Neural networks (at least in the configurations that have been dominant over the last three decades) have trouble generalizing beyond the multidimensional space that surrounds their training examples. That limits their ability to reason and plan reliably. It also drives their greediness with data, and even the ethical choices their developers have been making. There will never be enough data; there will always be outliers. This is why driverless cars are still just demos, and why LLMs will neve...