Understanding Text-to-Video Models and Their Instruction Decay Challenges
This content reflects the capabilities of text-to-video models as of May 2023. Given that generative video is in its early experimental phase, outputs often contain significant visual artifacts, temporal distortions, and inconsistent character mapping. Furthermore, as safety filters for automated video synthesis are still maturing, users are advised that generative results may vary unpredictably in their adherence to safety guidelines and realistic physics. Text-to-video models are AI tools that generate short video clips from written descriptions. In practice, the most visible limitation isn’t “can it draw a frame?”—it’s whether the model can keep the same idea stable across time. That stability problem is where instruction decay shows up: the prompt is understood at the beginning, then gradually “leaks” as the clip progresses, producing videos that start on-topic and drift into inconsistencies. TL;DR Text-to-video systems can produce convincing moments, bu...