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。

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.

来回答一个稍微不同的问题。我认为我们需要在隐私、信任和声誉方面有大的想法。我的电脑几乎能捕捉到关于我的一切，我在哪里，我说了什么，我打了什么，我看到了什么……大量的信息和同等数量的实体(人、商店、网站、服务)，我可能想与他们共享其中的一些信息，即使它只是一个数据块。

我的信息需要挖掘(不是谷歌的，Facebook的或苹果的)。我的计算机需要代表我使用它，因此信任需要端到端。这样我们就可以将新的信息中间商去中介化。

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。

我认为这些答案的部分问题是，它们要么没有得到充分的研究，要么是在尝试一种新的实现或一些已经看到重大“改进”的技术。然而，这并不是一项重大发明。例如，任何关于函数式编程或面向对象编程的讨论都是失败的;这些想法在大多数SO参与者出生之前就已经流传了。

标签，信息分类的方式。是的，就是每个问题下面的小方框。

令人惊讶的是，标签发明花了大约30年的时间。我们使用了目录和目录;我们使用了为印刷书籍优化的东西。

然而，30年比人们意识到印刷书籍可以用更小的格式的时间短得多。人们可以把书放在手里。

我认为核心CS玩家低估了标签概念。所有的研究都集中在自然语言处理(自顶向下的方法)。但是标签是第一种计算机和人类都能很好理解的语言。这是一种自底向上的方法，使计算机使用自然语言。