Clothes

Clothes are removable fur

Scientists and technologists are not the same

Regardless of the blurring in science fiction movies, entrepreneur and scientists have very different roles. The entrepreneur finds the surface between what is marketable and what is not. Technologies must be easily built and integrated into use rapidly for the company to make money and survive. Technology might be new but likely the concepts were developed earlier, perhaps by earlier science. The scientists work on more distant technologies at the surface between what is discoverable and what is not, often funded by money gleaned from highly successful businesses (that were perhaps started earlier by entrepreneurs).

Emotions

Emotions are old (encoded into dna over millions of years) and thoughts are new (in brain recently) but all are rational.

Spirituality definition

Spirituality is the involuntary observation of everything and what effect you're having on it. Nature's invention of spirituality lets an individual human observe the whole and determine if he or she is contributing. One might say most animals don't have this, or maybe in some cases like ants, it's all they have. All of the ants actions are for the sake of a greater community are hardly any are motivated by the individual ant.

Why deep learning image recognition alone won't generate artificial intelligence and what will

Deep learning based image recognition (of cat for example) in an image is a major accomplishment for AI but that classifier won't create intelligence like a human. It may generate a pattern recognizer that equals or surpasses human ability, but not something like human intelligence. If we want a machine to learn intelligence, we probably need to make the system learn in steps similar the the way human evolved. First create a system that has an agenda (we evolved that as worms looking for food). Then, incrementally evolve a system for motion (limb control to find food). Then evolve abilities to reason and interact with the environment to accomplish the agenda more effectively. Then evolve advanced communication skills. Each one of these is a complex learning task that evolution optimized through genetics, but we would want to optimize them through some learning process like simulated annealing or some genetic algorithm. The point is that the intelligent system needs to learn first how to have an agenda, not just a recognition task. Then it will begin to be more "alive" and interactive in interesting ways.