Archives For technological determinism

Author Information: Gregory Sandstrom, Arena Blockchain, gregory.sandstrom@gmail.com.

Sandstrom, Gregory. “Is Blockchain an ‘Evolutionary’ or ‘Revolutionary’ Technology, and So What If It Is?: Digitally Extending Satoshi Nakamoto’s Distributed Ledger Innovation.” Social Epistemology Review and Reply Collective 8, no. 3 (2019): 17-49.

The pdf of the article gives specific page references, and includes the full text of the article. Shortlink, Part One: https://wp.me/p1Bfg0-47f. Shortlink: Part Two: https://wp.me/p1Bfg0-47m

Image by Tiger Pixel via Flickr / Creative Commons

 

Ideological Blockchain Evolutionism

There is also a position held that promotes what I call ‘ideological evolutionism’ in insisting that blockchain must be called a particularly ‘evolutionary’ phenomenon. This appears to be due largely to a broader ideological framework to which the authors are already committed.

This view requires either that blockchain should not be seen as a ‘revolutionary’ technology or use ideas available in literature produced by academics that promote something akin to the ‘evolution of everything,’ i.e. that ‘everything evolves’ based on the logic that ‘everything changes.’ This ideology is professed in the works of Matt Ridley and David Sloan Wilson among others.

Patrick T. Harker, President and Chief Executive Officer for the Federal Reserve Bank of Philadelphia, tells us that, “banking evolved its products and appendages just like the first single-cell organisms evolved fins and gills and eventually feet and legs.” (2017: 4) Here an analogy with the origins of life and animals implies that blockchain is an innovation of almost mythical proportion. Though it may surprise the people who use ‘evolution’ colloquially to hear this, not a few people actually do link the rise of blockchain to a broader understanding of life, human existence and their general worldview.

One of the most well-known ideological blockchain evolutionists is Naval Ravikant, co-founder of Angel List. “The Evolution of Everything by Matt Ridley, one of my favorite authors,” tells Ravikant. “If I can’t verify it on my own or if I cannot get there through science, then it may be true, it may be false, but it’s not falsifiable so I cannot view it as a fundamental truth. On the other side, I do know that evolution is true. I do know that we are evolved as survival and replication machines. I do know that we have an ego so that we get up off the ground and worms don’t eat us and we actually take action.” Ravikant also appeared on a podcast with Tim Ferris using a title “The Evolutionary Angel[1].” In short, Ravikant says, “I think almost everything about humans and human civilization is explained better by evolution than anything else[2].” To clarify what he means, he says,

“I use evolution as my binding principle in that it can explain a lot about how we behave towards each other and why we do certain things. / Ignoring that your genes want you to live in a certain way is a delusion that is going to hurt you. / I think a lot of modern society can be explained through evolution. One theory is that civilization exists to answer the question of who gets to mate. If you look around, from a purely sexual selection perspective, sperm is abundant and eggs are scarce. It’s an allocation problem. How do you choose which sperm gets the egg? / Literally all of the works of mankind and womankind can be traced down to people trying to solve that problem.”[3]

In short, we see an attempt at the ‘naturalisation’ of blockchain technology based on ideology or worldview, rather than ‘science.’

Similarly, but with a more academic focus, Chris Berg et al. (2018) are promoting an institutional evolutionary approach that mixes together ‘development’ with ‘evolution’. They ask: “How do blockchain protocols develop? How do they evolve? It is useful to see the development of blockchain innovation through the entrepreneurial innovation literature. Each sequential adaptation of a blockchain represents a new economic organisation, such as a firm.” (Ibid: 3)

For them, “Blockchain protocols offer us an evolutionary window into institutional change. The protocols are evolving under variation, replication and selection conditions, and researchers have a near complete and comprehensive window into those changes.” (Ibid: 10) This choice of terms follows on the work of Donald T. Campbell who attempted to apply Darwinian principles regarding biology to the human world, using the controversial notion of ‘blind variation and selective retention’ (cf. the Darwinian notion of ‘random mutation and natural selection’), which at the same time dislocates humanity’s power of choice by removing the teleological impulse[4] that is present in non-evolutionary and trans-evolutionary (Sandstrom 2016) viewpoints.

Nick Szabo is a major figure in blockchain space, perhaps most known for his coinage of the term ‘smart contract.’ Szabo is also somewhat prolific in his use of the term ‘evolution’ when it comes to cultural artefacts. He writes, “Common law is a highly evolved system of security for persons and property.” This draws on his general belief that, “Over many centuries of cultural evolution has emerged both the concept of contract and principles related to it, encoded into common law. Algorithmic information theory suggests that such evolved structures are often prohibitively costly to recompute. If we started from scratch, using reason and experience, it could take many centuries to redevelop sophisticated ideas like property rights that make the modern free market work.”

Szabo, however, notes that, “the digital revolution is radically changing the kinds of relationships we can have. … New institutions, and new ways to formalize the relationships that make up these institutions, are now made possible by the digital revolution. I call these new contracts ‘smart,’ because they are far more functional than their inanimate paper-based ancestors.” (1996) At the same time, he reminds us that, “Societies have evolved institutions such as firms and competitive markets to set prices, legal precedents and judicial proceedings to make judgments, and so forth.” (2002) Thus, we are proposed with a digital revolution happening inside of a broadly evolutionary version of human history.

Kartik Hegadekatti (2017) believes that, “Man has not only evolved biologically and culturally but also economically. Human economy has grown over many centuries through continuous addition of value. This value addition has been an evolutionary factor as it has influenced the formation of the main economic sectors-namely Primary, Secondary and Tertiary. Recently after the advent of Blockchain technology, Bitcoin achieved Gold parity. This paper analyses whether such an event will have any impact on the evolution of our economies.”

He suggests that,

“Man first settled down for agriculture, and started the process of economic and social development. In fact, this event led to conditions where mankind could experiment and evolve new economic and social systems. Earlier, during the hunter-gatherer phase, there were very few niche specialties. A hunter had to sharpen his [sic] own spear and go to hunt with the group. Once man settled down, distribution and differentiation of labor started. Villages sprang up where there were blacksmiths, cattle herders, and traders etc. who became part of the then-nascent human society.” (2017: 3)

Further, he writes that, “Consequently we may witness an explosion in technology entities, akin to the industrial revolution; A Technology Revolution. This may culminate in the creation of a truly Artificial Intelligence (as investment and research into Data analytics and automation technology will increase, thanks to investment in Blockchain Technology) leading to Technological Singularity.” (Ibid: 6)

In this final example of ideological blockchain evolutionism, we notice the author predicting a ‘Technological Singularity’ (cf. Ray Kurzweil’s dystopian scenario for humanity), which presents a kind of teleological goal and aim for human-machine interaction. Proponents of blockchain development who share this view may thus somehow still believe in technological revolutions that happen within a broader worldview in which everything, inevitably, is always and everywhere evolving.

