LLMs use the Transformer architecture, which incorporates a self-attention mechanism. I am leaving it relatively open as to what should be considered a "self-reflection" type of mechanism, but note that traditional feed-forward networks would not be considered to incorporate anything that mimics "self-reflection."

If there is a new architectural breakthrough in neural networks that occurs before 2030, will that architecture utilize a new style of self-reflection in its design?