If you've ever wondered how Japanese people seem to stay effortlessly thin - the huge amount of walking might have something to do with it.
I go to Japan for a few weeks each year and I typically end up with 15k+ steps each day.
The last few years I've worn a pair of primal Zen barefoot shoes from Lems. They're not as thin as my daily wear pairs in the US but with the extreme amount of walking I'm doing I wanted something with just a little more cushion while still being zero drop and flexible.
The pros: I love the cork insole for moisture control and the shoes are very comfortable for long-term wear. The mesh upper over the toes is great for ventilation and keeping my feet cool. The zero-drop and wide toe-box mean no back pain and comfortable feet.
The only downsides I've found are that the mesh vent over the toes lets in rain and they're not super easy to put on and off (which you do a lot in Japan). Next year I might try to find something slip-on.
Anyway - just sharing my experience. Has anyone else tried these? Do you like them?
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.