ByteDance pauses Seedance 2.0 overseas launch plan as AI video generation faces renewed copyright ownership questions
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At the height of the AI race, copyright compliance is becoming a "speed bump" that technology giants cannot ignore.
In February this year, Disney sent a letter to ByteDance, accusing it of using Disney's works without permission during the training and development of its Seedance 2.0 model and demanding an end to the infringement.
Now, this copyright dispute is posing obstacles to ByteDance’s plan to launch Seedance 2.0 in overseas markets.
According to a recent report by The Information, due to a series of copyright disputes with major Hollywood studios and streaming platforms, ByteDance has decided to suspend its release plan for the next-generation video generation model Seedance 2.0 in overseas markets.
In response, All Weather TMT asked ByteDance to verify the authenticity of the news, but the company declined to comment.
Seedance 2.0 was once regarded by the market as ByteDance's "trump card" capable of directly competing with leading video generation applications such as Sora and Runway in overseas markets.
However, with the suspension of this release plan, ByteDance may find itself at a disadvantage in competing for overseas C-end users and B-end film and television production orders.
In fact, there have also been considerable concerns over the copyright issues of ByteDance's Seedance 2.0 in the domestic market.
As early as when Seedance 2.0 began internal testing in the domestic market, renowned blogger Tim from “Film Hurricane” discovered that even when he only uploaded a single facial photo and provided no voice sample, Seedance 2.0 could directly use his original voice to speak, and reconstruct camera movements from scenes outside the photo.
This sparked debates in the market regarding the compliance of ByteDance's training data sources.
Subsequently, ByteDance urgently adjusted the functional strategy of Seedance 2.0, suspending support for users to upload real photos or videos as subject references, among other changes.
However, such partial downsizing of features cannot fundamentally eliminate the Sword of Damocles hanging over AI-generated video models.
The overseas setback and domestic controversy faced by Seedance 2.0 are not isolated incidents, reflecting the underlying copyright concerns that cannot be concealed behind the rapid technological advancement of the entire AI video generation sector.
When high-quality, film-level corpora become training material for the next generation of large models, the approach of technology giants attempting to obtain training data at zero cost solely through the logic of "technological neutrality" has indeed caused substantial harm to the core commercial value of content creators.
How to establish a reasonable mechanism for data usage and benefit distribution, truly respect and give back to original copyrights, while pursuing technological advancements, may be an issue the whole AIGC industry needs to tackle.
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