This AI Prediction was made by Tomaso Poggio in 2015.
Predicted time for AGI / HLMI / transformative AI:
(Hover for explanation)Types of advanced artificial intelligence: AGI (AI that can perform many tasks at a human-level), HLMI (more advanced AI that surpasses human intelligence in specific areas), and Transformative AI (AI that could significantly impact society and the world)
Opinion about the Intelligence Explosion from Tomaso Poggio:
Since intelligence is a whole set of solutions to rather independent problems, there is little reason to fear the sudden appearance of a super-human machine that think, though it is always better to err on the side of caution.
Flycer’s explanation for better understanding:
Intelligence is a collection of solutions to separate problems, so there is no need to worry about the emergence of a super-intelligent machine. However, it is better to be cautious.
The future of humanity with AGI / HLMI / transformative AI:
Thus, as it is the case in other parts of science, proper safety measures and ethical guidelines should be in place. In addition, there is probably the need for constant monitoring—perhaps by an independent supernational organization—of the supralinear risk created by the combination of continuously emerging technologies of intelligence. All in all, however, not only I am not afraid of machines that think but I find their birth and evolution one of the most exciting, interesting and positive events in the history of human thought.
Flycer’s Secondary Explanation:
Proper safety measures and ethical guidelines should be in place for the development of intelligent machines. There is a need for constant monitoring of the risk created by emerging technologies. The author finds the birth and evolution of intelligent machines exciting and positive.
Tomaso Poggio is a renowned Italian-American computer scientist and neuroscientist. He was born on October 11, 1947, in Genoa, Italy. Poggio received his undergraduate degree in mathematics from the University of Genoa in 1970 and his Ph.D. in mathematics from the University of Paris in 1973.Poggio is currently the Eugene McDermott Professor in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology (MIT). He is also the director of the Center for Brains, Minds, and Machines, a multi-institutional research center focused on understanding the nature of intelligence and developing new technologies inspired by the brain.Throughout his career, Poggio has made significant contributions to the fields of computer vision, machine learning, and neuroscience. He is best known for his work on the “neocognitron,” a neural network model that can recognize visual patterns. His research has also led to the development of algorithms for object recognition, face recognition, and speech recognition.Poggio has received numerous awards and honors for his work, including the IEEE Neural Network Pioneer Award, the Okawa Prize, and the Swartz Prize for Theoretical and Computational Neuroscience. He is a member of the National Academy of Sciences, the American Academy of Arts and Sciences, and the European Academy of Sciences.In addition to his research, Poggio is also a dedicated educator. He has mentored numerous students and postdoctoral researchers, many of whom have gone on to successful careers in academia and industry. He has also co-authored several influential textbooks, including “Computational Vision and Regularization Theory” and “Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems.”Overall, Tomaso Poggio’s contributions to the fields of computer science and neuroscience have had a profound impact on our understanding of intelligence and the development of new technologies. His work continues to inspire and inform researchers around the world.
Keywords: intelligence, machine, safety measures