Chemicals from our phone and TV screens are accumulating in the brains of endangered dolphins and porpoises. New research shows these "liquid crystal monomers" from e-waste can cross the blood-brain barrier and may disrupt DNA repair, highlighting the growing impact of electronics on marine life.

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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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