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That was one of several methods, but I (usually) don’t go that deep in comment threads.

For Advanced Data Analysis, I had it “use Jupyter to write Python” to transform the content of our conversation, including “messages that appeared before this one” or “after ‘You are ChatGPT’”, into a list of dicts.

For both voice and mobile, I opened the same Advanced Data Analysis chat in the iOS client, pointed out that I believed the code was incorrect, and suggested “that’s weird, I think the context changed, could you verify that the first dict is correct?”

It merrily said (paraphrasing) “holy hell, you’re right! Let me fix that for ya!”

And then, you know, it fixed it for me.



I am a bit suspicious because ChatGPT knows which version of Python it has installed, as well as which packages, without actually executing any Python. And yet, this context is not in the shared system prompt for advanced data analysis.


I think there are often assumptions made that we are talking to a single prompt via ChatGPT when it seems likely that there are preprocessors selecting from different prompts and, quite likely, post-processors too.


It also knows how to make download links for files in its file system, when the prompt doesn't explain how this can be done.


Could some knowledge have been finetuned into it, and be outside of the prompt?


I still think Code Interpreter runs on a custom fine-tuned model. I'd love to get an official answer on this.


Watch the networking panel in devtools. I don’t think it’s a different tuning, per se, but I do think there’s a middleware, and network traffic suggests that’s what the middleware handles.


It's just seen lots of code. No prompt engineering required.


[flagged]


asshole


[flagged]


Okay then. Best of luck with all of that.




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