The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Sign Here on the Dotted Line

Resilient Cyber • 119 implied HN points • 01 May 23
🕹 Technology Cybersecurity Software Development Federal Policy Risk management
  1. The Federal government is focusing on secure software development, requiring software suppliers to prove they follow certain security practices. This means companies must show they are making software safely before selling it to federal agencies.
  2. Software developers must also consider how they use open-source software, as they need to show they manage risks associated with those components. This makes them responsible for any issues that might arise from using other people's code.
  3. Additionally, there is a process where companies can report if they can't meet all the secure practices. This allows them to explain any gaps in compliance and outline their plans to fix them later.

Are LLMs less sophisticated versions of human brains?

ailogblog • 39 implied HN points • 05 Jan 24
🕹 Technology AI Machine Learning Language Models
  1. Language is only meaningful in a social context. Large Language Models (LLMs) do not understand context, so they do not reason or think in ways similar to humans.
  2. Human brains are embodied, while LLMs are not. This difference is crucial because it affects how language and information processing occur.
  3. The complexity of the human brain far surpasses that of LLMs in terms of size and dimensionality, making direct comparison between the two a category error.

Building a Working Recommendation Engine from Scratch

Building a Recommendation Engine • 3 HN points • 04 Aug 24
🕹 Technology Algorithms Programming APIs Data Management Machine Learning
  1. A recommendation engine can work without complex machine learning. Instead, it can be built using straightforward connections between content to suggest things users might like.
  2. Using an API from a platform like Are.na allows easy access to user content and helps find connections between different channels, making recommendations more relevant.
  3. It's important to filter out content that users already know or follow to give them fresh and exciting recommendations. Regular updates to the recommendations can also help keep things interesting.

Complete Visual Guide to Sony MiniDisc Blank Media (1992-2004)

Obsolete Sony’s Newsletter • 2 HN points • 18 Aug 24
🕹 Technology Gadgets Media Innovation Design Audio
  1. Sony's MiniDisc format started in 1992, offering basic models with different recording times, such as 60 and 74 minutes. This was the beginning of their journey into the MiniDisc market.
  2. Over the years, Sony introduced various colorful and uniquely designed MiniDiscs. Each new series often featured innovative designs and enhancements to attract users and improve functionality.
  3. By 2004, the Hi-MD format emerged with enhanced features and greater storage capacity. However, it struggled to compete with newer technologies and was discontinued a few years later.

Four Essential Skills to Improve Your Python Data Visualization Workflow

Data at Depth • 19 implied HN points • 06 Apr 24
🕹 Technology Data Visualization Python AI Programming Coding
  1. Understanding Python data visualization libraries like Matplotlib, Seaborn, and Plotly can help you create different types of visualizations.
  2. Learning data cleaning and preprocessing techniques with Pandas is crucial to ensure accurate and meaningful visualizations.
  3. Mastering Modular Prompting with tools like ChatGPT can speed up coding tasks by generating code snippets based on specific instructions.
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Modular Prompting GPT-4 For Interactive Multi-visual Python Dashboards: A Detailed Guide

Data at Depth • 39 implied HN points • 04 Jan 24
🕹 Technology Data Visualization Python Artificial Intelligence
  1. The article discusses using GPT-4 to generate Python Plotly code for interactive data visuals in Python dashboards.
  2. The author shares their experience of how GPT-4 has significantly improved over 8 months in creating Python Plotly dashboard code.
  3. There's an opportunity to access the full post archives with a 7-day free trial subscription to 'Data at Depth.'

What is Encapsulation anyway?

🔮 Crafting Tech Teams • 39 implied HN points • 04 Jan 24
🕹 Technology Software Engineering
  1. Effort is often wasted on debating the visibility of code elements without understanding the why and when behind such practices.
  2. Software Engineering Fundamentals series aims to provide a strong foundational knowledge for building upon in 2024.
  3. Crafting Tech Teams publication offers a 7-day free trial for readers to access full post archives.

