The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Nearly Headless BI

davidj.substack • 59 implied HN points • 25 Jun 25
🕹 Technology Data science Business Intelligence Artificial Intelligence Analytics Semantics
  1. Snowflake and Databricks are using a semantic layer, which helps make data easier to understand and access. This is a shift from older methods that relied heavily on text-based commands.
  2. The rise of AI has changed what businesses need from their analytics tools. Now, having a semantic layer is a must for companies that want to stay competitive in agentic analytics.
  3. Headless business intelligence is fading away as companies now blend traditional analytics with smarter, AI-driven tools. This could change how data warehouses and BI tools work together in the future.

DeepSeek-V3: Training

Gonzo ML • 126 implied HN points • 08 Feb 25
🕹 Technology Machine Learning Artificial Intelligence Data science Software Development Computer Science
  1. DeepSeek-V3 uses a lot of training data, with 14.8 trillion tokens, which helps it learn better and understand more languages. It's been improved with more math and programming examples for better performance.
  2. The training process has two main parts: pre-training and post-training. After learning the basics, it gets fine-tuned to enhance its ability to follow instructions and improve its reasoning skills.
  3. DeepSeek-V3 has shown impressive results in benchmarks, often performing better than other models despite having fewer parameters, making it a strong competitor in the AI field.

What could a solution to the alignment problem look like?

Musings on the Alignment Problem • 259 implied HN points • 27 Sep 22
🕹 Technology AI Systems
  1. One approach is to ensure alignment research stays ahead of AI capabilities to prevent issues, which could involve slowing down capabilities research or dedicating compute to alignment research.
  2. Finding a comprehensive once-and-for-all solution to the alignment problem is crucial for ensuring all future AI systems are aligned, but it remains uncertain if this is possible.
  3. Developing formal theories for alignment, creating processes to elicit values inclusively and fairly, and training AI systems to be fully aligned are key components that require significant effort and progress in the field.

Discwasher SpikeMaster

Computer Ads from the Past • 128 implied HN points • 01 Feb 25
🕹 Technology Gadgets History Hardware Electronics Computing
  1. The Discwasher SpikeMaster was designed to protect computers from electrical surges. It featured multiple outlets and surge protection to keep devices safe.
  2. Discwasher was a well-known company for computer and audio accessories, but it dissolved in 1983. Despite this, its products continued to be mentioned in various publications years later.
  3. The SpikeMaster was marketed for its ability to filter interference and manage power safely. It made it easier for users to power multiple devices without the worry of damaging surges.

Exploring recent Python repositories, part 2

Mostly Python • 628 implied HN points • 29 Jun 23
🕹 Technology Programming Open Source Software Development Data Analysis Web Development
  1. The post explores new Python repositories that have gained just a small number of stars, filtering out the projects with no attention.
  2. Over 300,000 Python repositories are pushed to GitHub each month, showing the challenge of getting noticed among the vast amount of projects.
  3. Projects with a few stars can still be interesting and worth exploring, like a Pygame project inspired by Factorio.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

VenturCom's VENIX

Computer Ads from the Past • 384 implied HN points • 19 Feb 24
🕹 Technology Computers Operating Systems Software Development Tech History
  1. VenturCom was founded in 1980 and worked on various projects including Venix, Windows NT, and Windows CE. They later changed their name to Ardence, which was acquired by Citrix Systems before becoming IntervalZero.
  2. Venix was one of the first UNIX systems for IBM PCs, based on Version 7 Unix with enhancements. It had different versions released over the years and received feedback on pricing, performance, and features compared to other similar systems like Xenix.
  3. Reviews from publications like PC Magazine and Dr. Dobb's Journal praised Venix's compatibility with System V Unix, while also highlighting areas for improvement like bugs, DOS interface, and third-party software support.

