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Message: <blockquote data-quote="Umbran" data-source="post: 9833835" data-attributes="member: 177">This shows a critical misunderstanding of how the technology works.Generative AI is, effectively, statistical in nature - the chance you get a good response depends on how much data, and how many connections, you put in. But, it isn't linear. In order to cut the error in the results in half, you need to roughly quadruple the data input, and scale the connections to match.That's why they need the data centers to begin with. But future improvement will need more and more datacenters, until your ability to improve is capped by datacenter availability.And those datacenters are not one-time costs themselves. Training AI drives the hardware fast and hot, so hardware turnover is double or more what we usually think of in computing.So, if the current trillions of investment don't make genAI that's good enough, the next guy will also have to spend trillions of dollars to maybe get it to work.</blockquote>