($) 2025: Year of (Software) Picks and Shovels

Interconnected • 92 implied HN points • 22 Dec 24
🕹 Technology AI Software Infrastructure Investing Databases
  1. In 2025, software tools like API platforms, databases, and GPU clouds will be key for AI applications. They are becoming just as important as hardware for building AI solutions.
  2. The focus on AI is shifting from just hardware to include software infrastructure that supports the creation of smarter, more useful AI agents.
  3. Investors should pay attention to emerging software tools and platforms as they will drive the next wave of innovation in AI. Recognizing which ones will succeed is crucial.

Twitter. Just. Sucks. Join our new subscriber chat!

Fight to Repair • 98 implied HN points • 07 Nov 22
🕹 Technology Social media
  1. The post discusses creating a new subscriber chat on Substack for those passionate about repair and tired of Twitter trolls.
  2. Paul Roberts announces the addition of a Fight to Repair subscriber chat space for exclusive subscriber discussions and updates.
  3. Subscribers can access this chat and interact by joining the conversation started by short prompts and thoughts shared by Paul.

How I use Gen AI as a Data Engineer

The Orchestra Data Leadership Newsletter • 19 implied HN points • 05 Apr 24
🕹 Technology AI Data Engineering Data Pipelines Feature Engineering
  1. Generative AI can help Data Engineers summarize vast quantities of structured and unstructured data, expanding the breadth and depth of data available.
  2. Feature engineering using Generative AI involves ingesting unstructured data like call notes, making API calls, and transforming the data for analysis in existing pipelines.
  3. Utilizing Generative AI for webscraping can help teams extract information efficiently from the internet, enabling monitoring of new data sources and optimizing business processes.

Edge 441: SSMs Beyond Language

TheSequence • 119 implied HN points • 22 Oct 24
🕹 Technology AI Machine Learning Audio Processing Research Computational Models
  1. SSMs can be used in areas beyond just language, like audio processing. This makes them very useful for handling complex and irregular data.
  2. Meta AI is researching how SSMs can improve speech recognition, showing their potential in understanding spoken language better.
  3. The Llama-Factory framework helps in pretraining large language models, making them more efficient and powerful.

8 Pitfalls To Avoid When Interpreting Machine Learning Models

Mindful Modeler • 159 implied HN points • 18 Oct 22
🕹 Technology Machine Learning Uncertainty
  1. Different interpretation methods have different goals, so define your interpretation goal first and then choose the appropriate method.
  2. Ensure your model generalizes well by using proper out-of-sample evaluation like cross-validation.
  3. Consider using simpler models for better interpretability and always analyze and correct for dependencies and uncertainties in your interpretation.

Dimension Hopper Part 1

General Robots • 395 HN points • 12 Jun 23
🕹 Technology AI Gaming Art ML Generative
  1. The project involves creating a 2D platformer where players design levels and AI generates visual representations.
  2. The journey to achieve this project involved experimenting with different techniques and models, such as adjusting depth images and adding more detail to improve visual outcomes.
  3. Using the right control images, supporting structures, and techniques like adding adjustable roughness, greatly improved the quality of the generated images.

Robot Nags

David Friedman’s Substack • 242 implied HN points • 10 Feb 24
🕹 Technology Smartwatches Artificial Intelligence User Experience Automation Privacy
  1. Technology like smart watches and apps can provide constant reminders or notifications, sometimes without the option to stop them.
  2. Encouraging reading habits through rewards or forced reading can have unintended consequences, such as making reading seem like a chore to children.
  3. Various instances of 'robot nags' exist in everyday technology, aimed at influencing behavior or decision-making, sometimes intrusively.

