This $249 AI console has the best elements of the Kinect. Just be prepared for ongoing subscription fees. It's the year 2026 and the hottest game in my living room is . No, I'm not in the midst of an ill-advised retro mobile gaming kick. Instead, my family and I have been jumping around and slicing flying fruit in our living room using the Nex Playground .

We thank reviewers for their constructive feedback and clarified the paper based on their comments. Descriptive feedback can have real-world applications. We will mention this applied work in the discussion. Why do we need the Playground environment? How to scale Playground to more goals?

Recent research has demonstrated the effectiveness of Artificial Intelligence (AI), and more specifically, Large Language Models (LLMs), in supporting network configuration synthesis and automating network diagnosis tasks, among others. In this preliminary work, we restrict our focus to the application of AI agents to network troubleshooting and elaborate on the need for a standardized, reproducible, and open benchmarking platform, where to build and evaluate AI agents with low operational effort.

This enterprise proved so amusing that the pair, in collaboration with composer Dave Soldier, repeated the experiment with popular music, releasing the "most wanted" and "least wanted" songs together on a CD with a cover photo of all three men wearing white lab coats and pointing at a calculator. Sadly, the pair stopped short of what I view as the greatest challenge: producing novels that reflect what Americans like and dislike in fiction. Now, at last, with People's Choice Literature, by the writer/artist/composer Tom Comitta, a new "scientist" has taken up the task. People's Choice Literature offers its readers two novels for the price of one. The first is a thriller whose heroine tries to prevent her boss, a new age–y tech mogul, from launching a quantum computing network that will bring about a total surveillance state.

With over 650 million registered players, Fortnite is without a doubt one of the most popular video games in the world. Now, experts have warned that some children are spending so much time playing the game that they're developing'Fortnite accents'. The Fortnite accent is typically high-pitched and fast-faced, according to the experts at Preply. It also often features an upward inflection at the end of each sentence, almost as if everything is being said in the tone of a question. 'Because of the game's young player base, it mimics the sound of an overly excited or frustrated child's voice,' Preply explained.

Apple typically pushes out major iOS upgrades every September, alongside new iPhones--you may recall the launch of iOS 18. Those big software upgrades are followed by'point' releases that squash outstanding bugs, improve security and stability, and occasionally introduce new features. That's the case with iOS 18.4, which brings more with it than most minor iOS updates. From extra tools in Image Playground, to ambient music to relax you or send you off to sleep, here's what's new in the iOS 18 update. Apple Intelligence can now prioritize iPhone notifications, selecting which you need to see first and create AI-written summaries.

The widespread accessibility of large language models (LLMs) to the general public has significantly amplified the dissemination of machine-generated texts (MGTs). Advancements in prompt manipulation have exacerbated the difficulty in discerning the origin of a text (human-authored vs machinegenerated). This raises concerns regarding the potential misuse of MGTs, particularly within educational and academic domains. In this paper, we present $\textbf{LLM-DetectAIve}$ -- a system designed for fine-grained MGT detection. It is able to classify texts into four categories: human-written, machine-generated, machine-written machine-humanized, and human-written machine-polished. Contrary to previous MGT detectors that perform binary classification, introducing two additional categories in LLM-DetectiAIve offers insights into the varying degrees of LLM intervention during the text creation. This might be useful in some domains like education, where any LLM intervention is usually prohibited. Experiments show that LLM-DetectAIve can effectively identify the authorship of textual content, proving its usefulness in enhancing integrity in education, academia, and other domains. LLM-DetectAIve is publicly accessible at https://huggingface.co/spaces/raj-tomar001/MGT-New. The video describing our system is available at https://youtu.be/E8eT_bE7k8c.