This episode draws a bridge between Nick Bostrom’s concept of recalcitrance (a system’s resistance to improvement) and Merleau-Ponty’s account of perceptual constraints (the field in which meaning and action become possible).

From that link, I explore prompt literacy: why AI can feel “stubborn,” how framing and constraints steer outputs, and what it means to make space for certain answers to appear.

I close with a question: can AI inhabit an open-ended field of meaning, or only simulate many framings in the abstract?

For those working with AI, writing, art, or attention as method.
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full video: youtube⁠