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Dreaming Robots: How Sleep, Dreams, and AI Converge to Retrain Models
Humans dream as part of a natural process for consolidating memories, processing emotions, and, some speculate, rehearsing survival skills. But what if robots could dream? Could AI, by mimicking this human function, learn from its own experiences in ways that go beyond current capabilities? In this article, we’ll explore how the human dreaming process can be analogized to AI model training and how this concept could be applied to robots, allowing them to refine their models through daily experiences and simulations.
The Purpose of Dreams: Human Internal Training
Dreams serve as a playground for the brain to simulate, process, and integrate the experiences of the day. Some psychologists suggest that dreaming helps consolidate memories, while others believe it allows the mind to run through scenarios, making sense of unresolved emotions or practicing for potential future challenges.
In this context, dreams can be seen as our brain’s way of retraining itself. It gathers inputs (memories, emotions, experiences), runs through a variety of simulated scenarios, and tries to output new understandings or solutions. This mirrors the iterative learning process that occurs in machine learning.
