This seems like very standard ML. I’m not surprised it works, but also it likely takes a huge amount of training data (i.e. print samples) to recognize a specific machine.

I’ve done stuff like this. For instance I took a pre-trained model that could identify animals and used reinforcement learning to feed it thousands of annotated images of my cats. After this fine-tuning it could reliably tell the difference between them. Useful? Yes. Neat? Yes. But it’s not like it can identify a cat it’s never been trained on.

So it’s interesting and useful, but not as impressive or useful as the article makes it seem.

Also I’m sure something as simple as changing a nozzle or even what slicer is used would completely throw it off.

I don’t volunteer either piece of information, but sooner or later someone is going to overhear me ordering vegan food or see me opening my lunch and the dreaded conversation will have to happen. I wish people would just let me make my own food choices in private without making a big thing about it.

Does it line up with the bottom of the z? If so - is it doing solid infill layers for the top few layers?

Wow looks great! Thanks for sharing.