Proposes that User-Generated Software requires a new paradigm. Instead of finished products, companies deliver "Generative Kernels"—core kits, guiding knowledge, and leverage tools designed for AI to use, maximizing expressive range, intent fidelity, and generation efficiency.
Articles in the Computing category
用一次摸鱼经历详解AI管理实战
分享3分钟语音prompt如何让AI完成资深科学家一整天的工作量。详解招聘、任务委托、入职培训、过程指导和产品验收五大管理环节如何释放AI的全部潜力。
A Deep Dive into AI Management from a Slacking-Off Session
Shares how a 3-minute voice prompt led to AI completing a senior scientist's full-day work. Details five management principles—hiring, task delegation, onboarding, process guidance, and product acceptance—that unlock AI's full potential.
怎么让AI不偷懒：为Codex构建系统性的Wide Research能力
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.