This AI Prediction was made by Thore Husfeldt 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)
Either you run out of time before the universe ends, or you run out of protons to build computers with.
Opinion about the Intelligence Explosion from Thore Husfeldt:
Flycer’s explanation for better understanding:
The text suggests that there are two possible scenarios for the end of the universe. The first is that time runs out before the universe ends, and the second is that there are no more protons left to build computers with. These scenarios imply that the end of the universe is inevitable and that technology may eventually reach its limits.
The future of humanity with AGI / HLMI / transformative AI:
We may want to ponder the consequences of running into a monster in the Library of Turing no matter how plausible that event may be.
Flycer’s Secondary Explanation:
The text suggests that encountering a monster in the Library of Turing is a possibility that should be considered. The consequences of such an event should be thought about, despite the likelihood of it happening. It is important to ponder the potential outcomes of unlikely scenarios.
Thore Husfeldt is a renowned computer scientist and professor at the IT University of Copenhagen. He received his PhD in Computer Science from the University of Aarhus in 2000 and has since made significant contributions to the field of algorithms and complexity theory.Husfeldt’s research focuses on the design and analysis of algorithms, with a particular interest in parameterized complexity and algorithm engineering. He has published numerous papers in top-tier conferences and journals, and his work has been recognized with several awards, including the prestigious ERC Starting Grant.In addition to his research, Husfeldt is a dedicated educator and mentor. He has supervised several PhD students and postdoctoral researchers, many of whom have gone on to successful careers in academia and industry. He is also a popular lecturer and has taught courses on algorithms, data structures, and complexity theory at both the undergraduate and graduate levels.Husfeldt is an active member of the international computer science community and has served on program committees for several conferences, including the ACM Symposium on Theory of Computing and the International Symposium on Parameterized and Exact Computation. He is also a member of the editorial board for the Journal of Computer and System Sciences.Overall, Husfeldt’s contributions to computer science have had a significant impact on the field, and his research and teaching continue to inspire and influence the next generation of computer scientists.