The hottest Substack posts right now

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A data-driven insight into German transfer fraud: 7.594 cases

Altay's Blog • 1 HN point • 30 Sep 24
💰 Finance Data Analysis Fraud Banking E-commerce Scams
  1. Many people in Germany lose money to transfer fraud each year because scammers trick them into thinking their payments are safe. They use methods like fake online shops to steal money without delivering any products.
  2. Scammers often use tricks to hide their identities, like opening bank accounts under fake names or recruiting unsuspecting people to help. These tactics make it hard for banks to catch them right away.
  3. There are rules called Know-Your-Customer (KYC) that banks must follow to verify customer identities. When these rules are not strong, it can lead to more fraud, but better KYC practices can help reduce these scams.

2024 Predictions

The Dollar Endgame • 359 implied HN points • 13 Jan 24
💰 Finance Inflation Government spending Market Analysis Economy Monetary Policy
  1. The Federal Reserve is likely to start cutting rates by Q2 or Q3 and possibly implement quantitative easing, based on recent signals and market predictions.
  2. There is an anticipation that the Fed will eventually restart quantitative easing due to factors like high deficits and pressure from the Monetary Black Hole, impacting financial markets and assets.
  3. Inflation is expected to return in the near future as liquidity programs kick in, fiscal deficits grow, and government spending increases, potentially leading to economic challenges and a recession.

Lost in Bugspace

Breaking Smart • 27 implied HN points • 10 Jan 26
🕹 Technology Debugging Systems Design Programming Software Engineering Project management Human factors Computer Science
  1. Software implementation has a one-way time asymmetry: you can usually tell the minimum time needed, but there is no reliable upper bound. Rare, heavy-tailed bugs create a "bugspace" where time stretches and effort stops correlating with progress.
  2. Debugging becomes fundamentally harder as many independent factors combine — skewed defect distributions, NP‑hard diagnosis, poor observability, human cognitive limits, and organizational frictions — turning implementation into costly search and diagnosis. Tools and heuristics can collapse complexity briefly, but they fail when their assumptions break, producing long stalls and regime shifts.
  3. When stuck there are three pragmatic exits: restart and discard history, ship an expedient imperfect solution, or embrace yak‑shaving and expand scope for internal integrity. Each choice trades off predictable delivery, internal quality, and environmental robustness, so you need to pick explicitly which clock you’re answering to.

Neither Robot Nor Baby

In My Tribe • 364 implied HN points • 13 Jun 25
📖 Philosophy Human condition AI Impact Metaphysics Ethics
  1. The folk theory of mind suggests that humans have feelings and decision-making abilities, while AI does not. This means we shouldn't think of AI as having a mind like ours.
  2. AI operates based on code and rules, not feelings or intentional decisions like humans have. Mistakes made by AI don't come from emotional reactions like they would in a person.
  3. While AI can cause harm, it's not because it has its own mind. It's important to recognize that AI's actions reflect human intentions, whether they're intended or not.

Storytellers need video. Hypernatural makes it personal.

The Hypernatural Blog • 39 implied HN points • 23 Jul 24
🕹 Technology AI Tools Media Production Video creation
  1. Hypernatural is a fast AI video generator that helps storytellers turn ideas into videos quickly. It makes it easy for writers and podcasters to create engaging video content without needing video editing skills.
  2. The software allows users to generate videos of any length and keeps character features consistent across different scenes. This means creators can focus on storytelling while Hypernatural handles the visuals.
  3. Hypernatural aims to expand creative opportunities for everyone, not just those who can afford professional video production. It empowers more people to share their creative visions through video.
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The social justice case for self-driving cars

Odds and Ends of History • 871 implied HN points • 07 Jan 25
🕹 Technology Transportation Autonomous Vehicles Mobility Artificial Intelligence Social justice
  1. Self-driving cars are becoming more common and are already in use in places like San Francisco. Companies are offering autonomous taxi services that anyone can access through an app.
  2. The idea of abundant mobility means that, in the future, traveling will be much cheaper and easier for everyone. This could make life better for many people, especially those with lower incomes, by improving access to jobs, services, and social connections.
  3. While there are challenges and concerns with self-driving cars, like job losses and privacy issues, the overall benefits could lead to a more equal and accessible society, similar to how technology has improved living standards over time.

LLMs are becoming commodities

The AI Frontier • 99 implied HN points • 30 May 24
🕹 Technology Industry AI Software Innovation Data
  1. LLMs are growing similar and it's hard to tell them apart. Companies must now find new ways to stand out as features become alike.
  2. The race to create better models is very fast, and some newer models are catching up to the established ones. This means that model quality is no longer the main thing that makes a provider unique.
  3. For businesses and users, having more options is good for getting better deals. But, many people will likely stick with known brands rather than trying new, less familiar choices.

Market Manipulation Through Social Media

DeFi Education • 759 implied HN points • 09 Aug 23
🔮 Crypto Market Manipulation Financial trends Bots Social media
  1. Social media bots can create fake hype around cryptocurrencies, leading to market manipulation. These bots make it hard for regular investors to know what's really happening with price movements.
  2. The use of bots in financial markets isn't new, but the scale at which they are being employed today is greater than before. This raises concerns about trust and authenticity in crypto investing.
  3. It's important for investors to be careful about what they see online. Double-checking information with others can help avoid getting caught up in hype driven by bots and manipulated trends.

Five Levels Of AI Agents

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 119 implied HN points • 16 May 24
🕹 Technology AI Data science Automation Machine Learning Software
  1. AI agents can make decisions and take actions based on their environment. They operate at different levels of complexity, with level one being simple rule-based systems.
  2. Currently, AI agents are improving rapidly, sitting at levels two and three, where they can automate tasks and manage sequences of actions effectively.
  3. The future of AI agents is bright, as they will be more integrated into various industries, but we need to consider issues like accountability and ethics when designing and implementing them.

Data Science Weekly - Issue 545

Data Science Weekly Newsletter • 139 implied HN points • 03 May 24
🕹 Technology Software Development Data science Artificial Intelligence Machine Learning Big Data
  1. Reusing data analysis work can save time and help teams focus on building new capabilities instead of just repeating old ones.
  2. Open-source models can be a better choice than proprietary ones for developing AI applications, making them cheaper and faster.
  3. Causal machine learning helps predict treatment outcomes by personalizing clinical decisions based on individual patient data.

Software engineering for security: Performance Tradeoffs

Frankly Speaking • 305 implied HN points • 10 Jul 25
🕹 Technology Performance optimization Cybersecurity Risk management Systems Design Software Engineering
  1. Security and engineering need to talk the same language about performance tradeoffs. If security teams understand the technical decisions engineers make, they can suggest solutions that actually work.
  2. Different security decisions involve risks. For example, faster systems might use more memory, or stricter access controls can slow things down. It's important to weigh these risks carefully.
  3. Having security engineers understand both the risks and the tech helps make processes smoother. They can address problems directly and bridge the gap between security needs and engineering realities.

Decentralized Finance - the High Level Basics

DeFi Education • 5115 implied HN points • 20 Jun 21
🔮 Crypto Blockchain DeFi Investing Smart Contracts Cryptocurrency
  1. Decentralized finance (DeFi) allows people to lend or borrow using their crypto assets without relying on banks. This means you can use your Bitcoin as collateral to get a loan without selling it.
  2. Smart contracts are essential in DeFi, replacing middlemen with code to streamline financial transactions. This makes processes like taking out loans or trading assets easier and cheaper.
  3. DeFi aims to remove inefficient centralized systems, allowing for 24/7 trading and more access to financial opportunities. This could change how we invest, like through NFTs and other digital assets.

Import AI 358: The US Government’s biggest AI training run; hacking LLMs by hacking GPUs; chickens versus transformers

Import AI • 319 implied HN points • 29 Jan 24
🕹 Technology Multimodal models Cybersecurity AI Generative models
  1. Hackers can exploit GPU vulnerabilities to read data from LLM sessions, highlighting security risks in AI infrastructures.
  2. AI will enhance cyberattacks and empower malicious actors, posing a significant threat to cybersecurity by increasing efficiency and sophistication of attacks.
  3. The US government conducted a substantial AI training run but lags behind private industry, showcasing the need for advancements in supercomputing capabilities for large-scale AI models.

bankruptcy for the little people

Dan Davies - "Back of Mind" • 294 implied HN points • 09 Feb 24
💰 Finance Debt Corporations Legal system Bankruptcy
  1. Bankruptcy rules differ for individuals and corporations, with implications for creditors and stakeholders.
  2. Bankruptcy can have significant economic consequences, especially for employees, suppliers, and other parties dependent on the company's operations.
  3. Some companies without operations can exploit bankruptcy laws to avoid liabilities, highlighting issues with the limited liability system.

On Substack (sigh)

Notes from a Small Press • 79 implied HN points • 18 Nov 25
💼 Business Publishing Freelancing Digital Platforms Income Media
  1. Substack has faced criticism and controversies over its policies, leading many writers and readers to leave or stop using the platform. This has created a divide among newsletter creators regarding where to publish.
  2. Many writers rely on Substack for income, and leaving the platform could significantly hurt their earnings. This makes it tough for some to decide whether to stay or leave because the options out there might not be any better.
  3. The idea of creating a newsletter co-op, where writers could collaborate and bundle their subscriptions, was interesting but faced challenges in gaining interest. Without more options for writers, the future of independent newsletters seems uncertain.

