The contribution aims to examine the co-implications between Serres’work and posthumanist ideas of body and subjectivity.This scope is pursued primarily through the methodological choice of a gerund,such as silencing...The contribution aims to examine the co-implications between Serres’work and posthumanist ideas of body and subjectivity.This scope is pursued primarily through the methodological choice of a gerund,such as silencing,and the harnessing of its performative,processual,and relational value.Building on Serres’conception of silence as a dilation of the me the paper will follow Serresian anti-Cartesian reflections on the interchangeability of subject and object,his conception of the pre-positional body,and his thematization of the soul-body relationship.In close inter-implication with the employment of silencing is then the choice,again as a methodological device,of the preposition trans,made to act in order to explore the affinities/overlaps/assonances between Serres’theorization of the body,dimension of the human,and posthumanist conceptions of body/subjectivity.展开更多
This paper examines how generative artificial intelligence transforms music creation,music mapping,and conceptionsof musical space within a posthuman paradigm.As systems such as Suno dissolve the boundary between huma...This paper examines how generative artificial intelligence transforms music creation,music mapping,and conceptionsof musical space within a posthuman paradigm.As systems such as Suno dissolve the boundary between human and machinecreativity,the traditional human-centered model of musical authorship becomes destabilized.Generative AI not only lowers thetechnical threshold for musical production but also introduces a probabilistic,non-linear mode of generation in which symbolicnotation,performer mediation,and stable structural anchoring are no longer required.This shift produces a new form ofsubjectivity—distributed across humans,algorithms,and data—and redefines the pathways through which musical meaning isconstructed.The paper further argues that AI-based music mapping constitutes a new epistemic turn.Human perceptualcomplexity is reduced into textual prompts,forming anchor points that the algorithm expands,reorganizes,or collapses throughstochastic processes.Drawing on quantum concepts such as superposition and collapse,the study conceptualizes AI-generatedmusical space as a dynamic,multi-dimensional system moving through pre-generation,input,and generative phases.Each phasereflects shifting states of possibility and constraint,resulting in musical outcomes that are both unique and situated within abroader field of latent potential.This framework reveals how generative AI reshapes not only musical space but also thecognitive and phenomenological foundations of music creation.展开更多
文摘The contribution aims to examine the co-implications between Serres’work and posthumanist ideas of body and subjectivity.This scope is pursued primarily through the methodological choice of a gerund,such as silencing,and the harnessing of its performative,processual,and relational value.Building on Serres’conception of silence as a dilation of the me the paper will follow Serresian anti-Cartesian reflections on the interchangeability of subject and object,his conception of the pre-positional body,and his thematization of the soul-body relationship.In close inter-implication with the employment of silencing is then the choice,again as a methodological device,of the preposition trans,made to act in order to explore the affinities/overlaps/assonances between Serres’theorization of the body,dimension of the human,and posthumanist conceptions of body/subjectivity.
文摘This paper examines how generative artificial intelligence transforms music creation,music mapping,and conceptionsof musical space within a posthuman paradigm.As systems such as Suno dissolve the boundary between human and machinecreativity,the traditional human-centered model of musical authorship becomes destabilized.Generative AI not only lowers thetechnical threshold for musical production but also introduces a probabilistic,non-linear mode of generation in which symbolicnotation,performer mediation,and stable structural anchoring are no longer required.This shift produces a new form ofsubjectivity—distributed across humans,algorithms,and data—and redefines the pathways through which musical meaning isconstructed.The paper further argues that AI-based music mapping constitutes a new epistemic turn.Human perceptualcomplexity is reduced into textual prompts,forming anchor points that the algorithm expands,reorganizes,or collapses throughstochastic processes.Drawing on quantum concepts such as superposition and collapse,the study conceptualizes AI-generatedmusical space as a dynamic,multi-dimensional system moving through pre-generation,input,and generative phases.Each phasereflects shifting states of possibility and constraint,resulting in musical outcomes that are both unique and situated within abroader field of latent potential.This framework reveals how generative AI reshapes not only musical space but also thecognitive and phenomenological foundations of music creation.
