赋予人类思考和决定的能力
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In a sense, you are what you decide. However, to grasp the context of all that truly matters, people need the ability to consume and process data from a variety of sources in real time, and compute with it. Human brains are not adapted to do this rate of new information, and so, various systems exist to answer specific questions. However, there is no single tool to coherently combine them all the personal research that individuals have into their personal, reusable, actionable and programmable digital assets, which, at individual level, prevents them from competing with large organizations, that do have advanced decision support systems.
We need to empower individual humans to think and decide with automated data acquistion and reasoning systems, so that they stay relevant in age of information explosion, and the rise of AI-powered organizations.
[标记为重要]，这可以是标签吗？
[marked-as-important], could this be a tag?
人类会影响所有物种在地球上的生命，因此使人们能够更好地思考至关重要。
“没有一个单一的工具可以将个人拥有的所有个人研究统一地整合到他们的个人，可重用，可操作和可编程的数字资产中”
-将知识和专有技术组织到个人图书馆中的工具将很有帮助。
Humans impact life on Earth for all species, so it is key to enable people to think better.
"there is no single tool to coherently combine them all the personal research that individuals have into their personal, reusable, actionable and programmable digital assets" -- A tool for organising knowledge and know-how into personal libraries would be helpful.
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好吧，到目前为止，最好的是某些笔记系统。有些比其他人更接近理想。例如，[zim-wiki.org]（https://zim-wiki.org）非常适合台式机以及没有编码技能的人。诸如Dynalist mobile之类的东西首先是离线的，这意味着您可以在离线时，在某些丛林或地铁中做笔记。但是，在这两种系统中，您实际上都无法回复电子邮件或执行其他高级操作，例如可以使用Telegram机器人执行的操作。现在，想象一下您的知识系统（例如Dynalist）在某些列表（例如，来自Malibox的电子邮件列表）中具有Telegram机器人等东西，可以让您对它们进行操作。这就是我们想要的个人和私人知识，即能够直接从远程系统上对操作进行操作的能力。理想情况下，这可以通过一堆开源驱动程序来实现，我预想它可能是[metadrive]（/ project / 854 / Metadrive）的应用程序之一，但尚未投入生产。但是，我认为最好以一种简单的方式让我们能够轻松掌握所有需要思考和决定的系统。
Well, at this point, the best that is out there, is certain note-taking systems. Some come close to the ideal than others. For example, zim-wiki.org is pretty good for desktop, and for people without coding skills. Something like, e.g., Dynalist mobile is off-line first, meaning you can make notes while offline, in some jungle or a subway. However, in neither of these systems you can actually reply to your e-mails, or do other advanced actions, like those that you can do with Telegram bots. Now, imagine that your knowledge system (something like Dynalist) had something like Telegram bots for certain lists (e.g., list of E-mails from your malibox), that let you call actions on them. That is what we'd want in the personal and private knowledge, -- ability to take actions on remote systems directly from it. That would ideally be implemented by a bunch of open source drivers, and I envision that could be one of the applications for the metadrive, which is still not production-ready. However, I think it would be great to have all systems that we need to think and decide at the user's fingertips, in a simple way.
我研究了两个系统来帮助决定
一个叫做fact collector，另一个叫做correlation engine
I worked on two systems to help deciding
one is called fact collector and the other is correlation engine
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如果有人认为思考是说话，那么您可以将思考视为查询创建。
你探索一个想法并使用“作为”这个词。
因此，想象人们被联网，而沟通是人与人之间的联系。将人们组合成一个完全链接的网格，你就有了弹性的沟通。
这是一种“作为”的想法——将一件事视为另一件事。
从这里开始，我们依靠前件式、前件式和溯因推理、归纳推理和演绎推理来隔离我们思维的效果或意义。
人们需要擅长查询创建才能更好地思考。
当我创建事实收集器时，我可以使用逻辑编程语言序言对任意事实进行推理。我制定了一条规则，如果我喜欢的人不喜欢我，那么我要小心他们。该规则表示为
推理 and(likes(sam, X), \ (likes(X, sam))).",
其中 \ 表示“不”。
如果你能想到好的查询，你就能有效地思考。生成假设问题。有大量数据可以用来让人们更快乐地过更有意义、有目的的存在
If someone thinks of thinking as talking, then you can think of thinking as query creation.
You explore a thought and you use the word "as".
So imagine people being networked and communication being links between people. Combine people into a fully linked lattice and you have a resilient communication.
This is an "as" thought - seeing one thing as another thing.
From here we rely on modus ponens, modus tollens and abductive and inductive and deductive reasoning to isolate effects or meaning of our thinking.
People need to get good at query creation to think better.
When I created fact collector I could reason over arbitrary facts using a logic programming language prolog. I created a rule that was if someone I liked doesn't like me then I am to be cautious of them. This rule was represented as
Inference and(likes(sam, X), +(likes(X, sam))).",
Where + means "not".
If you can think of good queries you can think effectively. Generate what if questions. There is an abundance of data that could be used to cause people to be happier live more meaningful purposeful existences