Lots of ai researchers have shown that you can both give credit and discredit "open models" when you are given a dataset and training steps.

Many lauded papers fell into reddit Ml or twitter ire when people couldnt reproduce the model or results.

If you are given the training set, the weights, the steps required, and enough compute, you can do it.

Having enough compute and people releasing the steps is the main impediment.

For my research I always release all of my code, and the order of execution steps, and of course the training set. I also give confidence intervals based on my runs so people can reproduce and see if we get similar intervals.