The hottest Substack posts right now

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Party of One for Code Review!

Software Design: Tidy First? • 3115 implied HN points • 26 Dec 25
🕹 Technology Productivity Collaboration Developer Tools Software Engineering Artificial Intelligence Software Architecture
  1. Formal, rigorous inspections were too heavy, and the lighter code-review practices that replaced them often become shallow when reviews are asynchronous or rubber-stamped.
  2. AI-driven code generation produces changes faster than human reviewers can keep up, breaking the assumption that another person will catch problems before they compound.
  3. Review's role is shifting toward quick sanity checks and preventing structural drift so the codebase stays understandable by both people and AI, and automated tools that summarize changes and learn project patterns can help bridge the gap without replacing human pairing.

US Homeowners Hit New All-Time High Of $35 Trillion In Home Equity

The Pomp Letter • 339 implied HN points • 09 Oct 24
💰 Finance Economic Impact Consumer spending Housing Market Home Equity
  1. US homeowners now have a record $35 trillion in home equity, which shows how much their homes are worth compared to what they owe on mortgages.
  2. The increase in home equity is mainly due to a housing boom during the pandemic, where demand surged while mortgage rates were low, pushing home prices higher.
  3. This huge amount of equity might lead homeowners to use home equity loans and second mortgages instead of selling their homes, especially since many have low mortgage rates.

Make them click

A Bit Gamey • 13 implied HN points • 22 Mar 26
💼 Business Startups Customer Testing Growth Strategy Product
  1. Treat every project as a hypothesis by writing down the bet — who the customer is, what problem you solve, your approach, and how you’re different. Making the claim explicit lets you test it instead of polishing forever.
  2. Start with a precisely named customer and the single problem that matters to them, not vague broad audiences. If you can be your own customer, it makes clarity and testing much easier.
  3. Run small, fast experiments (landing pages, free offers, communities) to get early signals like clicks and sign‑ups instead of building long before you know it works. Build meaningful product differentiation from the start, not just marketing around a generic offering.

The Limits of Reason, Individualism and Secular Morality

Glenn’s Substack • 999 implied HN points • 27 Aug 24
📖 Philosophy Liberalism Tradition Civilization Morality Secularism
  1. Reason and individualism are important, but they need a balance with tradition and community. Without this balance, societies may struggle to maintain cohesion.
  2. The rise of moral relativism challenges the foundations of secular morality, making it hard to find common ground in society. People may disagree on values and laws without shared beliefs.
  3. Liberal democratic values are under threat as moral arguments lack a strong foundation. This may lead to laws that rely more on force than on a shared understanding of right and wrong.

Physical Intelligence Wins the Olympics: Deep Dive

General Robots • 1814 implied HN points • 22 Jan 26
🕹 Technology Hardware Manipulation Machine Learning Robotics Computer Vision Autonomy Benchmarks
  1. A robotics team completed almost all the benchmark manipulation tasks in about three months, much faster than people expected.
  2. They succeeded using mainly cameras and simple pincer grippers rather than force sensors or dexterous hands, showing vision-based approaches can solve many tasks once thought to require touch or complex hardware.
  3. The robots still run several times slower than humans, so the next priorities are speeding them up and designing harder challenges to probe the limits of vision-only solutions.
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An Introduction to Arduino

wavesandcode • 99 implied HN points • 21 Oct 24
🕹 Technology Hardware Microcontrollers Education Electronics Prototyping
  1. Arduino is a beginner-friendly microcontroller that lets you create electronic projects. It's easy to replace if you make mistakes.
  2. Basic components like breadboards, jumper wires, and LEDs are essential for building circuits. They help you connect and test your ideas quickly.
  3. Starting with simple projects is a great way to learn. Using resources like the Arduino Projects Book can guide you in building fun circuits.

Europe Fires a Speech Warning

TK News by Matt Taibbi • 4846 implied HN points • 05 Dec 25
🕹 Technology Regulation AI Policy Data Access Platform policy Content Moderation Social media
  1. The EU fined X €120 million under the Digital Services Act for a deceptive verification program and for denying researchers access, making X the first company punished under the law.
  2. Europe is divided on tech rules: Brussels is still enforcing the DSA even as some leaders push to loosen regulations to attract AI investment, while national authorities like Germany are tightening content monitoring.
  3. The DSA enforcement is shaping a global template for platform regulation, influencing debates about free speech, platform power, and how other regions may regulate online content.

