Harry00 [2026 Release]

: Unlike autoregressive LLMs, it uses energy minimization to "reason" through problems.

: It avoids traditional training data and GPU-heavy gradients. harry00

: This work details how to perform "binding" of information (connecting concepts) using circular convolution, a technique Harry00 utilizes for bitwise reasoning without standard backpropagation. : Unlike autoregressive LLMs, it uses energy minimization

The MLE-Morpho-Logic-Engine is built on several landmark papers in neural computing and vector logic: : Unlike autoregressive LLMs