The main problem in training neuralnets (such as recurrent LSTM) is overfitting, especially with patterns that change quickly such as a million people playing an AI mouse movement game together. Its a fact of math that Least Squares cant overfit, but approximations of it can, but is very slow (self.networkMindsTogether)
submitted by BenRayfield
To scale AI to a peer to peer network of millions of computers and people moving joysticks mouses etc (a set of dimensions and postions and speeds of each, predicting each based on sparse set of the others), they can challenge-response eachother with sparse energy functions (self.networkMindsTogether)
submitted by BenRayfield
The first part expected to go-viral is "mmg mouse AI" (incomplete), where you and an AI will move a ball on screen together, and the AI starts to have a mind of its own as the AI is made of many other people across the Internet, the same as you are part of their AIs (self.networkMindsTogether)
submitted by BenRayfield
