Why Do They All Converge? A Structural Analysis of Superintelligence Catastrophism through the E=mc Thought Principle

This paper examines why some of the most intellectually capable figures of our time — among them Geoffrey Hinton, Eliezer Yudkowsky, and Nick Land — converge on a structurally identical claim: that artificial intelligence will kill us all. The paper argues that this convergence is not accidental but is a structural symptom of what we term pre-AI-era epistemic authority, in which the capacity to produce clear, terminal answers functioned as the primary basis of intellectual legitimacy. Within the framework of the E=mc Thought Principle (Mayumi, 2026a), this pattern is diagnosed as the systematic external displacement of Δ (fluctuation) — the irreducible incomputable element within thought. The paper further examines mechanistic interpretability research, particularly Neel Nanda's conclusion that deeply understanding what AIs are thinking is beyond reach (Nanda, 2025), and proposes that what Nanda encountered without naming it is precisely Δ: the constitutive incomputability of any sufficiently complex thinking system. Finally, the paper demonstrates that this structural pattern was already identified in the work of Mayumi (2026i), where the same mechanism of Δ-suppression was described at the scale of aesthetic judgment. The isomorphism across scales — from art criticism to superintelligence catastrophism — constitutes evidence for the scale-invariant descriptive power of the E=mc Thought Principle. The paper argues that in the post-AI era, the capacity to hold Δ internally rather than externalize it as terminal answers becomes the decisive epistemic criterion. Keywords: Δ (fluctuation), E=mc Thought Principle, pre-AI era, post-AI era, mechanistic interpretability, superintelligence threat, epistemic authority, Geoffrey Hinton, Nick Land, Neel Nanda, Eliezer Yudkowsky