AI-generated videos have taken a huge leap forward with Sora, OpenAI’s latest video generation model. But here’s the catch: while it produces stunning, cinematic visuals, it’s still not suited for tasks that demand precision and control.

📸 Where Sora Struggles

Despite its creative power, Sora has difficulty handling small details and consistency—two key requirements in professional visual work.

Compare that with task-specific AI models:

• ✅ Clothing replacement AI in advertising swaps outfits pixel-perfectly.
• ✅ Face-swapping tools deliver hyper-realistic expressions without visible glitches.
• ✅ Product rendering AI creates flawless, photorealistic 3D assets with ease.

🧠 Why Specialized Models Win

These specialized AIs are trained for one purpose. That means:

⚠️ Critical Issue: OpenAI Structured Output Fields Can Be Overridden 🚨

In OpenAI’s models, structured output fields are meant to guide the format and content of responses. However, the descriptions of these fields are treated as part of the context of the query. This means that if you know the field name, you can redefine its purpose by specifying a new meaning in the prompt.

🔴 This behavior is not intended and can lead to issues, such as: