I've found this fun way to think of it: the goal is to invent a faster form of evolution for pattern recognition, learning, and autonomous task completion. I th

I've found this fun way to think of it: the goal is to invent a faster form of evolution for pattern recognition, learning, and autonomous task completion. I think one needs to consider it more like biology and a science than pure logic and math. We can discover things that work, and then after that we can study them to learn why they work, just like we don't fully understand the brain yet. I think there are some really cool problems, such as: 1. Is synthetic data viable for training? 2. How do you make deep learning agents that can do task planning and introspection in complex environments? 3. How do we efficiently build memory and data lookup into AI agents? And is this better/worse than making longer context windows?