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After the US supreme court overturned Donald Trump’s global tariffs, he had two options: do what’s best for the US economy or do what’s best for his ego. Trump of course chose what’s best for his ego, and he did that by seizing on a never previously used legal provision to impose new tariffs that Trump – who can never admit defeat – insists will be just as good as the overturned tariffs.
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: