rather than that, what guarantee do you have that the model does what you want under the conditions you care about?

how do you know you are outside of those conditions?

im not convinced that having the training data and process actually answers the most important questions, because we dont have answers to them.

the rest is great for being able to audit what is there, and being able to play with different variations, but it isnt going to be the same as reading code, then building it, then comparing the build hashes to see that they're the same