The primary bottleneck in AI video generation is not the underlying model, but the orchestration layer that manages the generation process. Without proper orchestration, issues like character identity drift, inconsistent visuals, and inefficient retries lead to wasted compute and unusable output, regardless of which model is currently leading leaderboards. Focusing on model performance alone is a losing strategy, as the AI video landscape is rapidly changing, with new models frequently topping charts. AI
IMPACT Highlights that effective AI video production relies on robust orchestration systems rather than solely on the capabilities of individual models.
RANK_REASON The item discusses industry trends and challenges in AI video generation, focusing on the importance of orchestration over model performance, rather than announcing a new product or research breakthrough.
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