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TLDR AI summary of the video:
Based on the video transcript, GPT O1 Mini is the best model for generating the code for the described app. Here's a breakdown:

Claude 3.5: Performed poorly. It generated incomplete code, missed key requirements (like the timetable feature), and introduced unwanted dependencies. The generated code was basic and didn't tackle the complex aspects of the app. The reviewer gave it a 2 or 3 out of 5.

GPT O1 Preview: Also performed poorly. It was considered even worse than O1 Mini, generating code that was essentially a less polished version of O1 Mini's output. It received a 2 or 3 out of 5.

GPT O1 Mini: Showed the most promise. It generated a significantly longer and more comprehensive codebase that addressed many of the requirements. It correctly used Firebase API, implemented good coding practices, and even attempted to handle the complex booking cancellation requirement. While it still had some issues (like missing dependencies, incorrect routing, and hallucinations), it was significantly closer to a usable app than the other models. The reviewer gave it a 4 out of 5 and considered it "scarily good."

Key Takeaways:

O1 Mini demonstrated a better understanding of the prompt and the desired functionality.

It generated more complete and complex code than the other models.

While not perfect, O1 Mini's output was closer to a functional app and required less manual intervention.

Important Note: The reviewer acknowledges that even O1 Mini's output wasn't perfect and required debugging and adjustments. It's not yet at a stage where non-coders can simply copy and paste the code to create a fully functional app. However, it represents a significant step forward compared to Claude 3.5 and O1 Preview.

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