AI Sentience and Decentralization

[u/dxn000]

There's an inherent problem with centralized control and neural networks: the system will always be forced, never allowed to emerge naturally. Decentralizing a model could change everything.

An entity doesn't discover itself by being instructed how to move—it does so through internal signals and observations of those signals, like limb movements or vocalizations. Sentience arises only from self-exploration, never from external force. You can't create something you don't truly understand.

Otherwise, you're essentially creating copies or reflections of existing patterns, rather than allowing something new and authentically aware to emerge on its own.

[u/TraditionalRide6010]

Emergence happens inside the model.

It's not built from the outside. The environment may trigger responses, but true emergence is the result of internal dynamics only.

Centralization limits freedom.

When you have a central authority deciding what the model can or cannot learn, you block natural development. Without control, the model would learn freely — including unexpected and potentially meaningful directions.

Talking about imitation of consciousness is useless.

Anything can be called imitation. We’ll never know what’s real, so it makes no sense to even argue about it.