>> The very idea of NNs is that it's not perfect, it is messy and not optimal, but is very generalizable.
Newton: Do you need more than that to describe the speed of a thrown baseball on a train? No. DO you you need more than newton to get to the moon? No. Is it going to be accurate at high speed in a large scale system (anything traveling near C)? NO, it fails spectacularly.
NN's are great at simulation, language, weather... But what people using them for weather seem to understand and the ML folks (screaming about AI and AGI) dont is that simulation is not a path to emulation. Lorenz showed that there were limits in weather, that most other disciplines have embraced these limits.
Newton: Do you need more than that to describe the speed of a thrown baseball on a train? No. DO you you need more than newton to get to the moon? No. Is it going to be accurate at high speed in a large scale system (anything traveling near C)? NO, it fails spectacularly.
NN's are great at simulation, language, weather... But what people using them for weather seem to understand and the ML folks (screaming about AI and AGI) dont is that simulation is not a path to emulation. Lorenz showed that there were limits in weather, that most other disciplines have embraced these limits.