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英语新闻丨世界杯预测成为AI新竞技场

英语新闻丨世界杯预测成为AI新竞技场

Episode 1 Published 3 months, 2 weeks ago
Description

As the 2026 FIFA World Cup brings together more nations, more matches and more excitement, a competition has intensified off the pitch among China's leading artificial intelligence models, which are being put to the test in predicting the results of one of the world's biggest sporting events.

随着2026年FIFA世界杯汇聚更多国家、更多比赛和更多激情,场外一场竞赛也在中国领先的人工智能模型之间愈演愈烈——它们正接受着预测全球最大体育赛事结果的考验。


The 23rd edition of the World Cup, featuring 48 teams, is being hosted by the United States, Canada and Mexico.
第23届世界杯由美国、加拿大和墨西哥联合主办,共有48支球队参赛。


It opened on Thursday and runs through July 19.
赛事于6月11日开幕,将持续至7月19日。


Several Chinese large language models, including Qwen, DeepSeek, Kimi and MiniMax, have rolled out prediction features, turning the tournament into a new testing ground for AI-powered reasoning and data analysis.
通义千问、DeepSeek、Kimi和MiniMax等多家中国大语言模型已推出预测功能,将本届赛事变成AI推理与数据分析的新试验场。


"As one of the most-watched sporting events across the globe, the World Cup offers AI companies a rare opportunity to showcase the computing power and analytical skills of their LLMs to a wider audience," said Guo Tao, a member of the Chinese Association for Artificial Intelligence and a senior expert in AI.
中国人工智能学会会员、资深AI专家郭涛表示:“作为全球关注度最高的体育赛事之一,世界杯为AI企业提供了一个难得的机会,向更广泛的受众展示其大语言模型的计算能力和分析技巧。”


Several AI platforms have come up with interactive campaigns.
多家AI平台推出了互动活动。


For instance, Moonshot AI's Kimi has launched a 1 trillion-token reward pool, allowing users to share prizes by correctly predicting match winners and the final champion.
例如,月之暗面的Kimi推出了1万亿token奖池,用户可通过正确预测比赛胜负和最终冠军来分享奖励。


A token refers to the smallest unit of data processed by AI models.
Token指的是AI模型处理的最小数据单元。


Alibaba Group's Qwen has introduced a dedicated match prediction assistant, while also offering human-versus-AI prediction challenges.
阿里巴巴集团的通义千问推出了专门的赛事预测助手,同时提供人机预测挑战。


However, the World Cup has also exposed the limitations of current AI models when it comes to analyzing and predicting the resu

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