The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

2024 Data Orchestration Pricing Deep Dive

The Orchestra Data Leadership Newsletter • 19 implied HN points • 12 Mar 24
🕹 Technology Data Orchestration Open Source Tools Managed Services Pricing Models Comparisons
  1. Understanding the pricing of data orchestration tools is crucial for managing costs efficiently in data pipelines.
  2. Consider the trade-offs between self-hosted open-source options like Airflow, Prefect, Dagster, Mage, and managed services like MWAA, Cloud Composer, Astronomer, Prefect Cloud, and Dagster Cloud.
  3. Orchestra offers fixed pricing based on the number of pipelines and tasks, providing certainty in costs, potential savings, and efficiency gains for data teams.

Top 10 Signs of an Inexperienced Programmer and How to Avoid Them

Brain Bytes • 39 implied HN points • 29 Nov 23
🕹 Technology Programming Software Development Debugging Libraries
  1. Always prioritize the user in programming. User feedback is essential for creating successful products.
  2. Plan before you code. Having a clear plan and design prevents bugs and ensures your code aligns with your goals.
  3. Keep your code organized and clean to work efficiently. Avoid overcomplicating solutions and remember to follow best coding practices.

The Most Generated Barn in America

Cybernetic Forests • 79 implied HN points • 08 Jan 23
🕹 Technology AI Ontology Images Data Models
  1. Different names proposed before settling on 'photograph' offer unique perspectives on how people made sense of images.
  2. AI images are not photographs, as they use light differently and inscribe ontologies onto noise using data and categories.
  3. Ontolography, a proposed term for AI-generated images, emphasizes the domain-specific knowledge influencing their production and underlines how they are shaped by the category assignments and labels given to them.

Must Learn AI Security Compendium 16: Shadow AI

Rod’s Blog • 39 implied HN points • 29 Nov 23
🕹 Technology AI Security Generative AI Data Privacy Ethical AI Governance
  1. Shadow AI can expose organizations to risks like data leakage, model poisoning, unethical outcomes, and lack of accountability.
  2. To address shadow AI risks, organizations should establish a clear vision, encourage collaboration, implement robust governance, follow responsible AI principles, and regularly monitor AI systems.
  3. Adopting a responsible and strategic approach to generative AI can help organizations leverage its benefits while minimizing the risks associated with shadow AI.

Exploring recent Python repositories

Mostly Python • 314 implied HN points • 22 Jun 23
🕹 Technology Programming Open Source Web Development Software Engineering APIs
  1. Use the GitHub API to explore popular new Python projects and find potential projects to contribute to.
  2. Consider filtering out AI-focused projects when exploring Python repositories to discover a variety of coding projects.
  3. Pruning repositories using specific terms can help identify non-AI Python projects to work on, providing valuable learning opportunities.
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They Invent, Amazon Re-invents

Sector 6 | The Newsletter of AIM • 39 implied HN points • 29 Nov 23
🕹 Technology AI Cloud Software Innovation Big Tech
  1. Big tech companies are competing to showcase new technologies, trying to outdo each other with better innovations.
  2. AWS has introduced a new chatbot named Q, which is designed for their customers to chat and generate content easily.
  3. AWS Q can be customized to work with various software used by organizations, making it flexible for different business needs.

TikTok, Congress Takes a Massive L on S&T Funding, AI Hardware Controls

ChinaTalk • 177 implied HN points • 15 Mar 24
🕹 Technology AI Technology Policy Artificial Intelligence
  1. Chinese tech founders, like Zhang Yiming, are more focused on global competition than spreading political ideology. They face challenges in a government-controlled environment but are driven by personal ambitions and past experiences.
  2. The U.S. Congress has made significant budget cuts to science and technology funding, jeopardizing the country's ability to compete with nations like China in emerging technologies such as AI and quantum computing.
  3. Implementing AI hardware controls offers enhanced security but may face challenges like vulnerability to circumvention, prolonged lead times in rollout, and broader considerations for governing compute power.

How do AI security products being sold to schools really work?

