Google Releases Large Language Model Gemini Pro, Bard Gets Smarter


Baidu released its new language model Ernie5.1 on May 11, 2026, based on the pre-trained foundation of Ernie5.0 with 2.4 trillion parameters. Through a 'one-time elastic training framework', it achieves single training optimization for multiple model sizes, with pre-training cost only 6% of similar models. As of May 9, the model ranked fourth globally and first in China on the Arena Search ranking with 1223 points, demonstrating high resource utilization and performance balance.
Google Gemini Pro/Ultra subscribers can now experience the Veo 3.1 video model, featuring the new 'Ingredients to Video' function: supports uploading three reference images at once, extracting character, scene, and style features respectively, and generating an 8-second 1080p video. The generated content includes an embedded SynthID invisible watermark, supporting text input on web and mobile devices for one-click generation. The system ensures character consistency across frames and consistent lighting, with demonstration cases showing that three self-portraits + cyber city background + oil painting style image can
Apple and The Ohio State University jointly launched the FS-DFM model, which can generate long text comparable to traditional models after only 8 iterations, achieving a writing speed improvement of up to 128 times, breaking through the efficiency bottleneck of long text generation. The model uses discrete flow matching technology, different from self-regressive models like ChatGPT that generate text character by character.
Alibaba launched Qwen3-Max-Preview, a trillion-parameter language model, setting a new AI benchmark. Available via Qwen Chat and Alibaba Cloud API, it outperforms predecessors in knowledge, dialogue, tasks, and execution.....
NVIDIA launches Jet-Nemotron language models (200M & 400M params), achieving 53.6x faster generation than SOTA with equal/higher accuracy via 'post-neural architecture search' that modifies pre-trained models.....