Digitally Extending Blockchain

“The idea of cultural evolution strikes me as nothing but a dodge to put off the work of doing th[e] thinking, a piece of displacement activity brought in to dodge the conflict. It is not the right way to grasp the continuity between human and non-human nature. We need to drop it and find a better path[5].” – Mary Midgley (1984)

“Practitioners should be skeptical of claims of revolutionary technology.”

– Arvind Naryanan and Jeremy Clark (2017)

After having considered the ways various people write about blockchain as a constantly changing and ‘evolving’ technology, potentially a ‘revolutionary’ one, in this section I will offer an additional approach to blockchain development. My view is that blockchain technology is an example of a ‘social machine[6]‘ (Berners-Lee 1999) that most closely resembles the educational and agricultural extension movements from the late 19th and 20th centuries, which continue around the world today.

It is not necessary and can even be harmful or at least restrictive to use ‘evolutionary’ language to describe this alternative approach. In the current 21st century, we can thus consider the emergence and development of blockchain as a form of ‘digital extension services,’ which I will briefly elaborate on below and further in a forthcoming book chapter (Bailetti IGI, 2019).

The first thing to realise in order to make a simple yet crucial shift in language is that ‘change’ is the master category, not ‘evolution’ or ‘revolution’. That is to say that both evolution and revolution require change to happen, but change need not be either evolutionary or revolutionary. That is what makes change the master category over both evolution and revolution.

This basic semantic point serves an aim to help curb the rampant over-use and exaggeration of the ‘biological theory of evolution’ into the field of technology development that at the same time largely avoids identifying non-evolutionary or trans-evolutionary (Sandstrom 2017c) types of change. Instead, properly identifying the master category reveals that the intended new directions of social and cultural change due to blockchains are happening less rapidly and possibly also less disruptively compared to what many ‘blockchain revolution’ proponents enthusiastically claim.

Here it is worth noting that blockchain technology is based on not a few prior innovations, which when taken into account make it appear less revolutionary and more step-wise logically sequential. Such is the case that Naryanan and Clark make in their impressive paper “Bitcoin’s Academic Pedigree (2017). In it they state that, “many proposed applications of blockchains, especially in banking, don’t use Nakamoto consensus. Rather, they use the ledger data structure and Byzantine agreement, which, as shown, date to the ’90s. This belies the claim that blockchains are a new and revolutionary technology.” (Ibid)

They continue, concluding that, “most of the ideas in bitcoin that have generated excitement in the enterprise, such as distributed ledgers and Byzantine agreement, actually date back 20 years or more. Recognize that your problem may not require any breakthroughs—there may be long-forgotten solutions in research papers.” (Ibid) While nevertheless celebrating the significant achievement that Satoshi Nakamoto made in bringing multiple previous innovations together into Bitcoin, Naryanan and Clark reveal how the ‘revolutionary’ language of some proponents of blockchain can be considered as an exaggeration that avoids its historical precursors and likewise neglects the ‘shoulders of giants’ on which Nakamoto stood.

Junking the Blockchain Hype

Instead of either ‘evolution’ or ‘revolution,’ the alternative term ‘extension’ identifies inherently teleological, intentional and goal-oriented change-over-time. This term also adds considerable untapped value in connecting directly with the history of educational extension and agricultural extension mentioned in the introduction.

In both cases, the extension of knowledge, training and scientific innovations from centres to margins and from people in cities and at research institutes to people in rural areas around the world without convenient access to educational institutions has opened new opportunities for social learning and overall human development[7].

Thus, blockchain framed as an example of ‘digital extension services’ provides an analogy with applications for business, finance, governance[8], military[9], education, agriculture[10], cultural heritage[11], and any and all other institutions in society that may make use of peer-to-peer transaction-based systems that can be measured with data collection.

Burton Swanson et al. define ‘extension’ as “the organized exchange of information and the purposive transfer of skills.” (1997) It was such intentional diffusion of creative innovation and knowledge sharing that led to a worldwide movement of ‘extensionsists’ and ‘extension agents,’ that has arguably become the greatest social impact force, both personally and institutionally, perhaps alongside of universities, football (soccer) and major religions, that the world has ever known and experienced.

This is why I believe a discussion now of blockchain as ‘digital extension services’ is particularly ripe for exploration and why the regularly repeated question of whether or not blockchain is an ‘evolution or revolution’ is not currently as important. If blockchain is going to become a ‘revolutionary’ technology in the digital era, an ‘internet of trust,’ then it will require require some kind of individual and social ‘extension’ motif with goals, aims and purposes in mind in order to achieve this.

At the same time it appears crucial, however, to openly reject ‘evolutionary’ approaches to blockchain as if believing that the origin of Bitcoin did not happen as the result of a random and undirected process that was simply a result of external ‘environmental pressures’ (cf. blind variation and selective retention). Rather, Bitcoin and the technology now known as ‘blockchain’ were created intentionally by a pseudonymous programmer and cryptographer in 2008, with the first Bitcoin mined on January 3, 2009.

If Satoshi Nakamoto’s intentional creation is not credited as such, then an invitation to future blockchain chaos without planning or purpose will be the likely result. In short, an ‘evolutionary’ origins story for blockchain falls short of validity and simply makes no logical sense. Instead, more goal-oriented and teleological discussion is needed about where we are now heading through the use of distributed ledgers, which indeed may bring highly transformative social change to people around the world through digital peer-to-peer interactions.

Investment in Revolution

The question of whether or not blockchain is potentially a ‘revolutionary’ technology and what impact it will have on society raises many difficult questions to answer. To some degree it must involve speculative futuristics. The promises of ‘decentralisation’ and the removal of intermediaries (disintermediation) from digital social transactions that happen across borders and nations using the internet has led to what can be called ‘centre-phobia,’ or the fear of centralised institutions of social, economic and political power. Some proponents of blockchain are even calling for ‘leaderless democracy[12],’ which sounds more utopian and radical than what mainstream blockchain builders are aiming for.

