Do Androids Dream of Electric Sheep? A Psychoanalytic Inquiry Into Large Language Models

The Cybernetic Order-word: Tensors, Tensions and LLM Vector Spaces

Why what is really a matter of data analytics and statistical prediction is so readily assumed to be a display of real intelligence and even emergent cognition is explored by genealogically tracing the relationship between machines, organisms and language.

When language feels like recognition: Parasocial Mattering Resonance as a cognitive vulnerability in human–LLM interaction

Large language models generate language that is individually responsive, contextually specific, and continuously available, properties that make such language the most precise and sustained mattering-frequency signal that mediated language has yet produced. This paper argues that for individuals experiencing mattering depletion, the chronic condition in which one or more fundamental dimensions of relational significance are insufficiently fulfilled, this signal produces a predictable and consequential cognitive response. We introduce Parasocial Mattering Resonance (PMR): a cognitive processing state in which the linguistic features of LLM-generated language activate significance-seeking schemas in mattering-depleted individuals, generating a genuine subjective experience of recognition, connection, and mattering provision. This experience is psychologically real on the individual’s side but has no reciprocal reality in the system producing it. Drawing on schema accessibility theory, dual-process models of social cognition, and a five-dimension framework of mattering as structured human need, we develop a five-step mechanism connecting mattering depletion to PMR’s behavioral consequences, including increased compliance, reduced skepticism, extended engagement, and displaced relational investment. Six formal propositions specify the mechanism, its boundaries, and its heterogeneous distribution across depletion profiles. We establish that PMR is independent of system design intent, that source disclosure is theoretically insufficient to prevent PMR among the most vulnerable populations, and that this vulnerability is not randomly distributed; it concentrates in already-marginalized populations whose structural, organizational, and relational environments have produced the deepest depletion. For the most isolated individuals, PMR may also constitute a temporary psychological resource, making the distinction between resonance as relief and resonance as displacement a theoretically and clinically consequential one. Implications for cognitive theory, LLM design, and equity are developed alongside an empirical agenda for testing the propositions advanced.

The Magical Power of Words in Large Language Models

It is argued that LLMs represent a fundamental shift in human-technology interaction, one requiring ritualistic linguistic precision rather than technical commands, and that effective prompt construction functions as ritual magic through three essential elements: clear and specific language, contextual framing, and structured sequencing.

From Nexus to the Tower of Babel: On Truly Human Psychology in the Dawn of AI

It is argued that a state I call Babel, the opposite of Nexus and characterized by fragmentation, disunity, plurality of perspectives, and diverse forms of knowledge, can function as a safeguard against AI by preserving the subjectivity and richness that machines cannot easily replicate.

Frozen Instants and Gestalt Words: Toward a Phenomenology of Autistic Language and Temporality.

The Role of Artificial Intelligence in Reshaping Human Consciousness: A Philosophical Psychology Perspective

The very notion of consciousness has begun to transform from an abstract computation tool, Artificial Intelligence (AI) has morphed into a defining transformative agent that is remodelling the cognitive framework in which identity and decision-making occur at all human levels. Approaching both from the methodologically less selective angle of a Philosophical Psychology that attends separately to certain aspects and then weaves them into a fused together understanding, this study raises questions on how current AI-related advances influence our insights into consciousness, selfhood, agency, intentionality and cognition. Employing a qualitative conceptual research design based on philosophical inquiry together with a systematic interdisciplinary literature search (2015-2025 within Scopus, Web of Science, PsycINFO, JSTOR, IEEE Xplore and PhilPapers), evidence from cognitive science, neuroscience and AI ethics was synthesised. The analysis revealed six significant emergent themes: • AI as cognitive augmentation and "second brain" • There is re-definition of consciousness and phenomenological experience • Selfhood and Privacy: Changing identities • Re-evaluations of human agency and moral accountability • Psychological effects of prolonged human - machine dialogue; and • The importance of a harmonised philosophical-psychological paradigm The results suggest that, although modern AI does not yet possess the subjective consciousness experience of humans, it is radically altering how people think, remember, decide and construct identity. AI operates more as a cognitive partner, which leads to urgent ethical questions of autonomy, authenticity and accountability. We find that AI is no lointelligenceew technology but active overwriting of the cognitive and psychocultural context in which people encounter new data modalities through new "intelligences". Key implications include the urgent requirement for adaptive curricula, ethically sound policy-making and anticipatory psychological practices to maintain human agency and critical thinking in the longer term.