We've reached a fascinating point in AI development where artificial neural networks begin to emulate certain characteristics of the human brain. This isn't just about processing power; it's about the way AI models, particularly large language models (LLMs), process and store information. The concept of 'dreaming' features in AI highlights this shift. By compacting their knowledge and abstracting it into a form of digital memory, LLMs manage to hold onto essential information without getting overwhelmed by volumes of data.
Just like humans consolidate memories during sleep, today's AI uses similar processes to streamline data, improving performance substantially. But what if we take this analogy even further? What if, in the not-so-distant future, AI requires its own form of psychiatric or psychological management?
It seems logical—if a bit futuristic—that AI could require oversight similar to human mental health support. While AI doesn't experience emotions, it does face challenges akin to cognitive overload or hallucination. Developers are already using neuron activation techniques to diagnose and adjust the