HTM系统(分层时态记忆)。

人工智能的一种新方法，由杰夫·霍金斯通过《论智能》一书发起。

现在是一家名为Numenta的公司，通过开发“真正的”人工智能来测试这些想法，并邀请社区通过sdk使用该系统来参与。

它更多的是从头开始构建机器智能，而不是试图模仿人类的推理。

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 (Did you ever see a feature withdrawn, or a change retracted?)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。

我认为，在1980年，如果你在使用一台电脑，你要么是在赚钱，要么就是一个极客……那么发生了什么变化呢?

Printers and consumer-level desktop publishing. Meant you didn't need a printing press to make high-volume, high-quality printed material. That was big - of course, nowadays we completely take it for granted, and mostly we don't even bother with the printing part because everyone's online anyway. Colour. Seriously. Colour screens made a huge difference to non-geeks' perception of games & applications. Suddenly games seemed less like hard work and more like watching TV, which opened the doors for Sega, Nintendo, Atari et al to bring consumer gaming into the home. Media compression (MP3s and video files). And a whole bunch of things - like TiVO and iPods - that we don't really think of as computers any more because they're so ubiquitous and so user-friendly. But they are.

我认为，这里的共同点是曾经不可能的事情(制作打印文档;准确再现彩色图像;实时向世界各地发送消息;分发音频和视频材料)，当时因为设备和物流成本昂贵，现在是消费者水平。那么，大公司现在在做什么过去是不可能的，但如果我们能想出如何做小而便宜的事情，可能会很酷?

任何涉及物理运输的东西都是有趣的。视频会议(目前)还没有取代真实的会议，但如果技术合适，它仍有可能取代真实的会议。一些休闲旅行可以被全感官沉浸式环境所取代——家庭影院就是一个微不足道的例子;另一个是位于Soho区一栋写字楼内的“虚拟高尔夫球场”，在这里，你可以在模拟球场上打18洞真正的高尔夫球。

不过，对我来说，下一个真正重要的事情将是制造。做的事情。勺子，吉他，椅子，衣服，汽车，瓷砖什么的。这些仍然依赖于生产和分销基础设施。我再也不用去商店买电影或专辑了——什么时候我就不用去商店买衣服和厨具了?

Sure, there are interesting developments going on with OLED displays and GPS and mobile broadband and IoC containers and scripting and "the cloud" - but it's all still just new-fangled ways of putting pictures on a screen. I can print my own photos and write my own web pages, but I want to be able to fabricate a linen basket that fits exactly into that nook beside my desk, and a mounting bracket for sticking my guitar FX unit to my desk, and something for clipping my cellphone to my bike handlebars.

与编程无关?不…但在1980年，声音制作也不是。或者视频分发。或者给赞比亚的亲戚发信息。大处着眼，伙计们……：）

1980年1月2日我开始编程。我试着思考在我的职业生涯中有哪些重大的新发明。我很难想出一个。大多数我认为重要的东西实际上是在1980年之前发明的，但直到1980年之后才被广泛采用或改进。

Graphical User Interface. Fast processing. Large memory (I paid $200.00 for 16k in 1980). Small sizes - cell phones, pocket pc's, iPhones, Netbooks. Large storage capacities. (I've gone from carrying a large 90k floppy to an 8 gig usb thumb drive. Multiple processors. (Almost all my computers have more than one now, software struggles to keep them busy). Standard interfaces (like USB) to easily attach hardware peripherals. Multiple Touch displays. Network connectivity - leading to the mid 90's internet explosion. IDE's with Intellisense and incremental compiling.

虽然硬件有了巨大的进步，但软件行业一直在努力跟上。我们比1980年领先了几光年，但大多数改进都是改进，而不是发明。自1980年以来，我们一直忙于应用技术进步，而不是发明创造。就其本身而言，这些渐进式的发明大多不重要或不强大，但当你回顾过去29年，它们相当强大。

我们可能需要接受渐进式的改进并引导它们。我相信真正原创的想法可能会来自很少接触计算机的人，而且他们越来越难找到。

有一件事让我吃惊，那就是简陋的电子表格。非程序员的人用一个简单的公式网格就可以为现实世界的问题构建狂野而奇妙的解决方案。在桌面应用程序中复制他们的努力通常需要比编写电子表格多10到100倍的时间，最终的应用程序通常更难使用，充满bug !

我相信电子表格成功的关键是自动依赖分析。如果电子表格的用户被迫使用观察者模式，他们就没有机会得到正确的结果。

因此，最大的进步是自动依赖分析。现在，为什么没有任何现代平台(Java， .Net, Web Services)将其构建到系统的核心中呢?特别是在一个通过并行化扩展的时代——依赖关系图导致并行重新计算变得微不足道。

编辑:我刚查过。VisiCalc发布于1979年——让我们假设它是1980年后的发明。

Edit2:似乎艾伦已经注意到了电子表格——如果让他来这个论坛的问题是正确的!

HTM系统(分层时态记忆)。

人工智能的一种新方法，由杰夫·霍金斯通过《论智能》一书发起。

现在是一家名为Numenta的公司，通过开发“真正的”人工智能来测试这些想法，并邀请社区通过sdk使用该系统来参与。

它更多的是从头开始构建机器智能，而不是试图模仿人类的推理。