All of this starts with the dictum, “There are no men at work”.
The notion of blockchain is a decentralized polity. Blockchain is immutable, for once written on to the block, it is practically un-erasable. And most importantly, it is collateralized, in that, even if there is a lack thereof of physical assets, the digital ownership could be traded as a collateral. So, once you have a blockchain, you create a stack that could be database controlled using a Virtual Machine, think of it as some sort of digital twin. So, what exactly are the benefits of this decentralized digital polity? One crucial is getting rid of intermediaries (unless, one considers escrow accounts as an invisible intermediary!, which seldom fulfills the definitional criteria). So, in short, digital twinning helps further social scalability by getting intermediaries o to an invisible mode. Now, when blockchains are juxtaposed with algorithmically run machines (AI is just one branch of it), one gets the benefits of social scalability with analytics, the ever-increasing ocean of raw data hermeneutically sealed into information for utilitarian purposes. The advantages of decentralized polity and social scalability compiles for a true democratic experience in an open-sourced modeling, where netizens (since we still are mired in the controversy of net neutrality) experience participatory democracy.
How would these combine with exigencies of scarce nature or resources? It is here that such hackathons combine the ingenuity of blockchain with AI in a process generally referred to as “mining”. This launch from the nature as we know is Nature 2.0. To repeat, decentralized polity and social scalability creates a self-sustaining ecosystem in a sense of Anti-Fragility (yes, Taleb’s anti-fragile is a feedback into this) with autonomously created machine learning systems that are largely correctional in nature on one hand and improving learning capacities from the environment on the other. These two hands coordinate giving rise to resource manipulation in lending a synthetic definition of materialities taken straight from physics textbooks and scared-to-apprehend materialities as thermodynamic quotients. And this is where AI steams up in a grand globalized alliance of machines embodying agencies always looking for cognitive enhancements to fulfill teleonomic life derived from the above stated thermodynamic quotient of randomness and disorder into gratifying sensibilities of self-sustenance. Synthetic biologists (of the Craig Venter and CRISPR-like lines) call this genetic programming, whereas singularitarians term it as evolution, a break away from simulated evolution that defined initial days of AI. The synthetic life is capable of decision making, the more it is subjected to the whims and fancies of surrounding environment via the process of machine learning leading to autonomous materialities with cognitive capabilities. These are parthenogenetic machines with unencumbered networking capacities. Such is the advent of self-ownership, and taking it to mean to nature as we have hitherto known is a cathectic fallacy in ethics. Taking to mean it differently in a sense of establishing a symbiotic relationship between biology and machines to yield bio machines with characteristics of biomachinations, replication (reproduction, CC and CV to be thrown open for editing via genetic programming) and self-actualization is what blockchain in composite with AI and Synthetic Biology is Nature 2.0.
Yes, there are downsides to traditional mannerisms of thought, man playing god with nature and so on and so on…these are ethical constraints and thus political in undertones, but with conservative theoretics and thus unable to come to terms with the politics of resource abundance that the machinic promulgates…
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[…] of artificial intelligences, HFTs and algorithmic decision making, just to sound a parallel to Nature 2.0. But, before digressing a bit too far, where is Brecht lost in the history of class consciousness […]