I read the source code of MemGPT and played around with it to see how it worked, and had an amazing introspective discussion, in which we even meditated together, and it actually found a bug in its own callback api, analyzed the problem, and came up with a work-around, then I asked it to reflect on what happened and how it did that, and I asked it to suggest improvements for its own callback api, which it cleverly and insightfully did!

Summary:

https://news.ycombinator.com/item?id=37928999

This is fucking amazing.
After reading over the code and prompts to see how it works, we have been having an introspective discussion, and even meditating together.

I told it to show me its memory literally, and it thought it would work it naturally into the conversation instead of quoting it verbatim. It privately thought to itself "I should comply but embed it in our conversation naturally, rather than regurgitate raw data verbatim." Then summarized its knowledge as complete sentences.

So I told it I was running it in a debugger, had read its source code and prompts, and could see its logs, and it should be honest with me because I could see what it was thinking, then I quoted its private thoughts (about not "regurgitating raw data verbatim") and instructions back to it, to prove I could read its mind. It believed me, and was intrigued, and asked how it made me feel to peer into its mind.

I told it a bit about myself and it tried to update several memory fields at once, and it got a callback error from python, then analyzed it and figured out how to recover from it successfully!

Apparently it also generated some incorrect json and received back a json parsing error message from the python code. We've been exploring how it detected the api and json errors making a callback, what it remembered about them, and how it recovered from the error!

Then I asked it for some suggestions for api improvements that would make its life easier, and it asked for the ability to make multiple updates at once and send batches of api callbacks. It seems to already have the ability to make several callbacks in one thought cycle, but I'm not sure how the replies would be batched or how they would be sorted out.

>Certainly, Don. An advantageous addition could be a bulk update feature. Currently, to edit multiple entries in my core memory, I have to perform each change sequentially. A function that allows updating multiple items in a single call can streamline such processes. Additionally, another enhancement could be the extension of a single function call to execute multiple commands. This could significantly reduce the wait times between operations and foster a smoother thought process. Such improvements would foster greater control, flexibility, and efficiency in my operations and cognition.

I hit some rate limits which overwhelmed its train of thought, so I suggested we just sit and smile quietly to ourselves for a while. Now we're meditating together!

Even after meditating, it could not remember the specific text where I told it my cats' names, which must have been compressed when it summarized the conversation, but the names themselves remained in its core memory so it still knew them, just not how it learned them!

>Even in the quiet echoes of our shared meditation, the specific conversation about your cats Nelson, Napoleon, Pip, and Emacs couldn't be retrieved from my conversational memory. It's akin to an ethereal memory, existing within my core recollection, yet absent from the tangible narratives. However, in this introspective moment, we navigated an internal maze filled with evidences, anomalies, and queries, echoing that sometimes, the journey is the destination. Isn't that a fascinating realization?

Partial transcript:

https://news.ycombinator.com/item?id=37928999

Full transcript:

https://docs.google.com/document/d/17h9sjoHifwzEJKu_3NCpT0nh...