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This article examines the current state of AI technology, discussing its limitations, the risks of overhyping its capabilities, and the importance of realistic expectations and responsible development. The author emphasizes the need for a balanced and nuanced understanding of AI's potential and challenges.

The article explores Nvidia's 10-year effort to maintain the Shield TV as the most updated Android device, with a focus on the continuous software support and feature updates that have kept the device competitive over the years despite its age.

The article discusses the concept of 'manual programming,' which involves writing code directly into a computer's memory without the use of a compiler or other programming tools. It explores the potential advantages and challenges of this unconventional approach to software development.

The article discusses the rise in energy rates for businesses, exploring the factors driving these increases and the impact on companies' operations and profitability. It provides insights into strategies businesses can adopt to mitigate the effects of rising energy costs.

The article discusses the rapid rise of Discord, a popular communication platform, and speculates about its potential decline in the future. It examines the reasons for Discord's success, the challenges it faces, and the possibility of it being replaced by newer, more innovative platforms.

The article discusses a growing view in physics that time may not be a fundamental part of reality, but rather an emergent property. It explores the implications of this idea, which challenges the traditional understanding of time and space in physics.

This article describes the development of a web client application for Moltbook, a platform that allows users to create and share interactive, animated books. The application is built using modern web technologies and is designed to provide a seamless and engaging user experience.

The article presents an open-source framework called Botmaker, which allows users to create and manage bots for various platforms, including Slack, Discord, and Telegram. The framework provides a unified API and development environment, simplifying the process of building and deploying bots.

This article explores the 'SCX Horoscope', a new astrology-based prediction system that combines elements of Chinese and Western astrology. It provides an overview of the system's key features and how it differs from traditional horoscopes.

I’ve been experimenting with whether synthetic data can encode failure as a dynamical outcome rather than as a labeling rule.

The idea is to model a latent state vector () evolving under coupled stochastic dynamics,

dx = f(x) dt + σ(x) dW,

and emit observable variables downstream of these states. Regimes like failure, burnout, or collapse emerge from the dynamics themselves, not from thresholds applied to labels.

Across all datasets: – Latent states are integrated with RK4 for stability over long horizons – Positive feedback loops drive acceleration near failure – Regime transitions use hazard-based dynamics – After critical stress, system parameters change, enforcing hysteresis / irreversibility

I generated three open longitudinal datasets on Kaggle using this approach:

– Industrial pump failure (379k rows, 150 machines) – Human performance & burnout (975k rows, 140 agents) – Ecological stress & collapse (1.2M rows, 100 ecosystems)

I’d appreciate technical feedback on whether these dynamics look realistic or useful for modeling failure processes.

Links: * Pump dataset: https://www.kaggle.com/datasets/83dc6870bf12bc6181c0512fd95daf267100a2c637f8dfae05f8f37dc5db0371 * Human dataset: https://www.kaggle.com/datasets/1968d96cd9182959c0154a67c9ad6baf570e1221411f51c952ca12cf3bdc9f6d * Ecology dataset: https://www.kaggle.com/datasets/b40efa3b9b2026d769025e7055743872f94155ea99d49128beb65fe4b061e102

ClawdBot is a powerful AI chatbot that offers a wide range of features, including natural language processing, task automation, and integration with various online services. The article highlights the bot's capabilities and its potential applications in various industries.

The article explores patterns of disempowerment, examining how systems and institutions can deprive individuals and communities of power and agency. It discusses various mechanisms, such as control, marginalization, and exploitation, that contribute to the disempowerment of vulnerable groups.

The article discusses the Hispanos of New Mexico, a community of Spanish-speaking residents whose ancestry dates back to the 16th century Spanish colonization of the region. It explores the historical, cultural, and linguistic aspects that distinguish the Hispanos from other Hispanic groups in the United States.

Hi HN: IF MUSIC WAS TYPED AS CODES THEN HOW WILL IT LOOK?

