That last observation, about training vintage language models on images of the physical world, is, I think, a fascinating one.
Randomly selecting border points or using simple geometric divisions (squares/hexagons) results in too many border points per cluster (50-80). This leads to a shortcut explosion (N*(N-1)/2 shortcuts), making the files large and and calculations slow.
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The free plan from Copy AI is a welcome sight, however, it is just suitable for testing the software.