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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Cleverly, Williamson and his co-writers have weaponized the Stu lives fan theory to be a mystery within the mystery. It's not enough to unmask the killer. This Stu business needs to be settled. And along the way to a climax that is surprising and astounding in its violence, fans of Lillard will have plenty of opportunity to thrill over his return. His rambunctious energy and explosive charisma hasn't faded in thirty years, and it's wild fun to see him pissing Sidney off all over again.
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