This AI Prediction was made by Yann LeCun 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)
human-level general A.I. is several decades away, and autonomous general A.I. may never be built.
Opinion about the Intelligence Explosion from Yann LeCun:
Flycer’s explanation for better understanding:
Human-level general A.I. is not expected to be achieved for several decades. Additionally, it is possible that autonomous general A.I. may never be developed.
The future of humanity with AGI / HLMI / transformative AI:
Even if the risk of an A.I. uprising is very unlikely and very far in the future, we still need to think about it
Flycer’s Secondary Explanation:
The possibility of an A.I. uprising is remote and distant, but it is still necessary to consider it.
Yann LeCun is a renowned computer scientist and artificial intelligence expert. He was born on July 8, 1960, in Soisy-sous-Montmorency, France. LeCun received his undergraduate degree in electrical engineering from the prestigious Ecole Superieure d’Ingenieurs en Electrotechnique et Electronique (ESIEE) in Paris in 1983. He then went on to earn his PhD in computer science from Pierre and Marie Curie University in Paris in 1987.LeCun is best known for his work in the field of deep learning, a subfield of machine learning that involves training artificial neural networks to recognize patterns in data. He is credited with developing the convolutional neural network (CNN), a type of neural network that is particularly effective at image recognition tasks. CNNs are now widely used in a variety of applications, including self-driving cars, facial recognition software, and medical image analysis.In addition to his work on deep learning, LeCun has also made significant contributions to the fields of computer vision and robotics. He has received numerous awards and honors for his work, including the IEEE Neural Network Pioneer Award in 2014 and the ACM A.M. Turing Award in 2018, often referred to as the “Nobel Prize of Computing.”LeCun is currently a professor of computer science and director of the Center for Data Science at New York University. He is also a founding member of Facebook’s AI Research (FAIR) group, where he continues to work on advancing the field of artificial intelligence.