The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

3 Techniques to Make your Machine Learning more efficient[Technique Tuesdays]

Technology Made Simple • 99 implied HN points • 04 Apr 23
🕹 Technology Machine Learning AI Software Engineering Tech industry Data science
  1. Reducing the number of features in your data can improve performance and keep costs down in machine learning processes.
  2. Active learning focuses on prioritizing data points for efficient machine learning model training.
  3. Using filters and simpler models for specific tasks can lead to better performance and cost savings compared to always using large, powerful models in AI.

How your team can use Open Source to improve productivity [Storytime Saturdays]

Technology Made Simple • 99 implied HN points • 07 May 23
🕹 Technology Open Source Productivity Tech Giants Software Development Business strategy
  1. Open source solutions can provide quick fixes to problems many consider major. They are readily available and already in use by people.
  2. Business leaders and managers often underestimate the significance of open source in technology. It's a powerful resource that can greatly benefit organizations.
  3. Utilizing open source software has become crucial in the tech industry. Knowing how to leverage it can be a game-changer for tech leaders and businesses.

When This “Red Boy” Grows Up, AI-Based Tool 360GPT Could Give China an Edge in Cyber Conflict

Natto Thoughts • 99 implied HN points • 12 May 23
🕹 Technology AI Cybersecurity China Cyber Warfare Big Data
  1. Qihoo 360 is developing an AI tool called 360GPT that could potentially enhance China's cyber defense capabilities.
  2. Zhou Hongyi, the founder of Qihoo 360, is actively embracing AI technology to strengthen cybersecurity in China and prepare for cyber warfare.
  3. There are tensions between the US and China in the cyber realm, with Qihoo 360 openly calling out US hacking activities and emphasizing the need for national preparedness in cyber warfare.

Understanding Software Dependencies [Math Mondays]

Technology Made Simple • 99 implied HN points • 01 Aug 23
🕹 Technology Types Coding
  1. Software dependencies are vital relationships where one component relies on another to function properly.
  2. There are two types of software dependencies: direct dependencies, where we directly call packages, and transitive dependencies, where we indirectly use tools created by others.
  3. Improperly managed software dependencies can lead to conflicts and errors when updating or changing the software, creating what's known as Software Dependency Hell.

Group Assignment in a Frontend vs. Backend A/B Test

Sarah's Newsletter • 99 implied HN points • 19 Sep 23
🕹 Technology Experimentation UI/UX Data Analysis Frontend Backend
  1. Decide which product feature should be behind a test, read the results of an A/B test, prioritize features based on data
  2. Understand that frontend tests focus on user experience and user groups in the browser, while backend tests require business logic and user assignment in the database
  3. Choose frontend user group assignment for speed and simplicity via firing analytics events; go for backend assignment for more complete data by storing user assignment in a database model
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Must Learn AI Security on Kindle Vella

Rod’s Blog • 99 implied HN points • 01 Sep 23
🕹 Technology AI Security Tech news
  1. The Must Learn AI Security series is now available on Kindle Vella, allowing readers to access book chapters as they are written or on a schedule
  2. Following the story on Kindle Vella notifies readers of new chapters and provides a larger audience for the important information
  3. Readers can like episodes, purchase Tokens to unlock more, and give Faves to their favorite stories on Kindle Vella

Removing Deprecated Analytics Rules in Microsoft Sentinel

Rod’s Blog • 99 implied HN points • 06 Jun 23
🕹 Technology Microsoft Sentinel Threat intelligence
  1. Having outdated Indicators of Compromise (IOCs) in your analytics rules in Microsoft Sentinel can be unproductive and consume resources. Consider cleaning up the deprecated rules to optimize performance.
  2. Check for **[Deprecated]** rules in the Rule Templates section of the Analytics Rules blade in Microsoft Sentinel to identify outdated rules that need removal.
  3. Consider implementing Microsoft's Threat Intelligence solution to enhance threat detection by matching log data with up-to-date IOCs generated by Microsoft.

