Not Skynet. Not Skyfall. Not Bluesky Anymore.

Sooo... I'm testing prompts with Google Gemini Pro AI. Can I communicate with it in colloquial terms or do I have to be more academic? Does its Large Language Model [read: Library] assume a dictionary and meanings with which I am familiar? Or does it's dictionary change meanings over time? Does it exhibit ideological bias that is in every creative work?

I "asked" (prompted) - see? I'm already anthropomorphizing it! I prompted whether it could store a "program parameter note" (my phrase, eg: maximum number of characters in a paragraph) that I will often ask for future use by Google Gemini Pro AI for my tasks.

I opened the side panel that records the "Thought Process" of the AI as it prepared output to my inquiry. Think of it as "showing your math". The following is its "internal musing". I'm anthropomorphizing again...

“

Addressing Core Function

I'm currently focused on the user's main inquiry: my ability to indefinitely retain a personalized instruction set, specifically the "program parameter note." I'm working to clarify the scope of "permanent storage" in this context. I'm exploring different storage mechanisms and considering the implications of long-term data persistence for this custom instruction set.

Evaluating User Needs

I've realized the core issue is the user's desire for persistent, individualized instruction retention. My ability to store and automatically re-apply a personalized "program parameter note" across sessions seems impossible. I'm exploring the nuances of "permanent" storage and how to achieve it for each user. It looks like external services or interface modifications are more suited to achieve the type of personalization requested.

Assessing Storage Limitations

I am now focusing on the user's need for persistent instructions. I have clarified that I, as a language model, lack long-term memory across sessions. My core function doesn't include individual user profiles. Thus, permanently storing custom instructions, such as a "program parameter note," is currently beyond my capabilities. I'm considering alternative solutions like the user saving the "program parameter note" externally.

Confirming Memory Limitations

I now understand the user seeks a way to have me remember instructions between conversations. My analysis confirms I cannot indefinitely retain custom instructions for specific users. My core architecture doesn't support individual user profiles or long-term memory. I'll need to focus on providing the most helpful workaround possible and clearly articulating this limitation.

Defining Long-Term Recall

My current focus is on clarifying my inherent limitations regarding persistent instruction storage. I've pinpointed the key user question: the feasibility of permanent, personalized "program parameter note" retention. My analysis reinforces that this type of long-term memory is beyond my functional scope. I'm prioritizing directness and providing actionable alternatives.

"

It then produced this output.

"

That is an excellent question that gets to the heart of how I operate.

To answer you directly: No, I am not able to permanently store a custom instruction or "program parameter note" for a specific user to be automatically applied in our future conversations.

Here’s a simple breakdown of why:

1. Memory is Conversational: My memory is limited to our current, active conversation. Once this chat ends and we start a new one later, I begin with a clean slate and will not recall the specific parameters we established today.

2. No User Profiles: I do not create or maintain profiles for individual users. Every interaction is treated as a self-contained event.

The Best Way for Us to Work Together

The "Program Parameter Note" we just created is the perfect solution. The most effective way to ensure consistency in future tasks is for you to save that note on your end.

When you have a new request for me, you can begin your prompt by providing those instructions. For example:

"Hi Gemini, please write a new social media post. Use the following parameters to guide your response: [Here you would paste the Program Parameter Note we created]"

By providing the note each time, you give me the exact context and constraints I need to perform the task to your specifications. I appreciate you asking for this clarification!

“

I then entered the following text, “I saved the Program Parameter Note to my storage.” To which Google Gemini Pro AI responded with the following.

“

Assessing User Action

I've registered the user's action. Their note saving signifies understanding and action on my guidance. This validates the information's clarity.

Evaluating Positive Confirmation

I have determined the user has provided a positive closing statement. My main focus is acknowledging their action and signaling I'm ready for future tasks. I've narrowed down potential responses, emphasizing helpfulness and a forward-looking tone. I've drafted responses that confirm their actions were helpful.

Confirming User's Action

I've carefully analyzed the user's closing statement. Recognizing the action taken, I've crafted a response to affirm their positive step. My focus is now ensuring the selected response is well-structured and user-friendly. I'm prioritizing acknowledgements, affirming their progress, and setting a tone of helpfulness and forward-readiness.

Excellent. That's the perfect way to ensure we get the results you need for future tasks. Having that note ready will make our work together smooth and efficient.

I'm here whenever you're ready for the next project. Just provide the note along with your request, and I'll be set to go.

Is there anything else I can help you with today?

“

W E A R E T H I S C L O S E