Random Noise in Deep Neural Network Architectures

Is that a good example of say these, this unobserved phenomenon that you model in causal inference? Is that similar to injecting noise and intermediate activations for deep neural networks? Yeah. So I don't know if I'm familiar enough with it, but, but If people haven't like stated that they're trying to capture causal relationships and stated it in more than a way, like an NLP,. You see the phrase causal language modeling thing. That just means they're, they have like ordering to, to stuff. But so you have to have instead of saying it that way, I'm guessing they're not trying to captured causal relationships. Sorry.