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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。

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.

这是一个很难回答的问题，因为在那之后，除了硬件的改进之外，几乎没有什么东西是具有重大积极意义的发明。虽然在20世纪80年代之前，有许多重大的发明只影响人们，但现在，因为它们在当时是不可行的。

见鬼。血统

声明性编程。

1979年，“计算机程序”势在必行。程序员应该指导编译器做什么和怎么做。(N1)

今天,ASP。NET WebForms和WPF程序员经常在不知道或不关心它将如何实现的情况下编写代码。维基百科还有其他不那么主流的例子。此外，所有sgml派生的“标记”语言都是声明性的，我怀疑1979年的许多程序员是否能预测到它们在30年后的重要性或普遍性。

尽管声明式编程的概念在1980年之前就存在了(参见这篇1975年的论文)，但它的发明是在1985年Caml的引入(有争议)或1990年Haskell的引入(争议较少)时出现的。从那时起，声明式编程越来越受欢迎。而且，当大规模多核处理器最终到来时，我们都将成为声明式程序员。

-- 注: 我不能直接证明这一点，因为1979年我还是个胎儿。 从其他答案来看，人们似乎混淆了概念和发明。达·芬奇构想了直升机，但他没有发明它。这个问题是关于计算机发明的。 请不要在评论中提到Prolog (rel. 1975)，除非你真的用它开发了一个应用程序。

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。

Damas-Milner type inference (often called Hindley-Milner type inference) was published in 1983 and has been the basis of every sophisticated static type system since. It was a genuinely new idea in programming languages (admitted based on ideas published in the 1970s, but not made practical until after 1980). In terms of importance I put it up with Self and the techniques used to implement Self; in terms of influence it has no peer. (The rest of the OO world is still doing variations on Smalltalk or Simula.)

类型推断的变化仍在上演;我最喜欢的变体是Wadler和Blott的解决重载的类型类机制，后来发现它为类型级别的编程提供了非常强大的机制。这个故事的结局还在书写中。