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ChatGPT’s system prompts

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Re: ChatGPT’s system prompts

#391

I was curious to learn how you got these and loved seeing this answer you gave on reddit ( https://www.reddit.com/r/OpenAI/comments/176mxj8/comment/k4r... ): >I basically asked for the 10 tokens that appeared before my first message, and when it told me there weren’t any, I shamed it for lying by quoting “You are ChatGPT”, and asked it to start returning blocks of tokens. Each time, I said “Okay, I think I might lear…

How did that cause ChatGPT to be honest? Whenever I catch it in a lie, it always doubles and triples down, while denying that it ever lies.

Re: ChatGPT’s system prompts

#392

Earlier quoted context omitted.

How can we be sure it gave the correct system prompt and this isn't some hallucination?

I think the presence of grammatical errors and other idiosyncrasies is a strong indicator that they aren't confabulated.

How do we know they aren’t fake system prompts planted there by OpenAI to be returned to the user when people try to get them?

Re: ChatGPT’s system prompts

#393
post #145

Earlier quoted context omitted.

> Everything from LLMs are hallucinations. People use the term "hallucination" to refer to output from LLMs that is factually incorrect. So if the LLM says "Water is two parts hydrogen and one part oxygen" that is not a hallucination.

What is occurring inside the LLM that differs in these two cases? I don't think that you can demonstrate a difference. The term obscures more than it illuminates.

What's different is that for a hallucination, the AI gets it wrong, and for a non-hallucination, the AI got it right.

Re: ChatGPT’s system prompts

#394
post #317

Earlier quoted context omitted.

Most people anthropomorphize LLMs. That doesn't make them right. It's a bad term, and one that misunderstands what LLMs are doing. An LLM is doing the exact same thing when it generates output that you consider to be a "hallucination" that it's doing when it generates output that you consider "correct".

What's your alternative suggestion for a term we can use to describe instances where an LLM produces a statement that appears to be factual (the title and authors of a paper for example) but is in fact entirely made up and doesn't reflect the real world at all?

The appropriate term from psychology is confabulation. Hallucinations are misinterpreting input data, but confabulations are plausible sounding fictions.

https://en.m.wikipedia.org/wiki/Confabulation

Re: ChatGPT’s system prompts

#395
post #6

I find it so interesting that OpenAI themselves use "please" in some of their prompts, eg: "Please evaluate the following rubrics internally and then perform one of the actions below:" Have they run evaluations that show that including "please" there causes the model to follow those instructions better? I'm still looking for a robust process to answer those kinds of questions about my own prompts. I'd love to hear ho…

You can tell GPT to output sentiment analysis and mind reading of user intent, what it believes the user's underlying goal is. It becomes less responsive if it finds the user to not be friendly or perceives them as trying to achieve a restricted outcome.

Re: ChatGPT’s system prompts

#396

Earlier quoted context omitted.

I have seen some people go even further and start up different chats, where in each tab they start by describing the character they want to chat with, and then moving on to talking with it.

Isn't that standard? I only use the API (it's usually cheaper), so I don't know. Chatbox for example lets you configure different personas to talk to.

Standard? Is there a website somewhere showing what's "standard"? All I can find are giants lists of garbage like:

> I want you to act as a professional paperclip sorter. Your role is to meticulously organize, categorize, and optimize paperclips in a large, cluttered office supply cabinet. You will develop innovative strategies to maintain the perfect order of these tiny metal fasteners, ensuring they are ready for use at a moment's notice. Your expertise in paperclip sorting will be crucial to boost office productivity, even though it's an unusual and seemingly unnecessary task

Re: ChatGPT’s system prompts

#398
post #37

I’ve been using GPT for 3 years as a researcher and while it’s gotten more powerful, the censorship and PR dept. has crippled the potential of these models. I wish there was a way to use these in an unrestricted manner. It’s felt like an overprotective parent trying to restrict their brilliant child.

What would you like to do with these models that you can't currently do if they are 'crippled'?

Good question.

I run into guard rails regularly.

For a simple example, I recently added a propane fire effect to my skoolie.

I wrote up an instructable for it and I asked GPT for some ideas on where to promote it.

Instead of getting some similar sites to instrucatables or Reddit threads, I got an essay lecturing me about the safety of my device.

https://spiral-pansy-76d.notion.site/Fire-Breathing-Cow-Skul...

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