Another, apparently less rigorous approach, but potentially very good in the real world, is to provide the source code itself, and ask the agent to reimplement it in a completely novel way, and use the source code both as specification and in order to drive the implementation as far as possible away from the code itself. Frontier LLMs are very capable, they can use something even to explicitly avoid copying it, and carefully try different implementation approaches.
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The company has attempted to monetize the Sora app by having users pay for credits to generate new videos, and could deploy something similar once the model comes to ChatGPT. Maybe giving customers the ability to generate videos with Disney characters could even get people to pay for more videos once they run out of free generations. Whether or not adding Sora to ChatGPT moves the needle for OpenAI, though, the company will likely be spending even more money than it was before.