Pedro A. Ortega

Pedro A. Ortega is an accomplished AGI and cybernetics researcher, renowned for founding the AGI startup Daios. With an impressive background as the former Vice President of Research at Kosen Labs and the leader of the Safety Analysis Team at DeepMind, he specializes in artificial general intelligence, focusing on the fundamental principles of intelligence, including learning, planning, and decision-making in both machines and biological systems.

His innovative approach integrates machine learning, computational neuroscience, theoretical economics, and physics. Ortega has made significant strides in various domains, including large-scale planning, reinforcement learning causality, and AI safety. His research also covers information-theoretic and statistical mechanical methods, exploring concepts like bounded rationality and adaptive control as causal inference challenges.

Notable contributions include his PhD thesis on Bayesian control and papers on Thompson sampling and thermodynamic principles. In addition to his research, Ortega actively engages in the academic community through talks and the development of resources like MindScript, an experimental programming language available on GitHub.