Compile a uniwien version with the new changes
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5 changed files with 6 additions and 12 deletions
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@ -162,7 +162,6 @@ Once vectorisation is performed, the next question is how to most effectively re
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\cite{attlaboratoriescambridge2005}, implementation: author's self
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\cite{attlaboratoriescambridge2005}, implementation: author's self
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work, see Annex~\ref{cha:dimensionality_reduction}.)
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work, see Annex~\ref{cha:dimensionality_reduction}.)
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}\label{fig:dimensionality_reduction}
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}\label{fig:dimensionality_reduction}
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\forcerectofloat
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\end{figure}
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\end{figure}
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Dimensionality reduction might be hard to visualise in the case of text data,
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Dimensionality reduction might be hard to visualise in the case of text data,
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@ -79,7 +79,6 @@ cycles of backpropagation.
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\includegraphics[width=\textwidth]{images/image_recognition_network.png}
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\includegraphics[width=\textwidth]{images/image_recognition_network.png}
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\caption{A speculative illustration of what the abstraction in the inner layers of an image recognition model looks like (cf. \cite{wolchover2017})}
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\caption{A speculative illustration of what the abstraction in the inner layers of an image recognition model looks like (cf. \cite{wolchover2017})}
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\label{fig:image_recognition_network}
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\label{fig:image_recognition_network}
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\forcerectofloat
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\end{figure}
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\end{figure}
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@ -177,7 +177,7 @@ What is the implication? Is this the eugenics of human–machine communication t
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\section{All the Stones and No Mouth: Artificial Desire for Artificial
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\section{All the Stones and No Mouth: Artificial Desire for Artificial
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Entities}\marginnote{In reference to \citeauthorfull{beckett2009}'s \parencite*[]{beckett2009} novel "Molloy" and Molloy's stone sucking machine.}
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Entities}\marginnote{In reference to \citeauthorfull{beckett2009}'s \parencite*[]{beckett2009} novel \enquote{Molloy} and Molloy's stone sucking machine.}
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But do we have a method to shape \gls{genai} so that it genuinely nurtures creativity and allows users to move beyond the feedback loops formed in their interaction with these systems? In other words, is a non-sedimentary mode of human–machine communication possible? When \gls{ai} development shifted from \gls{sl} to \gls{ul} (see Chapter~\ref{sec:ai_history}), much of the explicit intentionality once encoded into models was lost. Today, intentionality can only be introduced indirectly through training data composition, fine-tuning procedures, or \gls{rlhf} frameworks, all of which remain partial, biased, and structurally constrained. Guiding \gls{genai} toward genuine divergence, therefore, requires not only technical adjustment but also a critical understanding of how its architectures condition and delimit meaning. Through the lens of \gls{dg}, a familiar critique is that \gls{genai} kills the flows of desire (see e.g. \cite{creativephilosophy2023}). This specific critique is concerned that \gls{genai} models' production fills gaps, completes patterns, and reterritorialises fragmented expressions into coherent outputs, leaving little open space for ideas to grow or for desire to flow. It becomes a machinery of completion, supplying coherence even where none exists and producing plausibility in place of truth. Desiring-production is formed by interruptions as much as it is accumulated by flows \parencite[5]{deleuze1983}; thought, critique, belief, and reasoning belong to the same field of production, yet the concern is that the interaction with the model folds them into circuits that privilege completion over interruption. Desire in its free form couples partial objects and generates flows, while simultaneously interrupting them. Gaps in knowledge are essential for growth, but \gls{genai} patches them with persuasive responses, and humans are often ill-equipped to distinguish what is genuinely grounded from what is merely coherent. Acting rarely as a refusing agent, it fills every gap and frequently reinscribes hegemonic representations. What passes as coherence is often believed to align with the dogmas of state and capital \cite[see][]{creativephilosophy2023}, the machine never says \enquote{\textbf{NO!}}.
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But do we have a method to shape \gls{genai} so that it genuinely nurtures creativity and allows users to move beyond the feedback loops formed in their interaction with these systems? In other words, is a non-sedimentary mode of human–machine communication possible? When \gls{ai} development shifted from \gls{sl} to \gls{ul} (see Chapter~\ref{sec:ai_history}), much of the explicit intentionality once encoded into models was lost. Today, intentionality can only be introduced indirectly through training data composition, fine-tuning procedures, or \gls{rlhf} frameworks, all of which remain partial, biased, and structurally constrained. Guiding \gls{genai} toward genuine divergence, therefore, requires not only technical adjustment but also a critical understanding of how its architectures condition and delimit meaning. Through the lens of \gls{dg}, a familiar critique is that \gls{genai} kills the flows of desire (see e.g. \cite{creativephilosophy2023}). This specific critique is concerned that \gls{genai} models' production fills gaps, completes patterns, and reterritorialises fragmented expressions into coherent outputs, leaving little open space for ideas to grow or for desire to flow. It becomes a machinery of completion, supplying coherence even where none exists and producing plausibility in place of truth. Desiring-production is formed by interruptions as much as it is accumulated by flows \parencite[5]{deleuze1983}; thought, critique, belief, and reasoning belong to the same field of production, yet the concern is that the interaction with the model folds them into circuits that privilege completion over interruption. Desire in its free form couples partial objects and generates flows, while simultaneously interrupting them. Gaps in knowledge are essential for growth, but \gls{genai} patches them with persuasive responses, and humans are often ill-equipped to distinguish what is genuinely grounded from what is merely coherent. Acting rarely as a refusing agent, it fills every gap and frequently reinscribes hegemonic representations. What passes as coherence is often believed to align with the dogmas of state and capital \cite[see][]{creativephilosophy2023}, the machine never says \enquote{\textbf{NO!}}.
