A full immersion into the virtual world of a molecular system with seamless integration of fellow researchers will boost research and education. This seamless integration is also a necessary condition to promote instantaneous computing, i.e., the fact that the computing time for some problem has been constantly shrinking over the years up to the point where starting a calculation and receiving its results can no longer be separated on the time scale of human perception, which is 60 milliseconds for vision and 1 millisecond for our sense of touch. It will be necessary to accomplish an ultimate integrated hard-and software implementation of the perfect immersion of a human researcher into the molecular world. Coming back to Dirac's quote from 1929, which ends "... without too much computation.", we need to rewrite this into "... by immediate and interactive computation." to meet the demands of the time to come. 6. The Machine and Human Molecular Representation Learning Challenge. The natural representation of molecules from the point of view of quantum information theory is the content of a full quantum tomography experiment for their wave function or a quantum process tomography to explore their dynamical processes . The wave function contains too much information to be processed by a human brain. The opposite side of the spectrum of chemical understanding lies in the stick diagrams and arrow pushing conceptual representations of molecules that have led to several advances in the field of organic chemistry. In-between, ideas such as the Woodward-Hoffmann rules or frontier orbital theory. As we advance in our program of machine learning and automation, the question of representation learning will arise. In the field of machine learning, this pertains to finding the representation of the molecular data that the machine can learn from. From the other side of the spectrum, a human grasps to concepts that help her or him make rational decisions. We hope that in the future, humans and machines meet in the middle. Emerging conceptual breakthroughs in chemistry may arise from humans training their computer helpers, and the computer helpers, in return, providing the raw source of inspiration to elaborate new concepts.