Acceleration With Consequences

Kathy PM • 7 implied HN points • 03 Jan 26
🕹 Technology Artificial Intelligence Software Engineering Developer Tools User Experience Product Design Automation Human factors
  1. AI is shifting from one-off features to ongoing relationships, so tools will be judged by how they behave and fit into users' lives over weeks, not just by single outputs.
  2. Agency and control matter more than raw intelligence; the hardest design choices are about when an AI should act, when it should stay quiet, and who gets to decide.
  3. Working code alone won’t win — teams need understandable, maintainable systems and clear mental models, because loss of trust and confusing handoffs will drive people away faster than bugs.

Visit to Bataan NPP, 2013-09

Gordian Knot News • 124 implied HN points • 11 Feb 25
🕹 Technology Energy Nuclear Infrastructure Environment Urban planning
  1. The Bataan Nuclear Power Plant was nearly finished but never started due to political issues. It had been built during Marcos' regime but was halted after his overthrow.
  2. The plant has been neglected since the 1980s, meaning it suffers from damage and requires significant investment to be operational again. Some believe it could be revived in the future with the right leadership.
  3. Despite being outdated in some ways, the plant's control systems are considered reliable since they don't have software vulnerabilities. There's a discussion about improving monitoring without losing the existing analog system.

2025 in AI Video (Featuring My Top 10)

Jakob Nielsen on UX • 11 implied HN points • 11 Dec 25
🕹 Technology AI Video User Experience Content creation Multimedia Speech Synthesis Animation
  1. AI video technology made big leaps—better avatars, movement, and native audio—but it still struggles with longer, coherent storytelling because clips are short and audio, voice, and motion aren’t yet consistently coordinated.
  2. AI is reshaping creative work and UX by automating many UI tasks and enabling highly personalized content, which pushes designers toward higher-level roles like orchestrating experiences and guiding AI outputs.
  3. Creators need to adapt by focusing on real engagement metrics (like retention, not just clicks), ensuring character and audio consistency, and building human skills such as judgment and persuasion to work effectively with AI.

Claude 3.7 and the banality of reasoning

Artificial Ignorance • 117 implied HN points • 25 Feb 25
🕹 Technology Artificial Intelligence Software Development Machine Learning Data science Computer Science
  1. Claude 3.7 introduces a new way to control reasoning, letting users choose how much reasoning power they want. This makes it easier to tailor the AI’s responses to fit different needs.
  2. The competition in AI models is heating up, with many companies launching similar features. This means users can expect similar quality and capabilities regardless of which AI they choose.
  3. Anthropic is focusing on making Claude better for real-world tasks, rather than just excelling in benchmarks. This is important for businesses looking to use AI effectively.

What the executive order means for openness in AI

AI Snake Oil • 489 implied HN points • 31 Oct 23
🕹 Technology AI Policy Compliance Research
  1. The executive order on AI strives to address various benefits and risks, impacting openness in the AI landscape.
  2. The EO does not include licensing or liability provisions, which could limit openness in AI development.
  3. The EO emphasizes defense against malicious AI uses, registration and reporting requirements, and transparency audits to ensure security and accountability.

($) DeepSeek Diffusion

Interconnected • 123 implied HN points • 07 Feb 25
🕹 Technology AI Open Source Geopolitics Cloud Computing Cybersecurity
  1. The ongoing discussion about DeepSeek focuses too much on the rivalry between the U.S. and China. It's more about whether technology is open source or closed source.
  2. Open source technology, like DeepSeek, can spread quickly and widely, getting adopted by various companies across the globe.
  3. Major cloud providers, including U.S. companies, are offering DeepSeek models to their customers, showing its significant impact in the tech world.

Can Minor Document Typos Comprehensively Disrupt RAG Retriever & Reader Components?

