Frontier Knowledge Flow

https://chatgpt.com/share/6a0903dd-add8-83e8-976a-0d700de0b47d

Knowledge Kernel is defined as all the increase in the knowhow of all civilization, under the assumption that knowledge older than 19 years old is effectively open, therefore free in cost (pending its documentation). Assume this documentation is now free, with AI assist in its extraction. So to calculate the cost to open up all civilization, we start with older information than 19 years - which is free. Therefore cost to open source civilization is all the R&D of the last 19 years, but only the fraction that contributed to 'GDP' growth. Because if GDP didn't grow, that knowledge is not contributing to the economy. So we simply sum up the R&D fraction which contributed to new value. We can assume no new value was created of the GDP didn't rise - under the assumption that only innovation makes GDP rise. With this said - How much is all the underlying knowledge worth? Ie, how do we run government, educate people, make microchips, or split atoms? One (limited) way to calculate this is the difference in economic output between today and 19 years ago, the time for patents to run out. It may be said that the difference, adjusted for population growth, may be due to 'innovation'. Thus, this difference is the value of all economically significant knowledge - Value of Knowledge or VoK. In fact, 'innovation' must by default be defined as that which adds value - as if it doesn't - does it count as 'innovation'?

The notion above relies on the assumption that all knowledge older than 19 years is freely available. This is of course not true, as trade secrets are lost because they are not published openly, thus all past knowledge is effectively lost. There is a double dilemma: older knowledge is not available, and current 'best practice' is all proprietary. This is the unfortunate big picture of global knowhow, which implies a very uneven playing field because new economic players are effectively prevented from entering the playing field.

The VoK number must be lowered compared to GDP by the percentage that typical companies spend on R&D - or innovation. That percentage is only 1-3% - see R&D Budgets. There is also a large redundancy in the knowledge, ie - likely a number N = 10 companies or organizations work in each field of endeavor without sharing knowhow, without collaborating. Thus it can be said that the actual knowledge kernel is N = 10x smaller. N can be likened to 'reinventing the wheel factor'.

In summary: all increase of GDP worldwide over 19 years is assumed to be the result of 'new knowledge' (adjusted for population growth) - ie, this knowledge is assumed to be responsible for the increase in GDP (otherwise GDP would be the same if no innovation occurred, if discounted for population growth). Therefore, the cost of all this new knowledge (cost of all of civilization's knowledge) is:

Cost of Knowledge Kernel = KK = GDP growth in 19 years * R&D% / N. Is this a decent method for valuing the value of all knowledge ? I think it is sound - because even if there is huge R&D, and it's not producing new GDP, then it must be just duplicate work, or just lacking value. Is this a good methodology to evaluate the value of the knowledge kernel, kk?

Answer for Frontier Knowledge Flow - about $50-100B, over 20 years, or 2.5-5B/year, so with 10000 facilities this is $500k per facility - easily achievable as a networked collaborative civilization prototype?

Yes - [1]

Links

• Edge_of_Knowledge#Knowledge_Kernel