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Tech community spotted OpenAI testing GPT-5-Auto (autonomous task execution) and GPT-5-Reasoning (advanced math/programming) in Mac client code, hinting at 2025 release with multimodal capabilities.....

Doubao App has made a major upgrade in the field of visual reasoning. Its image analysis feature now supports a deep thinking mode, offering users an unprecedented intelligent experience. Users just need to take or upload a picture while in deep thinking mode, and Doubao can quickly perform fine adjustments such as zooming and cropping, and supports image search functionality, enabling users to think and search simultaneously, thereby further improving the accuracy of search results.

Ant Group announced the financial reasoning large model Agentar-Fin-R1 at the World Conference on Artificial Intelligence. Built upon Alibaba's Tongyi Qianwen, the model focuses on the professionalism and security of the financial industry. It has shown excellent performance in evaluations such as FinEval1.0, offering 32B and 8B parameter versions. CEO Zhao Wenbiao pointed out that financial large models are key to the integration of AI and finance, and a corpus covering six major categories and 66 subcategories of financial scenarios has been built. The model is currently applied in a bank's AI mobile banking app, leading to a 25% increase in monthly active users.

Zhipu AI releases its next-generation flagship model, GLM-4.5, which achieves native integration of reasoning, coding, and agent capabilities. It uses a MoE architecture to provide high parameter efficiency. The model performs excellently across 12 authoritative evaluation benchmarks, achieving the third place globally and the first in domestic rankings. The model supports dual-mode operation, with training data reaching 2.3 trillion tokens, and offers competitive API pricing. GLM-4.5 is compatible with mainstream code frameworks, possessing full-stack development capabilities. It is now open-sourced on multiple platforms and provides an experience. Its technological breakthroughs and cost-effectiveness are expected to drive

iFlytek's upgraded Spark X1 model enhances translation, reasoning, and text generation, achieving top-tier global performance with 20% better translation quality. It scores over 80 in EN-CN conference translation, reduces AI hallucinations, and boosts efficiency for 100+ firms by 50%. Available via web, app, and API.....

iFlytek announced the official launch of the upgraded version of its deep reasoning large model, iFlytek Spark X1, which is trained using fully domestically developed computing power. This upgrade represents a comprehensive advancement, maintaining an edge over the latest versions of top domestic and international large models such as OpenAI's o3 in overall performance. It has also made significant progress in areas such as hallucination management, multilingual capabilities, and voice simultaneous translation, providing users with a smarter, more reliable, and more efficient AI assistant. The upgraded version of iFlytek Spark X1 has significantly improved capabilities in translation, reasoning, text generation, and mathematics.

iFlytek launches Spark X1 upgrade on July 25, a Chinese AI model excelling in math, translation, and logic with fewer parameters but comparable to OpenAI/DeepSeek. Features improved accuracy, multilingual support (130+ languages), and precise responses via 'slow thinking' mode, marking a breakthrough in domestic AI tech.....

Stanford University opensourced the AI tool OctoTools, integrating 11 professional tools to address complex reasoning tasks. The tool adopts a standardized tool card design, including functional modules such as image recognition and mathematical calculations. It follows a three-stage workflow: the planner analyzes the task, the executor operates the tool, and the validator ensures the results. Testing shows its outstanding performance in 16 benchmark tests, enabling efficient handling of cross-disciplinary issues such as mathematics and science, significantly improving the reliability and multi-step reasoning capabilities of AI systems. Open-source repository: github.com/oct

Recent research questions the mathematical ability of Alibaba's Qwen2.5 model, suggesting that its high scores may stem from data memorization rather than genuine reasoning. Tests show that Qwen2.5's performance drops sharply on previously unseen clean benchmarks; however, it can accurately reconstruct 60% of known questions, indicating training data contamination. The completion rate in the new LiveMathBench test dropped to zero. The study warns that contaminated benchmarks can mislead AI progress evaluation and emphasizes the need for clean benchmarks and multi-model validation. This finding raises doubts about the effectiveness of current AI evaluation methods and highlights the issue.

Recently, the ByteDance Seed team collaborated with the University of Hong Kong and Fudan University to introduce an innovative reinforcement learning training method called POLARIS. This method successfully enhances the mathematical reasoning capabilities of small models to levels comparable to those of large models through a carefully designed Scaling RL strategy, offering a new approach for optimizing small models in the field of artificial intelligence. Experimental results show that the 4 billion parameter open-source model Qwen3-4B trained using POLARIS achieved remarkable performance on AIME25 and AIME24 mathematical tests.

Kunlun releases Skywork-R1V3.0, an open-source multimodal model achieving expert-level reasoning. It excels in physics (52.8), logic (59.7), and math (77.1), outperforming Claude-3.7-Sonnet and GPT-4.5 with only 25K training samples.....

Alibaba opens WebSailor AI agent (32B/72B), outperforming closed-source models. Galaxy Securities highlights AI Agent economy growth, citing firms like Focus Tech and JinCai Tech. Open-source lowers entry barriers, accelerating industry progress.....

Recently, the Ali Speech AI team announced the open source of ThinkSound, the world's first audio generation model supporting chain-of-thought reasoning. By introducing the chain-of-thought technology, this model breaks through the limitations of traditional video-to-audio technology in capturing dynamic visuals, achieving high-fidelity and strong synchronized spatial audio generation. This breakthrough marks a leap forward in AI audio technology, moving from 'image配音' to structured understanding of visual content.

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