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I watched the new “Superman” for the second time yesterday, because I’m a die-hard DC fan, and also because even though it’s a bit mindless, it has vitality that overflows from the screen. Today, we continue our discussion from yesterday and explore how to make AI-driven film and television creation more vibrant.

Yesterday I went to see the new Superman movie. Absolutely loved it, and I’ll be going for a second watch today. I’m a die-hard DC fan—there are traces of DC in all the novels I write. The new Superman performed brilliantly; it’s been a long time since a superhero film kept me thrilled from start to finish. It was exhilarating, heart-wrenching, and emotionally resonant, with that overwhelming comic-book feel—a rousing start for the DCU. It’s not perfect, but it’s undeniably exciting.

After Vidu’s multi-reference Q1 went live yesterday, Kling’s multi-reference feature will likely be updated soon as well. I’ve always believed that multi-reference is a crucial method for solving character consistency and scene consistency. This update is the first step toward completely resolving consistency issues, and within a few months, the consistency problems that plague most creators could be resolved.

It was pure luck.

Anyone who has written Chinese science fiction knows that the current Chinese sci-fi market is highly competitive, but 80% of the market belongs to Liu Cixin. The remaining 20% is usually unread by anyone. There are few opportunities and intense competition, and readers are nowhere to be found. Therefore, many science fiction authors are confused, even paralyzed by uncertainty.