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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Her appearance, described by one viewer as "camp and iconic", instantly went viral - spawning memes of the star's face screwed up in concentration, before pulling an answer out of thin air with a victorious swish of her hair.