A new paper published on arXiv introduces the 'Efficiency Attenuation Phenomenon,' presenting computational evidence that undermines the Language of Thought Hypothesis — a foundational cognitive science framework suggesting the mind operates via a symbolic mental language. The research argues that systems built on such symbolic logic face inherent computational costs that scale poorly, posing a structural challenge to a key theoretical pillar of classical AI. No benchmark figures are cited in the abstract, but the authors frame the finding as a formal computational challenge rather than an empirical one.