The Asymptotic Gap: Language Insufficiency and Generative AI

This segment introduces the Language Insufficiency Hypothesis, a philosophical framework asserting that words are structurally incapable of conveying precise meaning as conceptual complexity increases. The author, Bry Willis, proposes the Effectiveness–Complexity Gradient to map how communication stays stable for concrete objects but inevitably collapses when addressing abstract ideas like justice, freedom, or consciousness. This decline is driven by inherent linguistic flaws, such as arbitrariness and context-dependence, which create a presumption gap where speakers wrongly assume they are being understood. Practical case studies in law, politics, and science demonstrate that institutions often use power and authority to mandate definitions where language fails to provide them. Furthermore, experiments with Generative AI illustrate this theory, as machines mirror human communicative limits by failing to accurately translate complex visual descriptions into stable linguistic prompts. Ultimately, the text argues that absolute clarity is an illusion, suggesting that we must instead learn to manage the unavoidable gaps in our expression.👉 https://philosophics.blog/2024/11/08/the-insufficiency-of-language-meets-generative-ai/