Antonio López Peláez, Dimitris Kyriakou on 2008

This AI Prediction was made by Antonio López Peláez, Dimitris Kyriakou in 2008.


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)

On a long run horizon, with the year 2050 as a reference, the presence of robots will be common and the humans–machines relationship will be strengthened in an exceptional way



Opinion about the Intelligence Explosion from Antonio López Peláez, Dimitris Kyriakou:


Flycer’s explanation for better understanding:

Robots will become increasingly common by 2050, and the relationship between humans and machines will be greatly enhanced. This will have a significant impact on the way we live and work. The presence of robots will be a major factor in the way our society functions in the future.



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

If the level of automation predicted by experts is reached, it will redefine the meaning of human activity, in the context of which robots can become, according to Hans Moravek, everyday companions in leisure activities.


Flycer’s Secondary Explanation:

Automation is predicted to reach a high level, which will redefine the meaning of human activity. Robots could become everyday companions in leisure activities, according to Hans Moravek. This could lead to a new era of human-robot interaction.




Antonio López Peláez and Dimitris Kyriakou:Antonio López Peláez is a Spanish computer scientist who works in the area of artificial intelligence and natural language processing. He is currently a professor of computer science at the University of Granada. Dimitris Kyriakou is a computer scientist and entrepreneur from Greece, known for his work on machine learning and natural language processing. He is the co-founder and CEO of a startup that develops conversational AI technology. López Peláez and Kyriakou have collaborated on several research projects related to natural language processing and machine learning, including the development of algorithms for sentiment analysis and named entity recognition. Their work aims to improve the accuracy and effectiveness of natural language processing systems.









Keywords: robots, automation, leisure activities