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room two illustrates how ai, despite not being perfect, can make a difference. through the relatively inaccurate conversion of text into images, an tangling output is created that gives people further room for interpretation, which varies from person to person.
an analogy to the firstness secondness and thirdness of max bense is shown by the level of interpretations of the ai.

the firstness: that what it is, as it is without reference to something else (the color black). the terms corresponding to it are quality, absoluteness, originality, coincidence, possibility, form, sensation.

the secondness: that which is as it is, but to a reference to something else (black car paint). the terms corresponding to this are dyadic relation, action, existence, opposition, resistance.

the thirdness: that which is as it is, so that it relates a first and second (my black car). the terms corresponding to it are mediation, representation, generality, regularity, continuity.

the possibility of an unambiguous interpretation of the output was almost completely taken away from the human being, because the ai broke down the output to a very subtle level.
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in addition, the free environment without any reference to something manifest, like a visible processing of the in- and output, in which the human can move freely and interact, created a neutral feeling. the ai was neither superior nor foolish, it just followed its program.

the result of the two projects (semiotic spaces one and two) ends in a neutral yet critical view of ai. an ai does not make any mistakes, they are only interpreted as such, it is up to us how we deal with it and more important what we learn through it.
semiotic spaces two