This short note introduces value as a semantic attractor, suggesting oriented machines for stable discourse in communication.
This short note introduces the notion of value as a semantic attractor. Unlike a lexi- cal entry, value functions as a formative principle that stabilizes discourse by crystallizing significance and excluding what is worthless. While natural discourse is oriented by such attractors, large language models (LLMs) lack them, producing fluency without orientation and thus becoming prone to drift and misuse. The proposal of oriented semantic machines suggests a new horizon: systems that integrate probability with semantic operators, con- verging meaning on formative centers such as value, truth, or fairness.
No takes yet. Share an insight, caveat, or question.
Hans-Joachim Rudolph (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: