我们需要的是重组，而不是再造。

我们现在拥有所有我们需要的硬件和软件组件，在未来几年里做一些令人惊叹的事情。

我相信科学中有一种疾病，参与者总是试图发明一些新的东西来区别于别人。这与做一些编目或教授旧作品的混乱工作形成了鲜明对比。

建造“新”东西的人通常被认为比重用现有的和几乎古老的作品的人有更高的血统。(对于一个20岁的年轻人来说，Lisp的开发时间是他们生命的两倍还多。1958)

好的旧想法需要复活并广泛传播，我们需要停止试图建立企业或程序员运动，有效地践踏旧的作品和系统，在权力游戏中成为下一个新事物——事实上，大多数“新的闪亮”事物只是旧想法复活的方面。

The mouse - There have been posts about human interaction. To me, the mouse was the gateway to human interaction. Without it, we'd still be typing and not clicking in dragging, even with our fingers. GUI - Complimented the mouse perfectly. I work in an environment where an as400 is the backend of one of our major apps. Yeah.. Interesting stuff but it just reminds me of the screens 'Bill Gates' is working in in the movie 'Pirates of Silicon Valley' even though that's not what it was. To me, 1 and 2 are the reason anybody, including grandpas and grandmas can use a computer. Excel / spreadsheets - Someone mentioned this before but it's work mentioning again. It's so user friendly and is a great entry point for non-technical users to try their hand at simple programming concepts when performing calculations on cells. Granted it came out before 1980, but the versions post 1980 are when the technology in spreadsheets evolved. Internet (of course) - Not sure how people wrote code without it! Don't flame me for repeating because this belongs on every list. INTELLISENSE - LOVE IT LOVE IT LOVE IT!!!!

“奇点”，以及所有类似的项目，即用托管代码开发操作系统。

设计模式使计算机科学更接近计算机工程。 GPS和互联网地址查找基于位置的交互。 面向服务的体系结构。

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.

数码相机呢?

根据维基百科，第一个真正的数码相机出现在1988年，大众市场的数码相机在20世纪90年代末变得负担得起。