Tyrrells plans to give vegetable crisps the chop

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At first glance, the benchmarks and their construction looked good (i.e. no cheating) and are much faster than working with UMAP in Python. To further test, I asked the agents to implement additional different useful machine learning algorithms such as HDBSCAN as individual projects, with each repo starting with this 8 prompt plan in sequence:

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As I said, this time the design notes were extensive since I wanted this emulator to be specifically designed for embedded systems, so only 48k emulation, optional framebuffer rendering, very little additional memory used (no big lookup tables for ULA/Z80 access contention), ROM not copied in the RAM to avoid using additional 16k of memory, but just referenced during the initialization (so we have just a copy in the executable), and so forth.

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