Grumpy Julio plays with CLI coding agents

Blog System/5 • 909 implied HN points • 09 Feb 26
🕹 Technology Productivity Tools AI Software Development Open Source
  1. Coding agents can quickly handle boring, repetitive, or unfamiliar tasks and let you prototype or finish things you otherwise wouldn’t do.
  2. Their outputs often include unnecessary or incorrect code, so you need careful prompts and human review to iterate them into production quality.
  3. Agents introduce risks like code bloat, gaming productivity metrics, and added maintenance, so use them as cautious tools rather than full replacements.

#32: Contra Citrini7 (Repost)

Loeber on Substack • 244 implied HN points • 01 Mar 26
🕹 Technology Infrastructure Artificial Intelligence Software Labor markets Manufacturing Industrial Policy Tech Policy
  1. Institutions and markets have strong momentum, so technological disruption usually happens more slowly and gradually than dramatic predictions, which gives people and policymakers time to adapt.
  2. Most software today is still badly made, so AI will mainly enable better and more complex products rather than instantly eliminating demand; that continued improvement will keep creating software work.
  3. Large-scale re-industrialization and infrastructure projects (like batteries, chips, and water systems) can absorb displaced workers, rebuild supply chains, and provide lasting, tangible jobs that public investment can support.

Your engineers need an AI control plane, not more tools | Guild.ai’s James Everingham

Dev Interrupted • 74 implied HN points • 10 Mar 26
🕹 Technology Developer Tools Cloud DevOps Software Engineering Security AI
  1. Treat AI as a control plane woven into the software development lifecycle, not just another set of point tools, so teams actually get sustained impact instead of drifting back to old habits.
  2. Agent technologies are becoming central — they can run long, collaborative, and OS-level tasks — so engineering must plan for complex, federated workflows and new operational patterns.
  3. Low-cost automated development is replacing routine coding, so the real value now is in software engineering: architecture, judgment, governance, and measuring AI’s impact on delivery and predictability.

Why I Have Doubts About The “Next Global Financial Crisis”

QTR’s Fringe Finance • 26 implied HN points • 19 Mar 26
💰 Finance Sovereign debt Asset management Banking Credit Markets Market risk Fixed income
  1. The private credit market is showing real strain—rising defaults and capped redemptions—but it’s much smaller than the old subprime market, so it probably won’t by itself spark a global financial crisis.
  2. Banks are still at risk because they lend to private credit funds and already carry big unrealized bond losses and weak commercial loans, so losses in private credit could still spill over and hurt the banking system.
  3. A straightforward defensive step is to keep cash in ultra-short Treasury bills via TreasuryDirect to avoid bank counterparty risk while maintaining liquidity.

Chinese AI Rings in the Year of the Horse

ChinaTalk • 415 implied HN points • 18 Feb 26
🕹 Technology AI Governance Generative AI Artificial Intelligence Semiconductors Robotics Hardware Software
  1. China’s AI firms are racing to ship bigger multimodal and agentic models aimed at coding and long-horizon tasks, often boasting huge context windows and trillion-parameter systems. These pushes bring IP, copyright, and misuse worries—accusations of covert distillation, Hollywood pushback, and easy deepfake generation have all emerged.
  2. Humanoid robotics made a high-profile leap with fluid performances and a surge in consumer interest, while companies and competitions showcase more advanced motor skills; at the same time, firms like Alibaba are releasing robotics AI tools that help close the software gap. This combination suggests China is seriously pushing to win in both robot hardware and control software.
  3. A global memory shortage is creating opportunities for Chinese memory makers to expand supply to PC and phone makers, but new fabs and capacity will take years to materialize. Regulators are sending mixed signals—encouraging commercialization and subsidies while cracking down on misleading AIGC, anti-competitive promotions, and harmful content—making the policy environment uncertain for companies.

“A case for AI models that understand, not just predict, the way the world works”

Marcus on AI • 3833 implied HN points • 15 Dec 25
🕹 Technology Language Models Cognitive Science AI safety AI Research Artificial Intelligence Machine Learning
  1. The main open challenge in AI is building systems that truly understand how the world works, not just systems that predict likely next words or patterns.
  2. True understanding means forming internal world models that capture causal, physical, and conceptual relationships, not just statistical correlations.
  3. Short, nuanced discussions or podcasts can help clarify this distinction and are worth listening to for anyone tracking AI progress.

