[JulianMorrison]

> All training algorithms, supervised, unsupervised or reinforcement learning with LSTM rely on the assumption that there is an "utility function" imposed by some external entity. Problem is, by doing so, we are taking away their capacity [of the machines] to make questions and create meaning.

It's just a simplification. We are consuming the algorithm's output, rather than it being for internal consumption in a larger mind. So we supply the goal, where in a larger more natural mind the goal comes from other parts of the mind - still computing ultimately against a fixed utility function. That function being our human instinctual basis and the "firmware" of culture it's primed to load.