这个问题来自于对过去50年左右计算领域各种进展的评论。
其他一些与会者请我把这个问题作为一个问题向整个论坛提出。
这里的基本思想不是抨击事物的现状,而是试图理解提出基本新思想和原则的过程。
我认为我们在大多数计算领域都需要真正的新想法,我想知道最近已经完成的任何重要而有力的想法。如果我们真的找不到他们,那么我们应该问“为什么?”和“我们应该做什么?”
这个问题来自于对过去50年左右计算领域各种进展的评论。
其他一些与会者请我把这个问题作为一个问题向整个论坛提出。
这里的基本思想不是抨击事物的现状,而是试图理解提出基本新思想和原则的过程。
我认为我们在大多数计算领域都需要真正的新想法,我想知道最近已经完成的任何重要而有力的想法。如果我们真的找不到他们,那么我们应该问“为什么?”和“我们应该做什么?”
当前回答
回答“为什么新思想会消亡”和“如何应对”这两个问题?
I suspect a lot of the lack of progress is due to the massive influx of capital and entrenched wealth in the industry. Sounds counterintuitive, but I think it's become conventional wisdom that any new idea gets one shot; if it doesn't make it at the first try, it can't come back. It gets bought by someone with entrenched interests, or just FAILs, and the energy is gone. A couple examples are tablet computers, and integrated office software. The Newton and several others had real potential, but ended up (through competitive attrition and bad judgment) squandering their birthrights, killing whole categories. (I was especially fond of Ashton Tate's Framework; but I'm still stuck with Word and Excel).
怎么办呢?首先想到的是Wm。莎士比亚的建议:“让我们杀了所有的律师。”但恐怕他们现在装备太精良了。实际上,我认为最好的选择是找到某种开源计划。它们似乎比其他选择更好地保持可访问性和增量改进。但是这个行业已经变得足够大了,所以某种有机的合作机制是必要的。
I also think that there's a dynamic that says that the entrenched interests (especially platforms) require a substantial amount of change - churn - to justify continuing revenue streams; and this absorbs a lot of creative energy that could have been spent in better ways. Look how much time we spend treading water with the newest iteration from Microsoft or Sun or Linux or Firefox, making changes to systems that for the most part work fine already. It's not because they are evil, it's just built into the industry. There's no such thing as Stable Equilibrium; all the feedback mechanisms are positive, favoring change over stability. (Did you ever see a feature withdrawn, or a change retracted?)
关于SO的另一个讨论线索是臭鼬工厂综合症(参考:Geoffrey Moore):在大型组织中,真正的创新几乎总是(90%以上)出现在自发出现的未经授权的项目中,这些项目完全由个人或小团队的主动性推动(通常会受到正式的管理等级的反对)。所以:质疑权威,反抗体制。
其他回答
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。
作为Debian用户,我会投票给包管理。它让OSX和Windows 7看起来像是原始的业余玩物。
但是由于前面已经提到了包管理,我将投票给x。网络透明窗口服务器使许多应用程序成为可能。能够无缝地在同一屏幕上并行地调用在不同计算机上运行的程序真是太棒了。
这在80年代后期更令人印象深刻。
回答“为什么新思想会消亡”和“如何应对”这两个问题?
I suspect a lot of the lack of progress is due to the massive influx of capital and entrenched wealth in the industry. Sounds counterintuitive, but I think it's become conventional wisdom that any new idea gets one shot; if it doesn't make it at the first try, it can't come back. It gets bought by someone with entrenched interests, or just FAILs, and the energy is gone. A couple examples are tablet computers, and integrated office software. The Newton and several others had real potential, but ended up (through competitive attrition and bad judgment) squandering their birthrights, killing whole categories. (I was especially fond of Ashton Tate's Framework; but I'm still stuck with Word and Excel).
怎么办呢?首先想到的是Wm。莎士比亚的建议:“让我们杀了所有的律师。”但恐怕他们现在装备太精良了。实际上,我认为最好的选择是找到某种开源计划。它们似乎比其他选择更好地保持可访问性和增量改进。但是这个行业已经变得足够大了,所以某种有机的合作机制是必要的。
I also think that there's a dynamic that says that the entrenched interests (especially platforms) require a substantial amount of change - churn - to justify continuing revenue streams; and this absorbs a lot of creative energy that could have been spent in better ways. Look how much time we spend treading water with the newest iteration from Microsoft or Sun or Linux or Firefox, making changes to systems that for the most part work fine already. It's not because they are evil, it's just built into the industry. There's no such thing as Stable Equilibrium; all the feedback mechanisms are positive, favoring change over stability. (Did you ever see a feature withdrawn, or a change retracted?)
关于SO的另一个讨论线索是臭鼬工厂综合症(参考:Geoffrey Moore):在大型组织中,真正的创新几乎总是(90%以上)出现在自发出现的未经授权的项目中,这些项目完全由个人或小团队的主动性推动(通常会受到正式的管理等级的反对)。所以:质疑权威,反抗体制。
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。
获取海量数据。
与上世纪80年代相比,我们现在所拥有的数据的规模和规模是巨大的。为了能够存储和显示这些东西,我们不得不对硬件和软件进行大量更改。总有一天,我们会真正学会如何筛选和挖掘有用的东西。有一天。
保罗。