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Zhipu AI officially open-sources its latest general vision model, GLM-4.1V-Thinking, based on the GLM-4V architecture, which introduces a chain-of-thought reasoning mechanism, significantly enhancing its capabilities for complex cognitive tasks. The model supports multimodal inputs such as images, videos, and documents, and excels in diverse scenarios including long video understanding, image question answering, subject problem-solving, text recognition, document interpretation, grounding, GUI Agent, and code generation, covering a wide range of industry application needs. GLM-4.1V-9B-Thinking

On June 30th, the world's first trillion-parameter large model for the power generation industry, Qinyuan, developed independently by the State Energy Group, was officially released. This innovative large model, with its unique full-stack independent and controllable characteristics, marks an important step forward for the power generation industry into a new era of intelligent decision-making. The Qinyuan large model aims to integrate the diverse scenarios, high complexity, and strong professionalism of the power generation industry, fully utilizing the State Energy Group's globally largest installed capacity and massive data resources. The launch of this model not only creates a new engine for multi-energy coordination and dynamic optimization, but also establishes an electricity

Google's DeepMind announced a major breakthrough in hurricane forecasting on Thursday, launching an innovative artificial intelligence system capable of unprecedented precision in predicting the path and intensity of tropical cyclones. This achievement solves long-standing challenges faced by traditional meteorological models for decades. At the same time, DeepMind also launched "Weather Lab", an interactive platform to showcase its experimental cyclone prediction model. The model can generate up to 50 possible storm scenarios 15 days in advance. More notably, De

Silicon Valley investor Mary Meeker's latest released AI report reveals that the global AI competition landscape is experiencing profound reshaping. Chinese strength and open source wave are shaking up the ecosystem dominated by top companies like OpenAI, entering a new stage of 'contested supremacy'. The report points out that China's large language models are rapidly catching up with the U.S., with models such as DeepSeek, Alibaba Qwen, and Baidu Wenxin Yiyan showing excellent performance in core tasks such as code generation and mathematical reasoning.

A major breakthrough has been achieved in artificial intelligence voice synthesis technology! AIbase learned from social media platforms that Bland AI has officially released its new Bland TTS engine, claiming to be the first voice AI technology to cross the Uncanny Valley. This engine uses large language models (LLMs) to directly generate speech and can achieve voice cloning of any person by using just a short audio clip, supporting flexible mixing of intonation, rhythm, and other styles. This article will provide you with an in-depth analysis of the innovative features of Bland TTS and its impact on AI voice applications.

Google has quietly launched an experimental app called the Google AI Edge Gallery, marking a significant step forward in edge computing and privacy-focused AI deployment. This application enables users to run open-source AI models from the Hugging Face platform directly on their smartphones, allowing functions like image generation, text processing, and code editing without an internet connection. A landmark in local AI, the Google AI Edge Gallery achieves this through Google's LiteRT (

Alibaba officially released QwenLong-L1-32B today, a large language model specially designed for long context reasoning, marking a significant breakthrough in AI's ability to handle long text processing. The model outperforms o3-mini and Qwen3-235B-A22B, performing at a level comparable to Claude-3.7-Sonnet-Thinking. The biggest technical breakthrough of QwenLong-L1-32B is that it is the first in the world to be trained via reinforcement learning.