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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.

Amap announced the launch of the world's first map-based AI navigation agent, officially launching nationwide. This innovative initiative marks a transformation of navigation services from traditional travel tools to intelligent travel companions that can think, predict, and are empathetic.

Recently, a new AI model called "Quasar Alpha" quietly launched, attracting significant attention from the tech community and developers. Reportedly launched by an unnamed model lab, it's described as their first "stealth" model and a pre-release version of an upcoming long-context base model. Quasar Alpha quickly became a hot topic in the industry due to its impressive 1 million token context length, optimized encoding capabilities, and free and open access, pushing the boundaries of AI technology.

Shanghai MITAN Network Technology Co., Ltd. announced a breakthrough in its AI technology, launching a feature that rapidly transforms text content into interactive, visual webpages. This innovation aims to help users present and share information more efficiently, lowering the barrier to information dissemination and making knowledge sharing more convenient and intuitive.