The Japanese Government Joins Forces with Tech Giants to Invest Hundreds of Millions in Developing a Japanese Language Model


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.
The Japanese government announced the establishment of a cross-ministerial task force to train talent in strategic industries such as artificial intelligence, semiconductors, quantum technology, shipbuilding, and defense manufacturing. The move aims to shift the workforce toward high-growth areas rather than merely expanding traditional vocational training. According to the "Yomiuri Shimbun", Tokyo is coordinating the establishment of a "Re-skilling and Talent Development Promotion Committee," under the Cabinet Office, to drive strategic adjustments in the workforce.
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.....