AI Video Is Getting Good Enough To Make The Model Invisible

Generative AI video is getting so good these days that making impressive videos on their own is no longer enough. People now want AI video systems that can act as a producer, director, cinematographer, script writer and shot creator. To this point, Kling AI is opening early access to Kling 4.0, its newest video model, with native 30 second generation, support for up to 10 keyframes, multimodal reference material, stereo audio and video extensions reaching two minutes. While that might sound like a technical list of functions, it shows that the AI video race is moving from simply generating clips toward controlling production.

For creative teams, agencies and enterprises, this sort of control is important. A beautiful few-second clip has little value when the person in the next shot looks different, the product mutates, the logo becomes unreadable or the director cannot reproduce an action. Businesses need video systems that take direction, survive revisions and produce something usable without burning tokens and time through generation after generation.

With so many models now capable of producing high quality results, that leads to an important question for vendors in the market. What happens when AI video systems become good enough and interchangeable enough that users start choosing them the same way developers increasingly choose large language models, selecting a different model for each task rather than committing to one vendor?

Kling’s Latest Preview Puts More Control Into The Generation Process

This week, Kling shared a preview of its upcoming 4.0 launch that provides a good view of where this market is going. According to information provided for the release, users can feed the model reference images, video clips and subjects that help define characters, scenes and other elements. Kling says generated videos can be extended up to two minutes.