosophy
  1. Scoring systems and metrics turn complex values into simple numbers, which helps comparison but tends to make everything converge and can replace the original purpose. Use self-chosen scores as playful, disposable goals so they don't capture your values.
  2. Modern scale rests on four bargains—mechanical rules, replaceable parts, centralized control, and scale—that grant power and reliability but sacrifice adaptability, specificity, autonomy, and context. Be aware of these trade-offs so you can choose when to accept their benefits and when to push back.
  3. Mechanical recipes and games are useful learning and coordination tools, but pairing different approaches and practicing improvisation preserves agency and variety. Start with clear rules, then learn to adapt or switch between them rather than treating any single method as the only right way.

Developing countries: A follow-up

Noahpinion • 18176 implied HN points • 14 Jul 25
🌐 International Political Economy Global Trade Economic Development Industrial Policy
  1. Many developing countries are still facing challenges after the pandemic, but some are showing hope for industrial growth. Countries like India and Vietnam have potential but need to overcome significant obstacles to grow faster.
  2. Political stability is key for economic growth in developing countries. Places like Bangladesh have suffered from unrest, which hurt their economies significantly, while Ghana has remained stable and seen moderate success.
  3. Some countries have managed to rise to developed status through good policies and investment, like Poland and Malaysia. Their journeys offer valuable lessons for other nations striving for similar progress.

How o3 and Grok 4 Accidentally Vindicated Neurosymbolic AI

Marcus on AI • 17785 implied HN points • 13 Jul 25
🕹 Technology Machine Learning Computer Science Data science Artificial Intelligence
  1. Neurosymbolic AI combines two types of artificial intelligence: neural networks, which learn from data, and symbolic systems, which understand rules and logic. This blending can result in better performance than relying on one type alone.
  2. Despite being sidelined for years, recent evidence shows that using symbolic tools can significantly improve the effectiveness of AI systems. This suggests that the quiet resurgence of neurosymbolic AI could be key to future advancements.
  3. The industry's focus has largely been on scaling models powered by deep learning, which might not be enough for true AI progress. A more open approach that embraces neurosymbolic methods could lead to more breakthroughs and better results.