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The article announces the release of WinApp, a new Windows App Development CLI that simplifies the development and deployment of Windows applications. WinApp provides a streamlined command-line interface for building, packaging, and publishing Windows apps, making the app development process more efficient for developers.

I'm a web dev contractor who stumbled onto GPU-native probabilistic programming while working on an unrelated hobby project.

By "GPU-native" I mean the entire inference algorithm runs inside GPU kernels with no CPU coordination - no Python overhead, no kernel launch latency between steps.

I benchmarked against NumPyro, JAX, and GPyTorch on 15 different inference algorithms. I don't have a statistics background, but I tried my best to track the quality metrics that experts care about.

My R-hat values are 0.9999-1.0003 (should be ~1.0), and ESS/second is up to 600x better on HMC. Some quality metrics favor the baseline implementations - I'm not claiming this beats everything on every dimension, just that it's significantly faster with comparable quality.

Tested on an RTX 4060 Laptop GPU. Full benchmark results: https://github.com/Aeowulf/nativeppl-results

Not sharing implementation details yet as I'm still figuring out what to make of this discovery. But I'd appreciate feedback on:

- Are these benchmarks meaningful/fair?

- What other algorithms or problem sizes should I test?

- Is there a market for faster probabilistic inference?

Hey HN, Inspired by Reddit devs sharing pains like garbage code (up to 42% time waste – Stripe data) and poor docs silos (62% lose 30+ mins daily – DX), I built DebtClear. It scans your GitHub repo, visualizes hotspots with a heatmap, calculates ROI ("$Xk lost/quarter, Y weeks saved"), and generates shareable reports for exec buy-in. 30-sec demo: https://youtu.be/sxwzDOmgY-A?si=MwYIbjChF3WA8n1t Landing: https://cosmic-ai.pages.dev/ Free beta report for first 100 teams; $299 pilot option. Feedback? What's your worst debt story?

The article explores the use of machine learning techniques to enhance the performance of a robotic system in navigating through complex environments. It presents a novel approach that combines deep reinforcement learning with simultaneous localization and mapping (SLAM) algorithms to enable the robot to efficiently navigate while adapting to dynamic changes in its surroundings.

The article explores the potential impact of AI on the coding industry, arguing that AI tools can enhance productivity and creativity rather than replace human programmers. It presents a balanced perspective, acknowledging both the opportunities and challenges posed by the AI revolution in coding.

The article describes a tool that converts text-based articles into engaging video content by leveraging AI-powered text-to-speech and video generation technologies. The tool aims to help content creators and publishers efficiently transform written content into visually appealing videos for distribution across various platforms.

The article discusses how the author's interactions with large language models (LLMs) have improved their thinking process. It explores how engaging with LLMs has helped the author develop new perspectives, challenge their assumptions, and refine their communication skills.

The article discusses the history and decline of XML, once a widely-used data exchange format, and explores the reasons behind its diminishing popularity in the face of newer technologies like JSON.

The article discusses the ongoing teacher shortage crisis in the United States, highlighting factors contributing to the problem such as low pay, stressful working conditions, and a lack of support for teachers. It examines the impact of the shortage on students and schools, and explores potential solutions, including increased funding, teacher recruitment and retention efforts, and improved work environments.

A global outage affected Microsoft 365 services, including Outlook, impacting users worldwide. The company is investigating the root cause of the disruption and working to restore full functionality.

This article explores a technique for remotely unlocking an encrypted hard disk by leveraging a local proxy and a remote server. The author demonstrates how to set up this system and discusses the potential security implications and considerations around implementing such a solution.

Glean is an open-source, lightweight data collection and analysis tool that enables developers to gain insights from their applications without compromising user privacy. It provides a flexible and customizable framework for gathering data, processing it, and generating visualizations to help understand application usage and performance.

Intel reports strong financial results for Q4 2025, with revenue and earnings exceeding expectations. The company attributes its success to the continued demand for its latest semiconductor products and advancements in its manufacturing processes.

This paper introduces a novel deep learning model for image segmentation that achieves state-of-the-art performance on several benchmark datasets. The model combines a convolutional neural network with a transformer-based architecture to effectively capture both local and global image features.

The article explores the self-portrait capabilities of ChatGPT, a large language model. It delves into how the AI system perceives and describes itself, highlighting its unique perspective on its own nature, capabilities, and limitations.

The article discusses best practices for using PostgreSQL with AI agents, highlighting the importance of data modeling, indexing, and query optimization to ensure efficient and scalable performance when working with large datasets and complex queries.

TikTok's parent company, ByteDance, has established a new joint venture with the US government called 'TikTok US Data Security' to address security concerns and ensure the platform's data is stored and accessed securely within the United States.

The article explores Thomas Edison's role in the rise of Hollywood, highlighting how his invention of the kinetoscope and early experiments with motion pictures inadvertently laid the foundation for the film industry's development, despite his lack of direct involvement in its subsequent growth.

The article explores the emergence of an underground resistance movement against the growing influence of artificial intelligence, centered around a mysterious 'poison fountain' that disrupts AI systems. It highlights the tensions between technological progress and concerns over AI's potential impact on society.

CScript is an embeddable scripting language that provides a simple and lightweight scripting solution for C/C++ applications. It offers a powerful and flexible scripting environment that can be easily integrated into larger software projects.

The article discusses a method for training an AI agent to perform command-line tasks using synthetic data and reinforcement learning. The agent is trained on a variety of simulated tasks, allowing it to learn and adapt to different types of command-line inputs and outputs.