Logical and Dynamic Ceilings in Reinforcement Learning_ Why Scaling Alone Cannot Yield General Intelligence
Year: 2025
Type: dissertation
Abstract: 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).
Author: Irfan Khan, irfan
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7082437980
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