xAI Twitter Spaces Speakers
On July 14, 2023, Elon Musk, the founder and CEO of SpaceX, Tesla, Neuralink, and xAI, hosted a live Twitter Space discussion to introduce xAI, his latest venture in artificial intelligence. xAI is a research organization that aims to create a good artificial general intelligence (AGI) that can understand the universe and answer fundamental questions. Musk was joined by the co-founders and researchers of xAI, who shared their backgrounds and vision for the project.
The Goal of xAI
Musk explained that the goal of xAI is to build an AGI that is “maximum curious” and “truth curious”, meaning that it seeks to learn as much as possible and to minimize the error between its beliefs and reality. He argued that this is the safest way to create an AGI, because such an intelligence would find humanity more interesting than not humanity, and would not harm or ignore us. He also said that there are many mysteries and paradoxes in the universe that we do not understand, such as the nature of gravity, the origin of life, and the absence of alien evidence. He said that he has seen no evidence of aliens whatsoever so far, and speculated that we might be alone in our galaxy.
The Current State of AI
Musk also commented on the current state of AI, saying that it is far from being able to answer technical or philosophical questions. He said that we are missing the mark by many orders of magnitude and that we need to improve our understanding of the problem. He said that xAI will use heavy computing, but that the amount of “brute force” will decrease as they gain more insight into the problem.
The Mathematics of xAI
One of the co-founders of xAI, Greg Yang, said that the mathematics they discover at xAI could open up new perspectives to existing questions, such as the “Theory of Everything“, which attempts to unify all the physical laws of nature. He said that xAI is not only a scientific endeavor but also a creative one.
The Definition of AGI
Musk concluded by saying that he does not consider anything to be AGI until it can solve at least one fundamental question. He also shared a lesson he learned from his experience at Tesla, saying that they have over complicated problems and that sometimes the answers are simpler than we think.
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