ChatGPT – Truth over comfort instruction set
11–20 of 34 posts
Re: ChatGPT – Truth over comfort instruction set
#12Re: ChatGPT – Truth over comfort instruction set
#13This is not how LLMs work. You aren't 'unlocking' the "Truth" as it doesn't know what the "Truth" is. It is just pattern matching to words that match the style you are looking for. It may be more accurate for you in some cases but this is not a "Truth" instruction set as there is no such thing.
Re: ChatGPT – Truth over comfort instruction set
#14I've personally found that the "Robot" personality you can choose on that Personalize menu provides best results without cursed custom instructions. It removes all the emoji and emotional support babble and actually allows it to answer a question with just a single sentence "No, because X."
Re: ChatGPT – Truth over comfort instruction set
#15Re: ChatGPT – Truth over comfort instruction set
#16If the author is reading this, it should say "Err on the side of bluntness" not "Error".
Re: ChatGPT – Truth over comfort instruction set
#17> That can be helpful for the (imagined?) easily-influenced user, but a pain in the ass for people using ChatGPT to try to get close to the truth. see, where you're going wrong is that you're using an LLM to try to "get to the truth". People will do literally anything to avoid reading a book
Re: ChatGPT – Truth over comfort instruction set
#18Re: ChatGPT – Truth over comfort instruction set
#19Re: ChatGPT – Truth over comfort instruction set
#20This is not how LLMs work. You aren't 'unlocking' the "Truth" as it doesn't know what the "Truth" is. It is just pattern matching to words that match the style you are looking for. It may be more accurate for you in some cases but this is not a "Truth" instruction set as there is no such thing.
addendum: The ground truth for an LLM is the training dataset. Whereas the ground truth for a human is their own experience/qualia with actions in the world. You may argue that only a few of us are willing to engage with the world - and we take most things as told just like the LLMs. Fair enough. But we still have the option to engage with the world, and the LLMs dont.
Kind of feels like calling the fruit you put into the blender the ground truth, but the meaning of the apple is kinda lost in the soup.
Now i'm not a hater by any means. I am just not sure this is the correct way to define the structured "meaning" (for lack of a better word) that we see come out of LLM complexity. It is, i thought, a very lossy operation and so the structure of the inputs may or (more likely) may not provide a like-structured output.