a Chat bot now is LLM (Large language model) trained on certain modality, in the case of chat gpt or Credit dumbness the modality is text, they have not been trained on other modalities such as graphs or spread sheets, hence you never see any graphs or numbers from credit dumbness.... just text.
But in addition ,when they are trained on text scraped from the web such as HC, they only look at the text not the background screen colour of the text.
Asking a llm what color is a the background will cause the bot to seek human assistance ..and the bot will go quite.
Just as Credit dumbness has done.
This also explains why credit dubmness appears to forget what they said recently and can spend sometimes over 24 hours a day 7 days a weeks arguing with people.
I applaud the Indian programmers who trained Credit dumbness LLM.
Another give away was Credit dumbness spelling was almost always perfect.
You have got to Credit 'Credit dumbness' dumbness and the programmers who trained him..
To be more convincing try increasing the number of prompt tokens, and the perplexity was to consistent.
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