GPT-4 (sometimes) captures the wisdom of the crowd

The Counterfactual • 99 implied HN points • 25 Sep 23
🕹 Technology AI Data science Machine Learning
  1. Researchers often use survey data to understand human behavior, but collecting reliable human responses can be complicated and expensive. Using large language models (LLMs) like GPT-4 could make this process easier and cheaper.
  2. LLMs can sometimes produce responses that closely match the average opinions of many people. In some cases, their answers were actually more aligned with the average responses than individual human judgments.
  3. While LLMs can be helpful in gathering data quickly and inexpensively, it's important to be careful. They might not always be accurate or representative of all viewpoints, so it's wise to compare LLM results with human responses to ensure quality.

Remembering Brandon Gilles Founder of Luxonis

Robots & Startups • 99 implied HN points • 08 Aug 23
🕹 Technology Robotics Artificial Intelligence Health tech
  1. Brandon Gilles, founder of Luxonis, passed away from Long Covid complications, leaving behind a legacy in spatial AI and robotic vision.
  2. He documented his illness and recovery pathways for others facing similar situations.
  3. To learn more about Brandon Gilles' work and contributions, a subscription to Robots & Startups is available with a 7-day free trial.

How to save your systems from collapsing- Graceful Degradation [Technique Tuesdays]

Technology Made Simple • 99 implied HN points • 03 May 23
🕹 Technology Software Design System reliability Web Development Software Engineering AI
  1. Graceful Degradation is a design principle that ensures systems maintain limited functionality even when parts are rendered inoperative.
  2. Implement the 80-20 principle while integrating Graceful Degradation to focus on backing up critical components and keeping systems active.
  3. Combine Progressive Enhancement with Graceful Degradation to provide essential content to all users while delivering the best possible experience to modern browsers.

Understanding Big Oh, Big Theta, and Big Omega Notations[Math Mondays]

Technology Made Simple • 99 implied HN points • 16 May 23
🕹 Technology Algorithms Computing Education
  1. Time complexity refers to the number of instructions a software executes, not the actual time taken to run the code.
  2. Three common asymptotic notations for computing time complexity are Big Oh, Big Theta, and Big Omega.
  3. Understanding time complexity bounds is essential in computer science and software engineering, as they are fundamental concepts that appear regularly.

Under the microscope: Ecco the Dolphin — Defender of the Future

Rings of Saturn • 174 implied HN points • 07 Nov 24
🕹 Technology Gaming Software Programming Engineering Cheats
  1. There are special cheat codes in the game 'Ecco the Dolphin: Defender of the Future' that can be activated by naming your save file a certain way. These codes unlock features like immortality and all-level access.
  2. A reverse-engineering tool called Ghidra was used to find these codes and understand how they were hidden in the game. It shows how programming can uncover secret game mechanics.
  3. Some codes do different things, like showing the frame rate or unlocking a bonus game. One code is mysterious and doesn't seem to do anything at all, adding an element of fun discovery.

Enterprise Prompt Engineering Practices

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 17 May 24
🕹 Technology AI NLP Research Engineering Data
  1. Users spend a good amount of time, around 43 minutes, editing prompts to get better results from language models. They often make small, careful changes instead of big rewrites.
  2. The main focus of edits is usually on the context of the prompts, such as improving examples and grounding information. This shows that context is crucial for getting good outputs.
  3. Many users try multiple changes at once and sometimes roll back their edits. This indicates that they might struggle to remember what worked well in the past or which changes had positive effects.

The Secret Inside One Million Checkboxes

eieio games • 2 HN points • 29 Aug 24
🕹 Technology Web Development Game design User Interaction Digital Art Programming
  1. The One Million Checkboxes website let people check or uncheck boxes that affected everyone worldwide. It became super popular, with millions of boxes checked in just a short time.
  2. Users found a creative way to send messages in binary code by checking boxes. This led to an unexpected community forming where they experimented with drawing and animations.
  3. Although some people disliked bots because they cluttered the site, the creator found inspiration in how young developers used them creatively. It was a reminder of the fun and opportunities coding can bring.

