Bitcoin and Science: DNA is the Original Decentralized System

What is the role (if any) of Bitcoin and blockchain technology with regard to the natural world and traditional science? One obvious link is using the blockchain as a means of improving distributed community computing projects with tracking and remuneration. BOINC, whose software runs SETI@home, has introduced Gridcoin, and [Protein]Folding@home has introduced Foldingcoin. In addition, these distributed community computing models could be extended using blockchain technology as a way to coordinate and offer supercomputing time to DIYscientists; opening up access to a scarce resource which was previously only available to professional researchers (Zennet). Other projects are investigating a way to harness otherwise wasted crypto-mining cycles (where the computing problem (computing a nonce) must be deliberately intensive, wasteful, and one-way), like Primecoin’s system (http://primecoin.io/, of requiring miners to find long chains of prime numbers instead of otherwise unusable hashes.

Sense-making Models: Religion, Science, Political-Economy, Information
There is a more fundamental link between the blockchain and science in the grand scope of our human models for making sense of the world: religion, science, political-economy, and now information. Information is an interesting paradigm by which we are starting to see the structure of the world and make sense of it, both in physical and digital reality. The blockchain is an information technology, and the Internet and the blockchain provide a heightened information climate; a means of improving and modulating the resolution of information through faster more-expedient transfer, discovery, deployment, and use.

Information as a Sense-making Paradigm Reconfigures Science
The reach of information as a sense-making paradigm can be seen in how this idea is reconfiguring approaches to science. One way is in the growth and pervasiveness of big data and data-intensive science. Nearly every field of traditional study now has a computational complement (computational biology, computational astronomy, computational philosophy, computational law, etc.). The scientific method is transformed from a narrow hypothesis-experimentation loop to dynamic hypothesis formation per large-data results, vastly scaling the degree of experimental activity.

DNA: The Original Decentralized System
Even more profoundly, information is changing how we think about problems in science. For example, the old thinking was that chemistry and molecular biology are the conditions for life, and this is true in the sense that they are the substrate, the hardware for life. But now life is being seen as an information problem. Biology is a software system that runs on the substrate of chemistry and molecular biology. Wetware biology is the language of information, a software system to signal, transcribe, transmit information, encode and decode information, and send secure messages; a lot like a blockchain system. Biology is perhaps the original decentralized system; every cell has the full instruction set, the organism’s entire DNA, like Bitcoind nodes have the full ledger of every transaction.

Alt approaches to AGI

50+ year old attempts at creating AGI have not been successful. It is possible that AGI cannot be generated from current methods and technologies; the wrong tool is being used, sort of like trying to build a 747 with a toothbrush. Electromagnetism, silicon and Von Neumann architectures may not ever have the capacity to achieve AGI even allowing for continued increases in processing, storage and memory and architectural shifts such as parallelism.

Other substrates might work
Getting around the rigidity of Von Neumann, mathematical, logic-based, computational approaches, symbolic approaches and traditional computers, other computational substrates like quantum computing, DNA computing, etc. might work and also those that humans have not yet invented, discovered or exploited for this purpose like light, air, memes and information. There must be other substrates, and other viable approaches that are not constrained by mathematics and logic.

Information as a substrate
Narrowly, the only existing example of general intelligence is the human brain and the basic requirements of AGI are self-replication and self-improvement. Considering self-replication, there are many examples of more effective self-replication than humans, for example, memes, disease and microbes. Considering self-improvement, memes also self-improve more effectively than humans as they are refined through repetition, and have the unbounded ceiling for improvement of true AGI.

Taking advantage of the self-reproducing and self-improving properties and using memes and information as a novel computing substrate might be one way of extending AGI progress.

Information as a substrate could be developed symbiotically with a very broadly applicable new understanding of the laws of physics based on information and entropy as opposed to mass and energy.