this post was submitted on 20 Feb 2024
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We made a tag that can't be reliably and deterministically scanned so we also included a machine learning model that takes a good guess at it.
I just don't see how you could possibly rely on a black box model for anything important. You have no way to mathematically prove if there are collisions in the model output or not, and newer versions of the model can't be made backwards compatible. So if you have a database of thousands of these tags scanned, then they discover a critical vulnerability and provide a new model, you're SOL and everything you have is worthless.
Can you imagine your house doorknob had to think about the shape of your key before letting you in, and then have the possibility of just saying "No. Not today."?
It's used to identify similarities in glue patterns. In what way wouldn't this be backwards compatible? New versions would just be better at it.