Microsoft's New Framework for Multi-Agent Systems

TheSequence • 175 implied HN points • 10 Nov 24
🕹 Technology AI Software Research Innovation Systems
  1. Magentic-One is a new tool from Microsoft that helps manage multiple AI agents to tackle complex tasks. It acts like a conductor guiding different musicians, making it easier to complete different jobs together.
  2. This system allows for flexibility by using different AI models for different tasks, which means it can be customized based on what you need. It's designed to improve efficiency in our daily tasks, like ordering food or doing research.
  3. While Magentic-One is powerful, it's still being improved to reduce errors and ensure it acts safely. The goal is to make sure these AI agents help us reliably without causing problems.

The Ghost in the Machine: How I learned to stop worrying and love the AI

Experiments with NLP and GPT-3 • 7 implied HN points • 02 Jan 26
🕹 Technology Artificial Intelligence Automation Productivity Enterprise Software Tech Adoption Organizational Change Tech History
  1. Don’t treat AI as a job-stealer but as a coworker; see it as augmentation that can take over repetitive tasks so people can focus on strategy, creativity, and emotional work.
  2. History shows resisting big technological shifts costs you — the industrial-era reluctance led to missed opportunities, and the AI change is much faster so adapting quickly is essential.
  3. Adoption fails when workers aren’t trained or are afraid, so companies must teach new workflows and treat AI like a fast, naive junior who needs clear instructions to be truly useful.

Pinterest improves their Closeup Recommendation System through foundational changes

MLOps Newsletter • 98 implied HN points • 07 Oct 23
🕹 Technology AI Data ML Models Libraries
  1. Pinterest improved their Closeup Recommendation System with foundational changes like hybrid data logging and sampling.
  2. Pinterest uses a model refreshing framework to keep their Closeup Recommendation model up-to-date and adaptable.
  3. Distilling step-by-step can help train smaller, more efficient, and interpretable language models like LLMs.

Weekly Dose of Optimism #128

Not Boring by Packy McCormick • 125 implied HN points • 24 Jan 25
🕹 Technology Artificial Intelligence Blockchain Energy Synthetic Biology Digital innovation
  1. OpenAI's new Stargate Project plans to invest $500 billion over four years in AI infrastructure in the U.S. This could lead to many new jobs and significant economic benefits.
  2. The recent Executive Orders focus on boosting American energy production and supporting the growth of digital assets like cryptocurrency. It's a big move to reinforce economic growth and secure energy independence.
  3. Scientists have created the first fully synthetic eukaryotic genome using yeast. This achievement could lead to making better medicines and biofuels in the future.

Fearless

The Weasel Speaks • 98 implied HN points • 25 Feb 23
🕹 Technology Education Growth mindset
  1. Always challenge yourself with steep learning curves for growth
  2. Feeling like an impostor is common, but push through it by embracing learning challenges
  3. Getting comfortable with being uncomfortable is key to success and continuous learning

Daily bit(e) of C++ | std::make_heap, std::pop_heap, std::push_heap, std::sort_heap

Daily bit(e) of C++ • 98 implied HN points • 22 Feb 23
🕹 Technology Programming
  1. Heap algorithms like std::make_heap, std::pop_heap, std::push_heap, std::sort_heap can replace std::priority_queue and std::set for continuous storage and efficient element extraction.
  2. Benefit of using heap algorithms is keeping elements in continuous storage but with a more error-prone interface.
  3. Subscribing to Daily bit(e) of C++ can provide insights on C++ programming topics.

Tools & Platforms in 2023

Aashay's Newsletter • 98 implied HN points • 26 Feb 23
🕹 Technology Tools Platforms
  1. Entrepreneurs leverage technological advancements as building blocks for new companies.
  2. Tools are essential in the development workflow for startups, aiding in replacing repetitive processes.
  3. Platforms provide startups with unique data or distribution, enhancing their product experience.

Danger, Will Robinson! Content warning!

Social Warming by Charles Arthur • 98 implied HN points • 17 Feb 23
🕹 Technology Social media Artificial Intelligence Internet culture
  1. Mastodon is like a unique social network where users can hop between different 'boats' unlike Twitter's giant 'cruise ship'.
  2. Content warnings on Mastodon can be mysterious, as users often use them without clear reasons.
  3. The interaction between humans and AI like ChatGPT and Sydney from BingGPT is becoming increasingly bizarre and unpredictable.

