Thank you for the summary. My memory of SOTA on disassembly about a year ago was sub—30% accuracy, so this is a significant step forward. I do think the idea o

Thank you for the summary. My memory of SOTA on disassembly about a year ago was sub—30% accuracy, so this is a significant step forward. I do think the idea of a 90%+-ish forward and backward assembler LLM is pretty intriguing. There’s bound to be a lot of uses for it; especially if you’re of the mind that to get there it would have to have learned a lot about computers in the foundation model training phase. Like, you’d definitely want to have those weights somehow baked into a typical coding assistant LLM, and of course you’d be able to automate round one of a lot of historical archiving projects that would like to get compilable modern code but only have a binary, you’d be able to turn some PDP-1 code into something that would compile on a modern machine, … you’d probably be able to leverage it into building chip simulations / code easily, it would be really useful for writing Verilog, (maybe), anyway, the use cases seem pretty broad to me.