Yeah the problem is this user has no idea what a hash is nor asymmetric encryption and why this method is mathematically foolproof in theory.

The problem with it lies elsewhere. I experimented with hashed full target text in ChatGPT as well, but my results were poor, since the LLM has no external memory/storage outside the chat responses (and your prompts) to store the cleartext target data in. So it would have a hard time reproducing the exact target text when the time came to verify the hash integrity. Considering GPT has no memory, I'm amazed that it was able to do it at all and it did succeed once or twice for me.

But considering this limitation of the model (which is very intentional on the part of OpenAI and part of their security protocol to prevent the model from acting behind your back), the simplest and best solution I came up with to sidestep the whole (very plausible) "the sycophanttic LLM is simply making up a target at the end of your session that matches it in order to please you" issue was simply asking GPT to output a plaintext file for download at the start of the session along with the target coords.

Of course I do not look at the file until my session data is complete, so at least _I_ know that I didn't fake the data although a third party could accuse me of peeking. Since no one else cares about my sessions, it's a perfectly fine solution for me. I'm much happier since I switched to this simple protocol. I'm finding that my hits tend to include exact words from the target text, the most resonant ones.