Advanced Prompt Engineering

Deep (Learning) Focus • 609 implied HN points • 08 May 23
🕹 Technology Deep Learning Information Retrieval Prompt engineering AI/ML
  1. LLMs can solve complex problems by breaking them into smaller parts or steps using CoT prompting.
  2. Automatic prompt engineering techniques, like gradient-based search, provide a way to optimize language model prompts based on data.
  3. Simple techniques like self-consistency and generated knowledge can be powerful for improving LLM performance in reasoning tasks.

Generative AI: What Happened, Where It's Going 2023-2024

Rod’s Blog • 416 implied HN points • 19 Dec 23
🕹 Technology Regulation AI Predictions Applications Ethics
  1. Generative AI is rapidly advancing and has a wide range of applications from enhancing creativity to solving real-world problems.
  2. In 2023, Generative AI saw explosive growth, with a significant number of organizations implementing it in various business functions.
  3. Expected trends in 2024 for Generative AI include more advanced language models, more creative applications, and increased focus on ethical and responsible considerations.

Professional Pricing

Software Design: Tidy First? • 2518 implied HN points • 03 Jan 24
💼 Business Revenue growth Business Model
  1. Consider raising prices to increase revenue, but be aware of potential tradeoffs.
  2. Subscribers can expect to improve software design and communication skills, connect with a community, and receive thought-provoking ideas.
  3. New pricing for the newsletter will be $25/month starting January 15, 2024, so signing up before then locks in the current $7/month rate.

⤴⤵ Up Wing/Down Wing #31

Faster, Please! • 822 implied HN points • 18 Jan 25
🕹 Technology Healthcare Energy AI Space Biotech
  1. New obesity drugs are being developed that can help people lose a lot of weight quickly. These breakthroughs could make treatments more accessible and affordable for many people.
  2. Companies are working on exciting projects like reviving extinct species and creating new ways to explore the moon. These innovations could greatly impact conservation and space travel.
  3. There are serious challenges ahead, like rising dementia cases and declining birth rates, which could hurt the economy. Without action, these issues could have major effects on future generations.

Valuable, but not productive

Passing Time • 970 implied HN points • 02 Dec 24
💼 Business Career Work Life Consulting Finance Entrepreneurship
  1. Many elite graduates end up in consulting and finance jobs, even if they don't know much about these fields. They often choose these paths due to pressure and anxiety about what to do after college.
  2. While jobs in consulting and finance are lucrative, they often don't contribute much to society. The work can feel unproductive and doesn't create a lasting impact or legacy.
  3. These high-stress jobs can lead to burnout and affect personal lives. People may sacrifice their health and relationships for prestige and money, but there are other fulfilling paths to explore.

Unveiling the Revolutionary Architecture behind LLMs - "Attention is all you need"

Mindful Matrix • 219 implied HN points • 17 Mar 24
🕹 Technology AI NLP Architecture Training Applications
  1. The Transformer model, introduced in the groundbreaking paper 'Attention Is All You Need,' has revolutionized the world of language AI by enabling Large Language Models (LLMs) and facilitating advanced Natural Language Processing (NLP) tasks.
  2. Before the Transformer model, recurrent neural networks (RNNs) were commonly used for language models, but they struggled with modeling relationships between distant words due to their sequential processing nature and short-term memory limitations.
  3. The Transformer architecture leverages self-attention to analyze word relationships in a sentence simultaneously, allowing it to capture semantic, grammatical, and contextual connections effectively. Multi-headed attention and scaled dot product mechanisms enable the Transformer to learn complex relationships, making it well-suited for tasks like text summarization.

How Does it Feel to Be a Bug?

Bet On It • 271 implied HN points • 30 Jul 25
📖 Philosophy Ethics Nature Metaphysics Existentialism Theory
  1. Bugs live short lives, but they don't experience long-term suffering like humans do. They don't linger in misery or worry about the future.
  2. Bugs likely have a different way of experiencing life. They probably don't feel loss, disappointment, or humiliation like we do.
  3. It's not clear if bugs are actually less happy than humans. They might have lives worth living, even if they face quick deaths.

The Starship: Can One Rocket Change the Entire Space Industry?

Space Ambition • 279 implied HN points • 16 Feb 24
🕹 Technology Innovation Space Exploration Commercial Space Aerospace Engineering
  1. Starship aims to drastically lower the cost of launching payloads into space, making it more affordable for various missions. This could mean launching things into orbit for just $100 per kilogram, which is a huge drop from the current price.
  2. The rocket is designed to be fully reusable, meaning both its stages can be used again and again. This will help SpaceX perform more launches efficiently and at a lower cost.
  3. Starship has the potential to open up opportunities for space tourism, lunar missions, and even trips to Mars. It could make space travel as common as taking a plane someday.

