KORU Theory Archive · When Learning Is Free: Job Allocation and the Education Bubble

When Learning Is Free: Job Allocation and the Education Bubble

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English

When Learning Is Free: Job Allocation and the Education Bubble

When learning is free, the scarce thing is no longer knowledge — it is the job.
— KORU turns education from selling diplomas into allocating jobs and rebuilding the network.

One of the key cores is job vacancies — how positions are allocated matters enormously. As the barrier to learning keeps dropping, the distribution of every kind of service has to become more balanced: job resources cannot all be concentrated in the big cities, and the types of jobs must be diverse — general doctors, surgical specialists, repair technicians, software roles, and so on — with verification-and-learning roles covered in step.

AI is mainly responsible for coordinating and scheduling this pool of job resources. Creative roles can be set up as well; in the early stage humans still operate the AI, and later it can gradually transition until it finally runs on its own.

In the end the whole system forms one complete pattern: it draws funds from the rich, then guides the poor to spend again, and uses that to drive the economy. First we have to be clear about one core concept: what is a poor person? A poor person is someone with no income at all. Give such a person 1,000 and they simply cannot hold on to it — they can't even keep 2 — because the poor already live in a state of consumption overdraft. That is what real poverty is.

Money flows upward in tiers. If society is divided into five layers, the funds of the bottom fourth and fifth layers flow up to the fourth layer; the fourth layer's spending then flows to the third; the third to the second; and finally up to the first. After that, everyone redistributes resources again on their own merits — that is a healthy economic cycle.

Right now education has become the biggest economic bubble. In the future the core of education will no longer be teaching alone; it will be responsible for allocating employment slots — making clear where each person is headed for work and where they will work. Future education leans more toward being a place to expand one's network, and that kind of networking and social scene will most likely happen online.

中文

学习门槛归零之后:岗位分配与教育泡沫

学习的门槛正在归零,真正稀缺的不再是知识,而是岗位。
— KORU 让教育从卖文凭,变成分配岗位、重建人脉。

其中一个关键核心是岗位职缺,岗位分配尤为重要。未来学习的门槛会越来越低,因此各类服务的分布要更均衡:不能把岗位资源全部集中在大城市,岗位类型要多样化,比如普通医生、外科手术医生、维修工、软件相关岗位等,验证学习类岗位也要同步覆盖。

人工智能主要负责统筹调度这类岗位资源;同时也可以设置创意类工作岗位,前期依旧需要人工操控人工智能,后期可以逐步过渡,最终实现自动化运作。

最终整个体系会形成一套完整模式:依靠抽取富人的资金,再引导穷人重新进行消费,以此驱动经济运转。首先要明确一个核心概念:什么是穷人?穷人指完全没有收入的群体。给这类人 1000 块钱,他们根本存不下钱,甚至连 2 块钱都存不住,因为穷人本身就处于消费透支的状态,这才是真正的贫困。

资金会形成层级向上流转:如果社会人群分为五层,底层第四、第五层的资金会向上流转至第四层,第四层的消费资金再流向第三层,第三层流向第二层,最终流转至第一层;之后所有人再各凭本事重新分配资源,这才是良性的经济循环。

目前教育已经成为最大的经济泡沫。未来教育的核心不再只是单纯教学,而是要负责分配就业坑位,明确每个人的就业去向、工作地点;未来教育更偏向于人脉拓展的场所,而这类人脉社交场景,大概率会在线上发生。