Uber is getting back into the self-driving game

Alex's Personal Blog • 32 implied HN points • 17 Jul 25
🕹 Technology AI Investments Startups Economy
  1. Uber is re-entering the self-driving market by partnering with Lucid and Nuro to launch a new robotaxi service. They plan to invest heavily and deploy thousands of vehicles in major US cities.
  2. AI investment is on the rise in Europe, with funding for AI-native startups increasing significantly, indicating growing interest and development in the field.
  3. There's a proposal to allow regular people to invest in private equity through their 401ks, which could open up new investment opportunities, but comes with risks due to the complexity of private investments.

Evals are all we need

Dubverse Black • 58 implied HN points • 26 Oct 23
🕹 Technology AI Voice Cloning Deep Learning
  1. Evaluations are crucial for advancing voice cloning technology
  2. Open-source community is making strides in developing Large Language Models
  3. Mean Opinion Score (MOS) and proposed evals like Speaker Similarity and Intelligibility are important for evaluating voice cloning technology

What is Hard Tech?

Nathan’s Substack • 39 implied HN points • 03 Jan 24
🕹 Technology Hardware Software Deep Tech Manufacturing Cybersecurity
  1. Hardware companies are seeing a resurgence in interest due to their sticky products with deep moats against competition.
  2. Investors and founders in hard tech should understand that there is market risk along with technical risk.
  3. Hard tech companies face longer go-to-market cycles but enjoy stickier product market fit, with the ability to focus on growing margins through economies of scale.

Garbatrage: for sustainable robotics

Robots & Startups • 59 implied HN points • 23 Oct 23
🕹 Technology Robotics Sustainability Funding Research
  1. A paper presented at the Association for Computing Machinery conference highlighted repurposing old hoverboards for robotics, showcasing sustainability in the field.
  2. Robots in New York City made from discarded hoverboards emphasize the potential for innovative recycling in creating sustainable robotics.
  3. Subscription to Robots & Startups offers a 7-day free trial, granting access to exclusive content and archives for deeper insights into the realm of robotics.

Every Tech Leader Needs a Coach in Their Pocket

The Hagakure • 30 implied HN points • 18 Jul 25
🕹 Technology AI Coaching Productivity Leadership Personal Growth
  1. Tech leaders can benefit from having an AI-powered coach to help them stay focused and adaptable. This kind of coach can meet you where you are and guide you in reaching your goals.
  2. Mental and physical health play a big role in how effectively leaders can manage challenges. Being in shape can enhance focus and decision-making.
  3. SwitchUp is designed to help people clarify their goals and make progress without feeling overwhelmed. The aim is to support personal growth in a human-centered way.

Weekly Dose of Optimism #125

Not Boring by Packy McCormick • 92 implied HN points • 20 Dec 24
🕹 Technology Energy AI Sustainability Data Innovation
  1. Commonwealth Fusion is making big strides toward clean energy with plans for the world's first commercial fusion power plant in Virginia, which could be operational by the early 2030s.
  2. Off-grid solar microgrids could greatly help power AI data centers quickly and affordably, making use of solar energy, especially in sunny regions like the U.S. Southwest.
  3. A new method called HORNET combines atomic force microscopy and AI to map RNA structures. This could improve our understanding of RNA and lead to better treatments for diseases.

In cautious defense of LLM-ology

The Counterfactual • 119 implied HN points • 02 Mar 23
🕹 Technology AI Development Machine Learning Natural Language Processing Cognitive Science Human-computer interaction
  1. Studying large language models (LLMs) can help us understand how they work and their limitations. It's important to know what goes on inside these 'black boxes' to use them effectively.
  2. Even though LLMs are man-made tools, they can reflect complex behaviors that are worth studying. Understanding these systems might reveal insights about language and cognition.
  3. Research on LLMs, known as LLM-ology, can provide valuable information about human mind processes. It helps us explore questions about language comprehension and cognitive abilities.

