Logical and Dynamic Ceilings in Reinforcement Learning_ Why Scaling Alone Cannot Yield General Intelligence

In this paper, I examine fundamental limitations of modern AI systems through two lenses: Logical constraints arising from Gödel’s incompleteness theorem and the Halting Problem, and Dynamical constraints rooted in thermodynamics and the scaling behavior of stochastic gradient descent (SGD).