Is quantum computing the key to achieving an AGI?

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Advanced quantum computing is considered a potential key to achieving true artificial general intelligence (AGI) due to its ability to provide significant computational power that classical computing cannot match. However, the challenge of developing AGI is not merely a matter of computational resources; it lies in the fundamental lack of understanding of how to create AGI, even in principle. While quantum computers may enhance the speed of processes such as training machine learning models, they do not inherently resolve the limitations of machine learning in relation to AGI. The belief that AGI might "emerge" simply from scaling up systems is questioned, emphasizing that more than just increased size and speed is needed to achieve AGI.
ElliotSmith
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Is quantum computing the key to achieving the world's first true artificial general intelligence?
Is advanced quantum computing the key to achieving the world's first true artificial general intelligence? The astronomical amount of computing power required for an AGI is currently not possible with classical computing.
 
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No.
The issue with AGI is not that it is an intractable problems; it is that we don't know how to do it even in principle.
Quantum computers will hopefully be able to provide a significant speedup when it comes to e.g. training; but unless one assumes that an AGI will "emerge" if one makes the system large enough they won't fundamentally change what ML can and cannot do with respect to an AGI.
 
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I've been experimenting with ChatGPT. Some results are good, some very very bad. I think examples can help expose the properties of this AI. Maybe you can post some of your favorite examples and tell us what they reveal about the properties of this AI. (I had problems with copy/paste of text and formatting, so I'm posting my examples as screen shots. That is a promising start. :smile: But then I provided values V=1, R1=1, R2=2, R3=3 and asked for the value of I. At first, it said...

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