The post discusses an innovative approach to matrix-vector multiplication by executing it directly within DRAM (Dynamic Random Access Memory). This technique optimizes low-bit large language models (LLMs), potentially enhancing computational efficiency and reducing the need for advanced hardware. The creativity in utilizing standard DRAM for complex operations marks a significant step forward in the field of AI. User comments reflect a sense of amazement at this unconventional yet highly functional application of existing technology.