Rendering Is Not Yet Running: A Review of Mamun's "A Deep Anatomical Review of Neural Computers: Architecture, Information Geometry, and Philosophical Foundations (Vol-I)"

This review examines Dr. Syed Muntasir Mamun’s “A Deep Anatomical Review of Neural Computers: Architecture, Information Geometry, and Philosophical Foundations (Vol-I)” (2026). The paper reviews the Neural Computer (NC) paradigm proposed by Zhuge, Schmidhuber and colleagues (2026), in which computation, memory and input/output are unified in a single learned runtime state, and examines its prototypes, built on a video diffusion transformer, for command-line and graphical interfaces. It then adds two layers of its own: an interpretation of NC dynamics through information geometry, and a philosophical reading drawing on Peirce, Papert and Heidegger. This review identifies three strengths: a clear and faithful exposition of a complex architecture; candid reporting of the paradigm’s limitations; and an ambitious interdisciplinary interpretation. It then raises four points for further discussion: attribution of the underlying research; framing the information-geometric account as hypothesis rather than established mechanism; calibrating some claims to the evidence; and the balance of sources. It closes with broader implications for how emerging AI architectures are reviewed and communicated.