史蒂夫很在意自己思考的性质与质量。他对自己期待极高，并努力让思考具有罕见的生命力、优雅与纪律。他的严苛与韧性把标准抬到了令人眩晕的高度。
Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.
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移动应用（iOS + Android）或 Web 应用——请选择 .task。原生支持 MediaPipe LLM 推理 API：Android 和 iOS 都有现成的示例。在 Flutter 上，flutter_gemma 也开箱即用地支持它。，详情可参考同城约会
* @param arr 待排序数组
# 120M EOU streaming