School Shooting Data Analysis and Reports • 19 implied HN points • 12 Mar 24
🕹 Technology AI Security Education Data Analysis
  1. School administrators are facing pressure to evaluate AI security products but may lack expert knowledge to do so.
  2. Understanding how AI models are trained, the probability threshold, and error rates are crucial when assessing AI security solutions.
  3. The high stakes of AI security decisions for schools underscore the importance of asking detailed questions about the technology being implemented.

Code coverage doesn't matter much

Andrew's Substack • 83 implied HN points • 29 Nov 24
🕹 Technology Software Testing Development Engineering Programming
  1. Code coverage alone doesn't indicate whether tests are good or useful. It's more about the quality of the tests than the quantity.
  2. Not all tests are valuable; some can be complex and fail for reasons that don't matter, which can lead to false confidence in the code.
  3. The aim of testing should be to assure that your code works and to catch errors, instead of just trying to raise a coverage percentage.

LLMs Training SLMs

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 12 Mar 24
🕹 Technology Artificial Intelligence Machine Learning Data science Natural Language Model Training
  1. Orca-2 is designed to be a small language model that can think and reason by breaking down problems step-by-step. This makes it easier to understand and explain its thought process.
  2. The training data for Orca-2 is created by a larger language model, focusing on specific strategies for different tasks. This helps the model learn to choose the best approach for various challenges.
  3. A technique called Prompt Erasure helps Orca-2 not just mimic larger models but also develop its own reasoning strategies. This way, it learns to think cautiously without relying on direct instructions.

AI is the future of the SDLC

Dev Interrupted • 32 implied HN points • 10 Jun 25
🕹 Technology AI Software Productivity Development Innovation
  1. AI will make software development faster and more efficient. It can help save time and reduce the amount of work needed to complete projects.
  2. Adopting AI in software development should be done with a clear plan. It's important to set rules and guidelines for how AI is used to ensure it benefits the team.
  3. There's a debate about the impact of AI on coding. Some people are skeptical, but many believe that AI will change how we work in really positive ways.

Our Picks For The Top Repair Stories of 2022

Fight to Repair • 59 implied HN points • 15 Jan 23
🕹 Technology Regulation Repair Sustainability Hardware E-Waste
  1. State-wide laws are crucial for the right to repair movement to succeed, as seen in 2022 with wins in New York and Colorado.
  2. Companies like Apple's self-repair program may offer solutions, but without clear legislation, it can fall short in truly empowering consumers.
  3. Governments are taking steps towards standardization, like the EU mandating USB-C, to reduce electronic waste and increase sustainability.

How to use Machine Learning for your Small Business [Storytime Saturdays]

Technology Made Simple • 79 implied HN points • 17 Dec 22
🕹 Technology Machine Learning Small business AI Data Analysis Implementation
  1. Machine Learning can be effective for small businesses too, not just large corporations, opening up opportunities for growth and innovation.
  2. Understanding the process of implementing AI can benefit professionals across various roles, not just those directly working in AI fields.
  3. Having the right skills and knowledge about AI implementation can significantly increase your chances of success and career advancement.

Finding fake followers (Bluesky edition)

Conspirador Norteño • 68 implied HN points • 18 Jan 25
🕹 Technology Social media Internet Data Analysis Spam Detection Artificial Intelligence
  1. You can spot fake followers on Bluesky by looking for accounts with similar join dates and generic profiles. These accounts often have no posts and repetitive bios.
  2. Using a method where you track the followers of suspected fake accounts can help identify whole networks of fake followers. By downloading and filtering their followers, you can map out these networks.
  3. The Bluesky platform has a real-time feature called the firehose that makes it easier to catch fake follower activity as it happens. However, this can give some false positives, so users need to be careful.

How to Regulate Social Media

Erik Explores • 61 implied HN points • 09 Feb 25
🕹 Technology Social media Algorithms Moderation Regulation Ethics
  1. Social media algorithms often promote extreme or divisive content to keep users engaged, which is harmful. Creating ethics boards to oversee these algorithms could help focus on more positive and informative content instead.
  2. Moderation of social media content does not always balance free speech with the need to prevent harmful misinformation. It's important to have clear processes for content removal and to empower users in the moderation process.
  3. Users need better tools to evaluate and discuss opinions without just liking or disliking them. A system that rewards thoughtful, respectful discussions can shape healthier online interactions.

