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Welcome to the AIbase [AI Daily Report] section! Spend three minutes a day to learn about the latest AI events, helping you understand AI industry trends and innovative AI product applications. For more AI news, visit: https://www.aibase.com/zh1. Baidu officially releases the WENXIN Large Model 4.5 series and fully opens it to the public, featuring ten new models with various parameter configurations. These models are trained and inferred using the PaddlePaddle framework, achieving a FLOPs utilization rate of 47%, and perform well in multi-modal text tasks.

Recently, news about OpenAI's upcoming release of GPT-5 has attracted widespread attention in the technology industry. According to insiders, GPT-5 has already started a gradual test and is expected to be officially launched in July this year. This new model will adopt a multimodal design, meaning it can not only process text input but also understand speech, images, code, and even videos, completely changing the way we interact with AI. Sam Altman, CEO of OpenAI, stated that the launch of GPT-5 will mark a new era in AI.

Recently, the Qwen VLo multimodal large model was officially released, achieving significant advancements in image content understanding and generation, offering users a brand-new visual creation experience. According to the introduction, Qwen VLo has been comprehensively upgraded based on the advantages of the original Qwen-VL series models. The model not only can accurately understand the "world", but also can perform high-quality re-creation based on understanding, truly achieving the transition from perception to generation. Users can now access Qwen Chat (chat.qwen.ai)

Recently, Google announced that the upcoming Gemini feature will replace Google Assistant on Android devices. According to an internal email obtained by Android Police, the Gemini update will start rolling out on July 7th. This update will allow users to still control phone calls, messages, WhatsApp, and other apps through this AI assistant even when the Gemini app is closed. This change aims to enhance user experience.

Recently, a research team from the University of Hong Kong, The Chinese University of Hong Kong, and SenseTime has released a groundbreaking framework - GoT-R1. This new multimodal large model significantly enhances the semantic and spatial reasoning capabilities of AI in visual generation tasks by introducing reinforcement learning (RL), successfully generating high-fidelity and semantically consistent images from complex text prompts. This advancement marks another leap in image generation technology. Currently, although existing multimodal large models have made significant progress in generating images based on text prompts

Recently, Google officially launched a new command-line tool - Gemini CLI. This tool is based on Google's self-developed Gemini2.5Pro AI model, aiming to provide developers with convenient AI Q&A and content generation services. With Gemini CLI, developers can directly call the power of AI in their own terminal interface, thereby improving programming efficiency and work convenience. One of the highlights of Gemini CLI is its support for up to 1 million tokens

Google has officially launched Gemini CLI today, an open-source terminal AI agent tool, directly challenging commercial AI coding tools. The project immediately received over 9,000 stars on GitHub, showing strong community interest. The free strategy disrupts the market: Zero cost usage: Simply use a personal Google account to obtain a Gemini Code Assist license. Top model: Free access to the Gemini 2.5 Pro model.

Recently, Ele.me officially launched its new AI assistant 'Xiaoe' nationwide. This intelligent system, based on large model technology, aims to provide comprehensive support and services for millions of Blue Riders (deliverers). With this AI assistant, deliverers can complete food delivery more efficiently, reduce their workload, and improve their work experience. The launch of 'Xiaoe' marks a major innovation in the food delivery industry. Riders can simply use voice activation to 'Xiaoe' to receive orders, confirm arrival at stores, and check promotions, greatly improving convenience.

On June 24, Faraday Future officially announced the launch of the FF AI2.0 intelligent cockpit operating system, which is the most significant cockpit upgrade since the release of the FF91 in 2023. The new system will be deployed to the FF91 2.0 model first through OTA software updates, and it is planned to be extended to the FX series in the future. FF AI2.0 features a complete restructuring of the entire AI architecture, with its biggest highlight being the deep integration with OpenAI. The system deeply integrates large language models (LLMs) into Faraday Future's software and hardware architecture.

Microsoft officially announced the release of a new device-side small language model (SLM), Mu, specifically designed for the settings application in Windows 11 to create an intelligent AI agent. This marks a significant breakthrough in localized AI technology within operating system interactions. As a compact and efficient model, Mu runs through deep optimization on the neural processing unit (NPU), providing users with a low-latency, high-privacy natural language interaction experience. AIbase has compiled the highlights and industry impact of Mu, taking you on a journey to explore its features. Mu: Designed Specifically for Windows Settings

Recently, an intelligent academic research tool called ScholAI has attracted widespread attention. This innovative tool, based on the Multi-Cloud Platform (MCP), integrates functions such as paper search, analysis, management, CCF ranking query, and semantic query analysis, providing researchers with an efficient and intelligent academic research solution. The AIbase editorial team has compiled the latest information from the web to provide you with a comprehensive overview of ScholAI's unique advantages and future potential. Core Features of ScholAI: One

Recently, Volc Engine officially announced the launch of the enterprise AI mid-platform HiAgent 2.0, aiming to address real-world business needs and pain points in the development of Agent applications, helping enterprises achieve efficient delivery of intelligent bodies from development to operations. HiAgent 2.0 is positioned as an enterprise AI mid-platform, and compared to its predecessor HiAgent 1.0, it has expanded in four dimensions of functionality. Upwardly, HiAgent 2.0 provides more industry scenario templates and a rich plugin market, significantly lowering the barrier to building intelligent bodies; towards