What are the disrubances and rebalances here?
Will your model make the jump, or avoid the deep falls like a good vacuum cleaner?
Why avoid deep imbalances? Why not let it go to deeper states and emerge back from it, or not.
P.S. Sophie is doing ok now. thanks for the thought.
see the video here - where it constantly says “negative input” is basically the summarized version of this happening to sophie. watch how things max out and then zero out and attempt a new balance. similar to what humans do when pushed to the max of what they are able (programmed) to handle. then they shut down, reform, rebuild, and rebalance. using our own approach to life seems to really closely replicate the way it rebalances funny enough, and i believe thats because of how the relations are drawn between the different states that affect each other. the ultimate test would be adding weights to each of the interrelations and then running an optimization on it. this weekend i will try to incorporate it in the repo attached above.
the model can really only do what you allow it to, or what you allow it to edit to. thankfully read only memory exists so i think this is actually a wildly safe way for all kinds of emotions or states of being to be put into this consciousness engine and then heavily interrelated and weight. the more states, the more “conscious” it probably becomes.
the thing that really matters with negative input and output is what it’s allowed to langchain to, essentially, and what prompts are allowed to pass in and out of this rebalancing. it’s really just a head on top of another head that operates in a wider network of connections etc.