This AI Prediction was made by Bart Kosko 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 Bart Kosko:
Flycer’s explanation for better understanding:
The future of humanity with AGI / HLMI / transformative AI:
The algorithms themselves consist mainly of vast numbers of additions and multiplications. So they are not likely to suddenly wake up one day and take over the world. They will instead get better at learning and recognizing ever richer patterns simply because they add and multiply faster.
Flycer’s Secondary Explanation:
Algorithms are made up of many additions and multiplications. They are not capable of taking over the world. They will improve by learning and recognizing patterns faster.
Bart Kosko is an American author and professor of electrical engineering and law at the University of Southern California. He was born on February 7, 1945, in Wichita, Kansas, and grew up in Muskogee, Oklahoma. Kosko received his Bachelor of Science degree in electrical engineering from the University of Tulsa in 1967, his Master of Science degree in electrical engineering from the University of California, Los Angeles in 1968, and his Ph.D. in electrical engineering from the University of Southern California in 1972.Kosko is best known for his work in fuzzy logic, neural networks, and noise-driven phenomena. He is the author of several books, including “Fuzzy Thinking: The New Science of Fuzzy Logic” and “Noise”. His research has been published in numerous scientific journals, and he has received several awards for his contributions to the field of electrical engineering.In addition to his work in engineering, Kosko is also a practicing attorney and has written extensively on the intersection of law and technology. He is a member of the California Bar and has served as an expert witness in several high-profile legal cases.Kosko has been a professor at the University of Southern California since 1974 and has held several leadership positions within the university, including serving as the director of the Center for Quantum Networks and the director of the Signal and Image Processing Institute. He has also held visiting positions at several universities around the world, including the University of Paris, the University of Tokyo, and the University of New South Wales.Throughout his career, Kosko has been a strong advocate for interdisciplinary research and collaboration between different fields of study. He has been a mentor to countless students and researchers and has inspired many to pursue careers in science and engineering.
Keywords: algorithms, learning, patterns