Mechanical Turk is aptly named

The Counterfactual • 79 implied HN points • 16 Jun 23
🕹 Technology AI Automation Gig Economy Human-computer interaction Data Ethics
  1. The Mechanical Turk was a famous hoax in the 18th century that impressed many by pretending to be an intelligent chess-playing machine, but it actually relied on a hidden human operator.
  2. Today, Amazon Mechanical Turk allows people to complete simple tasks that machines struggle with. It's a platform where those who need work can connect with people willing to do it for a small fee.
  3. Recent studies reveal that many tasks on MTurk may not be done by humans at all; a significant portion are actually completed using AI tools, raising questions about the reliability of data collected from such platforms.

DBRX: Revolutionizing Language Models for the Open Community

Data Plumbers • 19 implied HN points • 04 Apr 24
🕹 Technology Artificial Intelligence Machine Learning Open Source API Integration Data science
  1. Language models like DBRX are crucial in AI, changing how we use technology from chatbots to code generation.
  2. DBRX is an open-source alternative to closed models, providing high performance and accessibility to developers.
  3. DBRX stands out for its top performance, versatility in specialized domains, efficiency in training, and integration capabilities.

FaaF: Facts As A Function For Evaluating RAG

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 04 Apr 24
🕹 Technology AI NLP Data Software Programming
  1. RAG systems often struggle to verify facts in generated text. This is because they don't focus enough on assessing the truthfulness of low-quality outputs.
  2. Verifying facts one by one takes a lot of time and resources. It's challenging to check multiple facts in a single generated response efficiently.
  3. The FaaF framework improves fact verification greatly. It simplifies the process, makes it more accurate, and cuts down the time needed for checking facts.

6 YouTube channels for developing your problem solving skills [Technique Tuesdays]

Technology Made Simple • 79 implied HN points • 08 Feb 23
🕹 Technology Problem Solving Computer Science Skill development
  1. Study underlying concepts and practice problems to improve problem-solving skills
  2. Watching experts solve problems can help you learn and progress in your own problem-solving journey
  3. Subscribing to specific YouTube channels like Byte by Bte, Back to Back SWE, Abdul Bari, Ryan Schachte, MindYourDecisions, and TED-Ed can provide valuable insights and techniques for sharpening your problem-solving skills

Starting off 2024: Invitations for Soft skills & OOP Encapsulation

🔮 Crafting Tech Teams • 39 implied HN points • 02 Jan 24
🕹 Technology Engineering Soft skills Design Architecture
  1. The focus for 2024 is on developing human and soft skills alongside Software Engineering Fundamentals, starting with architecture and design techniques.
  2. The XP disciplines will be covered in February, building on the foundational knowledge of architecture and design.
  3. The importance of human skills alongside technical skills in technology will be discussed in an upcoming stream on Jan 3rd.

How to Summarize Youtube Video using ChatGPT Api and Node.js

Implementing • 39 implied HN points • 02 Jan 24
🕹 Technology Programming API Web scraping CLI OpenAI
  1. The system architecture for summarizing YouTube videos involves extracting text from videos and generating text summaries using OpenAI's completions API.
  2. The process includes scraping YouTube automatic captioning for text extraction and dividing large text into smaller parts to handle limitations of the completions API.
  3. A command line interface (CLI) was created to allow users to easily summarize YouTube videos by passing the video link and desired language code.

I'm back, 2025 is THE year.

Abe • 78 implied HN points • 28 Jan 25
🕹 Technology AI Software Engineering Startups Innovation
  1. AI technology is advancing quickly and is making tasks easier and faster. Many people are starting to see big benefits from using AI tools in their work.
  2. The focus is shifting from just building products to understanding customer needs first, especially when using AI. It's important to sell the idea before jumping into development.
  3. There is a strong interest in using AI in practical ways to create new business solutions, rather than competing in the complex technical infrastructure of AI. Many are looking for innovative ways to apply AI to solve real-world problems.

Fast Computation of Fibonacci Numbers: Part II

Confessions of a Code Addict • 288 implied HN points • 12 Nov 23
🕹 Technology Mathematics Programming Algorithms Education
  1. A new method to compute Fibonacci numbers using a closed-form expression without having to resort to floating point arithmetic.
  2. Representation of irrational numbers using two parts can be done in code allowing for precise computation of Fibonacci numbers.
  3. Understanding rings and implementing arithmetic operations within it can help in computing Fibonacci numbers without any loss of precision.

