这话听起来只是个比喻，但一传开，就被解读成 AI vs 人类的「效能大战」。Altman 到底想表达什么？简单说，他觉得大家批评 AI 时，总拿「训练模型」的总能耗和人类「回答一个问题」的瞬间能耗比，这不公平。
He says the results could change predicted extinction dates for Emperor penguins.
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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:
It's been designed by Notion, that could be a Google space different that helps groups craft higher ideas and collaborate effectively.