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AI Superpowers: China, Silicon Valley, and the New World Order is a 2018 non-fiction book by Kai-Fu Lee, an artificial intelligence (AI) pioneer, China expert and venture capitalist. Lee previously held executive positions at Apple, then SGI, Microsoft, and Google before creating his own company, Sinovation Ventures. [1] [2]
Therefore, we call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4. This pause should be public and verifiable, and include all key actors. If such a pause cannot be enacted quickly, governments should step in and institute a moratorium.
Most AI researchers believe strong AI can be achieved in the future, but some thinkers, like Hubert Dreyfus and Roger Penrose, deny the possibility of achieving strong AI. [ 82 ] [ 83 ] John McCarthy is among those who believe human-level AI will be accomplished, but that the present level of progress is such that a date cannot accurately be ...
Duplicability: unlike human brains, AI software and models can be easily copied. Editability: the parameters and internal workings of an AI model can easily be modified, unlike the connections in a human brain. Memory sharing and learning: AIs may be able to learn from the experiences of other AIs in a manner more efficient than human learning.
Asilomar Conference on Beneficial AI was held, to discuss AI ethics and how to bring about beneficial AI while avoiding the existential risk from artificial general intelligence. Deepstack [ 116 ] is the first published algorithm to beat human players in imperfect information games, as shown with statistical significance on heads-up no-limit ...
"Right now, AI is like a steam engine, which was quite disruptive when introduced to society," he said in a recent video. He then used a different metaphor, saying it will evolve in a few years to ...
The Riemann hypothesis catastrophe thought experiment provides one example of instrumental convergence. Marvin Minsky, the co-founder of MIT's AI laboratory, suggested that an artificial intelligence designed to solve the Riemann hypothesis might decide to take over all of Earth's resources to build supercomputers to help achieve its goal. [2]
What it signals to some lawmakers and AI safety advocates is a level of computing power that might enable rapidly advancing AI technology to create or proliferate weapons of mass destruction, or ...