Another New Aspiring Satoshi copyrights to the New Bitcoin Whitepaper
Recently the Cryptocurrencies Community got riled up with the recent come up over the Craig Wright’s U.S registration over the Bitcoin Whitepaper together binding with some of the codes from the early used software.
But recently on the 24th of May the U.S copyright office the firm observed saw a new Bitcoin Whitepaper registration by a certain Man named Wei Liu, which bought a new challenger to Wright’s claim over the of the Ownership of the Seminal Paper.
The infamous Craig Wright’s claim over the Satoshi Nakamoto now has a legal contender of his claim as the owner of it.
So, taking action over this Craig’s Media Claimed to have previously granted with two U.S copyrights
for the original Bitcoin Whitepaper and version 0.1 respectively containing the Bitcoin Codes.
So after the news getting to the public, the Bitcoin Community responded over it with and to which the supporters declared it as a meaningless act of the Community.
To this, the Copyright Attorney Stephan Kinsella addressed her Social media followers over such assertions are ridiculous and misrepresent the way the Copyright System works.
And as per the recent orders, the investigation to know the in-depth truth will be done as hence to let the court decide over this legal ownership battle.
This ongoing battle could be deciding the new copyright filler for the White Paper ownership so seeing back the history which suggests that the copyright claims that Wei Liu is the pseudonymous Satoshi Nakamoto and Liu’s filing cites a date of publication back to November 1, 2008.
According to the filing, which suggests Wei Liu as a Chinese citizen who declares “authorship” of the white paper’s “text.” Wei Liu’s identity is relatively unknown although he has 19 copyrights, which claim ownership to a myriad of technological achievements.
Keeping all this aside Wei Liu has even number of authored paper in different fields like that of biomechanical analysis of arms reaching, distribution kinetics, frameworks for quantitative evaluation of care coordination, and large-scale machine learning.
