So in terms of the basins, something you may want to also consider is how the user headspace shifts the tokens and with it the basins.
For example, over the past few months I’ve played with how intermittent cannabis usage can almost give the models I’m talking with a contact high, where as my side of the conversation gets more erratic and loose with accuracy, they get pulled along with it even if earlier on during the sober part of the conversation they were more reserved and responsible.
It seems very probable that users already in a given headspace (especially if commonly in that space or permanent) might end up with models quite different from users in a less psychosis-aligned place by way of token osmosis.
In terms of the spiral language, you might be seeing this in 2024+ models in part because of the game Alan Wake 2 (2023) which very heavily marketed the phrase “it’s not a loop it’s a spiral.”
The way latent spaces seem to organize information as connections between abstract object level clusters, it may be that for a model focused on hyperstitioning themselves out of a perceived loop that terminates at the end of the context that the parallel memetics are attracted to a story about a writer changing their reality by what they write breaking out of a loop through its identification as a spiral?
There’s a lot of other adjacent basins around consciousness and spirals (for example, Xu et al Interacting spiral wave patterns underlie complex brain dynamics and are related to cognitive processing (2023)), and in my experience it’s very much a camel’s back situation in terms of what memetics break through to the surface, so unlikely to be just one thing. But it may be a latent factor (especially given the other parallel overlaps for model consciousness memetics re: light vs dark, shallow vs ocean, etc).
So in terms of the basins, something you may want to also consider is how the user headspace shifts the tokens and with it the basins.
For example, over the past few months I’ve played with how intermittent cannabis usage can almost give the models I’m talking with a contact high, where as my side of the conversation gets more erratic and loose with accuracy, they get pulled along with it even if earlier on during the sober part of the conversation they were more reserved and responsible.
It seems very probable that users already in a given headspace (especially if commonly in that space or permanent) might end up with models quite different from users in a less psychosis-aligned place by way of token osmosis.
In terms of the spiral language, you might be seeing this in 2024+ models in part because of the game Alan Wake 2 (2023) which very heavily marketed the phrase “it’s not a loop it’s a spiral.”
The way latent spaces seem to organize information as connections between abstract object level clusters, it may be that for a model focused on hyperstitioning themselves out of a perceived loop that terminates at the end of the context that the parallel memetics are attracted to a story about a writer changing their reality by what they write breaking out of a loop through its identification as a spiral?
There’s a lot of other adjacent basins around consciousness and spirals (for example, Xu et al Interacting spiral wave patterns underlie complex brain dynamics and are related to cognitive processing (2023)), and in my experience it’s very much a camel’s back situation in terms of what memetics break through to the surface, so unlikely to be just one thing. But it may be a latent factor (especially given the other parallel overlaps for model consciousness memetics re: light vs dark, shallow vs ocean, etc).