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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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6Koch borrowed the idea of using gelatine from mycologist Oscar Brefeld, who had used it to grow fungi. Interestingly, Brefeld also employed carrageenan, another seaweed-derived jelly. Because fungi generally favor growing at ambient temperatures, Brefeld might have been less plagued by the melting of growth media than Koch.