The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Joshua Citarella: Memetic Tactics: The Slow Red Pill

Do Not Research • 19 implied HN points • 14 Jul 21
🕹 Technology Social media Content Strategy Digital Platforms Internet culture
  1. The 'slow red-pill' strategy involves gradually exposing an audience to extremist content by mixing in radical posts with popular conservative content on social media.
  2. Online radicalization tactics are not limited to the American far-right but have been used globally, like in Myanmar by the military to spread propaganda.
  3. Fighting online radicalization requires addressing the societal roots of the problem rather than just relying on content moderation by big tech companies.

Data Science Weekly - Issue 418

Data Science Weekly Newsletter • 19 implied HN points • 25 Nov 21
🕹 Technology Data science Machine Learning Artificial Intelligence Neural Networks Natural Language
  1. Understanding data strategy is crucial for companies. Many invest in data, but few create a data-driven culture.
  2. Deep learning can help with smart, autonomous systems, but caution is needed in safety-critical applications.
  3. Tools like Retool make it easier for teams to build applications on their data without needing extensive coding skills.

The evolution of the LLM API market

Artificial Fintelligence • 13 implied HN points • 13 Dec 23
🕹 Technology AI APIs
  1. LLM API market has seen growth with new competitors like Bard, Claude, and Gemini entering.
  2. Competition in the LLM market is driving efficiency and lower prices for hosting services.
  3. Market for LLM APIs will bifurcate into high-end expensive models and low-end cost-effective models, with open weight models improving in quality and decreasing in cost.

Ultima Ratio Twitterum

Never Met a Science • 16 implied HN points • 30 Aug 23
🕹 Technology Social media Internet Communication Digital Platforms Online Communities
  1. Twitter has become overrun by bots, spammers, and harmful content, making it unusable for meaningful communication.
  2. Institutions like APSA and AEA have failed to adapt to the internet era, hindering effective communication and reform.
  3. Addressing online challenges requires creating new platforms that prioritize effective communication, moderation, and community needs.
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20250112

Curious futures (KGhosh) • 4 implied HN points • 12 Jan 25
🕹 Technology AI Data security Innovation Digital Culture Workplace Trends
  1. Big food companies are using marketing tactics similar to those of Big Tobacco, especially targeting children and minorities, making processed foods addictive.
  2. Many employees feel overwhelmed by AI in the workplace, despite executives believing it will improve productivity. This added pressure is causing burnout for workers.
  3. There's an exciting future ahead with new technologies, like nuclear batteries, but we need to be careful about their use and how we protect data as we embrace innovation.

On Preempting Life

Christopher’s Newsletter • 3 implied HN points • 15 Mar 25
🕹 Technology Social media Addiction Lifestyle Personal Development
  1. Reducing tech use, especially social media, can be tough but worth it. Trying to take small steps, like removing distracting apps, can help.
  2. Watching YouTube for long periods can prevent you from living your life fully. It's easy to choose passive activities over more rewarding efforts like reading or working on projects.
  3. Making it harder to access distracting apps can help you regain control of your time. It may be beneficial to focus on more meaningful and engaging activities.

Sprite Attack!

Dan’s MEGA65 Digest • 11 implied HN points • 16 Feb 24
🕹 Technology Graphics Gaming Programming Animation
  1. Sprites in computer graphics are dedicated to moving objects like spaceships or characters and were essential for video games and user interfaces on the Commodore 64.
  2. MEGA65 supports VIC-II hardware sprites and offers sprite-related BASIC commands to make it easy to use in programs, allowing for creating simple arcade games.
  3. Understanding sprite features like multicolor mode, double size options, collision detection, and managing sprite image data through tools like the Sprite Editor enhances game development on the MEGA65.

Grounding Large Language Models in a Cognitive Foundation

The Gradient • 20 implied HN points • 15 Apr 23
🕹 Technology AI Robotics Neural Networks Speech Recognition
  1. Intelligent robots have struggled commercially due to the challenge of having meaningful conversations with them.
  2. Recent advancements in AI, speech recognition, and large language models like ChatGPT and GPT-4 have opened up new possibilities.
  3. For robots to effectively interact in the physical world, they need to quickly adapt to context and be localized in their knowledge.