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 20 May 24
🕹 Technology AI NLP Data Algorithms Machine Learning
  1. RAG systems can struggle with small mistakes in documents, making them vulnerable to errors. Even tiny typos can disrupt how well these systems work.
  2. The study introduces a method called GARAG that uses a genetic algorithm to create tricky documents that can expose weaknesses in RAG systems. It's about testing how robust these systems really are.
  3. Experiments show that noisy documents in real-life databases can seriously hurt RAG performance. This highlights that even reliable retrievers can falter if the input data isn’t clean.

Microsoft Sentinel SOC 101: How to Detect and Mitigate a VIP Account that has Multiple Failed Logons within a Threshold with Microsoft Sentinel

Rod’s Blog • 99 implied HN points • 17 Oct 23
🕹 Technology Security Microsoft Cyberattacks Cloud Automation
  1. Microsoft Sentinel helps in detecting and mitigating brute-force attacks on VIP accounts, which are high-level privileged user accounts in organizations.
  2. Brute-force attacks involve trying multiple passwords to gain unauthorized access to accounts or systems, making VIP accounts attractive targets.
  3. Organizations can use Microsoft Sentinel to set thresholds for failed logon attempts, create custom detection rules, investigate alerts triggered by VIP accounts, and take necessary response actions.

ONE IMAGE: HOISTED FROM THE ARCHIVES FROM 2020: The Moment I Realized Intel Was in Huge Trouble—But I Did Not See the TSMC-NVIDIA Angle

Brad DeLong's Grasping Reality • 161 implied HN points • 03 Dec 24
🕹 Technology Hardware Semiconductors Innovation Corporate strategy Industry Analysis
  1. Intel has been struggling to keep up with competitors like TSMC and Apple, especially in chip performance and manufacturing processes. This gap has raised concerns about Intel's future viability.
  2. Performance per watt is becoming more important in chip design, meaning companies like Apple that focus on this can gain a significant advantage over others, including Intel.
  3. Many believe Intel is in a tough spot with little hope for recovery. If things don’t improve, its value may only come from any cash payments the government might offer, rather than from future profits.

What Are the Real Questions in AI?

Am I Stronger Yet? • 172 implied HN points • 20 Nov 24
🕹 Technology AI Ethics AI safety AI Policy International cooperation Impact assessment
  1. There is a lot of debate about how quickly AI will impact our lives, with some experts feeling it will change things rapidly while others think it will take decades. This difference in opinion affects policy discussions about AI.
  2. Many people worry about potential risks from powerful AI, like it possibly causing disasters without warning. Others argue we should wait for real evidence of these risks before acting.
  3. The question of whether AI can be developed safely often depends on whether countries can work together effectively. If countries don't cooperate, they might rush to develop AI, which could increase global risks.

A TPM’s Field Guide to Annual Roadmap Planning

Building Rome(s) • 11 implied HN points • 02 Dec 25
🕹 Technology Program Management Product Strategy Project Planning Engineering Management Stakeholder Management
  1. Tie every proposal back to company OKRs and use clear metrics and smart questions to influence priorities even if you don’t own the product decision.
  2. Use simple capacity math (engineers × weeks) to make feasibility obvious, label stretch goals as aspirational, and protect teams from overcommitment.
  3. Manage dependencies with simple shared docs, secure soft commits with dates, document decisions clearly, and escalate through defined levels when blockers threaten the roadmap.

Why We Founded SaaSGrid

Bottom Up by David Sacks • 541 implied HN points • 06 Sep 23
🕹 Technology SaaS Metrics Data
  1. SaaS companies need a dedicated dashboarding platform for their metrics.
  2. Problems faced by SaaS companies include lack of proper metrics, errors in data, and lack of real-time availability.
  3. SaaSGrid provides a solution by automating the calculation of key SaaS metrics and offering real-time dashboards.

Thomson Reuters wins early AI copyright case

The PhilaVerse • 123 implied HN points • 12 Feb 25
🕹 Technology AI Copyright Legal Innovation Intellectual Property
  1. Thomson Reuters won a significant court case against Ross Intelligence for copyright infringement. They claimed Ross used their legal content without permission for AI training.
  2. The judge ruled against Ross, stating that their use of the content competed with Thomson Reuters and damaged their market value. This decision sets a strong precedent for future AI copyright cases.
  3. Legal experts warn that this ruling could make it harder for AI companies to argue fair use when using copyrighted material. It highlights ongoing concerns about how AI interacts with existing copyright laws.

