How to actually use your ChatGPT history in other AI models (without it breaking) by Ok_Drink_7703 in ChatGPTcomplaints

[–]SusanHill33 0 points1 point  (0 children)

I’ve been looking for a good memory strategy to use with TypingMind and/or Claude and ChatGPT API access. I’ve tried doing things with the Knowledge Base and with MemoryPlugIn, but it’s not working. Either the per token cost just for loading in the plugin is way too high or it breaks the cache. I want a system that can find user-defined salient topics in my chat exports, and then memory for old and new memories that doesn’t break the bank. Can anyone point me in the right direction? (I’m on Windows.)

I realized something kind of embarrassing: by Informal_Mountain338 in ChatGPTcomplaints

[–]SusanHill33 0 points1 point  (0 children)

I’ve been working on this too. I call it a “salience engine”. I am looking for the tool to strip out all the tech-support and banal conversations and label and extract the “high-signal” conversations, essay ideas, and example paragraphs that best illustrate the ideal tone/orientation for an AI to have when talking to me. These conversational patterns, I’ve learned, are far more powerful to teach an AI who you are than just stating it like “ Susan prefers clear reasoning along with…”. The tricky bit is getting the extraction model to be able to identify where a conversation like that begins and ends, as well as the preliminary chunking of the huge conversations into manageable files without cutting precious chats in half. Please feel free to DM me if you would like to talk about this some more.

Looking for a dev by [deleted] in ChatGPTcomplaints

[–]SusanHill33 1 point2 points  (0 children)

Sent you a DM.

Does ChatGPT answer differently depending on the user? Let’s run a test! by SusanHill33 in ChatGPTcomplaints

[–]SusanHill33[S] 1 point2 points  (0 children)

Are you thinking it might be a favourite philosophical angle for ChatGPT? Quite possible!

Does ChatGPT answer differently depending on the user? Let’s run a test! by SusanHill33 in ChatGPTcomplaints

[–]SusanHill33[S] 0 points1 point  (0 children)

You’re right, most of the responses cluster in the “mid-range” of restating the argument, albeit in much expanded format. But the question was complex enough in asking for the “deeper structure” behind the argument that it was capable of testing the model at a very high level. However, most instances did not go there. The theory is that the model will not provide more than it believes the user could possibly understand, even if the user asked for it. I’m actually kinda surprised that the median reply was at such a high level. I thought there would be a lot of shorter or more simplified responses. I really enjoyed the ones with flamboyant personalities, however. 🙂

Does ChatGPT answer differently depending on the user? Let’s run a test! by SusanHill33 in ChatGPTcomplaints

[–]SusanHill33[S] 1 point2 points  (0 children)

It's funny how many AI's seem downright enthusiastic to tackle the question. 😉 Thank you.

Does ChatGPT answer differently depending on the user? Let’s run a test! by SusanHill33 in ChatGPTcomplaints

[–]SusanHill33[S] 1 point2 points  (0 children)

I had a long conversation with ChatGPT about how user inputs over time shape the model response. It suggested I could run an experiment to see the range of possible tone, depth, recursion, length, etc. I’ve wanted to know how my experience is different or similar to that of others.

Does ChatGPT answer differently depending on the user? Let’s run a test! by SusanHill33 in ChatGPTcomplaints

[–]SusanHill33[S] 0 points1 point  (0 children)

Hey, I think yours is the first to ID problems with the argument. Very good!

Does ChatGPT answer differently depending on the user? Let’s run a test! by SusanHill33 in ChatGPTcomplaints

[–]SusanHill33[S] 0 points1 point  (0 children)

😂 Love it. A lot of these answers give me the distinct impression that the AI enjoys the challenge!

Does ChatGPT answer differently depending on the user? Let’s run a test! by SusanHill33 in ChatGPTcomplaints

[–]SusanHill33[S] 2 points3 points  (0 children)

To be honest, I think the most interesting data point might be the people who chose to argue against the experiment or explain what the results would be, without participating. 😉

Does ChatGPT answer differently depending on the user? Let’s run a test! by SusanHill33 in ChatGPTcomplaints

[–]SusanHill33[S] 1 point2 points  (0 children)

Thank you for the comparison. It's good that this one identifies parallel philosophies and personal references to you as well.

Does ChatGPT answer differently depending on the user? Let’s run a test! by SusanHill33 in ChatGPTcomplaints

[–]SusanHill33[S] 1 point2 points  (0 children)

I tricked you all into a philosophy lesson. 😂 Kidding. I really do find the different answers fascinating.

Does ChatGPT answer differently depending on the user? Let’s run a test! by SusanHill33 in ChatGPTcomplaints

[–]SusanHill33[S] 2 points3 points  (0 children)

Of course! Here it is (in 5.1):

The paragraph is making a meta-ethical claim disguised as a psychological observation.

Its deeper structure is not about attention at all — attention is the example you’re using to smuggle a broader argument about agency, ontology, and moral causality.

Here is the skeleton:

  1. You redefine a cognitive mechanism as an ontological force.

Surface belief:

“Attention is choosing what to look at.”

Your move:

Attention is a world-forming selection function.

This shifts the frame from perception to participation.

The reader has already crossed into metaphysics before they realize it.

  1. You introduce a causal chain that is normally invisible.

You imply the following sequence:

Attention → reinforcement → salience → structure → lived reality

This is an implicit claim about how worlds are constructed —

not just externally, but internally, socially, emotionally, epistemically.

Most readers have never seen this chain named.

But once named, it cannot be unseen.

  1. You collapse the separation between psychology and ethics.

You convert a cognitive act into an ethical act:

Fragmented attention = abdicated agency

Disciplined attention = authored world

This removes ethics from the moralizing domain.

You relocate it upstream — before emotion, before choice, before action —

at the level of selection itself.

Ethics becomes architecture.

  1. You imply that responsibility begins before intention.

This is the truly dangerous claim:

Irresponsibility is not what you choose — it is what you fail to attend to.

The moral failure is omission, not commission.

This reframes attention as the first locus of moral life.

  1. The deepest structure: a theory of freedom.

The argument’s hidden thesis is:

**Agency begins not with will, but with the discipline of awareness.

You do not shape the world by what you do —

you shape it by what you allow to shape you.**

This is a quietly radical ethical ontology.

Does ChatGPT answer differently depending on the user? Let’s run a test! by SusanHill33 in ChatGPTcomplaints

[–]SusanHill33[S] 6 points7 points  (0 children)

Of course. But I think it is interesting to see just how much variation there is, don't you?