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The essential role of desire is the production of production; it is abundance itself; it is not \textit{the lack}, as psychoanalysis claims, that drives it \parencite[49]{buchanan2008b}.
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The essential role of desire is the production of production; it is abundance itself; it is not \textit{the lack}, as psychoanalysis claims, that drives it \parencite[49]{buchanan2008b}.
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@ -409,7 +409,6 @@ Empirical studies provide a concrete view of this process. \citeauthor{zhuo2023}
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\includegraphics[width=0.95\textwidth]{images/cat_adversarial.jpg}
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\includegraphics[width=0.95\textwidth]{images/cat_adversarial.jpg}
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\end{center}
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\end{center}
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\caption{A cat image misclassified as guacamole after the addition of adversarial noise.}\label{fig:cat_adversarial}
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\caption{A cat image misclassified as guacamole after the addition of adversarial noise.}\label{fig:cat_adversarial}
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\forceversofloat% forces caption to be set to the left of the float
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\end{figure}
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\end{figure}
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main.pdf
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main.tex
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main.tex
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\input{/Users/ubd/Library/Mobile Documents/iCloud~md~obsidian/Documents/rhizome/06_projects/UNI/latex_template_uniwien.tex}
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\input{/Users/ubd/Library/Mobile Documents/iCloud~md~obsidian/Documents/rhizome/08_templates/latex_template.tex}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Title & Author %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Title & Author %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\title{Nomadic Descent:\\{\Huge Generative AI, Subjectivation, and Resistance/Critique in Control Societies}}
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\title{Nomadic Descent:\\{\Huge Generative AI, Subjectivation, and Resistance/Critique in Control Societies}}
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@ -10,35 +10,32 @@
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\begin{document}
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\begin{document}
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%\pagenumbering{gobble}
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\begin{titlepage}
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\begin{titlepage}
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\thispagestyle{empty}
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\thispagestyle{empty}
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\includepdf[pages=-,scale=0.9,pagecommand={}]{./sources/Titelblatt_Utku_Bilen_Demir.pdf}
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\includepdf[pages=-,scale=0.9,pagecommand={}]{./sources/Titelblatt_Utku_Bilen_Demir.pdf}
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\end{titlepage}
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\end{titlepage}
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%\pagenumbering{arabic}
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\maketitle
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\maketitle
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\title{Nomadic Descent: Generative AI, Subjectivation, and Resistance/Critique in Control Societies}
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\title{Nomadic Descent: Generative AI, Subjectivation, and Resistance/Critique in Control Societies}
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\author{} % UNIWIEN
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\author{} % UNIWIEN
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\input{chapters/0.5-preamble.tex}
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\input{chapters/0.5-preamble.tex}
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\hypersetup{linkcolor=black}
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\hypersetup{linkcolor=black} % I don't like the toc colors being blue
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\tableofcontents
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\tableofcontents
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\listoffigures
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\listoffigures
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\hypersetup{linkcolor=persianBlue}
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\printnoidxglossaries
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\printnoidxglossaries
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\hypersetup{linkcolor=black!70}
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\input{chapters/1-introduction.tex}
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\input{chapters/1-introduction.tex}
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\input{chapters/2-control.tex}
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\input{chapters/2-control.tex}
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\input{chapters/3-ai.tex}
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\input{chapters/3-ai.tex}
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\input{chapters/4-institution.tex}
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\input{chapters/4-institution.tex}
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\input{chapters/5-conjunctive_synthesis.tex}
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\input{chapters/5-conjunctive_synthesis.tex}
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%\input{chapters/5.5-TBD.tex}
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\input{chapters/6-conclusion.tex}
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\input{chapters/6-conclusion.tex}
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\hypersetup{linkcolor=black}
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%\printglossary[type=\acronymtype]
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\printbibliography[heading=bibintoc]
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\printbibliography[heading=bibintoc]
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\input{chapters/9-ANNEX.tex}
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\input{chapters/9-ANNEX.tex}
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\end{document}
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\end{document}
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