The blockchain feature of having a timestamped, immutable record has many implications, including for deterrence of online criminal activity and financial fraud detection[13]. While much of the zeal for Bitcoin in the early years involved illicit use through the Silk Road website involving weapons, drugs, human trafficking and various nefarious schemes, other non-criminal uses of distributed ledger for ‘social impact[14]‘ soon started to arise that pushed the boundaries of what peer-to-peer networking and transacting around the world could enable.

All of these changes require the intentional and ‘signed’ (cf. key signatures) use of blockchain systems, where users must agree to accept the rules and regulations of the ledger community’s ‘Genesis Block’ in order to participate. Again, the language of ‘extension’ based on individual and social choices seems more suitable than outsourcing the conversation to biological or even environmental language.

To enable easily distinguishing ‘non-evolutionary’ change and ‘development’ from ‘evolutionary’ change, we may simply consider the effects of intentionality, purpose and aim[15]. When we explore the directions and trajectories that blockchain DLT is headed, we mean that people are consciously developing and building it and/or purchasing crypto-assets and digital currencies, i.e. they are ‘extending’ the innovation made by Satoshi Nakamoto with new applications.

Rest assured, however, with this new terminology in hand this does not necessarily mean that any one person knows, or even that it can be known exactly for certain, in which direction(s) blockchain is headed, such that a single person, group or institution can ‘control’ it, as Carter rightly identified above. Yet, while most people cautiously say they do not now know and cannot predict where blockchain is headed in the future, those who are actually building blockchains now should properly be given credit for their work and not left out of the conversation as if their plans are irrelevant to the eventual outcome of the technology’s growth.

Indeed, the goals, aims, visions and plans of many blockchain builders and investors will determine the trajectory of blockchain development; they are the ones who are now ‘in control’ of where the technology is headed since Satoshi Nakamoto has disappeared from public[16].

Similarly, the perspective which holds that all change that is gradual, rather than rapid, therefore, according to biological precedent, automatically counts as ‘evolutionary,’ turns out to be both false and unnecessary upon closer investigation. French Nobel prize winner in Medicine, François Jacob suggested that, “Natural selection does not work as an engineer works. It works like a tinkerer — a tinkerer who does not know exactly what he is going to produce but uses whatever he finds around him… to produce some kind of workable object[17].”

Yet with blockchain the ‘human selection[18]‘ or ‘human extension’ of technology is being done by software developers, legal experts and innovation leaders with particular practical goals and business solutions in mind, even if ‘tinkering’ is the method by which the development occurs. The key is that people are actively involved in plotting the trajectory of blockchain growth and application, in contra-distinction with the mere anthropomorphic appearance (design) of biological change over time.

It simply does not make sense, therefore, when speaking about blockchain technology to use the language of a biologist like Dawkins, who suggested based largely upon a reactionary view, that ‘natural selection,’ “has no purpose in mind. It has no mind and no mind’s eye. It does not plan for the future. It has no vision, no foresight, no sight at all. If it can be said to play the role of watchmaker in nature, it is the blind watchmaker.” (1986: 5) Instead, with blockchain, it is our deep sense of purpose, vision, foresight, and planning that will result in new opportunities to apply the technology in potentially beneficial and effective social and cultural, economic and political configurations.

Indeed, the all-too-human sense of vision and deliberate drive, even if the direction was not always entirely clear and involved a kind of groping for solutions towards an unknown future; this is what enabled Satoshi Nakamoto to bring together past innovations, to ideate, code and eventually build a technological, legal framework and community for Bitcoin users in the first place.

To write this off according to a non-inventive theory of biological evolution that has no foresight or personal agency is to unnecessarily reduce and even dangerously dehumanise the conversation about blockchain in a disparaging way. Instead, I believe that aiming to uplift the conversation involving blockchain for humanity’s individual and collective extension and benefit is what the situation now most urgently requires.

What was the problem to which blockchain presented a solution? Was Nakamoto mainly aiming to undermine the power of financial institutions following the USA’s Emergency Economic Stabilization Act of 2008, i.e. the great bailout for banking elites at massive cost to millions of citizens? What purposes need there be other than financial ones to inspire the invention of an immutable public ledger that may serve as the basis for a ‘blockchain revolution’?

A public ledger (cf. triple entry accounting) that eliminates the double spending problem for digital transactions involving money is a massively transformative technology in and of itself. Regardless of what purposes Nakamoto had in mind when designing, creating and developing Bitcoin, we now are faced with what to do with this invention in ways that not only disrupt older systems, but that rather may at the same time creatively uplift human development of people around the world. What seems most urgently needed nowadays is a globally-oriented, socially-responsible digital extension services built upon distributed ledger technologies, using a combination of human, informational and material resources to produce it.

Conclusion

“The extensions of man with their ensuing environments, it’s now fairly clear, are the principal area of manifestation of the evolutionary process[19].” – McLuhan (1968)

“Building is the only truth path. Creation.” … “Bitcoin started because of my ideas. It was my design, and it is my creation.” – Craig Steven Wright (2019)

Given the above survey of uses of both terms ‘evolution’ and ‘revolution’ with respect to blockchain in the available literature, it is clear at least that there is on-going debate between which term is more suitable. My preference is to drop the term ‘evolution’ as unnecessarily ambiguous and imprecise when applied to technology, while cautioning that ateleological language is not particularly helpful or constructive in the conversation about blockchain development.

Likewise, at this early stage of historical growth, we still don’t know what kind of ‘revolution’ blockchain may cause in combination with other emerging digital technologies (IoTs, UAVs, VR/AR, virtual assistants, neural nets, quantum computing, etc.). We may thus look with either some trepidation or tempered optimism at the potential for revolutionary changes with the coming of distributed ledgers, particularly in the way blockchain will impact society, economics, politics, and culture.

In this paper, a brief comparison towards blockchain’s ‘revolutionary’ impact was proposed in the educational extension movement and agricultural extension and advisory services. The worldwide extension movement in agriculture contributed to the so-called ‘Green Revolution[20]‘ of the 1950s and 60s through knowledge sharing and information transfer to farmers who otherwise would not have had access to new seeds, knowledge and farming techniques.