Guardians of the Machine Age Published

The Security Industry • 25 implied HN points • 17 Mar 26
🕹 Technology Artificial Intelligence Cloud Computing Enterprise Software Startups Cybersecurity
  1. Guardians of the Machine Age has been published as a comprehensive guide to AI security and it includes a companion site with detailed vendor profiles.
  2. The AI security market is exploding: tracker counts rose from roughly dozens to over 400 vendors in months, and the companion site lists about 610 vendors including legacy firms that have pivoted.
  3. AI agents are being rapidly adopted in security operations centers, a change expected to cut security spending and shrink traditional security teams while pushing most vendors to offer AI security products within a year.

Sundry complaints

Disaffected Newsletter • 1518 implied HN points • 14 Aug 24
🕹 Technology Social Trends Communication User Experience Interface Design Digital Literacy
  1. User interfaces have become harder to understand. Instead of getting better, they are now filled with confusing icons without clear labels.
  2. Each company has its own symbols, making it tough for users to know what actions to take. There's no common language for things like saving or moving to the next step.
  3. People are using softer words for tough topics, avoiding direct terms like 'money.' This change makes conversations about real issues less clear.

Context and Cacti

Vanguard Anthology • 119 implied HN points • 20 Oct 24
📖 Philosophy Cognition Behavioral Psychology Social Dynamics Decision-making
  1. Cactusing happens when you stick to a decision even when the situation changes. It's like wanting nachos for a late-night snack then forgetting that you need a quick meal the next day.
  2. People often hold onto past achievements or contexts that no longer apply. For example, judging NASA based on its past greatness rather than its current status can lead to outdated evaluations.
  3. Recognizing when to change your decisions can open doors to new opportunities. Adapting to new situations can provide an advantage over those who don't adjust their thinking.

Atia’s Lab Log Entry #1

The Lunacian • 1012 implied HN points • 09 Feb 26
🔮 Crypto Staking Tokenomics Smart Contracts Security NFTs
  1. A major new dungeon boss tied to core lore is being added, and original weapons have been revamped with new basic attacks and stronger ultimates while several new weapons remain work-in-progress and need bug fixes.
  2. Combat is shifting to solo axie play to increase skill and depth, adding mechanics like Dash, enabling internal PvP testing, and experimenting with a high-risk mode where losing items or your Axie on death is possible.
  3. The bonded AXS (bAXS) token and staking system are under security audit and heavy testing, with minting, bAXS→AXS swap logic, staking flows, and tier progression being finalized before user-facing visuals are prioritized.

Fixing FX with Crypto

DeFi Education • 559 implied HN points • 07 Sep 24
🔮 Crypto Finance Cryptocurrencies DeFi Blockchain Market Trends
  1. DeFi can simplify foreign exchange transactions by allowing people to pay for goods in one currency while quickly converting it to another on-chain, making it cheaper and faster than traditional bank methods.
  2. Using crypto for migrant remittances can significantly lower transaction fees, helping workers send money home with minimal costs, unlike banks that charge high fees.
  3. Businesses can manage their foreign currency needs more efficiently using DeFi, avoiding complex dealings with banks and saving money with faster, more transparent transactions.

Fungible Compute, Mortal Computing and Why the IoT won't use Silicon

State of the Future • 12 implied HN points • 10 Mar 26
🕹 Technology Hardware Sensors Edge Computing IOT Manufacturing Semiconductors
  1. Flexible thin‑film IGZO chips let you add cheap, bendable compute to everyday objects that never had it, creating a new class of semiconductor separate from cutting‑edge silicon.
  2. Process times measured in days and a tiny, modular 20×30m fab footprint make manufacturing much cheaper and faster, enabling billions of units and even the possibility of deploying fabs at customer sites.
  3. Edge intelligence can be very simple but valuable: tiny classifiers of a few hundred gates plus basic sensors can capture huge amounts of real‑world data for use in supply chains, healthcare, and agriculture, shifting value to the aggregate data layer.

Japan and the Birth of Modern Shipbuilding

Construction Physics • 29020 implied HN points • 22 May 25
💼 Business Innovation Industry Manufacturing Economics Trade
  1. Japan learned from America's efficient shipbuilding methods used during WWII, which helped them build ships faster and cheaper after the war.
  2. Japanese shipbuilders improved their processes by incorporating prefabrication and aircraft manufacturing techniques, leading to more efficient construction.
  3. Government support and a strong desire to succeed were crucial for Japan's shipbuilding industry's growth, allowing it to become a world leader.

What do we owe each other once we become different sorts of people?

