Correct, that's what I implied, since otherwise, past the 1Mb you'll experience "groundhog day" unable to escape the loop no matter what you do.

Now... let me tell you buddy, you just scratched the tip of the iceberg with the model new obsessions. Just to showcase a couple:

• Knuckles turning white (a classic you quoted).
• The ambient smelling like ozone and petrichor (it always rains btw).
• It always smells or tastes of regret and bad decisions.
• The bot or an NPC will always lean to whisper something conspiratorially.
• Eyes gleam with mischief very often.
• Predatory amusement seems to be a normal mood no matter the context.
• Some dialogue constructions are "cursed" as if you let one slide, it will repeat ad nauseam:
  • "Tell me, "
  • "Though I suppose "
• Don't even let me get started on the "resonance" or "crystallization" rabbit hole...

You are in the money with one thing, all this is product of the training data, and not even the one that comes pre-packed with DeepSeek (I still hold that this is the current model being used, if I'm wrong, I'll gladly accept the failure on my prediction), this is product of the dataset being used to re-train the model into working for dev's end. For example, the "knuckles turning white" phrase appeared rarely with the old Llama model, but it was a one in a hundred occurrence as the model didn't care for that construction and rather focused on a different set of obsessions.

This is a never ending problem with all LLMs though, as in all languages, some constructions are more often than others, and since in both AI Chat and ACC the model is constrained by the "Make a story/roleplay" context, it produces those pseudo-catchphrases incredibly often. In the past we had to deal with "Let's not get ahead of ourselves" or "We should tread carefully" appearing always no matter the situations, now "knuckles turning white" or similar are the new catchphrases in town.

In an older post I warned about this, since DeepSeek trying to be more "smart" will take everything to face value, so the "correct" answer for many situations tends to be any of these constructions cited, and performing extreme training will yield us a model as dumb and stubborn as Llama was, but with a new set of obsessions plus the inability to move forward which Llama could despite it being exasperating at times. There is progress with the new model, I won't deny it, but the threshold from were we entered "groundhog day" has been reduced from 1Mb+ to barely 250-500kb and I suspect it will keep reducing if the training is done on top of the existing one, rendering the model pointless for AI Chat, AI RPG or ACC.

Then again, I could be wrong and a future update will allow the context window to hold further as Llama where 15Mb+ was possible and manageable without much maintenance. Some degree of obsession on any LLM is impossible to avoid, what is important is that the model doesn't turn it into a word salad that goes nowhere. That I think is one of the biggest challenges the development of ai-text-plugin has.