AI Field Notes / 模型与 Agent 工程

AI Field Notes · AI Field Notes

AI 研究档案AI research archive A quiet, bilingual reading room for technical essays on reasoning models, coding agents, and the systems around them.一个安静的双语阅读空间,整理关于推理模型、代码智能体及其系统环境的技术长文。

AI 研究档案AI research archive A quiet, bilingual reading room for technical essays on reasoning models, coding agents, and the systems around them.一个安静的双语阅读空间,整理关于推理模型、代码智能体及其系统环境的技术长文。

All supplied figures are kept as local assets. Choose a language from the menu; each page shows one language at a time.所有原始图表均作为本地资源保留。请使用右上角菜单切换语言;每个页面一次只显示一种语言。

文章目录Article index

Controlling Reasoning Effort in LLMs控制 LLM 的推理强度

July 18, 20262026 年 7 月 18 日

A field guide to training, inference scaling, thinking modes, and the engineering recipes behind adjustable reasoning effort.梳理推理模型的训练、推理扩展、思考模式,以及可调推理强度背后的工程实现路径。

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From Vibe Coding to Agentic Engineering从 Vibe Coding 到 Agentic Engineering

July 23, 20262026 年 7 月 23 日

A bilingual research digest on how coding agents change the unit of engineering, while responsibility, verification, and product interfaces remain human concerns.双语研究摘要:代码智能体如何改变工程活动的基本单元,以及责任、验证与产品接口为何仍然不可外包。

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Skill Issue: AutoResearch and the Loopy Era of AISkill Issue:AutoResearch 与 AI 的 Loopy Era

July 23, 20262026 年 7 月 23 日

A bilingual synthesis of persistent agents, constrained AutoResearch loops, program.md as meta-optimization, and the coordination costs of machine work.双语综合:持久智能体、受约束的 AutoResearch 循环、作为元优化层的 program.md,以及机器工作带来的协调成本。

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GPT-5.6 Model Family and Reasoning-Effort ArchitectureGPT-5.6 模型家族与推理强度架构

July 23, 20262026 年 7 月 23 日

A public-evidence reconstruction of GPT-5.6 tiers, effort semantics, token accounting, tool loops, and possible training mechanisms.基于公开证据重建 GPT-5.6 的模型规格、推理强度语义、token 计费、工具循环与可能的训练机制。

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