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The article discusses the growing energy demand of data centers and the associated costs, highlighting the need for improved energy efficiency and renewable energy solutions to power these essential digital infrastructure facilities.

The article presents a practical decision framework for when to use Generative AI (GenAI) tools. It outlines key factors to consider, such as the task at hand, the required level of accuracy, the available resources, and potential risks, to help organizations determine the appropriate use cases for GenAI in their workflows.

The article discusses how data centers operated by PJM, a regional power grid operator, have become a bipartisan issue in Washington. It examines the growing energy demands of these data centers and the calls for increased regulation and investment to address the impact on the power grid.

In the information deluge, LLMs reshape how we curate, write, and publish. This post covers trends, key advantages, and a practical BlackEagleAI loop to curate real articles and sync to Notion.

The article explores the controversy surrounding Seymour Hersh's investigation into the U.S. government's account of the killing of Osama bin Laden, highlighting the challenges faced by journalists in uncovering the truth and the potential political pressures that can influence the dissemination of information.

While building observability dashboards, I wanted to get details of metrics I was using, find out how they were emitted, what units, enums etc. And to find a way go to the right documentation. I got tired looking at 100s of different places - so I built a metric-registry. this registry scans through source code, docs and examples, and identifies metric names and emissions. you can search through 15+ popular sources and 3700+ metrics (1000s more to come). runs every night to refresh. please try out and share feedback on how i can improve it.

This article provides a step-by-step tutorial on creating curved text using the Mockofun online tool. It covers customizing the text, adjusting the curvature, and saving the final design for use in various projects.

Algorithmsbook.com provides a comprehensive resource on algorithms, covering a wide range of topics including sorting, searching, dynamic programming, and more. The website aims to help readers understand fundamental algorithmic concepts and practical applications through clear explanations, pseudocode, and visual illustrations.

This article discusses the development of a chatbot and MCP (Minecraft Pocket Edition) servers, providing technical details and insights into the implementation process. It covers the chatbot's natural language processing capabilities and the setup of the Minecraft servers to enable multiplayer gameplay.

This article provides a guide on how to effectively read and understand academic papers. It outlines a structured approach, including identifying the paper's key contributions, understanding the methodology and results, and critically evaluating the work's strengths and limitations.

Hey HN! We're excited to share Knowbotic, something we built after failing way too many exams despite "studying" for hours. Our problem: We'd spend entire weekends highlighting textbooks and re-reading notes, then bomb the test on Monday. Turns out we weren't actually learning—just moving our eyes across pages and feeling productive. What changed everything: We discovered that testing yourself (active recall) is 8x more effective than passive reading. But creating practice questions manually? Soul-crushingly tedious. So we built Knowbotic. Snap a photo of your textbook page, upload lecture PDFs, or paste any text. The AI reads it and instantly generates practice questions. Then it quizzes you, adapts to what you're struggling with, and uses spaced repetition to cement things in long-term memory. Works on literally any topic: Medical school anatomy, bar exam prep, learning Mandarin, CFA certifications, high school chemistry, random Wikipedia rabbit holes—if you can study it, Knowbotic can quiz you on it. It's completely free for learners. No trials, no paywalls, no "unlock premium features" nonsense. Cool stuff it does:

Generates questions from messy handwritten notes (our handwriting is terrible, still works) Creates personalized study schedules based on your available time Builds study communities where you can share quizzes and challenge friends Tracks exactly which concepts you're weak on instead of wasting time on what you already know

We launched 3 weeks ago and we've already hit 100+ users—all found organically. People are using it for everything from USMLE prep to learning guitar theory, which has been incredibly motivating to see. We've been using it ourselves and actually retained information for the first time in our lives. Now we want to see if it helps others. We'd love your brutal feedback: What would make you actually use this? What's missing? How do you currently study new material without falling asleep? Try it: https://knowbotic.app

The article discusses the potential risks of artificial intelligence (AI) and the need for increased regulation and oversight to ensure its safe and ethical development. It highlights concerns about the potential for AI to cause harm, including job displacement, privacy violations, and the creation of biased or uncontrolled systems.

A fork of Solar System Live that generates animated videos showing planetary orbits over any date range. Tracks orbital statistics (how many times Earth was lapped by Mercury/Venus, or lapped outer planets) and overlays dates/ages on each frame.

Example: Einstein's lifetime (1879-1955) showing 76 years of solar system evolution. Built with Python + Pillow + ffmpeg, runs locally with Lighttpd.

https://github.com/simondorfman/solar_system_live

I run LLM inference on an IBM POWER8 S824 with 576GB RAM – a $700 eBay server from 2014. In December 2025, I built "RAM Coffers" – banking model weights by subject domain with hot caching and resonance routing.

