The widely anticipated revolution in biology, driven by the superpowers of GAI, has been slow to materialize. In this talk, we will discuss the concept, the obstacles, and examine two specific projects involving language and image analysis. The first case study involves extracting information from a specific type of biological literature—lifespan extension under pharmacological perturbation—where we aim to agglomerate experimental parameters over extensive body of published literature and automatically review and assess the quality of emerging studies in that context. The second project focuses on image analysis using a novel imaging technique, Stimulated Raman Microscopy, to characterize protein and lipid remodeling in various organs and tissues, to detect changes in a nested hierarchy of repetitive elements of tissue architectures and elucidate changes reflecting sex specificity, aging, and disease. We will anticipate what will be needed for a productive man-machine symbiosis to emerge in systems biology.