This AI Prediction was made by Nicholas A. Christakis 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)
Because, when I think of AI, I think of human culture and of other forms of (un-self-aware) collective ideation.
Opinion about the Intelligence Explosion from Nicholas A. Christakis:
Moreover, we typically take culture for granted too, just as we already take nascent forms of AI for granted, and just as we will likely take fuller forms of AI for granted. Finally, gene-culture co-evolution might even provide a model for how we and thinking machines might get along over many centuries—mutually affecting each other and co-evolving.
Flycer’s explanation for better understanding:
The author believes that AI is similar to human culture and other forms of collective ideation. Culture and AI are often taken for granted, and the co-evolution of genes and culture could provide a model for how humans and thinking machines can coexist and evolve together.
The future of humanity with AGI / HLMI / transformative AI:
When I think about machines that think, I am therefore just exactly as awestruck with them as I am with culture, and I am no more, or less, afraid of AI than I of human culture itself.
Flycer’s Secondary Explanation:
The author is equally impressed by machines that think and human culture. They are not more or less afraid of AI than they are of human culture. The author’s attitude towards AI is one of awe and respect.
Nicholas A. Christakis is a renowned sociologist and physician who has made significant contributions to the fields of social network analysis, health, and social behavior. He is currently the Sterling Professor of Social and Natural Science at Yale University, where he also serves as the Director of the Human Nature Lab and the Co-Director of the Yale Institute for Network Science.Christakis received his undergraduate degree from Yale University and his medical degree from Harvard Medical School. He completed his residency in internal medicine at the University of Pennsylvania and later earned a PhD in sociology from the University of Pennsylvania as well. Throughout his career, Christakis has conducted groundbreaking research on the social determinants of health, the spread of infectious diseases, and the impact of social networks on human behavior. He has authored numerous articles and books, including the best-selling book “Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives.”Christakis has received numerous awards and honors for his work, including being elected to the National Academy of Medicine, the American Association for the Advancement of Science, and the American Academy of Arts and Sciences. He has also been named one of Time magazine’s 100 most influential people in the world.In addition to his research, Christakis is a dedicated teacher and mentor. He has received multiple teaching awards and has supervised numerous doctoral students and postdoctoral fellows. He is also a sought-after speaker and has given talks at conferences and events around the world.Overall, Nicholas A. Christakis is a highly respected scholar whose work has had a profound impact on our understanding of social networks, health, and human behavior.
Keywords: AI, human culture, gene-culture co-evolution