如果我们作为一个团体认真地回答这个问题。 不幸的是，我相信我们需要的不仅仅是一串随机的善意的帖子! 我知道，这听起来很无聊，但经常把事情做完才是!

We Write a list of powerful ideas in the area of computing Maybe we should define a few categories to separate each one because videoconference somehow does not fit well with object oriented programming. Seeing ideas by categories makes it easier to generate them without redundancy. It's too easy to sidetrack in teleportation if quantum computing is not kept away from flying cars. Try to attribute each of them a date This will settle the before/after 1980 and restrict debate about each idea to its own. It will be fun to dig for earliest reference, first known implementation, etc. Plus this will allow people like me who were 2 years old in 1980 to have a better idea of what was common programming knowledge in 1980 (nothing beats being there at the time) Try to attribute each of them the current state of their implementation Ok, some idea were sci-fi in 1850, with early development in the 1970 and serious improvement breakthrough in the 1990. Some ideas are just starting to get around. Some are almost forgotten. Probably the wiki thing is a good idea. I think this could really get somewhere if slightly organized. I did not check, but maybe this whole thing already exist already on the net (I usually find that if you think about something, someone already did it). What do you think ? Cheers !

几乎是现代3D计算机图形学中所有重要的东西。射线追踪(在计算图形意义上)是从Whitted 1980年的论文开始的。行军立方体('87)是从3D数据中提取等值面的标准方法。

谷歌的页面排名算法。虽然它可以被看作是网络爬行搜索引擎的改进，但我要指出的是，它们也是在1980年之后开发的。

过去30年里处理器速度的大幅提升不容忽视。各种聪明的想法，如流水线和抢占式分支，以及处理器设计电子方面的改进，意味着今天的程序员可以更多地担心程序的设计和可维护性，而不必担心计算时钟周期。

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.

受保护的内存。在保护内存之前，如果你的程序犯了错误，你可以在任何地方开始执行代码——实际上总是挂起整个机器。没错，重启时间到了!

硬件成本低。我的第一台电脑在1978年花了500美元——这在当时是一笔巨款。降低成本让每个人的办公桌上都有了电脑。