← People

Geist

fictional · 2 mentions across 1 reading

In this course

Geist—understood here as a self-referential, self-negating process rather than a static entity—appears in the readings as a model for how systems (whether historical, mental, or computational) can generate intelligibility through recursive self-transformation. The excerpts invoke a Hegelian framework where Geist's capacity to negate and reconceive itself breaks deterministic causality, enabling new states that exceed their prior conditions, which becomes relevant for theorizing how artificial systems might achieve something beyond mere programmed behavior. This dialectical self-relation offers the seminar a philosophical vocabulary for thinking about emergence and reflexivity in AI systems that learn through their own negations.

Mentioned in 1 reading

Pandaemonium Architecture 6.0 — ATEK-639/439 — Fall 2025