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I think "overlearning" is not a good term (edit: it is quite accurate, though), because it tend to suggest the worst solution of all: that we refrain from learn
by loup-vaillant 15y ago
I think "overlearning" is not a good term (edit: it is quite accurate, though), because it tend to suggest the worst solution of all: that we refrain from learning. I prefer "lost purposes"[1].
The primary purpose of a game is generally to Have Fun. This purpose is lost if you have "solved" the game. The stated purpose of patents is to foster innovation. However it doesn't work[2]. The purpose of schools is learning. However its methods are flawed [3,4]. And so on.
The trick is to know your goals, and then find out means to best achieve them. The author said:
> But, in real life, we need to keep "playing the game": we need to have elections, and protections for inventors, and laws that govern society, and a market where companies can raise money.
But the actual goals are different: We don't need election, we need a working democratic system (which may, or may not, mandate elections). We don't need protections for inventors, we need innovations. We don't need laws, we need a fair and working society. We don't need a market where companies can raise money, we need a working economy.
Well, I could attempt recurse further up until pure morality, but that would be intractable. But at least you get the idea. If something looks broken, think about its ultimate purpose before you try to fix it.
[1]: http://lesswrong.com/lw/le/lost_purposes/ http://lesswrong.com/lw/le/lost_purposes/
[2]: http://www.dklevine.com/general/intellectual/against.htm http://www.dklevine.com/general/intellectual/against.htm
[3]: http://vimeo.com/5513063 http://vimeo.com/5513063 (Dr Tae)
[4]: http://www.khanacademy.org/ http://www.khanacademy.org/
- jorleif 15y agoOverlearning/Overfitting is a term from machine learning/statistics that means that a learning system fits its learning data so well that it does not generalize to new data. The examples given in the article seem like perfect examples of this, e.g. elected officials fit the election process very well, but do not "generalize" to leading a country.
- loup-vaillant 15y agoAh. I didn't see it as jargon. I recognize the term is accurate, but my main point still stands: the connotation is still there, and still does suggest we should learn less about those systems if we want to preserve their original purpose. Worse, the end of the post suggest we have to preserve things like schools, markets and elections, even though we learned enough to spoil them. Therefore, the only thing left to sacrifice is learning itself. That would really really sucks: I'm curious, and I always want to learn more. There are many things I would sacrifice before I accept to put hard limits on what I am allowed to learn.
- acroyear 15y agoi prefer the term 'metagaming'.