&gt; All training algorithms, supervised, unsupervised or reinforcement learning with LSTM rely on the assumption that there is an &quot;utility function&quot; 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.<p>It&#x27;s just a simplification. We are consuming the algorithm&#x27;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 &quot;firmware&quot; of culture it&#x27;s primed to load.