Everything that is physics is also just networks. Working together.

Then it could be a an idea to model some parts of the algorithm in a 3D modeler like Blender.

For instance I suspect you need simple simulated physical wheel suspension systems for periodic objects.

?Everything can be written in a periodic way. Then I suspect that using machine learning models. With lots of error correction. Could possible brake the network. I guess the process could then be improved with proven real world examples of say suspension. Breaking the network is similar to the error goes to inf.

I got this idea from mechanical inventions trying to solve simple network type problems like showing time. Maybe there exist some advantage in modeling some parts in a 3D simulator than trying to come up with a limited math function.

Thought Mechanics In Progress // Per Lindholm

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