> The navier-stokes shows us what mathematical problem can be solved when $10m worth of compute is thrown at something. > It also makes one wonder: What could

> The navier-stokes shows us what mathematical problem can be solved when $10m worth of compute is thrown at something. > It also makes one wonder: What could AI solve if we managed to orchestrate billions worth of agents to take on a specific problem? We need to have robotics automation catchup first. The math and coding problems are problems in written-space only: you can set up feedback loops to test what worked and what didn't, then try to resolve the defects, maybe back up and try a different path, etc. What solved coding and maths problems weren't the damn models; open up a chat interface to a SOTA model and you'll see they are pretty limited in producing a solution without a feedback loop. Instead, it was the harness around the models: it let them explore a space and use feedback to control and direct that exploration. Until we can do it in meatspace, it's kinda pointless sinking a ton of money into large problems facing mankind... Like establishing a colony on mars (so the next rock to hit earth isn't an ELE). Or moving us to a post-scarcity utopia, ending the concept of money. Or designing and building better batteries for transport that uses only electricity (so that we stop using fossils as fuel). Or actually building mass-housing. Or mass-farming. Or both, potentially ending homelessness and starvation. Those are all worthwhile problems to solve, but where's the point of getting a solution on paper? There's no exploratory mechanism there, even for humans, to come up with a solution. So, all we are left with then is making knowledge workers obsolete: another ELE, but of a different, self-inflicted kind.