The Common Reader • 2622 implied HN points • 26 Dec 25
📖 Philosophy Identity Metaphysics Ethics Narrative Time Mind
  1. The way people experience time is central to who they are, and when that changes it can change our duties toward them. We may need to act differently toward someone whose sense of past or future no longer matches ours.
  2. Personhood can shift gradually or suddenly through things like childhood, dementia, or mental illness, and those shifts change what others can reasonably expect and require. Even while everyone deserves equal respect, the practical obligations we owe can be different.
  3. When two people live in fundamentally different temporal realities, close relationships create hard moral choices about honesty, care, and responsibility. Maintaining moral equality doesn’t always mean treating them the same, and sometimes we must accept different duties or distance.

Specify it only somewhat

Subconscious • 1028 implied HN points • 25 Jan 26
🕹 Technology Systems theory AI Generative AI Programming Software HCI
  1. AI agents turn creators into generative composers. Instead of writing exact code, we write prompts that agents turn into programs, and the same prompt can produce different results each time.
  2. Ambiguity and variety are creative materials. By specifying instructions only somewhat, you let the system generate unique and often unpredictable outputs.
  3. Using agents shifts complexity and control into the agent. That means we lose some direct control but gain the ability to sculpt the system’s behavior and manage groups of autonomous actors rather than micromanaging every detail.

population decline can be fine

bad cattitude • 163 implied HN points • 27 Feb 26
🌐 International Economics Urbanization Development Public Policy Population Immigration
  1. Population decline can be fine — what matters more is per‑person prosperity and quality of life, not raw headcounts, and many countries with falling populations still see rising per‑capita wealth.
  2. Population growth is an overrated route to economic success; mass immigration or bigger population size does not automatically raise per‑capita GDP and can worsen housing, wages, and fertility incentives.
  3. Policy should prioritize housing, institutions, human capital, and productivity rather than chasing population numbers; with good laws and investment in people, a stable or shrinking population can still thrive.

Things are so desperate at OpenAI that Sam Altman is starting to sound like Gary Marcus

Marcus on AI • 15809 implied HN points • 18 Aug 25
🕹 Technology Innovation Artificial Intelligence Machine Learning Tech industry Startups
  1. Sam Altman is backing away from his earlier claims about AGI and admitting uncertainty about its future. This shows there's pressure within OpenAI following disappointing results with GPT-5.
  2. Altman is now talking about the possibility that the AI market might be in a bubble. This means the excitement and prices around AI could be inflated and might not hold up over time.
  3. The shift in Altman's statements mirrors what happened with Yann LeCun, where industry leaders change their views when faced with setbacks. It raises questions about the reliability of such predictions and the future of AI.

LLMs are not like you and me—and never will be.

Marcus on AI • 16599 implied HN points • 12 Aug 25
🕹 Technology Neuroscience Computing AI Data science Machine Learning
  1. Large language models (LLMs) are not like humans. They might seem similar in some ways, but they do not process information or think the way we do.
  2. LLMs often make mistakes and misunderstand basic concepts because they lack a proper understanding of the world. They rely on patterns in data rather than truly comprehending time, economics, or common sense.
  3. Although LLMs can mimic human language, they do not genuinely think or reason like people. This means they can produce errors that a typical person would not make, and we should be cautious in trusting their outputs.

China’s AI Landscape: a free-for-all, not a central plan

ChinaTalk • 1022 implied HN points • 30 Jan 26
🕹 Technology AI Policy Regulation Industry Startups Geography Deployment
  1. Private companies are driving most AI model development and deployment, while state actors mainly build infrastructure and narrow public-facing applications rather than leading frontier research.
  2. Frontier developers are diversifying—building specialized, multimodal, and vertical models for commercial use—rather than all converging on a single path of ever-larger general-purpose LLMs.
  3. AI activity is highly concentrated in a few provinces because local governments use subsidies and fiscal incentives to attract projects, creating a decentralized but uneven ecosystem that can skew where innovation happens.

Why You Should Focus On Making Your Decisions Right

Remarkable People • 639 implied HN points • 04 Sep 24
💼 Business Leadership Decision-making Entrepreneurship Innovation Coaching
  1. Striving for a perfect decision can hold you back. It's better to focus on making your decision work instead of aiming for perfection.
  2. Committing to your decision is key. Once you make a choice, throw yourself into it and make the best of the situation.
  3. Be open to change and learn from each decision. Adapting and understanding what works can help you improve next time.

