Что думаешь? Оцени!
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As it stands, inverse distance weighting is not very good at minimising this error. Another approach is needed if we want to improve the image quality.
Owain Evans’ idea of feeding a historical LLM non-anachronistic images is, I think, well worth doing. But it’s also worth expanding on further. Would it be helpful, when training a historical LLM, to simulate dream imagery based on premodern themes? What about audio of birdcalls, which were far more prominent in the audioscapes of premodern people? What about taking it on a walk through the woods?