With blockchain as a globally-oriented technology built upon the internet, we are starting to see new opportunities for digital identity provision that opens access to vital resources for those who are currently identity-less, for money transfer across borders (remissions), and for opportunities to bring ‘banking to the unbanked.’ This transformation has the potential to unlock many available human resources that will be able to further develop societies and cultures through savings and investment in peoples’ futures, something now impossible via institutional gridlock, exclusion and information capture.

On the strictly academic level, distributed ledgers may turn out to be the greatest technology created since the ‘social survey’ (or questionnaire) itself with the prospect of gathering big data for multivariate analysis. Now with a partially anonymous (cf. pseudonymous) user platform to protect personal identities from recrimination and ‘outing,’ social scientific research may be able to provide greater safety and security for ethical studies of humanity via digital devices that was simply not available in the past.

Nevertheless, we are still largely in the theoretical stage of blockchain’s coming impact and no mass platform for collecting such linked social data has yet been created where peer-to-peer interactions can produce a cascading global network effect. The question of whether a ‘revolution’ is coming or not due to blockchain DLT is thus for many people one still of sheer fantasy or hopeful speculation waiting for a major consensus-building breakthrough.

The Origins and the Future

Whether or not a person believes Craig Steven Wright was ‘Satoshi Nakamoto’ (perhaps with helpers alongside) or not is beside the point that someone must have been the inventive creator of Bitcoin. It simply didn’t arise on its own without an inventor and creator or without a purpose, aim and plan for its roll-out. To posit an ‘evolutionary origin’ for blockchain DLT thus profoundly misses out on the crucial elements of intentional, planned, purposeful technological change. Instead, looking at blockchain as an ‘extension’ of peoples’ choices places priorities on human values and desires, which are not to be ignored, but rather individually and collectively celebrated.

That said, in closing it is worth noting that a ‘revolution’ would only happen involving blockchains if the technology is not limited in usage to banks, multi-national corporations, and intermediary holders of financial power that collect fees without adding actual value to communities and users. Rent-seeking behaviour and currency speculation indeed has levied a massive cost on human civilisation in terms of widening the inequality gap within and between nations.

Similarly, writes Lawrie, “the Extension Movement … had to battle against the prejudice of those who would prefer university education to remain a privilege for the few.” (2014: 79) An overall struggle for power can and therefore must be expected in attempts to control distributed ledgers via ‘super users’ and centralised databases that sell user information. If the champions of blockchain DLTs are also champions of human freedom and dignity of person, the result may turn out better for a majority, rather than a minority few.

The dangers also adds caution and concern to those who focus on blockchain’s supposed ‘revolutionary’ impact as something necessarily disruptive and even destructive. The rhetoric heats up especially when blockchain is framed as a kind of deterministic, unavoidable and inevitable change driven by forces outside of human control.

Does technology have a ‘mind of its own?’ If not, then who is in control? Who is innovating? Who is guiding, choosing and directing the development of blockchain technology? And are they creating it for their own selfish gains or for the broader aims of society and culture? These questions animate the underlying concerns in this paper that mainly attempted to distinguish between random, unguided and guided, responsible technological change.

While it is true that in some sense the identity of Satoshi Nakamoto does not matter anymore, as the so-called “genie is out of the bottle[21]” now with blockchain. I believe it is nevertheless wrong to suggest that no one is or even should be in control of blockchain development, even though Satoshi Nakamoto disappeared. The growing number of people now building blockchain technologies will create a new horizon in which this technology will impact humanity in the coming years in a profound way. We may therefore watch with interest at the various ways P2P and E2E digital interactions on a global scale will change the course of human history in the near future to come.

In short, blockchain technology is a non-evolutionary or trans-evolutionary phenomenon that is potentially revolutionary for how it will restructure human society and culture based on immutable, timestamped distributed public ledgers. Blockchain as a ‘social machine’ heralds digital extension services and a new era of social change-over-time. Let us be ready and unafraid to face the challenges that this technology brings as it both disrupts, re-creates and unites people in a way that was unimaginable until Satoshi’s blockchain was invented to change the world.

Contact details: gregory.sandstrom@gmail.com

References

Arner, D.W., J.N. Barberis, R.P. Buckley (2015) “The Evolution of FinTech: A New Post-Crisis Paradigm.” 47 Geo. J. Int’l L. 1271.

Antonopolous, Andreas M. (2017). Mastering Bitcoin Programming the Open Blockchain. 2nd Edition, O’Reily.

Ashley, Michael (2019). “Forget Darwinian Evolution. Humanity May Soon Evolve Itself Through A.I.” Forbes. https://www.forbes.com/sites/cognitiveworld/2019/01/15/forget-darwinian-evolution-humanity-may-soon-evolve-itself-through-a-i/

Matthew Bardeen and Narciso Cerpa (2015). “Technological Evolution in Society – The Evolution of Mobile Devices.” https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-18762015000100001

Bejan, A., J.D. Charles, and S. Lorente (2014). “The Evolution of Airplanes.¨ Journal of Applied Physics, 116:044901.

Belady, L.A. And M.M. Lehman (1976). “A Model of Large Program Development.” IBM Systems Journal, 15(3): pp. 225-252.

Berg, Chris, Sinclair Davidson, and Jason Potts (2018). “Institutional Discovery and Competition in the Evolution of Blockchain Technology.” SSRN.

Berners-Lee, Tim (2000). Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web. New York: Harper.

Blakstad S., Allen R. (2018). “Ecosystem vs Egosystem and Revolution vs Evolution.” In: FinTech Revolution. Palgrave Macmillan, Cham.

Brooks, Fred P. (1986). “No Silver Bullet — Essence and Accident in Software Engineering.” Proceedings of the IFIP Tenth World Computing Conference: pp. 1069–1076.

Brooks, Fred (1975). The Mythical Man-Month. Addison-Wesley.

Brey, Phillip (2008). ‘Technological Design as an Evolutionary Process.” In Philosophy and Design: From Engineering to Architecture. Eds. P. Vermaas, P. Kroes, A. Light and S. Moore,  Springer.

Buitenhek, Mark (2016). “Understanding and applying Blockchain technology in banking: Evolution or revolution?” Journal of Digital Banking, Volume 1 / Number 2 / AUTUMN/FALL 2016, pp. 111-119 (9).

Campbell, Donald T. (1960). “Blind Variation and Selective Retention in Creative Thought as in other Knowledge Processes.” Psychological Review, 67: pp. 380-400.

