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I don't know how common it is, but I tend to read novels in a buttered heterogeneous multithreading mode - image and logical and emotional readings all go at each their own paces, rather than a singular OCR engine feeding them all with 1D text

is that crazy? I'm not buying it is

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That description feels relatable to me. Maybe buffered more than buttered, in my case ;)

It seems to me that would be a tick in the “pro” column for this idea of using pixels (or contours, a la JPEG) as the models’ fundamental stimulus to train against (as opposed to textual tokens). Isn’t there a comparison to be drawn between the “threads” you describe here, and the multi-headed attention mechanisms (or whatever it is) that the LLM models use to weigh associations at various distances between tokens?

Don't know, probably? I'm a linear reader

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