Marti Hearst on 2015

This AI Prediction was made by Marti Hearst 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)

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Opinion about the Intelligence Explosion from Marti Hearst:

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Flycer’s explanation for better understanding:



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

This distributed nerve-center network, an interplay among the minds of people and their monitoring electronics will give rise to a distributed technical-social mental system the likes of which has not been experienced before.


Flycer’s Secondary Explanation:

The combination of people’s minds and monitoring electronics will create a distributed nerve-center network. This network will give rise to a technical-social mental system that has not been experienced before. The system will be unique and unprecedented.




Marti Hearst is a renowned computer scientist and professor at the University of California, Berkeley. She received her Ph.D. in Computer Science from the University of California, Berkeley in 1994 and has since made significant contributions to the field of human-computer interaction (HCI).Hearst’s research focuses on improving the user experience of information retrieval systems, natural language processing, and machine learning. She has authored numerous papers and books on these topics, including the widely used textbook “Search User Interfaces.”In addition to her academic work, Hearst has also been involved in industry research and development. She has worked at Xerox PARC, eBay, and Google, where she helped develop the Google News and Google Search products.Hearst has received numerous awards for her contributions to the field of HCI, including the ACM SIGCHI Lifetime Research Award and the ACM SIGIR Gerard Salton Award. She is also a fellow of the Association for Computing Machinery (ACM) and the Association for Computational Linguistics (ACL).As a professor, Hearst is known for her engaging teaching style and dedication to mentoring students. She has advised over 50 Ph.D. students and is a strong advocate for increasing diversity in computer science.Overall, Marti Hearst’s work has had a significant impact on the field of HCI and information retrieval, and her contributions continue to shape the way we interact with technology today.









Keywords: distributed, network, mental system