Casey, M.J., P. Vigna (2015). “Bitcoin and the Digital-Currency Revolution.” Wall St. J.23. https://www.wsj.com/articles/the-revolutionarypower-of-digital-currency-1422035061

Chakraborty, Sumit (2018). FinTech: Evolution or Revolution. 1st Edition.

Champagne, Phil (2014). The Book of Satoshi: The Collected Writings of Bitcoin Creator Satoshi Nakamoto. E53 Publishing.

Dawkins, Richard (1986). The Blind Watchmaker: Why the Evidence of Evolution Reveals a Universe without Design. Norton & Company.

De Breuck, Frederik (2019). “Next steps in the evolution of blockchain.” https://blog.global.fujitsu.com/next-steps-in-the-evolution-of-blockchain/

Demirbas, Ugur, Heiko Gewald, Bernhard Moos  (2018). “The Impact of Digital Transformation on Sourcing Strategies in the Financial Services Sector: Evolution or Revolution?”  Twenty-forth Americas Conference on Information Systems, New Orleans.

Dhaliwal, Jagjit (2018). “The Evolution of Blockchain.” https://www.linkedin.com/pulse/evolution-blockchain-jagjit-dhaliwal-pmp/

Douthit, Chris (2018) “The Evolution of BlockchainWhere Are We?” https://hackernoon.com/the-evolution-of-blockchain-where-are-we-f0043b2d0cd0

Easley, David, Maureen O’Hara, and Soumya Basu (2017). “From Mining to Markets: The Evolution of Bitcoin Transaction Fees.” SSRN.

ElBahrawy, A., L. Alessandretti, A. Kandler, R. Pastor-Satorras, & A. Baronchelli (2017). “Evolutionary dynamics of the cryptocurrency market.” Royal Society Open Science, 4(11), 170623.

Fenwick, M., W.A. Kaal, EPM Vermeulen (2017). “Legal Education in the Blockchain Revolution.” 20 Vand. J. Ent. & Tech. L. 351.

Gilder, George (2018).  Life after Google: the Fall of Big Data and the Rise of the Blockchain Economy. Gateway Editions.

Harker, Patrick T. (2017). “FinTech: Evolution or Revolution?” Technology, Business and Government Distinguished Lecture Series.

Halaburda, Hanna (2018). Blockchain Revolution Without the Blockchain. Bank of Canada.  

Hedera Hashgraph Team (2018). “The Evolution of Possibilities.” https://www.hedera.com/blog/the-evolution-of-possibilities

Hegadekatti, Kartik (2017). “Blockchain Technology – An Instrument of Economic Evolution?” SSRN. https://mpra.ub.uni-muenchen.de/82852/

Herraiz, Israel, Daniel Rodriguez, Gregorio Robles, Jesus M. Gonzalez-Barahona (2013). “The Evolution of the Laws of Software Evolution”. ACM Computing Surveys. 46 (2): pp. 1–28.

Hochstein, Mark (2015). “BankThink: Fintech (the Word, That Is) Evolves.” https://www.americanbanker.com/opinion/fintech-the-word-that-is-evolves

Kakavand, Hossein, Nicolette Kost De Sevres and Bart Chilton (2017). “The Blockchain Revolution: An Analysis of Regulation and Technology Related to Distributed Ledger Technologies.” SSRN.

Künnapas K. (2016). “From Bitcoin to Smart Contracts: Legal Revolution or Evolution from the Perspective of de lege ferenda?” In: Kerikmäe T., Rull A. (eds) The Future of Law and eTechnologies. Springer, Cham .

Lagarde, Christine (2018). “Winds of Change: The Case for New Digital Currency.” https://www.imf.org/en/News/Articles/2018/11/13/sp111418-winds-of-change-the-case-for-new-digital-currency

Lawrie, Alexandra (2014). The Beginnings of University English Extramural Study, 1885– 1910. Palgrave Macmillan.

Lehman, Meir M. (1980). “Programs, Life Cycles, and Laws of Software Evolution”. Proc. IEEE. 68 (9): pp. 1060–1076.

Liu, Stella (2017). “Green Revolution 2.0 aims to boost rural net connectivity.” https://www.nst.com.my/opinion/columnists/2017/07/254923/green-revolution-20-aims-boost-rural-net-connectivity

Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system.

Narayanan, Arvind and Jeremy Clark (2017). “Bitcoin’s Academic Pedigree.” Communications of the ACM, 60, 12: pp. 36-45.

Naryanyan, V. (2018). A brief history in the evolution of blockchain technology platforms.” https://hackernoon.com/a-brief-history-in-the-evolution-of-blockchain-technology-platforms-1bb2bad8960a

Nichols, Megan Ray (2018). “Blockchain: The Next Big Disruptor in the Manufacturing Industry.” https://news.thomasnet.com/featured/blockchain-the-next-big-disruptor-in-the-manufacturing-industry/

Pinna, Andrea and Wiebe Ruttenberg (2016). “Distributed Ledger Technologies in Securities Post-Trading Revolution or Evolution?” ECB Occasional Paper No. 172.

Rauchs, Michel, Andrew Glidden, Brian Gordon, Gina Pieters, Martino Recanatini, François Rostand, Kathryn Vagneur and Bryan Zhang (2018). Distributed Ledger Technology Systems: A Conceptual Framework. Cambridge Centre for Alternative Finance.

Ravikant, Naval (2017). “The Knowledge Project.” The Farnam Street Learning Company. https://fs.blog/wp-content/uploads/2017/02/Naval-Ravikant-TKP.pdf

Rose, C. (2015). “The Evolution Of Digital Currencies: Bitcoin, A Cryptocurrency Causing A Monetary Revolution.” International Business & Economics Research Journal (IBER), 14(4): pp. 617-622.

Sahlstrom, Dennis (2018). “The Future is Here – The Evolution of Blockchain.” https://toshitimes.com/the-future-is-here-the-evolution-of-blockchain/

Sandstrom, Gregory (2017). “Anyone Who Thinks Blockchain Technology is Evolving Put Your Hand Up.” https://medium.com/@gregory.sandstrom/anyone-who-thinks-blockchain-technology-is-evolving-put-your-hand-up-a80c30644894

Sandstrom, Gregory (2017a). “Enter Blockchain: The Non-Evolutionary Recovery of Genesis  in Contemporary Discussions of Innovation and Emerging Technologies.” https://medium.com/@gregory.sandstrom/enter-blockchain-the-non-evolutionary-recovery-of-genesis-in-contemporary-discussions-of-96ae135413a6

Sandstrom, Gregory (2017b). “Who Would Live in a Blockchain Society? The Rise of Cryptographically-Enabled Ledger Communities.” Social Epistemology Review and Reply Collective 6, no. 5: pp. 27-41. https://social-epistemology.com/2017/05/17/who-would-live-in-a-blockchain-society-the-rise-of-cryptographically-enabled-ledger-communities-gregory-sandstrom/

Sandstrom, Gregory (2017c). “Evolutionary Epistemology.” Wiley-Blackwell Encyclopedia of Social Theory.