Welcome to Ronin, Fableborne!

Ronin’s Newsletter • 86 implied HN points • 13 Nov 24
🕹 Technology Gaming Blockchain NFTs Mobile Apps
  1. Fableborne is a free-to-play mobile game that combines elements of Diablo and Clash of Clans. It has attracted a lot of players, with over 100,000 joining in its second season.
  2. To start playing, you should create a Pixion ID and connect your Ronin Wallet at Fableborne.com. This will let you earn rewards and join the game's community.
  3. Essence is a special currency in the game that players earn through gameplay. There are different types of Essence, and holding certain NFTs can give you extra benefits.

Emerging Wedges in Vertical AI Startups

Tanay’s Newsletter • 75 implied HN points • 16 Dec 24
🕹 Technology AI Startups Voice technology Search Algorithms Content Generation
  1. Voice AI helps businesses automate customer interaction, making it easier to handle calls and inquiries. This saves time and cuts costs while providing support 24/7.
  2. Unstructured data parsing allows companies to turn messy, unorganized information into useful data. This helps employees work faster and more accurately by reducing the need for manual data entry.
  3. Verticalized search tools aid in focused research by retrieving relevant, domain-specific information. They are particularly useful in fields like law and finance where specific data is crucial for decision-making.

Must Learn AI Security Part 25: Sponge Attacks Against AI

Rod’s Blog • 39 implied HN points • 27 Nov 23
🕹 Technology AI Security Adversarial Attacks Vulnerabilities
  1. A Sponge attack against AI aims to confuse, distract, or overwhelm the AI system with irrelevant or nonsensical information.
  2. Types of Sponge attacks include flooding attacks, adversarial examples, poisoning attacks, deceptive inputs, and social engineering attacks.
  3. Mitigating a Sponge attack involves strategies like input validation, anomaly detection, adversarial training, rate limiting, monitoring, security best practices, updates, and user education.

Cognitive sovereignty

storyvoyager • 6 implied HN points • 01 Dec 25
🕹 Technology Artificial Intelligence Neurotechnology Semiconductors Cognitive Science
  1. Accessing knowledge on an external server isn’t the same as being intelligent; intelligence depends on internal processing, not just retrieval.
  2. Having 'taste' or good ideas requires storing and processing at least some knowledge inside the brain rather than outsourcing all judgment.
  3. The future will favor developing organic, brain-integrated semiconductors so people can maintain cognitive independence alongside AI.

Honeymoon with ChatGPT

Splattern • 39 implied HN points • 27 Nov 23
🕹 Technology AI Web Development Coding Software Programming
  1. ChatGPT can help you build a simple website quickly, even if you have little coding experience. You can get a lot done with just a few prompts.
  2. It's easy to ask ChatGPT to tweak and improve your code, making debugging simpler. You can keep refining your work until it fits your needs.
  3. While ChatGPT is great for generating code, it might struggle with complex math or writing tasks, but you can guide it to get better results.

Behind the curtain: what it feels like to work in AI right now

Democratizing Automation • 350 HN points • 05 Apr 23
🕹 Technology Artificial Intelligence Career Research Ethics Innovation
  1. Working in AI is currently intense and fast-paced due to the impact of the ChatGPT moment.
  2. The AI industry is experiencing major shifts in career choices, project focus, and company creation.
  3. Balancing the pressures of being first or best in AI, adapting to rapid changes, and prioritizing long-term impact is key for success in this field.

All the bullshit I did as a kid (part 1?)

Basta’s Notes • 204 implied HN points • 17 Jan 24
🕹 Technology Programming Web Development Operating Systems Software Development Tech industry
  1. The author reflects on the interesting and ambitious projects they worked on as a kid, showcasing a strong interest in technology and programming.
  2. Despite lacking mentorship, the author taught themselves valuable programming skills, such as building their own web browser and writing complex code like a CSS parser.
  3. The journey from tinkering with personal computers to winning a programming contest and earning internship opportunities highlights the author's growth and passion for technology.

