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Life 3.0: Being Human in the Age of Artificial Intelligence [1] is a 2017 non-fiction book by Swedish-American cosmologist Max Tegmark. Life 3.0 discusses artificial intelligence (AI) and its impact on the future of life on Earth and beyond. The book discusses a variety of societal implications, what can be done to maximize the chances of a ...
Max Erik Tegmark (born 5 May 1967) [1] is a Swedish-American physicist, machine learning researcher and author. [2] He is best known for his book Life 3.0 about what the world might look like as artificial intelligence continues to improve. Tegmark is a professor at the Massachusetts Institute of Technology and the president of the Future of ...
Max Tegmark, professor at MIT, one of the founders and current president of the Future of Life Institute. FLI's stated mission is to steer transformative technology towards benefiting life and away from large-scale risks. [2]
In Max Tegmark's 2017 book Life 3.0, a corporation's "Omega team" creates an extremely powerful AI able to moderately improve its own source code in a number of areas. After a certain point, the team chooses to publicly downplay the AI's ability in order to avoid regulation or confiscation of the project.
Pause Giant AI Experiments: An Open Letter is the title of a letter published by the Future of Life Institute in March 2023. The letter calls "all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4", citing risks such as AI-generated propaganda, extreme automation of jobs, human obsolescence, and a society-wide loss of control. [1]
In Skeptic, computer programmer Peter Kassan compares the book favorably with "histrionic" works such as Life 3.0, You Look Like a Thing and I Love You, and The Age of Spiritual Machines. Kassan calls the book "the most intelligent book on the subject" and praises Mitchell for being "measured, cautious, and often skeptical", unlike "most active ...
Max Tegmark has tried to address the problem of the computational complexity behind the calculations. According to Max Tegmark "the integration measure proposed by IIT is computationally infeasible to evaluate for large systems, growing super-exponentially with the system's information content." [25] As a result, Φ can only be approximated in ...
Recursive self-improvement (RSI) is a process in which an early or weak artificial general intelligence (AGI) system enhances its own capabilities and intelligence without human intervention, leading to a superintelligence or intelligence explosion.
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