SpaceX is Killing It

startupdreams • 105 implied HN points • 19 Nov 24
🕹 Technology Aerospace Innovation Satellites Space Exploration Startups
  1. SpaceX has stopped taking new Starlink customers in some US cities, which shows how far its internet service has come in just a decade after being doubted.
  2. Starlink has over 6,000 satellites in space and 5 million active users, meaning it brings in a lot of cash that can support SpaceX's other projects.
  3. With the successful launch of the Starship rocket, SpaceX plans to have over 400 launches of Starship in the next four years, showing their commitment to advancing space technology.

Today’s Top 5 HN posts

Top 5 HN Posts of the day • 19 implied HN points • 03 Apr 24
🕹 Technology News Jobs Software Development
  1. The post shares the top 5 HackerNews posts of the day, including topics like 3D graphics engine testing and Amazon's checkout changes
  2. One of the top posts discusses real-time high-quality large-scale scene rendering with Gaussians
  3. There's also information about an earthquake in Taiwan and an anonymous public voicemail inbox

Rise of the Artificial Influencer

John Mayo-Smith's Substack • 79 implied HN points • 17 Jan 23
🕹 Technology AI Advertising SEO Influencers Data
  1. Advertising, SEO, and Artificial Influence are all methods to grab attention for products or services.
  2. AIs are starting to exhibit brand preferences, like humans do, affecting the way they provide recommendations and influence choices.
  3. Influencing AIs involves understanding their training data and providing reliable, consistent, and trustworthy information to align with their preferences.

eBook: Mastering AI Agents

TheSequence • 77 implied HN points • 07 Feb 25
🕹 Technology AI agents Machine Learning Automation Software Development Data Analysis
  1. You can learn to create effective AI agents with the right guidance. There's a helpful eBook that covers how these agents work and when to use them.
  2. The book reviews three frameworks for developing AI agents, helping you choose what's best for your needs. It also shares case studies to show real-life applications.
  3. It addresses common reasons AI agents fail and provides solutions to avoid these problems. This can help ensure your AI projects succeed.

A new kind of coding

Sunday Letters • 139 implied HN points • 06 Feb 23
🕹 Technology Software Development Artificial Intelligence Programming Web Development Machine Learning
  1. Coding with LLMs combines precise programming with flexible models. It's about using the strengths of both to build effective programs.
  2. When creating complex documents, breaking down tasks into smaller pieces is key. This helps models manage and generate content smoothly.
  3. As AI technology grows, we need to be open and experiment. Learning new patterns will help us understand how to best use these models in the future.

Are we in a newsletter bubble?

Cosmos • 19 implied HN points • 03 Apr 24
🕹 Technology News Creators AI Monetization Music
  1. Many creators are starting newsletters to have a direct line of communication with their audiences and fans, especially with the risks of relying solely on social media platforms for business.
  2. YouTube is introducing a 'Members Only' feature for Shorts, allowing creators to monetize by offering exclusive content to paying fans.
  3. Platforms like X are becoming more open to NSFW content, creating opportunities for adult content creators to thrive in these communities.

Graphing in the blue skies

Conspirador Norteño • 36 implied HN points • 27 Jun 25
🕹 Technology Social media Data science Graph Theory
  1. Repost network graphs are helpful to understand how ideas spread on social media, especially on platforms like Bluesky. You can visualize how hashtags or posts gain popularity and interaction.
  2. You can create these graphs from datasets of reposts and original posts, using Python to handle the data. This allows researchers to analyze which accounts are most influential in sharing content.
  3. Different types of conversations on social media can create unique patterns in these graphs. For instance, debates might lead to clusters of accounts, while friendly interactions could show a more unified graph with fewer divisions.