AI"偷懒"的本质是LLM输出长度限制导致的注意力分散。Wide Research通过多轻量模型并行处理子任务、主LLM汇总的方式解决,分享为Codex构建该能力的设计思路。
How to Stop AI from Slacking Off: Building Systematic Wide Research Capabilities for Codex
Why AI slacks off on large tasks: LLM output length limitations cause attention drift. Wide Research solves this by parallelizing with lightweight models, then aggregating results with a primary LLM.
电车油车的底盘操控之争和技术路线
深入解析电车与油车底盘操控之争:油车通过战略自由塑造性格,电车用战术科技对抗物理惯性,两种截然不同的工程哲学。
The Great Debate: Chassis, Handling, and the Future of Driving in EVs vs. ICE Cars
A deep dive into EV vs ICE car chassis engineering, exploring different philosophies: ICE cars shape character through strategic freedom, while EVs fight physics with tactical technology.
为什么OpenAI Apps SDK对MCP的支持反而是MCP的危机
分析OpenAI Apps SDK通过_meta域绕过context window的做法如何违背MCP设计哲学,以及协议分裂成不同dialect的潜在危机。