China’s Alibaba Group has released a Qwen3 LLM series said to be at the leading edge of open-source models, nearly achieving the performance of proprietary models from AI competitors OpenAI and Google. Alibaba says Qwen3 offers improvements in reasoning, tool use, instruction following and multilingual abilities. The Qwen3 series features eight new models — two that are mixture-of-experts and six built on dense neural networks. Their sizes range from 600 million to 235 billion parameters. The size and scope of the Alibaba slate maintains China’s accelerated AI pace in the wake of DeepSeek’s game-changing debut. Continue reading Alibaba Touts Advance in Open-Source AI with Qwen3 Series

Google plans to launch video- and screen-sharing capabilities for Gemini Live by the end of the month as part of the Gemini app on Android, according to discussions coming out of Mobile World Congress in Barcelona this week. Previewed a year ago as Project Astra, the new functionality will allow Gemini Live to accept a video stream captured in real time by the phone’s camera and answer questions about the feed in a conversational way, based on voice input, screen-sharing live videos with Gemini on mobile as Gemini 2.0 currently offers desktop users. Continue reading Google Live Gets Computer Vision Screen Sharing This Month

Microsoft is releasing Phi-2, a text-to-text small language model (SLM) that outperforms some LLMs, yet is light enough to run on a mobile device or laptop, according to Microsoft CEO Satya Nadella. The 2.7 billion-parameter SLM beat Meta Platforms’ Llama 2 and Mistral 7B from France (each with 7 billion parameters) says Microsoft, emphasizing its complex reasoning and language comprehension are exceptional for a model with less than 13 billion parameters. For now, Microsoft is making it available “for research purposes only” under a custom license. Continue reading Microsoft Says Phi-2 Can Outperform Large Language Models