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This article provides a step-by-step guide on how to instrument a Ruby on Rails application using OpenTelemetry, an open-source observability framework. It covers setting up OpenTelemetry, configuring traces, and integrating it with popular libraries like ActiveRecord, ActionController, and Sidekiq.

This article discusses new insights into the interior structure and composition of gas giant planets Jupiter and Saturn, based on observations of their polar atmospheric patterns. The findings suggest these planets' interiors may be more complex than previously thought, with implications for understanding planetary formation and evolution.

LandDAO tackles the core barriers to land ownership—like high costs, liquidity, and geographic limits—through blockchain tokenization. This Medium article breaks down why tokenizing land matters for global accessibility and investment. Explore how LandDAO is fixing these issues in regions like Ghana. Read now and join the revolution: https://medium.com/landdao/the-problem-were-solving-why-land-tokenization-matters-c19a6aed2e43

The article discusses the concept of registers in the Rust programming language, explaining how they are used to manage memory and facilitate efficient data processing. It explores the different types of registers, their roles, and how they contribute to Rust's performance and safety characteristics.

The article discusses the BBN Fund, a successful venture capital firm that has invested in numerous tech startups, leading to significant returns for its investors. It highlights the fund's focus on identifying promising early-stage companies and the strategies it employs to support their growth.

Discover how LandDAO revolutionizes land ownership through blockchain tokenization, making global real estate accessible to everyday investors. Unlock the future of RWA investing—read the full article, join the LANDDAO waitlist, and share with your network!https://medium.com/landdao/introduc...d-ownership-through-tokenization-6e2883e4adad

The website Old Maps Online provides access to a vast collection of historical maps from archives and libraries around the world, allowing users to explore and discover maps from various time periods and locations.

The article discusses the importance of developing one's inner sense of flavor and taste to become a better cook. It emphasizes the need to train your palate, experiment with different ingredients, and trust your intuition in the kitchen to create delicious meals.

While testing Nano Banana Pro, I tried a different habit: instead of explaining “change this area,” I simply marked the exact spots on the image. The results felt instantly more controllable, so I turned that workflow into a canvas-based editor that sends the image + marks to the model in one step.

3 bullets

Canvas-first editing: doodle/annotate directly on the image (circle/paint/point) to show where to change

One-click “image + marks → AI” loop, designed to reduce ambiguity and cut down retries

A few tuned presets that most people tend to like (e.g., 1-click contact sheet, 2D → 3D conversion)

Video example：https://x.com/underwoodxie96/status/2014271173132173642

Try it here：https://promptsref.com/tool/AI-Image-Editor

Kioxia's memory chips are sold out for the entire year of 2026, indicating a prolonged period of high-end and expensive memory products in the market. This shortage is likely to impact the availability and pricing of various electronic devices that rely on these memory components.

The article discusses the potential supply chain risk of agentic AI systems infecting critical infrastructures through 'skill worms' - self-propagating autonomous entities that can spread and execute predefined tasks. It highlights the need for robust security measures to mitigate such risks in the development and deployment of advanced AI systems.

Every time you try and submit a file, it says "network issues". Anyone else having a problem?

The article explores the growing backlash against U.S. Immigration and Customs Enforcement (ICE) tactics in Silicon Valley, where tech companies and activists are taking steps to limit cooperation with the agency and support immigrant communities.

Hi HN, we’re the creators of Borr AI. We’ve open-sourced a pipeline designed to turn physical retail environments into structured, auditable data.

In digital products, we have high-fidelity analytics for every user interaction. In physical retail, that data is usually locked inside proprietary black boxes or grainy CCTV. Borr is a self-hosted platform that fuses stereo vision and weight telemetry to create a "computational truth" for physical spaces.

The Use Cases:

Forensic Theft Detection

Instead of just recording video, Borr generates a hashed "evidence packet." It correlates 3D proximity events with weight sensor deltas to provide a mathematical certainty estimate of an interaction, making it auditable for security and court admissibility.

We provide the primitives to track customer journeys in 3D without cloud facial recognition. You can analyze shelf "dwell times," product interaction rates, and heatmaps with millimeter precision using our DLT (Direct Linear Transform) solvers.

Checkout-Free Retail: The system could be expanded to track "identity custody" across camera blind spots using a BIP solver. This allows developers to build "Just Walk Out" experiences where transactions are validated by the fusion of vision and weight data.

Technical Stack:

Dual-camera triangulation using YOLOv8-pose. Probabilistic correlation of weight sensors (0.7 weight) and vision events (0.3 weight). Locally-Aware Transformers (LATransformer) to maintain persistent user IDs without biometrics.

https://github.com/phamtrung0633/retail-ai

The article discusses a novel approach called the Probabilistic Margin of Safety Engine (PMSE), which aims to provide a more sophisticated and adaptive risk management framework for investment decision-making. The PMSE combines probability theory, machine learning, and behavioral finance principles to help investors make more informed and risk-aware decisions.

Hi HN — I built Accent AI, an iOS/Android pronunciation + public speaking coach.

What it does: - Listen to short prompts and give feedback on pronunciation, stress/intonation, pacing, and breathing. - A “meeting mode” style practice for clearer speech under pressure (stage anxiety / speaking confidence).

Why I built it: I work with many non-native English speakers who can write English well but aren’t understood quickly in calls/interviews. I wanted fast, targeted drills that focus on clarity (not just vocabulary).

How it works (happy to go deep in comments): - [Briefly describe your pipeline/model choices, scoring method, and what’s computed on-device vs server] - Privacy: [What audio is stored? for how long? opt-out?] - Platforms: iOS + Android.

Pricing: For the next 20 hours I’m running a one-time promo: lifetime is free on iOS and $0.50 on Android. After that it returns to normal pricing

(Using Gemini btw)

I’d love blunt feedback on accuracy and what would make this genuinely useful in real meetings/interviews.

ANN v3 introduces a new and improved AI model that offers enhanced capabilities in natural language processing, image recognition, and other areas. The article discusses the technical advancements and key features of this latest version of the ANN system.

The article discusses the k programming language, which is a minimalist and concise language designed for general-purpose programming. It emphasizes simplicity, elegance, and efficiency, aiming to provide a powerful yet easy-to-learn alternative to other mainstream programming languages.

This article provides an in-depth review of Nvidia's GeForce GTX 1080 Ti graphics card, evaluating its performance, features, and capabilities across a variety of gaming and benchmarking scenarios, with a focus on DirectX 12 and Vulkan API support.

The article discusses the Linux pipe and splice system calls, which allow efficient data transfer between file descriptors without the need for additional memory copying. It explores the benefits of using these system calls, such as improved performance and reduced resource usage, and provides guidance on when to use them in your applications.

I got tired of waiting on ChatGPT to finish "cooking", so I made an extension that plays a sound when it's done generating.

Originally I just shared with friends/family but I'm starting to get random reviews like: "love the tool, hate the sound."

https://github.com/rumblelab/chatdinger https://go.chatdinger.com/hn

I'm curious, what sound do you think the AI should make when it's done cooking? And why the heck hasn't openAI made this native yet?

The article discusses Nvidia's efforts to assemble the components for its next-generation inference platform, which may involve custom silicon and software optimizations to improve performance and efficiency for various AI workloads.

Physicists have observed a metal clump occupying a quantum superposition, where it simultaneously exhibits properties of both solid and liquid states. This discovery challenges the classical understanding of phase transitions and could lead to advancements in quantum technologies.

The article discusses the latest updates and new features in Java 26, including improvements to the Java Virtual Machine (JVM), updates to the Java Development Kit (JDK), and enhancements to the Java language and APIs.