I think "a better set of inputs" is the real world or much better simulators to train our RL agents. François Chollet (author of Keras) was saying a similar thing - focusing too much on architectures and algorithms we forget the importance of the environment, an agent can only become as smart as the hardest problem it has to solve in its environment, and depends on the richness of said environment for learning. Humans are not general intelligences either, we're just good at being human (surviving in our environment). We'd be much smarter in a richer environment, too.

https://intelligence.org/2017/12/06/chollet/