在文章里看到了藏师傅的人文关怀：
Agent 时代的能力分四层——大脑、手脚、组织、进化。前三层都在解决
"Agent 怎么变强"。
但有一个问题一直没被正面回答：
人怎么跟上？
Agent 的能力在指数增长。
模型几个月翻一倍，工具生态天天在扩，协议标准快速统一。
人的学习速度是线性的。这个差距只会越来越大。
让用户读文档？不会读的。做新手教程？三天就忘。搞培训？跟不上变化。
我现在想试试宠物系统这个解法。 让每个人跟上 AI 的发展
也是我们觉得最重要的地方
今晚12点，不见不散。
#### 歸藏(guizang.ai)
@op7418 · 3h ago
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One Sentence Summary
The author explores the gap between the exponential growth of AI Agents and the linear learning speed of humans, proposing a 'Pet System' as a solution and teasing an upcoming product launch.
Summary
The tweet references a framework for AI Agent capabilities, noting that AI evolution far outpaces human learning, rendering traditional documentation and training ineffective. The author proposes a 'Pet System' as a new interaction or assistance paradigm designed to lower the barrier to AI adoption, and teases a product launch happening tonight.
AI Score
80
Influence Score 3
Published At Today
Language
Chinese
Tags
AI Agent
Human-Computer Interaction
Product Launch
AI Evolution
User Experience