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Google launched a new experimental app called Doppl on Thursday in the US for iOS and Android platforms, aiming to let users see how different clothes look on them through artificial intelligence technology. The app uses AI to generate virtual images of users wearing clothes, even converting static images into dynamic videos, providing an immersive try-on experience. The core feature of Doppl allows users to upload full-body photos, then import photos or screenshots of clothing to try them on their digital version.

Recently, Google officially launched an AI fitting room app called Doppl, aimed at providing users with a new virtual try-on experience. With this app, users can simply upload a full-body photo and then choose their favorite clothes to try on. Whether these clothes come from thrift stores, friends' outfits, or images on social media, they can be easily achieved. The operation process of Doppl is very simple. Users first need to upload their full-body photos to the app. Then, they can upload photos or screenshots of other clothes to...

Recently, OpenAI announced that it will refactor its Codex CLI tool, completely abandoning TypeScript in favor of the Rust language. This decision aims to provide developers with a more efficient and stable AI terminal interaction experience. Codex CLI was originally designed to simplify developers' interaction with AI in the terminal, using TypeScript and the React-based Ink framework. However, as Codex CLI continues to develop,

The iOS app of ChatGPT had 29.6 million downloads in the past 28 days, becoming the most popular app globally. This achievement made ChatGPT's download count exceed the combined total of four social apps - TikTok, Facebook, Instagram, and X - which had approximately 32.9 million downloads during the same period, creating a difference of 10.6%. Although social apps have been on the market longer, ChatGPT achieved this in a short period of time.

This morning, Microsoft officially announced its latest innovative small-parameter model, Mu. This model has only 330 million parameters, yet it can match the performance of Microsoft's previously released Phi-3.5-mini, while being just one-tenth the size of Phi-3.5-mini. More notably, Mu can achieve a response speed of over 100 tokens per second on offline NPU laptops, which is a rare breakthrough in the field of small-parameter models. A major highlight of the Mu model is its support for setting intelligent features in Windows.

On June 19th, the Tongyi APP has comprehensively upgraded its translation capabilities, covering four core scenarios: text translation, simultaneous interpretation translation, document translation, and image translation, creating the strongest translation complex for individual and professional users. After the upgrade, the translation capabilities support 119 languages and dialects, achieving comprehensive improvements in accuracy, professionalism, and interaction experience. Whether it's cross-border office work, academic reading, or travel, the Tongyi APP can provide a truly all-scenario and all-modal translation solution. The Tongyi APP now supports 119 languages and dialects.

Today, the Quark App officially launched its newly upgraded learning product - 'Quark Teacher'. The debut of this AI tutor has brought new vitality to the learning sector. 'Quark Teacher' is a powerful tool that combines several capabilities such as explaining problems, grading homework, creating questions, and finding test papers, making it a valuable study assistant for students. It relies on the Quark Lingzhi Learning Large Model and is based on Qwen, demonstrating strong reasoning and explanation capabilities when answering difficult math and physics questions. Previously, in evaluations organized by multiple media outlets for the college entrance examination math questions, Quark performed remarkably well.

A deep dive into the features and effects of Flux Context, an AI image enhancement tool, including core features like photo cartoonization, watermark removal, and old photo restoration, to analyze whether it can truly enhance the efficiency and quality of image processing.

Recently, with the announcement of the college entrance exam results approaching, candidates and their parents have entered a critical period for volunteer filing. In order to help candidates plan their volunteers scientifically and reasonably, Quark APP officially released the first college entrance exam volunteer large model on June 12, 2025, and launched a completely new professional college entrance exam knowledge base, aiming to provide candidates with more professional and accurate college entrance exam volunteer services.

Apple has released the latest update to its artificial intelligence model, which primarily supports the Apple Intelligence feature for systems like iOS and macOS. According to Apple's official data, the newly launched model performs comparably with similar products from Google and Alibaba, but compared to OpenAI's GPT-4o released a year ago, Apple's server-side model performance is notably weaker. In the update, Apple emphasized the capabilities of its 'device-side model'.

Today, BeanBag App has made a significant upgrade in the field of intelligent photo editing. Its one-sentence photo editing function has been fully optimized based on the latest image editing model, SeedEdit 3.0, bringing more diverse photo editing experiences to users. After this upgrade, BeanBag App supports various photo editing operations, greatly meeting different photo editing needs of users. Users can easily add or replace text with just one click, adding unique text elements to photos to make youthful memories图文并茂and more memorable.

In the rapidly developing field of artificial intelligence today, Alibaba officially open-sourced its new Qwen3 Embedding model series on June 6th. Based on the Qwen3 foundation model, this model is optimized for tasks such as text representation, retrieval, and ranking, marking another significant breakthrough for Alibaba in the AI field. Compared to the previous version, Qwen3 Embedding has achieved over a 40% performance improvement in core tasks such as text retrieval, clustering, and classification. This progress not only makes it more competitive