The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Thinking about the people who shouldn’t use LLMs

Sex and the State • 27 implied HN points • 13 Jan 26
🕹 Technology AI Ethics AI safety Public Policy Social Impact Digital Literacy
  1. About 14–17% of people trust LLMs completely, and that blind trust is dangerous because these models can hallucinate and cause real harm.
  2. A lot of people lack the capacity to use LLMs responsibly, and society has largely failed to identify and protect those with diminished decision-making ability.
  3. We need practical guardrails, acknowledgement of incapacity, and systems of care or restriction so vulnerable people are kept safe while others can still benefit from AI.

Open Thread 317

Astral Codex Ten • 2340 implied HN points • 26 Feb 24
🕹 Technology Social media AI Data
  1. Some users who were supposed to be unbanned were not truly unbanned, leading to a need for them to reach out to get it fixed.
  2. Substack acknowledges issues with page and comment loading speed, with plans to improve that in the future.
  3. GPT-6's training might require only 0.1% of the world's computers, according to Ben Todd's findings, a significant discrepancy from previous estimations.

Understanding the Tech Right

Richard Hanania's Newsletter • 4023 implied HN points • 05 Jun 23
🕹 Technology Tech industry Conservatism Ideology Innovation Political Influence
  1. Tech industry is becoming more involved in politics, particularly shaping right-wing movements
  2. Tech Right combines acceptance of inequality with openness to change, influencing views on capitalism, biology, and progress
  3. Tech Right's influence on American politics might be seen through funding politicians, exerting intellectual leadership, and pushing conservative ideals

Best Practices in Retrieval Augmented Generation

Gradient Flow • 599 implied HN points • 19 Oct 23
🕹 Technology AI Data Management Information Retrieval LLM
  1. Retrieval Augmented Generation (RAG) enhances language models by integrating external knowledge sources for more accurate responses.
  2. Evaluating RAG systems requires meticulous component-wise and end-to-end assessments, with metrics like Retrieval_Score and Quality_Score being crucial.
  3. Data quality is pivotal for RAG systems as it directly impacts the accuracy and informativeness of the generated responses.
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Under the microscope: Dragon Force II (Saturn)

Rings of Saturn • 43 implied HN points • 30 Dec 25
🕹 Technology Video Games Retro Gaming Reverse Engineering Debugging Emulation Software
  1. The Saturn game Dragon Force II contains hidden cheat codes that unlock a picture gallery, play character-specific credits, and enable developer debug screens.
  2. All cheats are entered from the Option screen using specific button sequences and Movies/Voice/Sound selections (for example setting Movies to 08 and pressing combinations like A+B+L+X, A+B+R+Z, then B+X+Y for the gallery).
  3. Reverse-engineering found the cheats work by toggling counters and a debug_enabled memory flag; input checks in menu code trigger those memory changes and reveal the features.

Why Tesla Robotaxis Are a Fantasy

lawrence’s Substack • 159 implied HN points • 22 Apr 24
🕹 Technology Automotive Artificial Intelligence Investing Social media
  1. Tesla robotaxis may not be a feasible reality, according to informed commentators. Full Self-Driving is far from being ready for autonomy tests.
  2. Michael McGrath explains why Tesla's Full Self-Driving is technically infeasible and flawed as a business model, offering a critical perspective.
  3. Matthew Enthoven and Edward Niedermeyer also provide valuable insights and critiques on Tesla's autonomous driving ambitions.

What I Learned This Week #4

Eventually Consistent • 79 implied HN points • 16 Jun 24
🕹 Technology Data Storage Rust
  1. Storage engines are categorized into OLTP and OLAP, optimizing for different access patterns like low latency vs. high throughput respectively.
  2. Data structures meant for in-memory usage need encoding for network or disk storage to ensure platform independence and self-containment.
  3. When writing data to a file system, the OS buffers data in memory for performance, requiring explicit flushing to prevent the risk of data loss in case of system crashes.

