OK, so far I mentioned:
- the growing wealth in knowledge that is both practically beyond the grasp of a single mind,
- the obsolescence of knowledge that is directly connected to its growth (older knowledge gets rapidly superseded by new one),
- the sense of frustration at the individual level for not being able to remain abreast of what is brewing and focus on bringing home the bacon,
- the economic motivation of companies to outsource knowledge and how it has backfired (is backfiring);
- the growth in the education offer, resulting from the increased knowledge available and increased need to master that knowledge leading, however, to a further increase in the knowledge space, paradoxically increasing the hurdles rather than easing them.
There are other factors that we should take into account:
- the different way we have come to access information and knowledge. We do that more and more in a quick and dirty on demand way; and we do that on our mobile, whether we are on the move or not!
Based on latest data from 2018 mobile access to internet has overtaken fixed access and, according to Google, 58% of search in 2018 came from mobile devices. This keeps growing and the increasing adoption of AR will further push the use of mobile devices (smartphones and tablets). The growing pervasiveness of networks, their increased capacity and the trend towards creating local data bases (embedded in devices) and data bases at the edges provides the underpinning for effective availability of knowledge on demand.
- the meta-data/information/knowledge created by machines themselves, through machine learning and adversarial neural networks is introducing a further exponential growth and, more important, leads to some knowledge that will need to be taken in an empirical form (you see it and you trust it, without understanding the processes through which it has been created). This second aspect signals a crucial departure from the knowledge we have been used for millennia, i.e. acquired through the capabilities of the human brain. Now, and in the future, we will have to accept, and manage, knowledge that is beyond the human brain capability (for sure practical capabilities but possibly, think about quantum computing, also beyond its structural capabilities). This brings to the fore not just the convenience of leveraging on machines in dealing with knowledge but also on the need to rely on them.