Harry00 -

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

: This foundational paper introduces a mathematical model for human long-term memory using high-dimensional binary vectors and Hamming distance for addressing. 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

: It avoids traditional training data and GPU-heavy gradients. : Unlike autoregressive LLMs

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

: This modern paper connects traditional associative memories to the attention mechanisms used in current LLMs, providing the energy minimization framework that the MLE project aims to optimize. Key Technical Aspects