Daily curated AI news: breakthroughs, product launches, industry trends and more.
Total 157 articles
MiniMax has officially released the M2.5 model, which achieves or sets new industry SOTA levels in advanced productivity scenarios such as programming, search tool invocation, and office work. The M2.5 model significantly improves task decomposition and reasoning efficiency, completing tasks 37% faster on the SWE-Bench Verified programming benchmark compared to the previous M2.1 model.
Zhipu AI has announced the open-sourcing of its latest flagship model, GLM-5, which has been scaled up to 744B parameters (40B active parameters) and trained on 28.5T of data. The model achieves state-of-the-art (SOTA) performance in programming and agent capabilities, with overall performance approaching Claude Opus 4.5. GLM-5 leads in multiple programming benchmarks and can complete complex system engineering and long-term agent tasks, supporting resource planning scenarios such as vending machine operation simulations.
On Wednesday, February 11, iFLYTEK officially released the Spark X2 large model, which is trained on entirely domestic computing power, and launched the API. Spark X2 matches international top-tier models in core metrics such as mathematics, reasoning, and language understanding, supports over 130 languages, and has improved reasoning performance by 50% compared to its predecessor, achieving deployment on a single domestic Ascend server.
The domestic AI application Loopit has sparked heated discussions on overseas social media, attracting numerous users with its unique "AI interactive content generation" feature. Developed by the team led by Weipeng Chen, co-founder of BaiChuan Intelligence, Loopit allows users to generate clickable, scrollable, and interactive content through text descriptions, and supports secondary creation of others' works. Recently, Loopit received public praise from Tesla CEO Elon Musk.
ByteDance has officially launched the Seedream 5.0 image generation model, which supports 2K/4K resolution output, improves the accuracy of prompt understanding, detail texture rendering, and intelligent reasoning capabilities, and adds an online search function. The model is now available for a limited-time free trial on platforms such as Jianying, CapCut, and Xiaoyunque.
ByteDance has recently released its new AI video generation model, Seedance 2.0. This model supports multimodal reference generation, capable of handling up to 12 reference files, including images, videos, and audio. The core breakthrough of Seedance 2.0 lies in the integration of AI generation and post-editing functions, allowing users to directly modify unsatisfactory parts, thereby significantly reducing the rate of unusable content.
On February 6, OpenAI released the new programming model GPT-5.3-Codex, which achieved State-of-the-Art (SOTA) results in the SWE-Bench Pro and Terminal-Bench 2.0 tests, with a programming score 11.9% higher than Claude Opus 4.6. GPT-5.3-Codex has the ability to debug, deploy, and operate office software, with a 25% speed improvement and the capability to participate in its own development optimization.
Keling AI has officially upgraded to version 3.0, introducing a new series of Keling 3.0 models. This upgrade integrates multi-modal input and output, redefining the AI video workflow. The Video 3.0 model has been deeply optimized for narrative and control, adding an intelligent storyboarding feature that can automatically schedule shot sizes and camera positions. Image 3.0 Omni introduces new deep narrative and batch creation features for image sets.
The Tongyi large model has announced the open-sourcing of the Qwen3-Coder-Next programming AI model. This model uses an 80B parameter MoE (Mixture of Experts) architecture, with only 3B parameters activated during each inference, significantly reducing computational requirements. On the SWE-Bench Verified benchmark, Qwen3-Coder-Next achieved a problem-solving rate of over 70%, performing on par with larger dense models.
Zhipu AI has officially released and open-sourced the professional-level OCR model GLM-OCR, achieving "small size, high precision" document parsing capabilities with just 0.9B parameters. The model topped the authoritative OmniDocBench V1.5 evaluation with a score of 94.6, demonstrating state-of-the-art (SOTA) performance in tasks such as text recognition, formula recognition, table parsing, and information extraction. It is particularly optimized for challenging scenarios like handwritten text, complex tables, and code documents, supporting batch processing of PDFs and images with a throughput of 1.86 pages per second.
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