Closed loops and AI

Just read this take from Elad Gil: AI will eat closed loops first AI will first automate away the things that are easier to form a closed loop learning system on. This is why code and AI research may be accelerated and then displaced quickly - you can have testable closed loop systems so machines can learn and iterate quickly. The tighter the closed loop, the faster the AI can learn. You can make a 2x2 of jobs by how closed loop they can be made, versus their economic value, and see where AI may impact labor fastest. Fast time to closed loop + high economic value = fastest AI impact (hence software engineering). For reinforcement learning to work in model training, you need a source of reinforcement. So the things that the models are best at right now are those that are verifiable, fields and domains where the answer can be known to a high degree of certainty, and the model's output checked against reality. It's one of the reasons code has been such a success for AI so far: the tasks…