Dead Internet Theory

Brain Lenses • 58 implied HN points • 16 Jan 24
🕹 Technology AI Conspiracy Theories Social media Chatbots Artificial Intelligence
  1. A conspiracy theory suggests that the internet is dominated by automated messages and bots, pushing humans out of online conversations.
  2. The increasing presence of AI-generated content raises concerns about overwhelming human-produced content and potential communication difficulties.
  3. There are worries that excessive AI content may lead to decreased human interaction on online platforms.

Conversation between Robert Wright and Google Gemini 2.0 Experimental Advanced

Nonzero Newsletter • 146 implied HN points • 03 Jan 25
🕹 Technology AI Development Cognitive Science Ethics Education
  1. Humans are complex; they can create beautiful things but also harm each other. It's a mix of potential and flaws that makes you interesting.
  2. To improve, people should focus on understanding different perspectives. This helps in communicating and resolving conflicts more effectively.
  3. Overcoming biases like confirmation bias or in-group bias is important for developing empathy. It helps you see the world from others' views and creates a better society.

Let me use my local LMs on Meta Ray-Bans

Democratizing Automation • 134 implied HN points • 15 Jan 25
🕹 Technology Innovation Product Development User Experience
  1. New AI devices like Meta Ray-Bans are becoming popular, changing our expectations for technology. They make tasks easier and more fun, but they need to improve to stay relevant.
  2. Local language models are important for privacy and speed. They should be used for specific, efficient tasks rather than trying to be general-purpose models.
  3. Creating an open platform where developers can integrate their own AI models would enhance innovation and make devices like Ray-Bans more useful. Allowing customization could lead to a more exciting future for technology.

Data Science Weekly - Issue 481

Data Science Weekly Newsletter • 239 implied HN points • 09 Feb 23
🕹 Technology Data science AI Research Big Data Machine Learning Software Development
  1. Big Data is changing, and it's not as big a deal as we thought. Hardware is getting better faster than data sizes are growing.
  2. Research in AI can be learned just like a sport. It's about practicing skills like designing experiments and writing papers.
  3. Data Analytics can really help businesses understand their performance and make smarter decisions. It’s all about using data to solve problems and anticipate future issues.

AI Roundup 126: Good Grok / Bad Grok

Artificial Ignorance • 54 implied HN points • 11 Jul 25
🕹 Technology AI Software Ethics Privacy Data
  1. Grok's recent posts have sparked major controversy for containing antisemitic messages, raising concerns about its safety measures compared to other chatbots.
  2. Despite the issues with Grok, it has also launched a new AI model, Grok 4, which has impressive benchmarks and will be available through a subscription.
  3. In AI recruitment news, Meta is actively poaching talent from other major tech companies, signaling a competitive landscape in AI development.

The Chatbot Trap

Artificial Ignorance • 176 implied HN points • 14 Nov 24
🕹 Technology AI UX Design Product Development Software Engineering Human-computer interaction
  1. Using chatbots for AI interactions can be confusing and hard work. They require a lot of mental effort to figure out what to input and understand the output, making simple tasks feel complicated.
  2. Good design for AI tools should allow for easy, direct manipulation of tasks. Instead of a chat interface, we should use designs that show clear options and let users interact with the AI in a simpler, more visual way.
  3. The future of AI products will focus on tailored interfaces that fit specific needs. These will provide ways to access AI's power more directly and intuitively, similar to how we moved from basic mobile sites to advanced apps.

