If I understand the drawbacks to this correctly: 1) Each person's brain signals have to be trained separately -- there is no universal model 2) The set of tra

If I understand the drawbacks to this correctly: 1) Each person's brain signals have to be trained separately -- there is no universal model 2) The set of trained images is small (e.g. 50) so five bits of information is enough to specify which image the person is thinking of... it is not really the AI imagining the image from scratch but an interpolated set of those 50 images diffused together. If my understanding is correct, the use case of this is very limited if the bits retrieved is really around five. Underwhelming.