Category: LLM/AI
Unspooling of Human Linguistic Competency Under Sustained, Unconstrained LLM Use: A Multi-Spectrum Demonstration Test Across Education and Professional Domains
This paper proposes and operationalizes a testable theory—unspooling—defined as measurable, time-linked loss in language competence when people use large language models (LLMs) without LLM support. The theory makes specific claims about deterioration in both language production and language comprehension and encoding, with effects expected to be dose-dependent and accelerated by deeper patterns of use.
AI’s Consent Problem
The next great software transition could widen access to technological power. But if AI arrives as a tool imposed by a few companies, at the expense of workers and communities, the public may reject the bargain. Open-source AI offers a different future—if we keep it viable. A developer uses AI…
Automated Intelligence©: Why This Trajectory Is Ontologically Evil
The Automated Intelligence© industry is rapidly concentrating power, weakening labor, intensifying ecological risk, and feeding a manufactured nihilism that makes it harder for our species to act in its own survival interest—even as it delivers real productivity gains. 1. Labor: Undermining the Human Survival Substrate From an evolutionary view, human…
Two Retrolanguage Articles from 2025
(This is a two article set of data I intended to parse/edit into a single article, but I never got to it, so you get it as it sits.) The Hidden Crisis of Human Language Bias & Psychological Risk in LLM/AI The proliferation of large language models (LLMs) has sparked…