人还是大自然,科技树向左还是向右?

in cn •  2 years ago 

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今天线上参与了Rchain的一个AMA,让我对原有技术的发展有了一些新的看法。我们都知道区块链世界里,目前性能阻碍了各大公链的发展,包括以太坊在内都面临扩展的问题。大多数项目都似乎走入了同一个瓶颈里。

Greg就关于高并发这个话题谈了自己的看法。

他举了个很生动的例子。并发性在自然界里,是很容易的。如果看看周围,树和各种植物组成了最大规模的空气净化系统。而这就是去中心化和分布式的解决方法,这之间并没有中心化的树做决策。

如果你打算成规模地处理事物,要学会模拟大自然,而不是人类。如果想要扩展,向自然界学习,而不是向人学习。后者就是图灵机了。

不是向人,而是向大自然学习的观点让人印象深刻。

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