简单来说，模型蒸馏指的是基于一个模型的输出，去训练或改进另一个模型。对于 AI 公司而言，这是一条非常敏感的边界。因为 OpenAI、Anthropic 和 Google 等公司的服务条款，都明确禁止用户使用模型输出来构建竞争性系统。

如果你喜欢“派任务等结果”的模式——把任务交给AI，然后去喝杯咖啡，回来看结果——Codex更适合你。它的云端沙箱和并行执行能力，让“委派式”工作变得高效又安全。 这个问题问得太精准了。 2026年的AI编程工具赛道，Codex和Claude Code就是两个最耀眼的明星。

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MCP Server（Model Context Protocol 服务器）是让 AI 模型调用外部工具与数据的标准化接口，由 Anthropic 于 2024 年底开源后迅速成为行业标准。截至 2026 年 4 月，Python SDK 在 PyPI 的月下载量已突破 1.64 亿次，公开目录收录的 MCP 服务器超过 20,000 个，OpenAI、Google、Microsoft 相继采纳同 ...

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Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...