it 's very interesting. There are many counterpoints that are not examined though:
- There's nothing wrong with curve fitting per se. NNs fit hundreds of curves in parallel and many of them may contain cues about the causal structure of the data.
- Deep learning has become part of reinforcement learning, which is trying to learn a causal structure. The primary determinant of causality is the temporal order of cause and effect. The question is , do humans use other hints apart from time for causal inference?
- There is also not much evidence from neuroscience tha ... (more)