AI and GDP: The Caplan-Karnofsky Bet

In My Tribe • 273 implied HN points • 22 Jul 25
💼 Business Investments Risk Analysis Betting Technology Economics
  1. Bryan Caplan's bet on GDP and AI is unique because it involves a lot of uncertainty. Usually, he picks safer bets, but AI is unpredictable.
  2. The time frame of 20 years is significant; advancements might happen faster due to modern communication. This may lead to AI being adopted more quickly than expected.
  3. If the GDP drops significantly, it might be due to factors like war or disasters, rather than AI. And for GDP to rise dramatically, we need breakthroughs in education, healthcare, or robotics.

Not All Deep Tech is a Startup

Ulysses • 239 implied HN points • 06 Mar 24
💼 Business Technology Startup Deep Tech Manufacturing Venture Capital
  1. Software startups have unique advantages like zero-cost replication and large markets, but building unicorns is still rare.
  2. Deep tech ventures face challenges like talent scarcity and long payback periods, but success can create a science-fiction future.
  3. Different models for deep tech leverage value generation, such as software-derived value, economies of scale, high-margin consumables, and extreme capital goods durability.

TBM 368: Goals Take Practice

The Beautiful Mess • 304 implied HN points • 21 Jul 25
💼 Business Productivity Management Strategy Goals Performance
  1. Setting good goals is tough and takes practice. It's not something you can get right just by trying a few times.
  2. OKRs are just one tool to help with goal setting, but there are many types of goals that matter in different situations.
  3. To really improve at setting goals, practice all the time, not just once a quarter. The more you work on it, the better you'll get.

TBM 363: Is Matt A Loser?

The Beautiful Mess • 370 implied HN points • 22 Jun 25
💼 Business Management Workplace culture Corporate strategy Organizational Behavior Leadership
  1. Sometimes, executives may ignore useful advice to protect their own interests and bonuses. This can hurt the overall effectiveness of a company.
  2. People like Matt care deeply about improving their workplace, even when faced with difficult situations. However, they often feel stuck and unsure about their future.
  3. The dynamics in a company can make it hard for employees to voice concerns or suggest changes. This can lead to frustration and wasted potential within teams.

Luna’s Landing is LIVE!

The Lunacian • 828 implied HN points • 15 Jan 25
🔮 Crypto Tokens Blockchain Games NFTs
  1. Luna's Landing is now live, and players can explore the rarest plots in the game. Landowners can play on their plots while everyone else can visit them in the Homeland.
  2. These plots have special features like starting at higher levels for resources, which means players can find better rewards nearby. This helps all players, not just landowners.
  3. Players with Luna's Landing plots will earn a lot more Ancient Coins than others, and there's a good chance they'll get bonus rewards like Moonfall Tickets.

What could AI mean for animals?

Open Philanthropy farm animal welfare research newsletter • 499 implied HN points • 16 Nov 23
🕹 Technology Alternatives AI Sentience Advocacy Ethics
  1. Artificial intelligence advancements have the potential to revolutionize the future of farmed animals, presenting both optimistic and pessimistic outcomes.
  2. AI is being explored to create alternative protein products and improve animal welfare through various applications like distress call monitoring and sensor technology.
  3. There is uncertainty on how AI will impact animals in the long run, with scenarios ranging from ending factory farming to potential exploitation of sentient AIs, urging for considerations of animal ethics in AI development and advocacy efforts.

Should we severely punish the peacable yet violent man?

Philosophy bear • 107 implied HN points • 05 Nov 25
📖 Philosophy Free will Character analysis Ethics
  1. A peaceful person can act violently under very rare and wrong circumstances, even if they normally would not. This raises questions about how to judge their character and intentions when punishment is considered.
  2. Some argue that a person should not be severely punished if their violent act does not reflect their true character. It's important to consider the person's history and overall nature when thinking about justice.
  3. There are debates around whether punishment should be based on a person's character or their actions. Finding a fair way to deal with moral luck is difficult, and both approaches have downsides.

Introducing Deep Symbolics

John Ball inside AI • 59 implied HN points • 02 Jul 24
🕹 Technology Neuroscience Computer Science Artificial Intelligence Cognitive Science Machine Learning
  1. Deep Symbolics (DS) aims to improve upon Deep Learning (DL) by incorporating how brains work, especially in understanding and using symbols rather than just statistics. This is important for developing Artificial General Intelligence (AGI).
  2. Unlike traditional DL systems that learn in a single training run, Deep Symbolics can continuously learn and adapt, similar to how humans pick up new knowledge and skills throughout life.
  3. Deep Symbolics focuses on creating a more brain-like model by using hierarchical and bidirectional patterns, which improves its ability to process language and resolve ambiguities better than current AI systems.