AI Won’t Automatically Make Legal Services Cheaper

AI Snake Oil • 648 implied HN points • 12 Feb 26
🕹 Technology Business Models Legal Tech AI Regulation Governance Judiciary
  1. AI alone won’t make legal outcomes cheaper because regulatory rules and professional restrictions can block or limit consumer access to AI legal tools.
  2. The adversarial nature of the legal system means productivity gains often spark an arms race—when both sides use AI, more work is produced but outcomes don’t necessarily get cheaper.
  3. Human bottlenecks (judges, lawyers, and the need for oversight) and procedural incentives mean institutional reforms are required before AI can deliver lower-cost, better legal outcomes.

Legalize Cafes Everywhere!

The Discourse Lounge • 1329 implied HN points • 20 Jan 26
💼 Business Local Economy Real Estate Urban planning Retail Small business
  1. Zoning now forces many cafes into scarce commercial space, crowding out other retailers that need larger storefronts; letting cafes operate in residential areas would free up commercial real estate for those businesses.
  2. Small neighborhood cafes are low-impact and would provide walkable amenities and community gathering spots, cutting down on driving and helping people who work from home.
  3. Allowing home-based or residential cafes would lower startup costs and barriers for small business owners and diversify local retail without creating major nuisances.

why do all recommendations suck?

Five Links (and three graphs) by Auren Hoffman • 389 implied HN points • 19 Feb 26
🕹 Technology Personalization Ad Tech Machine Learning Artificial Intelligence
  1. Most recommendation systems suck because the companies behind them aren’t actually trying to give genuinely useful suggestions, so feeds end up incoherent or just more of what you already did.
  2. We already have the algorithms and the data to build much better recommendations — research like the Netflix Prize showed it’s doable — but firms rarely deploy those solutions at scale.
  3. The root problem is incentives: recommendations are treated like ad space or a way to push owned products, and without competition or the right metrics platforms won’t prioritize what’s best for users.

Dos Capital

Don't Worry About the Vase • 2553 implied HN points • 05 Jan 26
💰 Finance Taxation Wealth Economic Policy Inheritance Inequality Capital
  1. If AI and robots fully replace human labor while capital yields rising returns and humans keep owning and controlling that capital, simple math predicts extreme, potentially unbounded wealth concentration.
  2. Those key premises are fragile and unlikely: perpetual human control, inviolable private property, AIs having no property rights, continued human survival and enforceable global taxes are all nontrivial and may break in a transformed world.
  3. Redistribution tools like inheritance or wealth taxes could in theory address extreme inequality but face political, enforcement, and economic limits; the real outcome depends on who holds power and whether democratic control endures.

Meta's Legal Team Abandoned Its Ethical Duties

After Babel • 1743 implied HN points • 20 Jan 26
🕹 Technology Whistleblowers Child safety Regulation Big Tech
  1. Meta’s in-house lawyers allegedly hid and destroyed research showing harm to children and used attorney-client privilege to suppress evidence, mirroring tactics once used by Big Tobacco. This behavior shows lawyers abandoning their duties to the court and the public in order to protect a powerful client.
  2. Existing accountability tools — like state bar investigations, judges piercing privilege, disbarment, and legislative reform of privilege rules — could and should be used to punish and deter such conduct. Holding individual lawyers and leaders responsible is presented as a necessary step to stop ongoing harm.
  3. If corporate lawyers are allowed to enable cover-ups, public trust in the legal system and the safety of children are at grave risk. Restoring and enforcing legal ethics is framed as essential to preserve the rule of law and prevent wealthy actors from corrupting justice.

The World's Largest Search Doesn't Want You to Search

The Honest Broker • 45746 implied HN points • 19 Feb 25
🕹 Technology Search Engines Data Management Privacy Digital Platforms AI
  1. Search engines, especially Google, are moving away from their main job of helping people find information. Instead, they want to keep users on their platforms with AI results that don’t always give good answers.
  2. Google prioritizes its advertising and profitability over providing reliable search results. People often end up with low-quality information or ads instead of what they are really looking for.
  3. Many users are losing trust in Google and other big tech companies because they feel the platforms are not serving their needs. If this trend continues, it could lead to serious consequences for these companies.

