SenseTime Launches AI Large Model Smart Programming Assistant 'Code Raccoon'

Recently, a research team from the University of Hong Kong, The Chinese University of Hong Kong, and SenseTime has released a groundbreaking framework - GoT-R1. This new multimodal large model significantly enhances the semantic and spatial reasoning capabilities of AI in visual generation tasks by introducing reinforcement learning (RL), successfully generating high-fidelity and semantically consistent images from complex text prompts. This advancement marks another leap in image generation technology. Currently, although existing multimodal large models have made significant progress in generating images based on text prompts
Imagine you've painstakingly trained a brilliant AI large model capable of handling complex tasks. However, if the pipeline to this intelligent brain—the Model Context Protocol (MCP)—is insecure, you've left an opening for hackers. Don't worry! Created by blockchain security experts SlowMist, the MCP Security Checklist acts as a professional AI 'shield' providing enhanced security for MCP-based AI tools.
Tencent Yuanbao, a large language model AI application from Tencent, has achieved a breakthrough in the free App download rankings on Apple's App Store in China, surpassing DeepSeek to claim the top spot. Currently, the top five free apps are Tencent Yuanbao, DeepSeek, Personal Income Tax, Doubao, and Hongguo Short Videos.
With the rapid development of AI large language models in China, the investment and wealth management field is undergoing an unprecedented transformation. More and more investors are relying on AI for wealth management. Through "AI for financial planning", they find that AI can provide efficient investment advice and risk management solutions, helping them better seize market opportunities. In this new era, AI is no longer just a buzzword in the tech world; it's increasingly becoming the "financial advisor" in the hands of investors. Many experienced investors have noted AI's powerful information processing capabilities.
iFlytek and Huawei recently jointly released an upgraded StarFire All-in-One machine. This machine features comprehensive localized support in computing power, models, training, and inference, aiming for rapid deployment and out-of-the-box application experience. The release includes 4U training and inference integrated machines and 2U inference machines, marking another significant advancement in AI applications across various fields. A key highlight of the new StarFire All-in-One machine is its support for the integration of both iFlytek's StarFire and DeepSeek engines, combining in-depth thinking with industry understanding.