The interview follows Mario, CEO of THE MINDKIND, dedicated to developing an explainable, neuroscience-inspired general AI or AGI, who describes both the current limitations of artificial intelligence and his commitment to biologically inspired, interpretable, causality-based architectures. He explains the complexity of replicating the human brain, the problems of “black box” models, and the importance of fully auditable systems. He also shares his daily work as a CEO, from technical and financial management to maintaining the scientific vision of the project. He describes how his AI learns through experiences in a virtual environment, building causal memory. He addresses issues of bias, safety, and ethics, as well as his personal trajectory and scientific vocation. Finally, he outlines his view of the future of general AI —moving away from massive statistical models— and reflects on the social impact and the need to learn by experimenting to prepare for the automation ahead.
