人文学科的最后战争
# 人文学科的最后一战
对于许多代人来说，知识一直是确保人类能够创造自身价值的工具。这种力量正处于向少数依赖其闭源价值的公司转移的边缘，知识的完整性完全掌握在他们手中。“知识就是力量”这一理念变得愈发明显，且越来越集中于少数人手中。
> 第一阶段 - 数据挖掘
真正的价值尚未显现。成本高昂，克隆每一个数据源都是一项艰巨的任务。幸好有一些开源项目，提供免费的数据（https://index.commoncrawl.org/），几百个PB的数据应该是一个不错的起点。
> 第二阶段 - 依赖性创造，价值低于成本
让我们从商业基础知识开始，掠夺性定价（https://en.wikipedia.org/wiki/Predatory_pricing）应该是一个好的起点。我们很懒，既然我们已经收集了6.4 PB的数据，就把剩下的收集工作留给那些愿意付费的用户，让我们可以使用他们的数据（https://help.openai.com/en/articles/5722486-how-your-data-is-used-to-improve-model-performance），这多好啊！
> 第三阶段 - 排挤竞争对手
哦，天哪！大多数人将他们的问题输入到我们的模型中，忽视其他开源和开放知识转移（https://blog.pragmaticengineer.com/stack-overflow-is-almost-dead/）。
他们选择忽视这些，任其消亡，因为流量的缺乏意味着广告等收入不再得到支持，导致竞争对手迟早破产。互联网因此而衰退，发布任何内容都变得毫无意义，因为它们只会被挖掘并成为那些大模仿者的牺牲品。真是太酷了，你们正在为他们做工作！
> 第四阶段 - 盈利
知识现在已经集中化；人们习惯于随便输入一个提示就能得到答案，无论他们的活动是什么。他们像僵尸一样服从，无论提示机器输出什么，他们都会相信，因为他们的理智一点点地在流失。这可能不会那么快发生，但如果每个人都在对你撒谎，你会失去理智，最终自己也会相信这些谎言（https://en.wikipedia.org/wiki/Asch_conformity_experiments）。无论提示机器背后是谁，他们现在都能控制你。
灵感来源：
https://ia801705.us.archive.org/4/items/Various_PDFs/NeilPostman-AmusingOurselvesToDeath.pdf
查看原文
# Humanties last war<p>For many generations, knowledge has been a tool to ensure that humankind is able to produce a value of its own. This power is on the edge of shifting towards a few companies that rely on its value closed-source. Leaving the integrity of knowledge solely in their hands. Scientia potentia est has become more distinct and clearer, being centric around a few.<p>> Phase 1 - Mining
The real value is not here yet. The costs are immersive, and cloning every source of data is pain. How good that there are open source projects, that provide the data for free (https://index.commoncrawl.org/) a few Petabytes should be a good starting point.<p>> Phase 2 - Creating dependency, for less than the value
Let’s start with a business 101 here, Predator pricing (https://en.wikipedia.org/wiki/Predatory_pricing) should be a good starting point. We are lazy, as we just collected 6.4 PB of data we just leave the rest of the collection to the users that pay that we can use their data (https://help.openai.com/en/articles/5722486-how-your-data-is-used-to-improve-model-performance), how good is that!<p>> Phase 3 - Bleeding out competition
Oh, shit! The most people feed their problems into our model, leaving other open source, and open knowledge transfer (https://blog.pragmaticengineer.com/stack-overflow-is-almost-dead/).
They ignore them and let them die because the lack of traffic means that advertising, for example, is no longer financed, causing competitors to go bankrupt sooner or later. The internet is dying as a result, and it's not worth publishing anything because it will just be mined and fall victim to the big copycats. How cool that you're doing their work for them!<p>> Phase 4 - Profit
Knowledge is now centralised; people are bred to be accustomed to simply throwing a prompt somewhere and getting an answer for all their activities anyway. They obey like zombies, and no matter what comes out of the prompt machine, they will believe it because they are losing their minds bit by bit. It may not work so quickly, but if everyone keeps telling you lies, you will lose your mind and eventually believe the lies yourself (https://en.wikipedia.org/wiki/Asch_conformity_experiments). No matter who is behind the prompt machine, they will now be able to control you.<p>Inspiration:
https://ia801705.us.archive.org/4/items/Various_PDFs/NeilPostman-AmusingOurselvesToDeath.pdf