Hybrid AI-Human mind control

Currently AI is a data driven model that is supposedly fixed in nature after learning, but highly complex. When trained, an AI can be used to say control a set of actuators, say in shape of a robotic arm. However, we nowadays usually provide the input as text to the AI, mostly LLMs, and wait for output, but models can ofc. be trained to output some other signals such as actuator signal parameters, or signals themselves which can be driven through actuators. However, another set of inputs can directly be linked to neuronal activity. One non-invasive way is to use EEG, invasive way would be to direcly link the neuronal synapses and have an output connecting to artificial neural network in some form of data stream, which works both ways. But in case of using EEG, activity signals are highly simplified from what they are, but perhaps increasing resolution could make it a little better, however, precise activity in the brain would still be inside. But it would be non-invasive tradeoff. So EEG connected as input to AI neural network of LLMs which can be used to control a set of actuators can form one of those cybernetics control devices.

So use of such technology would be such that, usually AI would be working on its own , but when human wants to intervene, it will do via brain interface to control or edit things, then AI can take over, or human can keep on continuing its action. So in a way both human and AI will control the system, but say when human falls asleep, the AI will take over and will do its best.