  On January 12, 2026, DeepSeek published "Engram" (arXiv:2601.07372) describing the same core idea: route queries to cached weight banks based on subject 
  matter.                                                                                                                                                  
                                                                                                                                                           
  The concepts are similar because I built it first. YouTube video from December 17, 2025: https://youtu.be/T_o39s7r0iE                                    
                                                                                                                                                           
  Terminal shows "RAM Coffers: ON | L2/L3 Resident: ON" – 26 days before their paper.                                                                      
                                                                                                                                                           
  Core shared concept: Query comes in → classify subject → route to relevant weight bank → hot cache keeps it fast                                         
                                                                                                                                                           
  What I added beyond the core:                                                                                                                            
  • NUMA topology – weights placed on specific memory nodes. Engram doesn't address hardware topology.                                                     
  • Neuromorphic mapping – brain regions to NUMA nodes                                                                                                     
  • Tetranary confidence – 4-state routing logic                                                                                                           
  • Vec_perm collapse – single-cycle attention on POWER8                                                                                                   
  • PowerLISP – LLMs that actually remember                                                                                                                
  • L2/L3 prefetch – 147 t/s vs 17 t/s stock (8.8x)                                                                                                        
                                                                                                                                                           
  DOIs:                                                                                                                                                    
  • RAM Coffers (Dec 16): doi.org/10.6084/m9.figshare.31093429                                                                                             
  • Neuromorphic: doi.org/10.5281/zenodo.18321905                                                                                                          
  • PowerLISP: doi.org/10.5281/zenodo.18322052                                                                                                             
                                                                                                                                                           
  GitHub: github.com/Scottcjn/ram-coffers

The article discusses the ByteFight competition, where teams design and implement custom geometric transformers using a constrained instruction set. The competition aims to push the boundaries of what is possible with limited computational resources, fostering innovation and problem-solving skills.

The article discusses the latest USDA dietary guidelines, which have faced criticism for failing to significantly address the environmental impact of food choices and for not recommending a plant-based diet as the healthiest option. The article argues that the guidelines fall short in providing guidance toward more sustainable and environmentally-friendly eating habits.

The Panchatantra is an ancient collection of fables and folktales from India that have remained popular and influential for centuries. These timeless stories, featuring animals as the main characters, impart moral lessons and practical wisdom that have resonated across cultures and generations.

The German government has ordered Lexus to remotely disable the car heating function on specific models in the middle of winter, citing energy conservation efforts amid the ongoing energy crisis in Europe.

The article explores the historical and cultural significance of handmade rugs, particularly those from war-torn regions. It examines how these rugs serve as a medium for storytelling, preserving the traditions and experiences of local communities in the face of conflict.

I’m working on a startup with multiple founders and we’re trying to make an early decision about governance.

Equity is split in a straightforward way, but one founder is worried about losing control over long-term technical direction and product vision. This raises the question of whether voting power must mirror equity, or whether it’s reasonable to structure different voting rights among founders, even if equity is split differently.

I’m not talking about public-company dual-class shares or IPO-style control. This is purely an early-stage, private startup question.

Some specific things I’m trying to understand: * Does YC generally expect voting power = equity split, or is flexibility acceptable? * Are founder-level voting asymmetries (outside of board control) frowned upon? * Have you seen YC companies where one founder had outsized voting control to protect vision or technical IP? * If the real concern is protecting technical direction or preventing derailment, are voting rights the wrong tool, and are board structure / founder agreements the better path? * At what stage does YC think about voting control at all?

The goal here is not entrenchment, but avoiding future founder conflict while keeping the company fundable and aligned with YC norms.

Would appreciate perspectives from people who’ve been through YC, raised VC, or seen this go wrong (or right).

The article discusses six fundamental engineering principles: simplicity, modularity, abstraction, automation, testing, and iteration. These principles are essential for developing reliable and maintainable software systems.

Former Bank of Canada and Bank of England governor Mark Carney calls for a new global 'social contract' to address the challenges of climate change, inequality, and the breakdown of the rules-based international order, urging for a rethinking of capitalism to better serve the public good.

This article argues that DevOps did not fail, but rather the industry has finally provided the necessary tools and technologies to fully realize the benefits of DevOps. It explores the evolution of DevOps practices and the emergence of new supporting technologies that enable more effective DevOps implementation.

The article discusses the libbbf library, which is a C library that provides a simple and efficient way to read and write binary data. The library is designed to be easy to use and integrate into other projects, and it supports a variety of data types and file formats.