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On April 24th, Kunlun Wanwei announced the official open-sourcing of its multimodal reasoning model, Skywork-R1V2.0 (hereinafter referred to as R1V2.0). This upgraded version demonstrates significant improvements in both visual and text reasoning capabilities, particularly excelling in deep reasoning for challenging science problems in the College Entrance Examination and general task scenarios. It is considered the currently most balanced open-source multimodal model, equally adept at visual and text reasoning.

A groundbreaking new AI technology allows language models to search the internet for information! Not only has this resulted in a 41% increase in exam scores, but it also unlocks a new level of reasoning and search capabilities. Learn about this academic 'cheat code' evolution and why you might want to get your AI a library card! Paper: https://arxiv.org/abs/2503.09516 Code: https://github.com/PeterGriffinJin/Search-R

At this year's World Economic Forum in Davos, numerous business and political leaders gathered, largely agreeing that US tech giants dominate the Artificial Intelligence (AI) landscape, with China and Asia seemingly lagging behind. However, in the wake of the event, this perception is being challenged. First, a previously unknown Chinese hedge fund, DeepSeek, has captured global attention. Its AI division has launched a large language model called R1,

Kunlun Wanwei's Tiangong team announced the launch of the upgraded Skywork-OR1 (Open Reasoner 1) series of models. This follows the February 2025 release of Skywork-o1, the company's first Chinese large language model focused on logical reasoning. The Skywork-OR1 series achieves industry-leading reasoning performance with the same parameter scale, further breaking through the bottlenecks in large model capabilities for logical understanding and complex task solving.

StepStar Technology team officially announced the launch of its new multimodal reasoning model, Step-R1-V-Mini. This release marks a significant breakthrough in multimodal collaborative reasoning, injecting new vitality into the further development of AI technology. Step-R1-V-Mini supports image and text input with text output, demonstrating strong instruction following capabilities and versatility. It can accurately perceive images and complete complex reasoning tasks.

Recently, a collaborative effort between the Institute of Automation, Chinese Academy of Sciences, and the CASIA-Zidong Taichu team introduced Vision-R1, a novel method leveraging R1-like reinforcement learning to significantly enhance visual localization capabilities. This approach achieved a 50% performance improvement in complex tasks such as object detection and visual localization, surpassing existing state-of-the-art (SOTA) models with over ten times the parameter scale. Currently, large vision-language models typically rely on "pre-training + supervised fine-tuning" to improve responsiveness to user instructions, but this...

OpenAI CEO Sam Altman announced on social media today that the company will release an open-source artificial intelligence model in the coming months. This news has generated significant attention, especially after the breakthrough success of the R1 model by Chinese company DeepSeek, putting pressure on OpenAI and highlighting competition from Meta's Llama series of models. Altman stated that OpenAI has long considered launching an open-source model.

A powerful newcomer has emerged in the fintech arena. The Fin-R1 model, jointly developed by Professor Liwen Zhang's team (SUFE-AIFLM-Lab) at the School of Statistics and Data Science, Shanghai University of Finance and Economics, and Caiyue Xingchen, has been officially open-sourced, attracting significant attention due to its impressive performance. This financial specialized large language model, based on Qwen2.5-7B and trained with reinforcement learning, achieves leading performance across multiple financial benchmark tests. Remarkably, Fin-R1 surpasses most models of comparable size, and even many significantly larger models, despite having only 7B parameters.

At the "FUTU Investment Expo" held on March 21st at the Hong Kong Convention and Exhibition Centre in Wan Chai, FUTU Securities officially announced the integration of DeepSeek-R1 and the launch of a series of upgraded artificial intelligence (AI) product features. The expo, themed "Intelligent" Investing, attracted significant attention from retail investors. FUTU Securities founder and chairman, Li Hua, stated at the expo that the newly launched Bull AI will provide investors with more flexible services. Unlike the previous unidirectional "AI stock interpretation", Bull AI is capable of processing...

Kuaishou announced that its search function has fully integrated the DeepSeek R1 large model, aiming to significantly improve search results and user experience, and further drive user activity growth. Simultaneously, Kuaishou is also looking to the future, actively exploring the commercialization potential of intelligent search scenarios. Previously, Kuaishou's AI content creation platform, "Keling AI", has already integrated DeepSeek R1. In the video and image generation fields, users can now leverage DeepSeek's powerful capabilities to generate or optimize prompts more efficiently.

CMSC stated on an interactive platform that it has deployed the DeepSeek series of models, currently primarily integrated into the company's office communication software to support employees' daily work needs. In the future, the company will comprehensively utilize R1-class strong reasoning models for business digitalization upgrades, exploring applications centered around core businesses such as intelligent investment advisory, intelligent investment, and intelligent investment research.

Nvidia has introduced Dynamo, a new software designed to significantly accelerate the performance of its DeepSeek AI technology, promising a 30-fold speed increase.

Kunlun Wanwei has open-sourced its Skywork R1V multimodal reasoning model, marking a significant advancement in Chinese AI capabilities. This powerful model represents a major leap forward in the field.