Agar was first introduced into the laboratory in 1881. Since then, microbiologists have depended on agar to create strong jellies. When microorganisms are streaked or plated onto this jellied surface and incubated, individual cells multiply into distinct colonies that scientists can easily observe, select, and propagate for further experiments. Many of the most important findings in biological research of the last 150 years or so — including the discovery of the CRISPR/Cas9 gene-editing tool — have been enabled by agar.4 Agarose, a derivative of agar, is also essential in molecular biology techniques like gel electrophoresis, where its porous gel matrix separates DNA fragments by size, enabling researchers to analyze and isolate specific genetic sequences.
After implementing the Web streams spec multiple times across different runtimes and seeing the pain points firsthand, I decided it was time to explore what a better, alternative streaming API could look like if designed from first principles today.
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2025年，一位用戶在X（前身為Twitter）上發推文問道：「我想知道OpenAI因為人們向他們的模型說『請』和『謝謝』而損失了多少電費。」 製作ChatGPT的OpenAI首席執行官薩姆·奧特曼（Sam Altman）回應道：「花掉的數千萬美元很值得，」他說，「誰知道呢。」，详情可参考heLLoword翻译官方下载
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。