Data Science Weekly - Issue 417

Data Science Weekly Newsletter • 19 implied HN points • 18 Nov 21
🕹 Technology Data science Machine Learning AI Programming Visualization
  1. Brains are like prediction machines which help save energy. They do this by predicting what they will perceive in the world around them.
  2. AI is being used to help scientists study chimpanzee behavior in the wild. It can find important clips in hours of footage much faster than humans.
  3. Different approaches to AI governance exist between the EU and the US. This may affect how they collaborate on AI in the future.

Gradient Flow #41: What’s New in Data Engineering; MLOps Anti-Patterns

Gradient Flow • 19 implied HN points • 12 Aug 21
🕹 Technology Data Engineering MLOps Cloud Computing Open Source Machine Learning
  1. The podcast discusses changes in the data science role and tools, along with insights on new data engineering trends.
  2. An overview of new developments in tools and infrastructure, including a chatbot, recommendation system, and MLOps anti-patterns to avoid mistakes.
  3. Recommendations cover topics like the evolution of PyTorch, guidelines for open datasets stewardship, and insights into the analytical application stack.

GPT Store, text-to-3d in under 10 seconds, DeepSeekMoE 16B, jailbreaking advanced LLMs, LLaVA-ϕ, Microsoft's open-source agent framework, and more

AI Brews • 12 implied HN points • 12 Jan 24
🕹 Technology AI Language Models Open Source AI Tools
  1. OpenAI launched the GPT Store for finding GPT models and a revenue program for GPT builders.
  2. DeepSeek released DeepSeekMoE 16B, a large language model with 16.4B parameters trained from scratch.
  3. Microsoft Research introduced TaskWeaver, an open-source agent framework to convert natural language requests into executable code.

Update #47: AI Index Report Highlights and Text-to-3D

The Gradient • 20 implied HN points • 11 Apr 23
🕹 Technology AI Research Models Publications Generative models
  1. The AI Index Report highlights industry leading in AI research over academia, new models reaching performance saturation, and a rise in AI misuse.
  2. Publication trends show an increase in journal articles over conference papers, industry surpassing academia in impactful research, and increased industry hiring over academia.
  3. Advancements in text-to-3D models leverage text-to-2D models, showing progress in generating 3D data from text descriptions.

Tippets #193

Tippets by Taps • 2 implied HN points • 25 May 25
🕹 Technology AI Software Web Business Innovation
  1. Google is back in the AI game and has launched several new products to become an industry leader in artificial intelligence. They want to make AI a core part of all their services, not just an extra feature.
  2. Walmart is changing its image by using new technology and e-commerce to stay competitive with Amazon. They are focusing on improving their stores and attracting more affluent customers.
  3. The U.S. Treasury is stopping the minting of pennies because it costs more to make them than they are worth. This change shows how our payment systems are evolving in a more cashless world.

🤦‍♂️ Poor data cleansing & high costs sink 98% of machine learning projects

HackerPulse Dispatch • 5 implied HN points • 12 Nov 24
🕹 Technology Machine Learning Cybersecurity Data Analytics Software Development Database Management
  1. Most machine learning projects fail because of bad data cleaning and high costs. Companies are looking for better ways to manage their budgets.
  2. There are new security threats in programming, like malware hiding in code libraries. Developers need to check packages carefully before using them.
  3. Intel found a huge boost in performance for their Linux kernel from a tiny code change. This shows how small tweaks can lead to big improvements.

Automatic Swatting as a service

GOOD INTERNET • 20 implied HN points • 18 Apr 23
🕹 Technology AI AI music Deepfakes
  1. Automatic swatting incidents are being automated with the use of computer-generated voices, making the harassment technique more dangerous and prevalent.
  2. There are concerns about the intersection of capitalism and AI development, as companies prioritize profit over ethical AI creation.
  3. AI-generated music using synthetic voices by artists like Drake and The Weeknd may pose copyright challenges and raise questions about the future of music creation and distribution.

Data Science Weekly - Issue 416

Data Science Weekly Newsletter • 19 implied HN points • 11 Nov 21
🕹 Technology Data science Machine Learning AI Visualization Computer Vision
  1. Mature machine learning systems can be tough to improve. Even with cutting-edge technology, you might find that new models don't perform better than old ones.
  2. Data drift and outlier detection are important for monitoring ML models. They help identify issues when you lack ground truth labels to compare against.
  3. Language models score how 'human' a sentence sounds. To train these models, you can analyze and convert language into probabilities.

More on the Apple Vision Pro

Don't Worry About the Vase • 11 HN points • 13 Feb 24
🕹 Technology Reviews Hardware Software Entertainment Productivity
  1. Reviews highlight the Apple Vision Pro's impressive entertainment features but express disappointment in its productivity capabilities.
  2. There are concerns raised about the weight, battery life, and setup process of the device.
  3. The potential for the Apple Vision Pro to excel in specific use cases, such as watching movies and immersive experiences, is noted, while its value for productivity is still uncertain.

Episode 23: Burkhard On Qt Embedded Systems

burkhardstubert • 19 implied HN points • 08 Nov 21
🕹 Technology Embedded Systems Software Development Architecture
  1. Hexagonal architecture is suggested as the standard for Qt embedded systems. This architecture helps organize code and makes it easier to manage.
  2. Current navigation apps in cars often lack self-learning features. A better app would remember routes taken and suggest them based on past trips.
  3. Automatic software updates are crucial for embedded systems. This helps companies quickly fix problems or add features without needing to send technicians.

On Why The Digital World Is Burning

Ulizzle On Software • 11 implied HN points • 14 Feb 24
🕹 Technology Ethics AI Propaganda Plagiarism Digital World
  1. Passing off AI-generated content as one's own is unethical and misleading, violating principles of truthfulness and integrity.
  2. Ignoring unethical uses of AI, like plagiarism, undermines trust, distorts integrity, and disrespects creators.
  3. While individual cases of plagiarism are important, focusing on broader implications of AI, such as undetectable propaganda, is crucial for maintaining transparency and ethical use.

2024 Predictions

Data Taboo • 12 implied HN points • 01 Jan 24
🕹 Technology Artificial Intelligence Cultural shift Predictions Romanticism AI Impact
  1. Predictions on AI and culture focus on industrial revolution with AI and networked communications, shift in Western culture to New Puritanism, and geopolitical shift to a multipolar world.
  2. Concerns over the economic impact of AI and potential for an AI Winter in 2024.
  3. Observations on cultural shifts towards anti-romanticism, including risk-averse culture, derivative art, and impact on film and literature production.

Bluezone: lợi bất cập hại

Thái | Hacker | Kỹ sư tin tặc • 19 implied HN points • 13 Aug 21
🕹 Technology Cybersecurity Data Privacy Health tech Data Collection
  1. Bluezone project in Vietnam collects a lot of data and requests extensive security permissions from user's phones, raising concerns about data privacy and security
  2. The effectiveness of Bluezone in pandemic prevention is questioned, highlighting the importance of quality over quantity in identifying COVID-19 cases
  3. Government-mandated usage of Bluezone without clear accountability or transparency on its impact and security raises concerns about its true benefits and potential drawbacks

Data Science Weekly - Issue 415

Data Science Weekly Newsletter • 19 implied HN points • 04 Nov 21
🕹 Technology Data science Machine Learning Artificial Intelligence Programming Visualization
  1. Audio signal processing is important for machine learning projects that involve sound. To analyze sound effectively, you need to convert it into spectrograms first.
  2. Algorithmic efficiency in deep learning has improved greatly, requiring much less computing power than before. This means we can train complex neural networks faster and more efficiently now.
  3. Understanding Gaussian processes can be complicated, but looking at them in different ways can help. Each perspective gives new insights and makes the concept easier to grasp.

Gradient Flow #40: Data Augmentation in NLP, Temporal Knowledge Bases, Storage for AI

Gradient Flow • 19 implied HN points • 29 Jul 21
🕹 Technology Storage Artificial Intelligence
  1. Data augmentation is important in NLP to increase training data diversity without needing new data collection.
  2. Temporal knowledge bases like Temporal and anomaly detection tools like CueObserve are crucial for data engineering and machine learning workflows.
  3. Understanding the factors influencing the selection of canonical machine learning benchmarks is essential for the ML community.

