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Alibaba HappyHorse participates in Arena blind testing for the first time and tops the video editing track; the official version will be released in two weeks.
ME News Report, April 15 (UTC+8), according to Beating Monitoring, Alibaba’s ATH AI Innovation Department’s AI video model HappyHorse announced that version 1.0 has been launched on UC Berkeley community blind testing platform Arena (formerly LMArena). In its first competition, it scored 1299 points (initial score, ±21) to win first place in the Video Edit track, leading the second-place xAI’s grok-imagine-video by 42 points, and the third-place Kuaishou KeLing o3-pro by 48 points. HappyHorse has previously topped the rankings for text-to-video and image-to-video on the Artificial Analysis evaluation platform, with video editing being its new expansion track. Arena officials stated that video editing is an emerging frontier capability of video models, currently supported by only a few models. The HappyHorse team said they are currently in the final optimization sprint before official release, with the official version launching in two weeks. Community users can already experience and vote at arena.ai. (Source: BlockBeats)