[Solution]Problem 76: Combination Sum [Google]

Technology Made Simple • 59 implied HN points • 24 Feb 23
🕹 Technology Programming Algorithms Graphs Recursion Backtracking
  1. The problem involves backtracking, recursion, and graph modeling to find unique combinations that sum to a target.
  2. Modeling the problem as a graph with states and transitions helps in traversal mechanics using DFS.
  3. Implementing a simple graph traversal algorithm, backtracking, and a global variable to track combinations can efficiently solve the problem.

How RLHF actually works

Democratizing Automation • 306 implied HN points • 21 Jun 23
🕹 Technology AI Machine Learning Data science Open Source Scaling
  1. RLHF works when there is a signal that vanilla supervised learning alone doesn't work, like pairwise preference data.
  2. Having a capable base model is crucial for successful RLHF implementation, as imitating models or using imperfect datasets can greatly affect performance.
  3. Preferences play a key role in the RLHF process, and collecting preference data for harmful prompts is essential for model optimization.

The Sequence Knowledge #760: Everything You Need to Know About Generative Synthesis in AI Models

TheSequence • 7 implied HN points • 25 Nov 25
🕹 Technology Data generation Machine Learning Research Trends
  1. Generative synthesis methods can be divided into two types: spec-first and goal-conditioned. Spec-first starts with a set plan, while goal-conditioned focuses on achieving a specific result.
  2. Different model classes, like autoregressive decoders and latent models, can be used to implement these methods. The choice of model affects how constraints are placed and how results are generated.
  3. Not all generative synthesis techniques are the same, and understanding their differences is essential for effective use in AI models. This can help in choosing the right approach for specific tasks.

SDF

davidj.substack • 59 implied HN points • 12 Feb 25
🕹 Technology Data Tools Software Development Data Engineering Machine Learning Analytics
  1. SDF and SQLMesh are alternatives to dbt for data transformation. They are both built with modern tech and aim to provide better ease of use and performance.
  2. SDF has a built-in local database, allowing developers to test queries without costs from a cloud data warehouse. This can speed up development and reduce costs.
  3. Both tools offer column-level lineage to track changes, but SQLMesh provides a better workflow for managing breaking changes. SQLMesh also has unique features like Virtual Data Environments that enhance developer experience.

Edge 457: Can we Distill Specific Knowledge in LLMs? An Intro to Attention-Based Distillation

TheSequence • 77 implied HN points • 17 Dec 24
🕹 Technology Machine Learning Artificial Intelligence Data science Software Development Natural Language Processing
  1. Attention-based distillation (ABD) is a method that helps smaller models learn from larger models by mimicking their attention patterns. This can make the smaller models perform better with fewer resources.
  2. Unlike traditional methods that just look at output predictions, ABD focuses on the reasoning process of the larger model. This leads to a deeper understanding and better results for the smaller model.
  3. Using ABD can produce student models that perform well even when they have less complexity. This is useful for applications where efficiency is key.

The Sequence Research #466: Small but Migthy, Diving Into Microsoft Phi-4

TheSequence • 70 implied HN points • 10 Jan 25
🕹 Technology AI Software Data science Research Innovation
  1. Microsoft's Phi-4 is a new language model that's smaller in size but powerful in performance. It shows that high-quality data can make a big difference in AI.
  2. Phi-4 has 14 billion parameters, which means it can handle complex language tasks effectively. This model builds on the success of earlier Phi models.
  3. The innovations in Phi-4 come from its unique approach to training, focusing on pre-training, mid-training, and post-training stages to enhance its capabilities.

Beware value capture

SatPost by Trung Phan • 201 implied HN points • 19 Jan 24
🕹 Technology Metrics Social media AI Streaming
  1. Tech apps influence our behavior through metrics, so don't blindly follow them
  2. Metrics like rankings, step counts, and likes can lead to 'value capture' influencing our decisions and behavior
  3. Be aware of how external metrics set by institutions in apps can guide our values and behaviors without us realizing

Tech is Going to Get Much Bigger

Not Boring by Packy McCormick • 232 implied HN points • 08 Nov 23
🕹 Technology AI Robotics Startups Automation Innovation
  1. Tech is going to expand significantly as energy, intelligence, and labor become cheaper and more abundant.
  2. Tech companies will grow larger due to their ability to provide scalable intelligence and dexterity services to various industries.
  3. Every market will start to resemble a software market with lower costs, higher margins, and increased R&D investments.

