这个问题来自于对过去50年左右计算领域各种进展的评论。

其他一些与会者请我把这个问题作为一个问题向整个论坛提出。

这里的基本思想不是抨击事物的现状,而是试图理解提出基本新思想和原则的过程。

我认为我们在大多数计算领域都需要真正的新想法,我想知道最近已经完成的任何重要而有力的想法。如果我们真的找不到他们,那么我们应该问“为什么?”和“我们应该做什么?”


当前回答

计算机图形学,特殊效果和3D动画

其他回答

我相信单元测试、TDD和持续集成是1980年之后的重大发明。

我认为自20世纪80年代以来发明的最好的想法将是我们不知道的。要么是因为它们很小,无处不在,以至于不引人注意,要么是因为它们的受欢迎程度还没有真正起飞。

前者的一个例子是单击并拖动以选择文本的一部分。我相信这是1984年首次出现在麦金塔电脑上。在此之前,您有单独的按钮用于选择选择的开始和结束。相当繁重。

后者的一个例子是(可能是)可视化编程语言。我不是说像hypercard,我是说像Max/MSP, Prograph, Quartz Composer, yahoo pipes等。目前它们确实是小众的,但我认为,除了思想分享之外,没有什么能阻止它们像标准编程语言一样具有表现力和强大的功能。

可视化编程语言有效地加强了引用透明性的函数式编程范式。这对于代码来说是一个非常有用的属性。他们执行这一点的方式也不是人为的——这只是由于他们使用的比喻。

VPL让那些本来不会编程的人也能编程,比如有语言障碍的人,比如阅读困难的人,甚至只是需要简单节省时间的门外汉。专业程序员可能会对此嗤之以鼻,但就我个人而言,我认为如果编程成为一种真正无处不在的技能,就像识字一样,那就太好了。

就目前来看,VPL只是一个小众的兴趣,还没有真正成为主流。

我们应该做些什么不同的事情

all computer science majors should be required to double major- coupling the CS major with one of the humanities. Painting, literature, design, psychology, history, english, whatever. A lot of the problem is that the industry is populated with people that have a really narrow and unimaginative understanding of the world, and therefore can't begin to imagine a computer working any significantly differently than it already does. (if it helps, you can imagine that I'm talking about someone other than you, the person reading this.) Mathematics is great, but in the end it's just a tool for achieving. we need experts who understand the nature of creativity, who also understand technology.

But even if we have them, there needs to be an environment where there's a possibility that doing something new would be worth the risk. It's 100 times more likely that anything truly new gets rejected out of hand, rather viciously. (the newton is an example of this). so we need a much higher tolerance for failure. We should not be afraid to try an idea which has failed in the past. We should not fully reject our own failures- and we should learn to recognize when we have failed. We should not see failure as a bad thing, and so we shouldn't lie to ourselves or to others about it. We should just get used to it, because it is just about the only constant in this ever changing industry. Post mortems are useful in this regard.

One of the more interesting things, about smalltalk, I think, was not the language itself, but the process that was used to arrive at the design of smalltalk. The iterative design process, going through many many revisions- But also very carefully and critically identifying the flaws of the existing system, and finding solutions in the next one. The more perspectives, and the broader the perspectives we have on the situation, the better we can judge where the mistakes and problems are. So don't just study computer science. Study as many other academic subjects as you can get yourself to be interested in.

互联网本身早于1980年,但由蒂姆·伯纳斯-李提出并实现的万维网(“通过简单机制分布式超文本”)始于1989/90年。

虽然超文本的概念以前就存在(Nelson的Xanadu曾尝试实现分布式方案),但WWW是实现分布式超文本系统的一种新方法。Berners-Lee以一种强大且易于实现的方式将简单的客户机-服务器协议、标记语言和寻址方案结合在一起。

我认为大多数创新都是以一种原创的方式重新组合现有的作品。万维网的每一部分以前都以某种形式存在过,但两者的结合只有在事后才变得明显。

我确信你现在正在使用它。

这是一个消极的结果,作为一个“基础创新”很奇怪,但我认为适用,因为它开辟了新的研究领域,关闭了无用的领域。

分配共识的不可能性:2001年PODC影响力论文奖

We assumed that the main value of our impossibility result was to close off unproductive lines of research on trying to find fault-tolerant consensus algorithms. But much to our surprise, it opened up entirely new lines of research. There has been analysis of exactly what assumptions about the distributed system model are needed for the impossibility proof. Many related distributed problems to which the proof also applies have been found, together with seemingly similar problems which do have solutions. Eventually a long line of research developed in which primitives were classified based on their ability to implement wait-free fault-tolerant consensus.

个人广播通信

Facebook、Twitter、Buzz、柴酷……实现是不同的,侧重于不同的方面-管理受众,简洁性,讨论。特定的服务来来去去,但新的通信概念仍然存在。博客当然是这一切的开端,但新的服务使交流变得具有社会性,这是一个本质的区别。

虽然不太确定这是否属于计算的范畴,但这是很重要的,只有通过计算和网络才能实现。