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:
Every route is registered to a dictionary like this:
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AI 进入我们的工作流,在 OpenClaw 爆火之后,这种感觉变得更加强烈。在「不用 AI 会被淘汰,用了 AI 也像是能被替代」的悖论下,不错过任何一个能放大自身价值的 AI 工具,让人陷入了无止境的 FOMO。
Nature, Published online: 24 February 2026; doi:10.1038/d41586-026-00593-x
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