⏩🎇 Awaiting the AI acceleration: A Quick Q&A with … researchers Anson Ho and Andrei Potlogea

Faster, Please! • 274 implied HN points • 07 Aug 25
🕹 Technology AI Economics Investment Regulation Innovation
  1. Many believe we are not investing enough in AI because there's a lot of uncertainty about its benefits. People are unsure how AI will impact jobs and the economy.
  2. Investors are cautious about putting money into AI because they don't know how to profit from it or if regulations might get in the way. This fear makes them hesitant to make big investments.
  3. Some economists underestimate AI's potential by comparing it to past technologies. They think AI won't bring as much change, but it could actually affect more areas and grow faster than we expect.

The Profile: Elon Musk’s brain implant startup & the billionaire learning what money can’t buy

The Profile • 594 implied HN points • 12 Nov 23
🕹 Technology Startups Innovation Health
  1. Making positive changes in life often involves going through a phase where things get worse before they get better.
  2. Developing competence is key to overcoming fear and challenges in various aspects of life.
  3. Understanding that temporary setbacks are a natural part of the journey to improvement can help in persevering through hard times.

Data Science Weekly - Issue 526

Data Science Weekly Newsletter • 419 implied HN points • 22 Dec 23
🕹 Technology Data science AI Machine Learning Analytics Software Development
  1. Generative AI is changing how we work with tools, improving the Human-Tool Interface. This can help us use technology in ways we never could before.
  2. Support Vector Machines (SVMs) can be very effective for prediction tasks, often outperforming other models in error rates. However, they aren’t as commonly used, possibly due to their complexity.
  3. Deep multimodal fusion is useful in surgical training. It helps classify feedback from experienced surgeons to trainees by combining different types of data like text, audio, and video.

How to sell bread with quantile regression

Mindful Modeler • 339 implied HN points • 23 Jan 24
🕹 Technology Machine Learning Data science Modeling Predictions
  1. Quantile regression can be used for robust modeling to handle outliers and predict tail behavior, helping in scenarios where underestimation or overestimation leads to loss.
  2. It is important to choose quantile regression when predicting specific quantiles, such as upper quantiles, for scenarios like bread sales where under or overestimating can have financial impacts.
  3. Quantile regression can also be utilized for uncertainty quantification, and combining it with conformal prediction can improve coverage, making it useful for understanding and managing uncertainty in predictions.

Da fuq is an “LLM?”

Sex and the State • 26 implied HN points • 14 Jan 26
🕹 Technology Artificial Intelligence Machine Learning Natural Language Computer Vision Generative AI Robotics AI safety
  1. An LLM (large language model) is an AI system that mainly reads and writes natural language and powers modern chatbots like ChatGPT, Claude, and Gemini.
  2. AI is a big umbrella with many types of tools — image generators, detectors, chat interfaces, and world models — and LLMs are just the language-focused slice, not the same as models that work with images or spatial data.
  3. Many leading researchers argue LLMs alone probably won’t produce human-level or general intelligence, because language only points to thought; building AGI likely requires spatial or "world" models that learn from videos, perception, and interaction.

The GitHub Markdown feature you MUST know!

The Open Source Expert • 59 implied HN points • 03 Jul 24
🕹 Technology Programming Web Development Software Tools Communication
  1. Using Alerts in GitHub Markdown helps highlight important information, making it easier for readers to notice. There are different types of alerts like notes, tips, and warnings that you can use.
  2. To create an Alert, you simply need to use specific Markdown code, starting each line with a '>' symbol. This format makes your content stand out more effectively.
  3. It's important not to overuse Alerts, or they might lose their impact. Use them sparingly to ensure readers pay attention to the key points.

How I Write

Democratizing Automation • 395 implied HN points • 06 Jun 25
🕹 Technology AI Writing Communication Creativity Learning
  1. Writing improves with practice and prioritization. The more you write, the better you get at it.
  2. Finding your passion and voice is key to writing well. When you write about what you love, it becomes easier and more enjoyable.
  3. AI tools can support writing, but they also make it harder for new writers to learn. With auto-complete options, it takes more effort to become a good writer.

My Feast-or-Famine AI Bet with Holden Karnofsky

Bet On It • 296 implied HN points • 21 Jul 25
🕹 Technology AI Economy Innovation Forecasting Change
  1. Holden believes AI will greatly change the economy, but he isn't sure if it will be for the better or worse. Bryan thinks that we won't see these big changes for a long time, maybe decades.
  2. They made a bet about the future economy, betting on whether AI will boost or damage the global economy by 2044. If the economy is either much better or much worse than it is now, Holden wins; otherwise, Bryan wins.
  3. Bryan will decide the winner of the bet, but they agreed on backup judges in case he can't. This shows there's trust between them in this friendly wager.

Earth Observation Use Cases

Space Ambition • 119 implied HN points • 17 May 24
🕹 Technology Space Technology Remote Sensing Data Analytics Disaster Management
  1. Earth observation is key for weather and climate studies. It helps scientists track weather patterns and understand climate change using data from satellites.
  2. Satellites are important for monitoring natural and human-made disasters. They provide real-time data that helps in managing disaster response and understanding impacts.
  3. Remote sensing data supports various sectors like finance, ecology, and infrastructure. It aids in resource management, economic predictions, and assessing environmental changes.

What makes a software engineer effective?

Elevate • 477 implied HN points • 29 Nov 23
🕹 Technology Software Engineering Team Dynamics Communication Personal Development Problem Solving
  1. Effectiveness in software engineering is about focusing on what matters most and delivering value to users, the business, and career with the available time.
  2. Traits that help software engineers be effective include caring about user needs, being a good problem solver, and keeping things simple while prioritizing quality.
  3. To excel as an exceptional software engineer, embrace change, balance technical debt and innovation, and emphasize continuous learning and teamwork.

Languages don't need many words

John Ball inside AI • 39 implied HN points • 24 Jul 24
🕹 Technology Machine Learning Natural Language Artificial Intelligence Data science Speech Recognition
  1. You don't need many words to communicate in a new language. Just a small vocabulary can help you get by in everyday conversations.
  2. For understanding most spoken and written text, around 2000 words are usually enough. This covers about 80% of regular communication.
  3. Machine learning and AI can benefit from understanding language like humans do, by learning new words in context rather than just relying on a large vocabulary.

Star Trek or Mad Max?

Diane Francis • 619 implied HN points • 11 Sep 23
🕹 Technology Artificial Intelligence Internet Virtual reality Big Tech Digital Rights
  1. Experts debate whether AI will lead to a better future like 'Star Trek' or a dystopian one like 'Mad Max.'
  2. Some say AI, like ChatGPT, doesn't really think or create but uses existing data, raising concerns about job losses and content theft.
  3. Regulation and accountability are important, as many believe tech companies should be held responsible for their actions instead of managing themselves.

The Magnet 084: Mystery of the Motorized Garage Door

The Magnet • 373 implied HN points • 08 Jan 24
🕹 Technology Mystery Security
  1. The garage door in the author's property mysteriously stopped working, leading to a puzzling situation.
  2. Despite efforts to manually open the garage door, the issue was resolved by simply plugging in the motor power cord.
  3. The author was left questioning how and why the motor power cord was pulled out, as there were no easy access points.

How I got 27 hours in a week by installing one tool

High Growth Engineer • 1052 implied HN points • 17 Nov 24
🕹 Technology Productivity Tools Software AI Workflow Engineering
  1. Using tools like Raycast can save a lot of time by centralizing different functions on your computer. It allows you to quickly access apps and features, making your workflow smoother.
  2. Having features like an instant AI chat is really useful for quickly finding answers to questions without interrupting your flow. You can get help right when you need it, without the hassle of opening new tabs.
  3. Text expanders are great for saving time on repetitive typing. They let you create shortcuts for common phrases, making it faster to communicate and reducing effort in your daily tasks.

NVLink Fusion: Embrace, Extend, Extinguish

Mule’s Musings • 417 implied HN points • 27 May 25
🕹 Technology AI Hardware Networking Silicon Computing
  1. Nvidia has a strong edge in the market with its NVLink technology, allowing fast communication between chips. This positions Nvidia favorably against competitors who are still developing their own solutions.
  2. By licensing its C2C technology and selling NVLink chiplets, Nvidia is opening its technology to others while still maintaining a competitive advantage. This strategy helps Nvidia grow its influence and solidify its market position.
  3. The 'embrace, extend, extinguish' strategy means Nvidia is likely to dominate the market by allowing others to use its technology while quickly outpacing them with its own products and innovations.

Speed Without Understanding - One of the Biggest Risks in Data Engineering

SeattleDataGuy’s Newsletter • 329 implied HN points • 30 Jun 25
🕹 Technology Data Engineering Cloud Computing Software Development Systems Design Data Management
  1. Speed in data engineering can be risky. Acting fast without fully understanding the consequences can lead to mistakes, like accidentally deleting important data.
  2. Every new tool or change can add complexity. If something breaks, it may cause confusion for others, so it’s important to think carefully about what you build.
  3. Having a mix of experienced and new team members is really helpful. It encourages sharing knowledge and can prevent big errors when someone leaves the team.

Machine learning never cheats but it may play flawed games

Mindful Modeler • 259 implied HN points • 27 Feb 24
🕹 Technology Machine Learning Data Analysis Statistics Data generation
  1. Machine learning models may use shortcuts or exploit quirks in data, but it's important to consider them as playing the game according to the rules set by the data.
  2. Detecting flaws in prediction games is crucial, as models can unintentionally learn and act on misleading information from the data.
  3. Designing prediction games effectively requires a deep understanding of the data-generating process, tools like sampling theory, design of experiments, and a statistical mindset can be valuable in shaping prediction tasks.

💥 Tech Talks Weekly #24

Tech Talks Weekly • 59 implied HN points • 26 Jul 24
🕹 Technology Conferences Programming Software Development AI Data science
  1. Tech Talks Weekly is a free email newsletter that shares recent talks from dozens of tech conferences. It's a great way to catch up on what you missed!
  2. Readers can participate by filling out a short form to help improve the content. This makes it a community-driven resource.
  3. The newsletter highlights popular talks each week, making it easier for people to discover valuable insights from experts in tech.

Lost in Bugspace

Breaking Smart • 27 implied HN points • 10 Jan 26
🕹 Technology Software Engineering Programming Systems Design Debugging Computer Science Human factors Project management
  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.

Storytellers need video. Hypernatural makes it personal.

The Hypernatural Blog • 39 implied HN points • 23 Jul 24
🕹 Technology AI Tools Video creation Media Production
  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.

The social justice case for self-driving cars

Odds and Ends of History • 871 implied HN points • 07 Jan 25
🕹 Technology Autonomous Vehicles Mobility Artificial Intelligence Social justice Transportation
  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 AI Software Innovation Data Industry
  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.

Five Levels Of AI Agents

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 119 implied HN points • 16 May 24
🕹 Technology AI Software Machine Learning Automation Data science
  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.

Just Do It

Development Hell • 612 implied HN points • 12 Apr 23
🕹 Technology Writing
  1. Getting things done is not an alternative to getting things done.
  2. Consider using Obsidian to write and organize your work effectively.
  3. Get a 7-day free trial subscription to Development Hell to continue reading and access full post archives.

The Sequence AI of the Week #805: Goodfire and the Era of AI Interpretability

TheSequence • 14 implied HN points • 11 Feb 26
🕹 Technology AI Machine Learning Software Engineering Developer Tools AI safety Product Design
  1. Modern AI is built by optimizing huge datasets with gradient descent, which produces powerful but opaque "black box" models.
  2. Relying only on prompts and RLHF is like doing behavioral psychology on an alien mind because we don't understand the model's internal workings; without interpretability tools, reliability and safety are limited.
  3. Interpretability efforts like feature steering and agent internals are pushing toward a "Software 3.0" where engineers can intentionally design a model's internal behavior, and investor interest shows the industry is shifting from alchemy to intentional, inspectable AI.

Data Science Weekly - Issue 545

Data Science Weekly Newsletter • 139 implied HN points • 03 May 24
🕹 Technology Data science Artificial Intelligence Machine Learning Software Development 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 Software Engineering Cybersecurity Risk management Systems Design Performance optimization
  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.

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 AI Cybersecurity Multimodal models 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.