# About AI

## 两种学习方式

`监督学习`类似于`智力复制转移`，基于现有`labeled data`，资源越多、越好，学得的智慧越多

> `人类的智力`也逃不过这个规律。你只需设想 同一个人，把他`放在3000年前`和`放在3000年后`智力会有怎样的区别。

而`强化学习`基于经验的积累，属于无中生有，即使没有好`data`，只要处于一个`有规律的世界或者环境`，就能通过`不断地实验`获得智力。只要同样的错误，不犯两次，就可以加速这个学习过程。

> 改变世界的科技创新，都是无中生有，靠实验出来的

## Two ways of learning

`Supervised learning` is more like `intelligence transferring or copy`. It based on `existed labeled data`, the more good resource you get, the more intelligent you'll be. 

But `reinforcement learning` is different, wisdom comes from none. Even if you don't have good data, as long as you are in `a regular world that was ruled by natural rule`, you can get wisdom or intelligence by doing `experiments`. If you do not make a mistake twice, you can be better in learning and living.

