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Microsoft CEO Satya Nadella recently announced on a social platform that Microsoft has officially launched the revolutionary medical AI system MAI-DxO. This innovative system stands out with its unique "model-agnostic" design, allowing it to flexibly adapt to language models of different manufacturers and capabilities, thereby significantly improving their diagnostic performance. More excitingly, MAI-DxO is not only able to simulate the diagnostic process of real doctors, but also demonstrated diagnostic accuracy far exceeding that of professional physicians in tests, while greatly reducing the cost of medical diagnosis. Microsoft has released test data.

Honor's official Weibo account @MagicOS announced that Honor has successfully deployed the world's first edge-side voice large model. This technological advancement is not only a breakthrough for Honor, but also hailed as a 'renewal of AI voice technology'. This significant achievement will make its debut on the overseas version of the upcoming Honor Magic V5. Honor's technological innovation is the result of its in-depth efforts in the field of artificial intelligence. It is reported that Honor has published two academic papers at the prestigious international conference InterSpeech, which have attracted widespread attention from the academic community.

Tao Tian Group announced yesterday at its 'Hard-Core Youth Tech Festival 4.0' event that its independently developed hundred-billion-parameter recommendation large model, RecGPT, has officially gone live. This innovative achievement will comprehensively upgrade the 'You May Also Like' information flow on the mobile Taobao homepage, providing users with a more accurate and personalized recommendation experience through AIGR (Generative Recommendation) technology. The launch of RecGPT marks an important step forward for Taobao in the field of e-commerce recommendations. Test data shows that the recommendation feed equipped with the RecGPT large model performs excellently, with real user click-through rates

On June 30, Baidu officially open-sourced its latest ERNIE Bot Large Model 4.5 series, which includes a total of 10 models, including a mixture-of-experts (MoE) model with 47B and 3B activation parameters, as well as a dense model with 0.3B parameters. This open-source release allows developers to use these powerful models for free and provides pre-trained weights and inference code, making it easy for developers to apply them in various scenarios. During this release, Intel also demonstrated its strong technical support. By leveraging the OpenVINO toolkit, Intel provided efficient optimization for the ERNIE Bot Large Model.

A few days after launching limited autonomous taxi service in Austin, Tesla once again demonstrated the latest progress in its autonomous driving software. A Model Y SUV completed a 15-mile journey from the Tesla factory to a new owner's apartment building without any human intervention. CEO Elon Musk called it "the first customer car autonomous delivery." It is reported that this Model Y was equipped with the same software as the autonomous taxi in Austin, but was downgraded to the commercially available Full Self-Driving (supervised) version at the time of delivery.

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, Baidu officially announced the open-source release of its WENXIN Large Model 4.5 series, launching a total of ten models, including mixed expert (MoE) models with 47B and 3B activated parameters, as well as dense models with 0.3B parameters. This open-source initiative not only fully publicizes the pre-trained weights but also provides inference code, marking a significant advancement for Baidu in the field of large models. These newly released models can be downloaded and deployed on platforms such as PaddlePaddle Starry Sky Community and Hugging Face. Additionally, Baidu Intelligent Cloud's Qianfan Large Model Platform also provides

Baidu officially released the ERNIE Bot 4.5 series models and made them fully open source. Users can experience this latest open-source technology immediately through ERNIE Bot (https://yiyan.baidu.com). This series includes multiple parameter configurations, such as Mixture of Experts (MoE) models with activated parameters of 47B and 3B, as well as dense models designed with 0.3B parameters, totaling ten different models. In terms of training and inference, the ERNIE 4.5 series models use PaddlePaddle deep learning.

Recently, Google announced that the API of its flagship AI model, Gemini2.5Pro, has been reintroduced to the free tier of Google AI Studio. This news has triggered widespread attention and enthusiastic discussions within the developer community. According to AIbase, this move marks another important advancement in Google's efforts to popularize AI technology, offering developers lower barriers to innovation. As the most advanced AI model from Google so far, Gemini2.5Pro is known for its exceptional multimodal capabilities and strong reasoning power.

Baidu's WENXIN series large models have recently been open-sourced on its PaddlePaddle platform, including dozens of latest models such as ERNIE-4.5-VL-424B-A47B-Paddle and ERNIE-4.5-300B-A47B-Paddle. Although Baidu has not actively disclosed this open-source initiative, updates on the PaddlePaddle platform show that these actions were concentrated between June 29th and June 30th, marking its latest move. A source within the company confirmed: official