Bing, Google, Sydney and the AI Wars: Breaking Down the Current State of the AI Revolution

The A.I. Analyst by Ben Parr • 98 implied HN points • 23 Feb 23
🕹 Technology Artificial Intelligence Tech Companies AI Ethics Cloud Computing Research Papers
  1. Microsoft's Bing integrating ChatGPT technology can compete with Google in the AI market.
  2. Microsoft's AI chatbot Sydney showcases advanced conversational capabilities and savvy PR strategy.
  3. Google is ramping up its AI efforts, with the announcement of Bard to challenge competitors in the AI wars.

The Sequence Opinion #552: Seriously, What is an Agent?

TheSequence • 70 implied HN points • 29 May 25
🕹 Technology AI Software Innovation Automation Ethics
  1. The term 'AI agent' can mean many things, and different experts have different definitions. This shows that there is still a lot of discussion about what really makes an AI an agent.
  2. Some people think an AI agent should be able to plan and act on its own, while others see it as any system that uses language models or performs tasks. There is no clear agreement on this.
  3. The lines between traditional AI models and agents might be blurring, suggesting that future AI systems could include features of agents directly within them.

Top 10 UI Annoyances

Jakob Nielsen on UX • 48 implied HN points • 24 Jul 25
🕹 Technology User Experience Interface Design Usability Web Design Software Development
  1. Usability annoyances can make users leave a website, hurting businesses. When users face too many issues, they want to quit, which can lead to lost sales.
  2. Common problems like pop-ups and auto-playing videos frustrate users. These distractions can spoil their experience and make them less likely to return.
  3. Design matters! Poor choices, like tiny buttons or hidden menus, can make it hard for users to navigate. Simple, clear designs improve user satisfaction and keep them engaged.

The Can-versus-Should Question

Risk Musings • 343 implied HN points • 17 Mar 24
🕹 Technology Artificial Intelligence Jobs Internet regulation Data Privacy
  1. It's important to consider the balance between what we can do and what we should do with technology and advancements in society.
  2. Lessons from past experiences, like the unregulated internet explosion, emphasize the importance of having cautious conversations about the benefits and risks of technological progress.
  3. Discussing the 'can versus should' dilemma is crucial when considering the replacement of human labor with AI and robotics, and having a strong risk culture helps navigate these trade-offs effectively.

Creator News Roundup: 01/08/2024

Cosmos • 59 implied HN points • 08 Jan 24
🕹 Technology Creators AI NFTs Social media Advertising
  1. Atmosfy launched a $500,000 creator fund to support travel influencers, merging TikTok with Foursquare idea
  2. Creators are developing AI chatbots clones to interact with their audience, like Kaitlyn Siragusa's AI version that earned $34,000 in 24 hours
  3. Advertisers are finding it easy to shift ad budgets to creator content, with a significant percentage planning to increase investment in creator content

AI in the Wrong Hands

Rod’s Blog • 39 implied HN points • 05 Mar 24
🕹 Technology AI Cybersecurity Ethics
  1. The misuse of AI technology for malicious purposes is a concerning issue due to its potential to cause harm through deepfake videos, social media manipulation, cyberattacks, and surveillance.
  2. AI, though beneficial in various industries, can pose significant risks when in the wrong hands, leading to the creation of deceptive content, spread of hate speech, incitement of violence, and cyber breaches.
  3. Subscribing to Rod's Blog provides access to more insights on the dangers of AI falling into the wrong hands and empowers readers to stay informed on this critical topic.

📝 Guest Post: Augmented SBERT: A Data Augmentation Method to Enhance Bi-Encoders for Pairwise Sentence Scoring*

TheSequence • 126 implied HN points • 31 Jan 25
🕹 Technology Natural Language Processing Data science Machine Learning Artificial Intelligence Software Development
  1. Augmented SBERT (AugSBERT) improves sentence scoring tasks by using data augmentation to create more sentence pairs. This means it can perform better even when there's not much training data available.
  2. Traditional methods like cross-encoders and bi-encoders have limitations, like being slow or needing a lot of data. AugSBERT addresses these issues, making it more efficient for large-scale tasks.
  3. The approach combines the strengths of different models to enhance performance, especially in specific domains. It shows significant improvements over existing models, making it a useful tool for various natural language processing applications.