Talked to somebody who is really into chatbot roleplay (of the ‘longer term stories with new fantasy characters’ type), and he mentioned that he needs to take his characters stories and archetypes to different models every now and then as a sort of refresh, as the models tend to eventually converge into certain stuck patterns. First clue of this seems to be that the replies seem to start to become a similar pattern of text organization. Sorry if this is vague as it is second hand, but the main point is, text based LLMs prob also do this.

so after putting together text to image and image to text idiot boxes, there appears to be small number of approximate sort of eigenvalues in there. does that even mean anything or has any consequences?

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sports and action imagery (cluster 0), formal interior spaces (cluster 1), maritime lighthouse scenes (cluster 2), urban night scenes with atmospheric lighting (cluster 3), gothic cathedral interiors (cluster 4), pompous interior design (cluster 5), industrial and vintage themes (cluster 6), rustic architectural spaces (cluster 7), domestic scenes and food imagery (cluster 8), palatial interiors with ornate architecture (cluster 9), pastoral and village scenes (cluster 10), and natural landscapes and animals with dramatic lighting (cluster 11).

Revealed: World’s shittiest “tag yourself” meme