“He had four preconditions. One is: look, the next model has to require fewer GPUs than the last. And not like a little fewer, but like a lot fewer … Then the second thing is the next model has to take less time to train … And then the accuracy of the next model has to be better than the last. … And then finally, it's got to keep happening again and again and again. Zero of those four have been met.”

…funny because it's like, okay, what is the big risk that everybody talks about is this, we're going to, the models are going to self, they're going to recursively self-improve and then they're going to take off. And then they're going to become so smart and run away from us. And Ali Goetze from Databricks had a great formulation of, well, okay, well, what would be the preconditions for that? And he had four preconditions. One is: look, the next model has to require fewer GPUs than the last. And not like a little fewer, but like a lot fewer because otherwise, like you're just going to run out of GPU. Like we just talked about this. You need debt. You got to get the GPUs. You need the power. You need the cooling. Like it's not running away from us. It takes a long time to build the next model. Then the second thing is the next model has to take less time to train because it's got to take off. And then the accuracy of the next model…