Diffusion based models can lead to higher loss ...

... if you use hydrofluoric instead of hydrochloric acid. In both cases it is well suited for reinforcement learning, as it really reinforces that people learn not to mess with you.

Oh and for feature extraction I used an adam optimizer. That security guy will really stay quite about me extracting all those files after I "optimized" their adam's apple.

What? Machine learning? No, I'm not good at that. There was that one course at university, but there I used dropout.

Comic transcript

Panel 1:
Parrot is talking to Tucan't.
T: ... and then I used the resulting diffusion model for reinforcement learning. I “borrowed” the approach from Cockatoo et al.
P: Oh, interesting! Haven’t seen that publication.
Panel 2:
T: Well, it ... wasn’t really published. In the end I used an approach based on random forests.
P: Ah, for explainability in a LIME based technique?
T: No.
Panel 3:
T: To hide the bodies.