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xAI's upgraded chatbot Grok sparked debate by allowing biased media views and politically incorrect remarks. It blamed Musk and Trump for Texas flood responses, drawing backlash. Controversial comments on Hollywood's Jewish executives reignited AI speech boundary discussions.....

In the context of artificial intelligence becoming increasingly prominent, OpenAI's CEO Sam Altman recently issued an important warning. He pointed out that although his company's chatbot ChatGPT has gained widespread application and recognition globally, the level of user trust in it has surprised him, even caused some concern. In a recent interview, Altman emphasized that users should maintain a cautious attitude towards ChatGPT. Altman at OpenAI

Recently, a new general intelligent agent called MiniMax Agent has been officially launched, aiming to provide efficient solutions for complex long-term tasks and has attracted widespread attention in the industry. MiniMax Agent: A breakthrough work of general intelligent agents - MiniMax Agent is an intelligent agent designed specifically to solve long-term complex tasks, featuring expert-level multi-step planning capabilities, flexible task decomposition mechanisms, and end-to-end execution efficiency. Its design concept is to make AI a reliable teammate.

In the recent Fiction.Live benchmark test, Gemini2.5Pro performed excellently in understanding and reproducing complex stories and backgrounds, leading ahead of OpenAI's o3 model. This test goes far beyond traditional "needle-in-a-haystack" tasks, focusing on a model's ability to handle deep semantics and context-dependent information within large contexts. According to the test data, when the context window length reaches 192,000 tokens (approximately 144,000 words), the performance of the o3 model drops sharply, while

Recently, the Beijing Academy of Artificial Intelligence (BAEI), in collaboration with Shanghai Jiao Tong University and other institutions, officially released a new generation of ultra-long video understanding model - Video-XL-2. The introduction of this model represents a significant breakthrough in the field of open-source ultra-long video understanding technology, injecting new vitality into the development of multimodal large models for understanding long video content. In terms of technical architecture, Video-XL-2 mainly consists of three core components: a visual encoder, the Dynamic Token Synthesis (DTS) module, and a large language model (LLM). The model adopts

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.

On May 21st, Tencent announced the comprehensive upgrade of its Hunchun large model matrix, marking the continuous enhancement of its technical capabilities in the field of artificial intelligence. This upgrade covers several aspects, including the upgrade of the flagship fast thinking model Hunchun TurboS, the deep thinking model Hunchun T1, and the launch of new visual deep reasoning model T1-Vision and end-to-end voice call model Hunchun Voice based on the TurboS base model. In addition, Tencent has also synchronized updates to Hunchun Image 2.0, Hunchun 3D v2.5, and a series of other models for game visual generation.

Recently, Tencent's Hunyuan T1-Vision has launched Yuanbao. The Yuanbao can deeply understand image content by its unique Hunyuan T1-Vision model and accurately capture key points behind the information. Users just need to take a photo and upload it, whether it’s an uncommon plant variety, a complex foreign language game interface, or a decision-making scenario requiring in-depth analysis.