在操作系统核心开发中使用函数式编程/语言。

自然语言处理。我第一次遇到这种情况是在20世纪90年代初，当时使用的是赛门铁克(Symantec)的一个名为Q&A的程序，它允许您通过键入英文查询来查询数据库。直到今天，我仍然对它印象深刻。

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。

我认为没有什么重要的东西被发明出来。但自80年代以来，人们对软件的看法发生了很大变化。那时有更多的理论家参与其中，现在你在一个程序员论坛上问这个问题。

当时的大多数想法都没有得到实施，或者即使实施了，它们也没有任何真正的重要性，因为当时的软件行业还不存在，市场营销、人力资源、开发阶段或alpha版本也不存在:)。

Another reason for this lack of inventions is the fact that most people use Windows:) dont get me wrong, i do hate M$, but look at it this way: you have a perfectly working interface, with nothing new to add to it, maybe just some new colored buttons. Its also closed enough so you wont be able to to anything with it without breaking it. Thats why i prefer open apps, this way you get more "open" people, to whom yo can actually talk, ask then questions, propose new ideeas that actually gets implemented, or at least put on an open todo-list, thus you get some kind of "evolution". You dont really see anything new because you are stuck with the same basic interface "invented" lots of years ago... did anyone actually tried ION window-manager in a production environment? It has a new kind of interface, and actually lets you do things faster, event it it looks quirky

M$, Adobe..you name it,holds lots of patents so you wont be able to base your work on them, or derivatives(you also wont know what kind of undeveloped tehnologies they hold). Look at MP3 and GIF as examples( i belive that they are both free formats now, but they are also kinda dead..) MP3 is the 'king' of audio evend if there are few algorithms out there much better that it..but didnt get enough traction because they weren't pushed on the consumer market. The GIF... come on, 256 colors??? From this point of voew i'm curios how many people from this thread are working on something "open" that will get to be reused in some other projects, and how many on "closed", protected by NDA's projects?

即使这听起来有点像“免费的威利”，但在80年代，软件是免费的，所有东西都有文档，所有硬件都更简单，更容易使用……同时也更加有限，所以人们并没有浪费时间去执行3d游戏或网页，而是致力于真正的算法。

当然，1980年以前是施乐PARC的辉煌时期。在图形用户界面、鼠标、激光打印机、互联网和个人电脑刚刚诞生的时候。(鉴于我太年轻了，不可能活在那个年代，而你几乎在努力发明所有这些东西，关于1980年的事情，我不能告诉你任何你不知道的事情，所以我们继续吧。)

The thing is, though, that the pre-1980 days were a lot more vibrant in terms of truly disruptive new technologies. That's the way it is with any new field -- hwo many game-changing technology advances have you seen in railroads in the past 100 years? How many have you seen in lightbulbs? In the printing press? Once something ignites a hype in the right circles, there is an explosive period of invention, followed by a long period of maturing. After that, you're not going to see the same kind of completely radical changes again UNLESS the basic circumstances change.

幸运的是，这可能会发生在一些领域，而且已经发生在其他一些领域:

Mobility - smart phones bring computing to a truly portable platform, which will soon include location-based services and proximity-based ad-hoc networks. It's a completely new paradigm that's potentially as game-changing as the GUI has been The WWW (HTTP, HTML and DNS) has already been mentioned and is an obvious addition to the list, since it is enabling global, inexpensive, mainstream rich communication across the globe - all thanks to a computing platform On the interface side, both touch, multitouch (Jeff Han comes to mind) and the Wiimote need mentioning. Currently, they are basically curiosities, but so were the early GUIs. OOP design patterns -- higher level solutions as best practices to hard problems. Depending on your definition of 'computing', it may or may not belong on the list, but if you count OOP as a significant advance pre-1980 (I certainly do), I think design patterns and the GoF deserve a mention too Google's PageRank and MapReduce algorithms - I am pleased to notice I wasn't the first to mention them, and seriously --- where would the world be without the principles of both of them? I vividly remember what the world looked like before them, and suffice it to say Google really IS my friend. Non-volatile memory -- it's on the hardware side, but it is going to play a significant role in the future of computing - making bootup times a thing of the past, for example, and enabling us to use computers in entirely new ways Semantic (natural language) search / analysis / classification / translation... We're not quite there yet, but companies like Powerset give the impression that we're on the brink. On that note, intelligent HTMs should be on this list as well. I am yet another believer in Jeff Hawkins' model and approach, and if it works, it will mean a complete redefinition of what computers can do, what it means to be human, and where the world can go from here. Creating a real intelligence in that way (synthetically) would be bigger than anything the human race has accomplished before. GNU + Linux 3D printing / rapid prototyping (and, in time, manufacturing) P2P (which also lead to VoIP etc.) E-ink, once the technologies mature a bit more RFID might belong on the list, but the verdict is still out on that one Quantum Computing is the most obvious element on the list, except we still haven't been able to get enough qubits to play along. However, my friends in the field tell me there's incredible progress going on even as we speak, so I'm holding my breath for that one. And finally, I want to mention a personal favourite: distributed intelligence, or its other name: artificial artificial intelligence. The idea of connecting a huge number of people in a network and allowing them access to the combined minds of everyone else through some form of question answering interface. It's been done a number of times recently, with Yahoo Answers, Askville, Amazon Mechanical Turk, and so on, but in my mind, those are all missing the mark by a LOT... much like the many implementations of distributed hypertext that came before Tim Berners-Lee's HTML, or the many web crawlers before Google. Seriously -- someone needs to build an search interface into 'the hive mind' to blow everyone else out of the water. IMHO - it is only a matter of time.

bt。它完全颠覆了以前看似显而易见的不可改变的规则——一个人通过互联网下载一个文件所需的时间与下载该文件的人数成正比。它还解决了以前的点对点解决方案的缺陷，特别是围绕着“吸血”，以一种有机的解决方案本身的方式。

BitTorrent优雅地将通常的缺点——许多用户试图同时下载一个文件——转变为优点，将文件在地理位置上分发，这是下载过程的自然组成部分。它优化两个对等点之间带宽使用的策略不鼓励作为副作用的“吸血”——强制节流符合所有参与者的最佳利益。

这是一种一旦被别人发明出来，即使不明显，也似乎很简单的想法。