Beyond the Transformer model, complex two-point neurons (TPNs) disregard external world inputs that conflict with internal world inputs on the fly, enabling a form of inference that is selective, creative, and strategic. This adaptive processing enhances the model’s capacity for critical thinking and nuanced reasoning. By continuously refining their understanding based on new contextually relevant information, TPNs may exemplify advanced computational models capable of mimicking human-like cognitive processes in language understanding and beyond.

Future, complex TPNs-inspired generative language models, configured to represent the state of wakeful thoughts, may demonstrate how TPNs can focus on relevant information within specific contexts while also being imaginative.