
Qwen launches World Cup prediction, challenges fans to beat AI
The launch comes as fans debate whether large language models can outperform seasoned football observers in forecasting match results.

The launch comes as fans debate whether large language models can outperform seasoned football observers in forecasting match results.

WorldOlympiad aims to address a key challenge in the fast-growing field of world models: the lack of unified evaluation standards.

The leadership change follows a wave of attention sparked by a 75,000-word essay published by a former DingTalk product manager.
The newly created division will report directly to CEO Eddie Wu Yongming, underscoring the company’s intensified focus on AI.

Built on Alibaba’s Qwen large language model, NBA Chat integrates NBA historical statistics and in-depth player data to provide real-time basketball Q&A.

The launch positions Alibaba among a growing number of companies seeking to develop general-purpose AI models capable of operating in physical environments.

The promotion comes as Alibaba intensifies investment in AI across its consumer, cloud and enterprise operations.

The move will enable companies to create customized agents inside Qwen, defining their own service scope and interactions while offering products and services through natural-language conversations.

The campaign, which runs through June 10, brings together more than 100 influencers across 14 countries to host over 100 livestreams featuring more than 60 Chinese brands.

Within 10 hours, it topped bestseller lists across multiple e-commerce platforms including Tmall, JD.com and Douyin, according to the company.