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No, no, don’t you understand? This person glanced at the code. We’re talking about a full-on glance here. They know it’s horribly optimised.

I'm working on building a JIT for an emulator and there is no end in sight. Running plenty of experiments though. So I guess that is something. LLMs are not good at building emulators unless they have a reference implementation in the training data.

He also used Claude to get the fastest inference engine out there (Dwarfstar) for Apple hardware and the extremely efficient Array data type in Redis.