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.