Potential is the domain of uncertainty. Potential collapses as state through resolve. Mitigation is any negotiation between potential and resolve. (Naturally p

Potential is the domain of uncertainty. Potential collapses as state through resolve. Mitigation is any negotiation between potential and resolve. (Naturally potential resolves to some state, whatever it may be, intelligence is altering disposition such that the state may be directed or discerned. > To give an example That is how it is the same, not different. Learning is further dispositioning, and there are presumably infinite variations of how this may be so, thus learning to learn is an intelligence, and so is learning chess, and so is learning to learn chess, and so on. Creativity is something else which couples with intelligence. Achieving novel disposition? Creative includes artful failures of intelligence. We shouldn’t put the burden of every expectation upon intelligence. > In contrast “Reading all existing” is removing uncertainty (a definition of INFORMATION[1], though I know you will not let me rewrite modern information theory in this short post.) “develop new” is certainly mitigation as what would be their purpose? And PROVING them is exactly mitigation. These are merely folds in a recursive process. The difference between modern AI and True Intelligence is that modern ML is feature programmed statical automation. Indexing brute force variations; choosing the highest statistical match, with a splash of random for character. It is the programmer who was intelligent, the AI is a statistical automation tool. [1] Information is the removal of uncertainty, if it does not remove uncertainty (distributed potential toward resolve) it is not information. In this view, state is certainty, and in abstract non-terminal domains true certainty is impossible, one may only be less uncertain and make the best weighted selection possible. > it still leaves a lot of questions unanswered No doubt!