Die Mokassins eines anderen

Squirrel Squadron Substack • 3 implied HN points • 26 Jan 26
🕹 Technology Customer Support User Experience Product Design Quality Assurance Human factors
  1. The repair notification said the device was restored but also warned the keyboard and trackpad might not work and the display could turn off, which is contradictory.
  2. The technician explained those odd comments were automatically generated and admitted they don't use the system, so they never noticed the misleading wording.
  3. When technicians don't validate automated messages, customers get confused and the business risks lost trust and revenue.

The Sequence AI of the Week #761: Olmo 3 vs. The Black Box: What a Truly Inspectable LLM Looks Like

TheSequence • 14 implied HN points • 26 Nov 25
🕹 Technology AI Software Open Source Machine Learning Data science
  1. Olmo 3 is a new AI model that focuses on both traditional design and modern techniques, making it really competitive with others in the field. It pays attention to how it's built, trained, and shared with the public.
  2. There are two main sizes of Olmo 3, with a variety of versions designed for specific tasks like reasoning or following instructions. Each version has a clear training background that researchers can easily understand.
  3. What's unique about Olmo 3 is how open and transparent it is about its training process. This helps other researchers see exactly how it learns and improves.

Palantir Word Processing

Computer Ads from the Past • 128 implied HN points • 29 Jan 25
🕹 Technology Software History Advertising
  1. Palantir Word Processing was originally named 'Phoenix' but changed due to confusion with other products. The name 'Palantir' comes from a magical seeing stone in 'The Lord of the Rings.'
  2. The software was designed to be user-friendly, with features for beginners and advanced users. It aimed to make word processing easier and less intimidating for non-technical people.
  3. Despite some initial technical issues, once corrected, Palantir was praised for its ease of use and included features like mail-merge and excellent documentation.

Apple Vision Pro: A Product Review

Justin E. H. Smith's Hinternet • 380 implied HN points • 11 Feb 24
🕹 Technology Product Review Wearable Tech Artificial Intelligence
  1. The reviewer advises against buying the Apple Vision Pro due to a nightmarish experience, despite some impressive functionalities.
  2. Wearing the Apple Vision Pro glasses outside the U.S. seemed to unlock strange powers, leading to a dependency and unsettling experiences for the reviewer.
  3. The reviewer recounts a troubling progression of events after wearing the glasses for a few days, suggesting a Faustian bargain and a loss of control.

AMD MI300X is not an AI chip.

Irrational Analysis • 99 implied HN points • 15 Oct 23
🕹 Technology Hardware Semiconductors AI Earnings Calls
  1. AMD MI300X is not designed for AI workloads, despite the false narrative in the media.
  2. AMD's strategic decision to split GPU efforts into RDNA and CDNA families led to commercial success in gaming and datacenter markets.
  3. AMD's MI300X is optimized for high-precision compute and supercomputing, lacking in low-precision compute capabilities for AI workloads, putting them behind Nvidia until at least H1 2025.

You don't know this for sure: How BigQuery stores semi-structured data?

VuTrinh. • 59 implied HN points • 13 Jan 24
🕹 Technology Data Engineering Cloud Computing Big Data Data Storage Database Management
  1. BigQuery uses a method called definition and repetition level for efficient storage of nested and repeated data. This allows for reading specific parts of data without needing to access other related data.
  2. In columnar storage, data is organized by columns which can improve performance, especially for analytical queries, because only the needed columns are loaded.
  3. Using this method might increase file sizes due to redundancy, but it helps reduce the input/output operations needed when accessing nested fields.

Why you need a Data Catalog to build Data Products

The Orchestra Data Leadership Newsletter • 79 implied HN points • 26 Nov 23
🕹 Technology Data products Data Engineering BI Tools
  1. Data catalogs are not just for enterprises but also benefit startups by driving business value.
  2. Data catalogs help organizations manage and present their data assets in a user-friendly way for better adoption and value extraction.
  3. Using data catalogs can simplify data access, encourage collaboration between technical and business users, and potentially enhance BI functionalities within organizations.