>What are you talking about. AGI will probably use only slightly more energy than humans and doesn't need datacenters at all because we would use edge ai

This works with targeted tasks like mining, but we need centralized processing to make long-term plans.

It is also necessary to take into account the large consumption of energy and resources for the operation of ASI. In the best case, we will need a data center with at least 15,000,000 servers (Google has only 1,000,000). With such a large amount of equipment and the existing architecture, the equipment will fail very often, and it needs to be serviced in a timely manner. The solution lies in a decentralized system, but there are problems here too. It would be more like swarm intelligence. Alternatively, we can train biological nerve tissues that learn faster and more efficiently. But how to create such a smart AI? We are limited and we can't do it on our own. Then we can try to create an environment for the evolution of millions of scanned connectomes using a system to simulate biological processes. We need a self-organizing asynchronous system, which is the brain. As a result, we will only have to bring this system to operability in a few hundred years and wait for the singularity.