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I reverse engineered the Game Boy from pictures of the die - https://github.com/aappleby/metroboy - so yes, it's totally doable. It is also incredibly tedious and frustrating.

Not sure if that gives me an advantage in this challenge, but I have too many things to do already. :D

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Earlier this year I watched a video from a conference where a researcher took a die shot (one of Ken's I think) and then did guided learning by identifying on the image which were the different layers, metals, and layout of the gates on the die. The machine learning algorithm could go off and identify other gates and provide a netlist(?).

I've tried searching REverse, and some of the hacker conferences from January, but haven't found it yet.

and of course I find it...

giulioz: MMO-CHIP: From Microscope to Verilog in an hour[1]

source code is on github[2]

[1] https://www.youtube.com/watch?v=5211iYEqnzo [2] https://github.com/giulioz/mmo-chip

seeing this was done 5yrs ago. Is this easily recreatable by an AI model nowadays? If so, what does it make you feel?

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