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Trained — weights learned from data by any training algorithm (SGD, Adam, evolutionary search, etc.). The algorithm must be generic — it should work with any model and dataset, not just this specific problem. This encourages creative ideas around data format, tokenization, curriculum learning, and architecture search.
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To make my experiment more compelling, one should try to implement a Z80 and ZX Spectrum emulator without providing any documentation to the agent, and then compare the result of the implementation. I didn’t find the time to do it, but it could be quite informative.