Vladislav Daniel Veksler on 2007

This AI Prediction was made by Vladislav Daniel Veksler in 2007.

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)

What you should really be asking is — by when would AI have human-like learning capabilities. Then the answer to your question is *2050-2070*.

Opinion about the Intelligence Explosion from Vladislav Daniel Veksler:

Flycer’s explanation for better understanding:

AI is expected to have human-like learning capabilities in the next few decades. Estimates suggest this could happen between 2050 and 2070. This is an important question to consider when discussing the future of AI.

The future of humanity with AGI / HLMI / transformative AI:

Flycer’s Secondary Explanation:

About:

Vladislav Daniel Veksler is a computer scientist and AI researcher who has made significant contributions to the field of computer vision and machine learning. He earned his Ph.D. in computer science from the University of California, Los Angeles (UCLA) in 2013, where he worked on developing algorithms for visual recognition and classification using deep learning techniques.Veksler has since worked on various research projects related to computer vision and machine learning, including the development of algorithms for object detection and tracking, image segmentation, and video analysis. He has also made contributions to the field of medical image analysis, where his research has focused on developing deep learning-based methods for diagnosing and treating various medical conditions.Veksler has published numerous articles and papers on topics related to computer vision, machine learning, and medical image analysis. He is also a member of various academic and professional organizations, including the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM).