LLM code-generated video beats Seedance on some tasks, argues KOL
op7418 · x · 2026-10-10
In a discussion, KOL Guicang highlights that what beat Seedance on certain types of video generation wasn't a stronger dedicated video model, but large language models generating video via code.
His takeaway: humanity's application-level development on top of LLMs is still far from exhausted — using a general-purpose LLM to write code for video can outperform specialized video generation models in some cases.
Related event: LLM Writing Code Beats Seedance in Some Video Tasks(2 posts)→
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