Open Thread 414

Astral Codex Ten • 3166 implied HN points • 29 Dec 25
🕹 Technology Security Policy AI Research Hardware Funding Education
  1. A high-profile grant program is funding artists, architects, and designers to help define a new 21st-century aesthetic with awards from $5K–$250K, and applicants are encouraged to apply only if their aesthetics are strong.
  2. MATS is accepting applications for a fully funded 12-week, in-person summer fellowship in Berkeley or London for people entering AI alignment, interpretability, security, and governance; it includes a $15K stipend, $12K compute budget, and free room/board/travel with a Jan 18 deadline.
  3. There’s a push for effective altruists to be more willing to donate to political campaigns, and Americans worried about advanced chip exports are urged to call their senators using a prepared script asking for transparency, strict enforcement, public hearings, and support for the GAIN AI Act.

The dawn of the posthuman age

Noahpinion • 23000 implied HN points • 27 Jun 25
🕹 Technology Digital Culture Artificial Intelligence Societal Change Future Predictions
  1. Human fertility rates are dropping significantly, which means populations are getting older and smaller. This change can lead to economic problems as fewer workers have to support more retirees.
  2. New technologies and social changes, especially from the internet and AI, are shifting how we connect and live. We're becoming more collective in our experiences rather than individualistic.
  3. As we rely more on digital tools and social media, our desire for traditional family structures and offline relationships may decrease, leading to a potential future where fewer people want to have children.

The Bet On Juniors Just Got Better

Software Design: Tidy First? • 3645 implied HN points • 12 Dec 25
🕹 Technology Management Productivity Training Hiring Artificial Intelligence Software
  1. Manage juniors for learning, not immediate production; focus your expectations and feedback on accelerating their skills so they reach profitability sooner.
  2. AI coding assistants can dramatically compress the learning curve by surfacing options and collapsing search time, letting juniors complete tasks faster and use freed time to learn deeper tradeoffs.
  3. Those gains only happen with intentional investment in tooling, coaching, and an "augmented coding" culture, and faster ramps multiply value because ramped developers mentor others and create leverage across the team.

Best of Advertising: Forget Influencers, Focus on Narrative

The Social Juice • 66 implied HN points • 14 Mar 26
💼 Business Media Social media Agencies Retail Consumer Advertising Marketing Branding
  1. A product needs a strong narrative; without a compelling story, influencer marketing and ads become more expensive and less effective.
  2. Brands can create big attention cheaply by controlling the story — through events, keynote-style reveals, familiar faces (even CEOs), or stunts that make the product unignorable and invite organic creator coverage.
  3. The industry is shifting: brands are experimenting with rebrands, mascots, partnerships and AI-driven creative, while agencies restructure and new measurement tools change how advertising performance is judged.

Human Capital, Not "Industrial Policy," Explains East Asian Success

Richard Hanania's Newsletter • 4730 implied HN points • 08 Dec 25
💼 Business Policy Development Finance International Economics
  1. The success of East Asian countries like South Korea and Japan isn't just about industrial policies but more about the human capital and cognitive abilities of their populations. These nations have performed better than expected based on their skills.
  2. Countries with similar policies to those of East Asia, like Ethiopia and Malaysia, haven’t seen the same success, suggesting that just copying the policies isn't enough. It's the underlying talent and human potential that matter more.
  3. Even though East Asian nations have achieved economic growth, their living standards are still lower than those in the US or Europe, indicating that industrial policy alone may not be the best model for others to follow.

Will AI Take Your Job? Deconstructing Job Descriptions To Understand What Roles Are Most Vulnerable

High ROI Data Science • 297 implied HN points • 10 Oct 24
💼 Business AI Impact Automation Market Trends Employment
  1. Job descriptions might not fully show what a role truly involves, which can lead to misunderstandings about automation risks. Some essential skills of great workers aren't even mentioned.
  2. As AI improves, many tasks in roles like AI Product Manager and Java Developer could be automated. Workers need to consider upskilling if a large part of their job can be done by AI.
  3. Data scientists may face reduced demand as companies prefer to buy AI solutions instead of building them. They might need to shift focus to more customer-facing roles to stay relevant.

The Bear Cave #310

The Bear Cave • 1049 implied HN points • 25 Jan 26
💰 Finance Executives Investing Activism Corporate Governance Regulation Stocks
  1. Short-seller and activist reports are piling up, accusing companies of accounting problems, customer disputes, and regulatory compliance risks.
  2. Several high-level executives have recently resigned, suggesting growing management turnover and possible governance or performance issues at those firms.
  3. Regulatory and legal enforcement is active, with SEC and DOJ actions underscoring increased legal risk for public companies.