Part 2/11:
The fundamental question facing AI researchers is how to transition from models that merely generate responses based on input data to systems capable of interacting with their environment through actions. Unlike humans and other sentient beings who learn from experience, current generative models lack the mechanism for trial-and-error learning. This limitation raises valid concerns about the implications of deploying AI that can enact real-world actions. The unpredictable nature of real-world experiments poses a risk where trial-and-error could lead to disastrous outcomes.