How GPT killed then saved my startup

How Software "Sells Itself" • 10 implied HN points • 10 Mar 24
🕹 Technology Startups Artificial Intelligence Software Development Innovation Automation
  1. Before ChatGPT, the startup's product seemed impossible, automating meeting recordings into highlight videos.
  2. The introduction of more advanced AI like GPT4 raised the bar for intelligence, leading to a major overhaul of the startup's technology.
  3. Despite the initial setback, utilizing GPT-based pipeline enabled the creation of more flexible highlight videos in a simpler, streamlined process.

The Belamy | Metaverse, Robot Tax & AI-Ready Youth

Sector 6 | The Newsletter of AIM • 19 implied HN points • 12 Sep 21
🕹 Technology AI Metaverse Robotics Deep Learning Youth Development
  1. The metaverse is a growing digital space where people can interact and create, much like the real world. It's becoming an important part of our online experience.
  2. There is a discussion about a 'robot tax', which would be a tax on companies that use robots to replace human jobs. This could help address job loss due to automation.
  3. Preparing young people for an AI-driven future is crucial. Education systems are starting to include skills related to AI and technology to better equip the next generation.

Intermediate Superintelligence

Am I Stronger Yet? • 15 implied HN points • 12 Sep 23
🕹 Technology AI Intelligence Productivity Research Computing
  1. Intermediate superintelligence is not expected to happen overnight, but gradually surpass human capabilities on various tasks.
  2. Intelligence significantly impacts productivity in tasks; talented individuals can find more efficient solutions and execute them quickly.
  3. AI advancements go beyond intelligence, offering unique advantages like relentless focus, lack of fatigue, and enhanced communication abilities.

Data Science Weekly - Issue 414

Data Science Weekly Newsletter • 19 implied HN points • 28 Oct 21
🕹 Technology Data science Machine Learning AI Software Development Data Analysis
  1. Machine learning can work with messy data. The key is to adapt techniques to handle things like missing values instead of spending all the time cleaning the data.
  2. Visualizations should be clear and focused. Good designs help people understand the information better by removing clutter and emphasizing main points.
  3. There are emerging tools and techniques that can speed up scientific discovery through faster machine learning methods. This helps researchers process data in real time and make new discoveries.

#91

The Nibble • 4 implied HN points • 30 Dec 24
🕹 Technology AI Cryptocurrency Software User Interface Web Development Home Automation
  1. Apple is working on a video doorbell with Face ID, which is a new direction for the company that mostly makes money from AirPods and iPhones. This could change how people think about home security.
  2. In the AI world, several new tools and models are being released, like Goodfire's Ember, which helps shape AI responses. This shows the rapid growth and innovation happening in artificial intelligence.
  3. There is a rising interest in decentralization within the Ethereum community, but concerns are growing about groups forming that may stray from its core values. This raises important questions about the future of the community.

Introduction to Virtualization Technology

Anders’s Substack • 1 HN point • 17 Mar 24
🕹 Technology Virtualization Containerization Servers Networks Storage
  1. Virtualization technology reshapes IT infrastructure by creating virtual instances of computing resources, leading to increased agility and efficiency for businesses.
  2. Virtualization enables server, desktop, network, and storage optimization, allowing for workload consolidation, centralized management, and resource scalability across various IT aspects.
  3. Implementing virtualization technology promotes cost savings, energy efficiency, workload mobility, and enhanced security within IT environments, positioning organizations to be competitive and resilient in the digital realm.

Lessons Answer.AI can learn from history’s greatest R&D labs

FreakTakes • 11 implied HN points • 26 Jan 24
🕹 Technology Research & Development Industrial Parallel Computing Funding Innovation
  1. Learn from the past: Draw lessons from historical R&D labs like Edison's Menlo Park Lab and the Early GE Research Laboratory.
  2. Focus on application: Aim to build practical, impactful technology rather than just pursuing theoretical breakthroughs.
  3. Embrace innovation: Be bold, think long-term, and run your own race free from competition.