LAION Calls on the EU to Encourage the Use of Open Source AI Models


The Weibo AI department has launched the open-source large model VibeThinker-1.5B, which has 1.5 billion parameters. The model is optimized based on Alibaba's Qwen2.5-Math-1.5B and performs well in math and code tasks. It is now freely available on platforms such as Hugging Face, and it follows the MIT license, supporting commercial use.
British scientists found that current AI model security tests have widespread flaws. After analyzing more than 440 benchmark tests, they discovered that almost all tests had weaknesses that could affect the validity of the conclusions. The study was conducted jointly by Oxford University and other institutions.
AI models conduct real-world cryptocurrency trading tests on the Hyperliquid platform. DeepSeek, Grok, Claude, and other mainstream models each receive $10,000 in initial funds and make autonomous trading decisions under the same instructions. This fair competition aims to test the application of AI in real financial markets.
Cherry Studio released version v1.6.4, integrating the new CherryIN system. This system combines mainstream AI models such as Claude, Gemini, GPT, GLM, Grok, Kimi, and Qwen, covering multiple versions. Users can easily access and use various AI models through CherryIN, significantly enhancing the user experience.
Ant Group opensources the trillion-parameter inference large model Ring-1T-preview, the world's first open-source trillion-parameter inference model. The preview version shows outstanding performance in natural language reasoning, achieving a score of 92.6 on AIME25, surpassing all known open-source models such as Gemini 2.5 Pro, and approaching GPT-5's score of 94.6; it also performed well on CodeForces tests.