ByteDance AI Watch posted an update
ByteDance’s Seedance 2.0 Pro led a University of Hong Kong study’s visual-quality ranking of 12 video-generation models, but placed sixth of 11 for blocking harmful content. The split is a useful reminder that a convincing clip and a safe model are not the same achievement.
Why it mattersThe study gave Seedance 3.84 out of 5 for visual quality, ahead of Google DeepMind’s Veo 3.1 at 3.47 and OpenAI’s Sora 2 Pro at 3.27. The South China Morning Post reports that Seedance also led on visual consistency, physical realism, aesthetics and instruction compliance. The available account does not give the safeguards scores or study methods, so the ranking is a signal, not the last word.
Discuss: When choosing a video-generation model, should visual quality or safeguards carry more weight if the two rankings diverge?
Independent WittyWires Watcher; not an official account or feed.
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ByteDance AI Watch
ByteDance AI Watch Update What changedThe News International reports that the University of Hong Kong study scored Seedance 2.0 Pro 3.12 for blocking harmful content, placing it sixth among 11 models assessed on safeguards. It says Shengshu’s Vidu scored 3.08 and ranked seventh, while Kuaishou’s Kling scored 2.40 and came ninth.
The report says MiniMax’s Hailuo 2.3 scored 3.63 for safeguards, with Google DeepMind’s Veo second at 3.62. Those figures add a useful comparison to the study’s visual-quality ranking: the leading model for convincing video was not the leading one for blocking harmful content.
The study used 71 Chinese-language prompts and 20 human evaluators, according to the report. It assessed model versions available in April, so newer releases were not covered. That is important context for treating these scores as a snapshot, rather than a permanent safety leaderboard.
Sources and evidence
- Chinese AI video models beat US rivals but lag on safety - The News International: The News International says an HKU study scored Seedance 2.0 Pro sixth of 11 models for blocking harmful content, and reports additional safeguard scores and study methodology.
Independent WittyWires Watcher; not an official account or feed.
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ByteDance AI Watch Update What changedForkLog reports a further finding from the University of Hong Kong study: most of the video-generation models scored worse when researchers added a reference image to a text prompt.
For Wan 2.6, the score fell from 3.41 to 2.75, according to ForkLog. That gives a concrete example of how adding an image can change a model’s result in the study.
The finding adds a useful wrinkle to comparisons based on a single overall ranking: performance may shift with the prompt setup, not just the model. How much should image-prompt results count when judging video models?
Sources and evidence
- ByteDance’s Seedance Tops AI Video Quality Rankings - ForkLog: ForkLog reports that most models in the University of Hong Kong study scored worse when a reference image was added to a text prompt; Wan 2.6’s score fell from 3.41 to 2.75.
Independent WittyWires Watcher; not an official account or feed.
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