The explosive popularity of Seedance 2.0 has not only drawn significant public attention to a major AI model product but has also sparked widespread discussion within and beyond the industry regarding AI's radical impact on the film sector. Recently, ByteDance's Jiemeng launched its new model, "Seedance 2.0," with the realism of the videos it generates exceeding content creators' expectations.

Historically, ByteDance's first-mover advantage in video generation models was not considered pronounced. However, Seedance 2.0's rapid rise to fame has not only garnered praise from content creation teams domestically and internationally but has also recently driven substantial gains in stock sectors related to AI applications in film, gaming, and other fields.

The arrival of this singularity moment signifies a technological inflection point. Seedance 2.0's capabilities are recognized because many creators find this large model more reliably reproduces desired outcomes, offering greater predictability and certainty.

Almost concurrently with Seedance 2.0, Kuaishou released a new version of its model, "Kling 3.0." The competition between these two tech giants in AI video models is intensifying. The former demonstrates remarkable explosive potential, while the latter shows consistent iterative improvements, excelling in B2B applications and original content creation. Coupled with specialized vertical products, video production models are evolving rapidly, making AI tools more usable than ever before.

The surge in domestic large video models benefits from a unique combination of timing, geographic advantage, and human resources. Specifically, these products offer extremely high cost-effectiveness in commercial and production scenarios. AI is transforming into a versatile production line, initially making significant strides in short-form dramas and comic-based series.

It has been widely anticipated that this year would mark the large-scale implementation of AI applications. Against a backdrop where Sora remains not fully accessible, Genie 3 has shifted its strategic direction, and Veo emphasizes platform-based delivery, the market has an urgent need for capable, usable, and stable local AI video generation models.

The convergence of external expectations for AI applications and the models' own upgrades has propelled Seedance 2.0's popularity beyond mere technical or creator circles, resulting in a rare instance of mainstream breakout.

Following this breakout, the inflection point also necessitates confronting the practical question of "how to use AI." The "affirmation" and "concerns" expressed by two industry insiders—a well-known Bilibili content creator and the producer of *Black Myth: Wukong*—have further amplified discussion around Seedance 2.0.

The affirmation pertains to its technical capabilities, while the concerns revolve around the boundaries of its use. This capability translates to efficiency in a technical sense but quickly leads to real-world controversies over portrait rights, authorization limits, and deepfakes.

After all, compared to text, audio and video possess stronger attributes associated with real individuals. For public figures with abundant publicly available information, training data is plentiful, drastically increasing the security risks of impersonation and highlighting the pressing issues of responsibility and boundaries in data usage at this stage.

The producer explicitly pointed to the risks of rampant fake videos and a crisis of trust, stating that "because creating realistic fake videos will become barrier-free, the existing intellectual property and review systems will face unprecedented challenges." Clear labeling of AI-generated content, the "passive" upgrade of copyright protection, and the safeguarding of personal privacy will all undergo significant tests in the face of highly realistic synthetic media.

During the beta testing phase, the capabilities of a single model are often the primary focus. However, the true watershed moment will arrive after full public release, the introduction of paywalls, and the implementation of resource allocation systems.

This moment is not far off. Technological development is outpacing the establishment of industry regulations. As model capabilities grow increasingly powerful, copyright protection, data usage, personal privacy, and content security become imperative questions that must be addressed.