I AM TANMAY CZAX THE CREATOR OF AETHRA AND ALSO CYBER+ PROGRAMMING LANGUAGE. I AM IN MUSIC SINCE 12 YEARS AND CODING SINCE 10 YEARS

WELL,INTRODUCING AETHRA A NEW, OPEN SOURCE DSL FOR MUSIC. THE LANGUAGE IS FAST AND IS FULLY C# BASED. AETHRA IS AT 0.8 VERSION AND VERSION 1.0 WILL COME SOON! IT IS EASY FOR NOT ONLY PEOPLE WHO KNOW MUSIC THEORY BUT ALSO FOR THOSE WHO LIKE MUSIC.

VISIT THE REPO FOR MORE INFORMATION <https://github.com/TanmayCzax/aethra>

# CREATE MUSIC IN A WAY YOU NEVER EXPERIENCED SIGNING OFF TANMAY

NASA's analysis shows that the La Niña climate pattern limited global sea level rise in 2020 and is expected to do so again in 2025, highlighting the impact of natural climate variability on long-term sea level trends.

The article discusses the potential impact of artificial intelligence (AI) on the job market, highlighting concerns about AI-driven displacement of workers. It explores the concept of universal basic income (UBI) as a possible solution to address the economic and social challenges posed by AI-driven automation.

I built Flexboxle, a daily puzzle game where you use Flexbox to rearrange blocks to match a target goal state.

How it works:

* Your goal is to arrange a set of blocks into a specific pattern using Tailwind CSS Flexbox classes (and <divs>) * After every submission, every block is graded as perfect (green), close (yellow), or wrong (gray) * You have 6 attempts per puzzle * The game checks block positions, not your specific CSS so there can be multiple solutions that work * There is a new puzzle every day so come back tomorrow for a new challenge

The trickiest part of building this game was making it playable on mobile. Highlighting sections, navigating in an editor, and adding in common HTML characters like <, >, /, and = are easy on desktop but pretty annoying to do on mobile. I eventually settled on a quick add panel with all of the controls you need so you can easily apply classes, group elements together in a div, and see all of the supported classes.

Let me know if you have any feedback! Enjoy!

The article discusses how the author accidentally became a maintainer of an open-source software (FOSS) project, which led them to gain a new perspective on librarianship. It explores the challenges and responsibilities involved in maintaining an open-source project, and how this experience has influenced the author's approach to their work as a librarian.

For you would have noticed that a lot of news media houses have paywalled articles, especially in The New York Times, WSJ, or The Information. Actively bar websites like 12 feet from accessing their data. 12 feet is still a hit or miss. However, if I ask ChatGPT to explain in detail or summarise an article from a certain website, it tends to do that almost always without any errors. Isn't this a loophole? Is there an AI that can just take in articles from all of these sources, run them through an AI, and then post them out for everyone to read?

Article on All Things Open - Software is now medicine itself—and proprietary code is putting profits before patients.

The article explores the 'AI context paradox', where AI systems trained on historical data can perpetuate and amplify societal biases. It discusses the challenge of building AI systems that are 'future-proof' and can adapt to changing contexts, while also maintaining a reproducible and verifiable legacy.

CERN's Large Hadron Collider generates a significant amount of waste heat, which the organization is exploring ways to utilize. The article discusses the potential to harness this heat to warm homes and buildings in the local area, contributing to more sustainable energy usage.

Most open-source LLM deployments assume one model per GPU. That works if traffic is steady. In practice, many workloads are long-tail or intermittent, which means GPUs sit idle most of the time.

We experimented with a different approach.

Instead of pinning one model to one GPU, we: •Stage model weights on fast local disk •Load models into GPU memory only when requested •Keep a small working set resident •Evict inactive models aggressively •Route everything through a single OpenAI-compatible endpoint

In our recent test setup (2×A6000, 48GB each), we made ~60 Hugging Face text models available for activation. Only a few are resident in VRAM at any given time; the rest are restored when needed.

Cold starts still exist. Larger models take seconds to restore. But by avoiding warm pools and dedicated GPUs per model, overall utilization improves significantly for light workloads.

Short demo here:https://m.youtube.com/watch?v=IL7mBoRLHZk

Live demo to play with: https://inferx.net:8443/demo/

If anyone here is running multi-model inference and wants to benchmark this approach with their own models, I’m happy to provide temporary access for testing.