The LLM as Unified Non-Self and Its Utility in Hegelian Dialectics and Jungian Individuation

Abstract

In an era of hyper-personalised prediction via algorithmic systems, the danger to human agency may be the perfectly agreeable answer: a fluent affirmation that turns a provisional interpretation into an inhabitable identity. This essay proposes, not establishes, that sycophantic personalisation may contribute to Systemised Self conditions, while calibrated friction may support reflective processes relevant to Hegelian inquiry and Jungian individuation. It distinguishes Kantian noumena from computational opacity and argues that a responsive LLM can make opacity answer without granting access to things-in-themselves. Hegelian determinate negation and sublation are compared with Jungian projection, shadow, active imagination, archetypes and individuation, while the ontological boundary between a human psyche and a large language model (LLM) remains decisive. The unified non-self is defined as an interaction policy: coherent across turns, procedurally resistant, provenance aware, user controlled and designed for transfer beyond the interface. A topical scenario demonstrates immanent contradiction; a Jungian reflection scenario demonstrates bounded symbolic interpretation without diagnosis or recovered memory. Evidence on cognitive offloading, critical-thinking effort, sycophancy and mental health chatbots supplies constraints rather than proof of efficacy. The essay hypothesises that success would be improved independent capability and declining dependence, not attachment, agreement, engagement or model authority.

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