A simple path forward, is to go from classifying single elements of training data, to classifying multiple elements and their relationship in the training data.

Training data already has multiple labels.

Slightly less simple, is to gather orders of magnitude more data, by just hooking the input to an IRL robot.

An entire point of the paper and video is that massive increases in training set size are showing diminishing returns.

Another step, is for the NN to control the robot and decide which parts of the data require refinement, and focus on that.

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