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They’re not data though, they’re coefficients. They are the only thing that significantly differentiates one model from another.

If I told you the economy can be accurately modelled by

GDP(x) = Ax + B

But I don’t define A And B for you because it’s proprietary, you haven’t learned anything other than what you can glean from the structure of the model itself (it’s linear, there’s only a single input etc)

If most of these models are similarly structured, I’d say the weights are the program.



The nature of the data as proprietary or not, important or not, is not relevant.

Parameters, or actual arguments, are values; data. Not instructions.

Valuable data is still data. It's significance doesn't magically turn it into source code.




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