Sandstrom, Gregory (2016). “Trans-Evolutionary Change Even Darwin Would Accept.” Social Epistemology Review and Reply Collective 5, no. 11, 2016: pp. 18-26.

Sandstrom, Gregory (2010). “The Extension of ‘Extension’ OR the ‘Evolution’ of Science and Technology as a Global Phenomenon.” Liberalizing Research in Science and Technology: Studies in Science Policy. Eds. Nadia Asheulova, Binay Kumar Pattnaik, Eduard Kolchinsky, Gregory Sandstrom. St. Petersburg:  Politechnika: pp. 629-655.

Sandstrom, Gregory (2010). “The Problem of Evolution: Natural-Physical or Human Social?” In Charles Darwin and Modern Biology. St. Petersburg: Institute for the History of Science and Technology, Russian Academy of Sciences: pp. 740-748.

Sinrod, Margaret Leigh (2018).  “Still don’t understand the blockchain? This explainer will help.” https://www.weforum.org/agenda/2018/03/blockchain-bitcoin-explainer-shiller-roubini

Smart, Paul R. (2012). “The Web-Extended Mind.” In Special Issue: Philosophy of the Web, Metaphilosophy, 43, (4): pp. 426-445.

Smart, P.R., & Shadbolt, N.R. (2015). “Social Machines.” In Encyclopedia of Information Science and Technology, Third Edition. IGI Global: pp. 6855-6862.

Staples, M., S. Chen, S. Falamaki, A. Ponomarev, P. Rimba, A.B. Tran, I. Weber, X. Xu, L. Zhu (2017). “Risks and Opportunities for Systems Using Blockchain and Smart Contracts.” Data61 (CSIRO).

Swan, Melanie (2015). Blockchain: Blueprint for a New Economy. Sebastopol: CA: O’Reilly.

Swanson, Burton E., Robert P. Bentz and Andrew J. Sofranko (1997). Improving Agricultural Extension: A Reference Manual. Rome: Food and Agriculture Organisation of the United Nations. http://www.fao.org/docrep/w5830e/w5830e00.htm

Szabo, Nick (2002). “Measuring Value.” http://www.fon.hum.uva.nl/rob/Courses/InformationInSpeech/CDROM/Literature/LOTwinterschool2006/szabo.best.vwh.net/measuringvalue.html

Szabo, Nick (1996). “Smart Contracts: Building Blocks for Digital Markets.” http://www.fon.hum.uva.nl/rob/Courses/InformationInSpeech/CDROM/Literature/LOTwinterschool2006/szabo.best.vwh.net/smart_contracts_2.html

Tapscott, Don & Alex (2016). The Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World. Portfolio Penguin.

Town, Sam (2018). “Beyond the ICO Part 3: Evolution Versus Revolution.” https://cryptoslate.com/beyond-the-ico-part-3-evolution-versus-revolution/

Trujillo, Jesus Leal, Stephen Fromhart & Val Srinivas (2017). “Evolution of blockchain technology Insights from the GitHub platform.” Deloitte.

Walport, Mark (2016). “Distributed Ledger Technology: beyond block chain. A report by the UK Government Chief Scientific Adviser.”

Williams, Sam (2002). “A Unified Theory of Software Evolution.” Salon.

Wright, Collin (2018). “The New Evolution Deniers.” https://quillette.com/2018/11/30/the-new-evolution-deniers/

Wright, Craig Steven (2019). “Careful what you wish for…” https://medium.com/@craig_10243/careful-what-you-wish-for-c7c2f19e6c4f

Wright, Craig Steven (2019a). https://medium.com/@craig_10243/proof-of-work-1a323e82fd9

Videos

“Alex Tapscott: Blockchain Revolution | Talks at Google” – https://www.youtube.com/watch?v=3PdO7zVqOwc

“Are Blockchains Alive? Co-evolving with Technology” – Amanda Gutterman (ConsenSys) – https://www.youtube.com/watch?v=X7GkkGTnVwA

“Block Chain Revolution | Giovanna Fessenden | TEDxBerkshires” – https://www.youtube.com/watch?v=oMhZTEQZJPI

“Bitcoin and the history of money” – “Let’s take a look at the evolution of money.” – https://www.youtube.com/watch?v=IP0jCjyrew8

“Blockchain – evolution or revolution?” –  https://www.youtube.com/watch?v=LojzPukAtmM

“Blockchain Evolution & Empowerment” – https://www.youtube.com/watch?v=eSUC9NFccNk

“Blockchain Evolution 2” – Reese Jones – https://www.youtube.com/watch?v=mCPqXHt-z0k

“Blockchain Evolution or Revolution in the Luxembourg Financial Place? – Nicolas Carey https://www.youtube.com/watch?v=Wp9FB_JQlgI

“Blockchain Evolution” – https://www.youtube.com/watch?v=CULUqgfVteg

“Blockchain Evolution” – Complexity Labs – https://www.youtube.com/watch?v=rO2LSBDekvE

“Blockchains’ Evolution by natural selection like biology’s genetics” – Reese Jones – https://www.youtube.com/watch?v=4JEFGtsu0s4

“Blockchain Evolution” – https://www.youtube.com/watch?v=tGcuJoFZLOY

“Chandler Guo on The Bitcoin & Blockchain Revolution” – https://www.youtube.com/watch?v=J7g2JFn68LU

“Cryptos Are The EVOLUTION of Money and Blockchain is the REVOLUTION of Trust! Vlog#18” – Siam Kidd – https://www.youtube.com/watch?v=-nu2F6_K0S0

“DigiByte Blockchain – The evolution of the Internet & the revolution in the financial systems” – https://www.youtube.com/watch?v=w8h10ckU0sE “The revolution has already begun.”

