Medium answer: If AGI has components that look like our most capable modern deep learning models (which I think is quite likely if it arrives in the next decade or two), it will probably be very resource-intensive to run, and orders of magnitude more expensive to train. This is relevant because it impacts who has the resources to develop AGI (large companies and governments; likely not individual actors), secrecy (it’s more difficult to secretly acquire a massive amount of compute than it is to secretly boot up an AGI on your laptop; this may even enable monitoring and regulation), and development speed (if iterations are slower and more expensive, it slows down development).
If you’re interested in further discussion of possible compute costs for AGI (and how this affects timelines), I recommend reading about bio anchors.
Short answer: Yep, probably.
Medium answer: If AGI has components that look like our most capable modern deep learning models (which I think is quite likely if it arrives in the next decade or two), it will probably be very resource-intensive to run, and orders of magnitude more expensive to train. This is relevant because it impacts who has the resources to develop AGI (large companies and governments; likely not individual actors), secrecy (it’s more difficult to secretly acquire a massive amount of compute than it is to secretly boot up an AGI on your laptop; this may even enable monitoring and regulation), and development speed (if iterations are slower and more expensive, it slows down development).
If you’re interested in further discussion of possible compute costs for AGI (and how this affects timelines), I recommend reading about bio anchors.