Run Large Language Model On Your Own Computer

The Beep • 19 implied HN points • 10 Mar 24
🕹 Technology AI Software Hardware Programming Data science
  1. You can run large language models, like Llama2, on your own computer using a tool called Ollama. This allows you to use powerful AI without needing super high-tech hardware.
  2. Setting up Ollama is simple. You just need to download it and run a couple of commands in your terminal to get started.
  3. Once it's running, you can interact with the model like you would with any chatbot. This means you can type prompts and get responses directly from your own machine.

Intel Demonstrates High-Speed 3nm Silicon

More Than Moore • 186 implied HN points • 20 Feb 24
🕹 Technology Semiconductors Engineering
  1. Intel showcased high-speed 3nm silicon technology at ISSCC 2024, revealing their advancements in SERDES connectivity.
  2. SERDES links, like PCIe, have evolved over the years and can now achieve faster transfer rates through encoding advancements like PAM-4 and PAM-6.
  3. Presenting impressive silicon like the Bixby Creek chip demonstrates Intel's commitment to developing power-efficient high-speed connections and prepares IP blocks for customer use in new process nodes.

Not All Layers Are Equal

Gonzo ML • 63 implied HN points • 31 Jan 25
🕹 Technology AI Research Machine Learning Data science Neural Networks Computational Theory
  1. Not every layer in a neural network is equally important. Some layers play a bigger role in getting the right results, while others have less impact.
  2. Studying how information travels through different layers can reveal interesting patterns. It turns out layers often work together to make sense of data, rather than just acting alone.
  3. Using methods like mechanistic interpretability can help us understand neural networks better. By looking closely at what's happening inside the model, we can learn which parts are doing what.

Taiwan AI Conference Slides, Nvidia Fraud Hoax, Huawei, ARM IPO, and Intel

Mule’s Musings • 263 implied HN points • 06 Sep 23
🕹 Technology AI Semiconductors Crypto Internet Conspiracy Theories
  1. The Taiwan AI conference had great slides and discussions on AI content and technology.
  2. There is a debunking of the 'Nvidia is a fraud' narrative, explaining reasons for recent actions by Nvidia.
  3. The complexity of internet-scale events can lead to conspiracy theories as people try to make sense of things beyond their understanding.

The Atomized Empire

Based Meditations • 39 implied HN points • 25 Nov 23
🕹 Technology Internet Algorithms Social Interaction Tech Addiction Digital Culture
  1. The Atomized Empire metaphorically represents how technology has enslaved us, influencing behavior through digital means.
  2. Technology, like a modern Trojan Horse, has stealthily infiltrated our lives, controlling us through addictive algorithms and impacting human culture.
  3. Our increasing addiction and reliance on technology is leading to loneliness, social disconnection, and a detachment from the real world, hindering deep human connections and meaningful interactions.

Career advice: Learn how to debug

Wednesday Wisdom • 85 implied HN points • 13 Nov 24
🕹 Technology Software Development Career Advice Problem Solving Technical Skills
  1. Learning to debug helps you solve your own problems, giving you control over your work and allowing you to be more effective.
  2. Debugging teaches you valuable lessons and knowledge that you can apply in future situations, making you more confident as you grow in your career.
  3. When you debug before asking for help, you can ask clearer questions and provide better information, which makes it easier for others to assist you.

Google's 3 Pillars for Building Resilient and Scalable Systems [Systems Design Sundays]

Technology Made Simple • 79 implied HN points • 12 Dec 22
🕹 Technology Systems Design Automation Scalability Resilience
  1. Scalability is crucial for systems to handle increased loads like more users without losing performance.
  2. Resilient systems can handle various challenges like constant user actions and security threats.
  3. Automation and loose coupling are key pillars for enhancing the scalability and resilience of systems.