“Don Tapscott – The Blockchain Revolution – https://www.youtube.com/watch?v=gZEmaSbqfYQ

“Evolution of Bitcoin” – Documentary Film – https://www.youtube.com/watch?v=HUpGHOLkoXs

“Evolution of Blockchain And Its Future Moving Forward In 2018!” – https://www.youtube.com/watch?v=YWlMoxMTbDQ

“Evolution of Blockchain in India:The value of Ownership.” – Mr.Akash Gaurav – TEDxKIITUniversity – https://www.youtube.com/watch?v=BtTJmb0jYzE

“Evolution of the Blockchain Economy” – Jeremy Gardner – Startup Grind – https://www.youtube.com/watch?v=Q7cPy6ITUm4

“Future Evolution of Blockchain” – Silicon Valley TV – https://www.youtube.com/watch?v=5_6m7LYIEo4

“Future Thinkers Podcast – a podcast about evolving technology, society and consciousness. https://futurethinkers.org/

“Genetics of Blockchain Evolution” – Reese Jones – https://www.youtube.com/watch?v=8fFsmuvyXeE

“Keynote: Blockchain’s Evolution: Digital Assets are getting Physical” – FinTech Worldwide” – https://www.youtube.com/watch?v=1p5PUn4z_Gs

“How the Blockchain revolution will change our lives? | Eddy Travia | TEDxIEMadrid” https://www.youtube.com/watch?v=ErxKm0b0DIU

“How the Blockchain Revolution Will Decentralize Power and End Corruption | Brian Behlendorf” https://www.youtube.com/watch?v=Tv-XR6gXfLI

“Interview for Bitcoin And Blockchain Evolution Podcast – Sarah Herring – “Evolution – There is a Revolution coming!” https://www.youtube.com/watch?v=tIZJsFotDdg

“John McAfee on Infowars: Nothing Can Stop The Blockchain Revolution” – https://www.youtube.com/watch?v=CssU9WBHx6k

“Make the blockchain business case: Evolution, not revolution” (only title, not in video) – PWC – https://www.youtube.com/watch?v=sjr_Wqwk1SI

“The blockchain evolution, from services…to smartphones.” – Mingis on Tech – https://www.youtube.com/watch?v=jvn5zZj5IR8

“The Blockchain Evolution” – Hewlett Packard – https://www.hpe.com/us/en/insights/videos/the-evolution-of-blockchain-1712.html

“The Blockchain Evolution” – https://www.youtube.com/watch?v=TeyeKXmqQn8

“The Blockchain Evolution” – Cambridge House International” – https://www.youtube.com/watch?v=nELBTdqeKuQ

“The Evolution of Bitcoin – Bill Barhydt – Global Summit 2018 | Singularity” Universityhttps://www.youtube.com/watch?v=CZjK1i9CE6U

“The Evolution of Blockchain and Global Vision (Shanghai)” https://www.youtube.com/watch?v=56rOLarCttA

“The Evolution Of Blockchain Over The Decades” – With David Birch” https://www.youtube.com/watch?v=yC8oBJSQ6vc

“The Evolution of Blockchain technology” – Amir Assif. Microsoft Israel” – https://www.youtube.com/watch?v=f_eKp1z5hj0

“The Evolution of Blockchain: How EOS is reinventing blockchain” – https://www.youtube.com/watch?v=R8aDGf8WpKs

“The Evolution of Blockchain” – Nicola Morris – https://www.youtube.com/watch?v=aSy-UJn1G1I

“The Evolution of Blockchain” – The State of Digital Money 18′ conference” – https://www.youtube.com/watch?v=RWfNVTgbqjc

“The Blockchain Revolution – Graham Richter, Accenture” – https://www.youtube.com/watch?v=AYTmjZmsUm4

“The Blockchain Revolution | Rajesh Dhuddu | TEDxHyderabad” – https://www.youtube.com/watch?v=OrnvX92vlu8

“The Blockchain Revolution by Talal Tabaa – ECOH 2018” – https://www.youtube.com/watch?v=AvRJ1kEQ2so

“The Blockchain Revolution Changing the Rules https://www.youtube.com/watch?v=GTgG8XzcVC0

“The Blockchain Revolution in Business and Finance” – https://www.youtube.com/watch?v=3SUfz6p0a7Y

“The blockchain revolution, the ultimate industry disruptor” – https://www.youtube.com/watch?v=7hEiHR-K_KY

“The Blockchain Revolution: From Organisations to Organism | Matan Field | TEDxBreda” – https://www.youtube.com/watch?v=2OSbseTJWfY

[1] https://tim.blog/2017/06/04/nick-szabo/

[2] http://www.businessinsider.com/angellist-ceo-naval-ravikant-shares-his-favorite-books-2015-8

[3] http://www.killingbuddha.co/the-present/2016/10/17/naval-ravikant-on-the-give-and-take-of-the-modern-world

[4] “Being teleological is the second worst thing you can be as a Historian. The worst is being Eurocentric.” – Joel Mokyr

[5] “Biological and Cultural Evolution.” 1984. ICR Monograph Series 20. https://idriesshahfoundation.org/biological-and-cultural-evolution/

[6] Berners-Lee writes of “interconnected groups of people acting as if they shared a larger intuitive brain,” defining social machines on the internet as “processes in which the people do the creative work and the machine does the administration.” (1999) Smart and Shadbolt provide an updated version: “Social Machines are Web-based socio-technical systems in which the human and technological elements play the role of participant machinery with respect to the mechanistic realisation of system level processes.” (2014)

[7] “Extension lectures offered many middle-class women almost their only contact with education beyond the secondary level, and in consequence women came to use the new movement in greater numbers than any other social group, and frequently displayed the greatest personal application.” – Lawrence Goldman (Dons and Workers, 1995: 88)

[8]  A blockchain is “a place [digital ledger] for storing data that is maintained by a network of nodes without anyone in charge.” – Jeremy Clark (2016, https://users.encs.concordia.ca/~clark/talks/2016_edemocracy.pdf)

[9]  See Kevin O’Brien’s (2018) “China, Russia, USA in Race to Use Blockchain for Military Operations.” https://bitcoinist.com/china-russia-usa-blockchain-military/ and Salvador Llopsis Sanchez’ “Blockchain Technology in Defence.” https://www.eda.europa.eu/webzine/issue14/cover-story/blockchain-technology-in-defence

