Author: alejandro

At the 2025 Yunqi Cloud Conference in Hangzhou, Alibaba’s Tmall Genie Future Hotel 4.0 officially debuted, introducing three cutting-edge AI-driven solutions and announcing the launch of the Future Hotel AI Agent Alliance. Together, they mark a decisive leap from isolated “smart gadgets” toward fully integrated AI-powered hospitality ecosystems. Breaking Industry Stagnation: Why Hotels Need AI Now According to the 2025 China Hotel Development Report, the chain penetration rate in China’s hotel industry fell back to 40.09% by the end of 2024. Growth has shifted from scale to quality. Rising labor costs, outdated service models, and increasingly fragmented consumer demands—especially from…

FullReader eBook Reader is a robust, multifunctional reading app designed for Android devices, offering an unparalleled experience for book lovers. Whether you want to read PDF, DjVu, magazines, comics, or listen to audiobooks, FullReader seamlessly handles it all on both smartphones and tablets. Supported Formats:fb2, ePub, txt, PDF, doc, docx, cbr, cbz, rtf, DjVu, DjV, html, htm, mobi, xps, oxps, odt, rar, zip, 7z, MP3 User-Friendly Interface:FullReader provides a clean and intuitive interface with easy navigation and conveniently arranged tools. You can choose between a classic light theme or a sleek dark theme, and customize your book covers display in…

When it comes to desktop customization, Linux has always stood out for its freedom and extensibility, letting developers craft truly geeky, highly personalized setups. Windows, on the other hand, often feels plain in comparison. Even with the improvements in Windows 11, the experience can still feel limited. Customizing it usually requires juggling multiple tools, tinkering with Rainmeter themes for hours, or simply swapping wallpapers and icons. That’s why discovering Seelen UI, an open-source Windows desktop customization tool on GitHub, was a breath of fresh air. At first, I thought it was just another theme pack—but after installing it, I realized…

For decades, robotics has been stuck in the same loop: robots could only copy human demonstrations. This approach, known as behavior cloning, required vast amounts of labeled data where machines essentially mimicked recorded human actions. The problem? These datasets are expensive to collect, and once the robot encounters something even slightly different, it breaks down. Now, Google DeepMind is rewriting the rulebook. Drawing inspiration from the way large language models (LLMs) are fine-tuned, DeepMind researchers propose a two-stage “post-training” framework that allows robots not just to imitate, but to learn, adapt, and grow. The results, tested on both simulated and…

Almost without warning, Elon Musk just swung a hammer at AI costs—slashing inference expenses by a staggering 98%. Last Friday, xAI quietly rolled out Grok 4 Fast, a streamlined version of its flagship model designed for low-cost inference. The update uses large-scale reinforcement learning to maximize “intelligence density,” delivering benchmark results on par with Grok 4 while cutting average token usage by 40%. According to xAI, a single inference task with Grok 4 Fast can now run at just 2% of the original cost. That’s not just a discount—it’s a potential rewrite of the large language model (LLM) competition playbook.…

Apple isn’t making a chatbot… or are they? Apple’s approach to AI seems different from what most of us expect. Rather than a standalone conversational assistant like ChatGPT or Claude, Apple’s AI is more of a toolbox: a collection of practical features integrated into its operating system, along with some creative AI tools. Accuracy is decent, usefulness is situational, and overall impact has been modest. But because these tools are baked into iOS, they quietly serve their purpose without fanfare. Meanwhile, the AI that most users rely on today—ChatGPT, Google Gemini, Claude—are chatbots. Surprisingly, Apple has internally dismissed the idea,…

Easy Share Premium is the ultimate Android file-sharing app, designed to make transferring files between devices effortless and lightning-fast. Whether it’s photos, videos, music, apps, or large documents, you can share everything without worrying about file size limits. Say goodbye to slow transfers and data charges – Wi-Fi P2P lets you share files at speeds up to 20MB/s, completely offline. Key Features: Seamless File Sharing: Instantly share photos, videos, music, apps, or any other files between Android devices. You can even select entire folders to transfer. PC-to-Phone Transfers: Transfer files between your PC and Android device using the HTTP protocol…

Shenzhen-based Atomic Rebuild has secured a new Series A funding round from Junke Danmu and Cornerstone Capital, marking its second financing in just six months. The fresh capital will be used to accelerate product R&D and expand into global markets. Founded in January 2025, Atomic Rebuild is a newcomer to the consumer 3D printing scene, but its team is stacked with robotics engineers and 3D printing veterans. More than 60% of its workforce are R&D engineers, bringing deep expertise in both product design and scalable manufacturing. World’s First 12-Nozzle, 36-Color Consumer 3D Printer Atomic Rebuild is preparing to launch its…

September 29, 2025 — F-Droid, the long-running open-source app repository, has issued a stark warning: Google’s new developer registration rules could threaten the very survival of independent Android app stores. For Android power users, F-Droid is a familiar name. Unlike the Google Play Store, F-Droid only hosts free and open-source apps. Every app is stripped of trackers, ads, and hidden data collection tools before publication, making it a trusted hub for privacy-focused users. The platform has been running for 15 years, though its scale is far smaller—about 3,000 apps compared to millions on Google Play. Google’s New Developer Verification Rules…

One of the biggest challenges in robotics research has always been helping AI truly understand the 3D world. Most Visual-Language-Action (VLA) models are built on pre-trained vision-language models (VLMs), which only learn from 2D image–text data. That means they lack the depth perception and spatial reasoning needed for real-world tasks. Until now, many attempts to fix this problem have relied on explicit depth inputs or additional sensors. While effective, those methods are noisy, expensive, and hard to deploy at scale. The Breakthrough: Evo-0 Researchers from Shanghai Jiao Tong University and the University of Cambridge introduced Evo-0, a lightweight method that…