[10] Andrew Braun’s (2018) “Blockchain & Agriculture: A Look at the Issues & Projects Aiming to Solve Them” https://blockonomi.com/blockchain-agriculture/ and “Digging into Blockchain in Agriculture.” https://blockchain.wtf/2018/11/industry-impacts/digging-into-blockchain-in-agriculture/

[11]  Zohar Elhanini’s (2018) “How Blockchain Changed The Art World In 2018.” https://www.forbes.com/sites/zoharelhanani/2018/12/17/how-blockchain-changed-the-art-world-in-2018/#30caa5333074

[12] “Without the need for any central control or mediator blockchains allow for leaderless democracy – a new way of governing human behaviour online through ‘one computer one vote’.” http://kmi.open.ac.uk/projects/name/open-blockchain

[13] “Bitcoin is an immutable evidence system, a ledger that stops fraud.” – Craig Steven Wright https://medium.com/@craig_10243/the-great-mining-swindle-2dec8ffa819d

[14] https://consensys.net/social-impact/

[15] “As a result of the new scientific orthodoxy, the origins of organisms and of artifacts are nowadays seen as radically different: blind natural selection versus the purposive, forward-looking, and intelligent activity of designers.” – Phillip Brey (2008)

[16] However, with the noteworthy possibility that Craig Steve Wright was Satoshi Nakamoto, as he is now claiming, as he did in 2016: “I was Satoshi.” (2019)

[17]  “Evolution and Tinkering.” Science, Vol. 196, No. 4295, June 1977: pp. 1161-1166.

[18] This term was used in 1890 by A.R. Wallace, co-discoverer of ‘natural selection’ with Charles Darwin, to distinguish human-made things from natural organisms, after Darwin’s death.

[19] War and Peace in the Global Village. With Quentin Fiore. New York: Bantam, 1968: p. 19.

[20] “The first Green Revolution enabled developing countries to experience large increases in crop production through the use of fertilisers, pesticides and high-yield crop varieties. Between 1960 and 2000, yields for all developing countries rose 208 per cent for wheat, 109 per cent for rice, 157 per cent for maize, 78 per cent for potatoes and 36 per cent for cassava. This success was most felt with rice growers in Asia and lifted many out of poverty. … Capital investments and agricultural extension services are key for farmers to properly adopt new technologies and raise their farms’ productivity. ” – Liu (2017)

[21] As Joseph Lubin of Ethereum and Consensus says, “She’s big, she can’t go back in.” [21] http://www.theepochtimes.com/n3/668104-the-entrepreneur-joe-lubin-coo-of-ethereum/

Author Information: Gregory Sandstrom, Arena Blockchain, gregory.sandstrom@gmail.com.

Sandstrom, Gregory. “Is Blockchain an ‘Evolutionary’ or ‘Revolutionary’ Technology, and So What If It Is?: Digitally Extending Satoshi Nakamoto’s Distributed Ledger Innovation.” Social Epistemology Review and Reply Collective 8, no. 3 (2019): 17-49.

The pdf of the article gives specific page references, and includes the full text of the article. Shortlink, Part One: https://wp.me/p1Bfg0-47f. Shortlink: Part Two: https://wp.me/p1Bfg0-47m

Image by Kevin Krejci via Flickr / Creative Commons

 

“If you cry ‘Forward!’ you must without fail make plain in what direction to go. Don’t you see that if, without doing so, you call out the word to both a monk and a revolutionary they will go in directions precisely opposite?” – Anton Chekhov

“I’m better with code than with words though.” – Satoshi Nakamoto[1]

Did Satoshi Nakamoto, the pseudonymous creator of Bitcoin, actually invent anything new that had not previously existed before? Should people stop referring to a ‘blockchain revolution’ and instead call blockchain a ‘technological evolution’ that happened gradually and was caused randomly by environmental pressures rather than the intentional acts of a unique inventor? These basic questions make up the core of this paper, along with the suggestion that an alternative way of describing blockchain development makes considerably more sense than using the concept of ‘evolution’ in the digital era.

While it is unoriginal to ask whether blockchain distributed ledger technology should be thought of as an ‘evolution’ or a ‘revolution,’ since many people have asked it already (see bibliography below, including texts and videos), in this paper I’ll go a step deeper by looking at what people actually mean when they refer to blockchain as either an ‘evolution’ or a ‘revolution,’ or rather inconsistently as both at the same time.

In short, I’ll distinguish between their colloquial, ideological and technical uses and ask if one, both or neither of these terms is accurate of the changes blockchain has made, is making and will make as a new global digital technology.

Introduction: From the Book of Satoshi

In the Foreword to The Book of Satoshi: The Collected Writings of Bitcoin Creator Satoshi Nakamoto, libertarian Bitcoin activist Jeff Berwick wrote: “Bitcoin has changed everything. Its importance as an evolution in money and banking cannot be overstated. Notice I don’t use the word ‘revolution’ here because I consider Bitcoin to be a complete ‘evolution’ from the anachronistic money and banking systems that humanity has been using—and been forced by government dictate to use—for at least the last hundred years.” (2014: xvii)

While I don’t really understand what he means by a ‘complete evolution,’ Berwick’s attention to the difference in meaning between ‘evolution’ and ‘revolution’ regarding Bitcoin nevertheless sets the stage for this exploration of blockchain technology, as we consider its current development trajectory. Which term is more suitable?

Worth noting, nowhere in Satoshi Nakamoto’s collected writings is either the term ‘evolution’ or ‘revolution’ to be found. Berwick’s interpretation of ‘blockchain evolution,’ framed within his worldview as an anarcho-capitalist, is thus of his own making and not one that derives from Nakamoto himself. I’ll touch on why I believe that is below. Also of note, the book’s writer and compiler of Nakamoto’s writings, Phil Champagne, states that, “Bitcoin, both a virtual currency and a payment system, represents a revolutionary concept whose significance quickly becomes apparent with a first transaction. … Bitcoin has therefore clearly sparked a new technological revolution that capitalizes on the Internet, another innovation that changed the world.” (2014: 2, 7)

Champagne closes the book stating, “Satoshi Nakamoto brought together many existing mathematical and software concepts to create Bitcoin. Since then, Bitcoin has been an ongoing experiment, continuing to evolve and be updated on a regular basis. It has, so far, proven its utility and revolutionized the financial and monetary industry, particularly the electronic payment system, and is being accepted worldwide.” (2014: 347) The use of both ‘evolution’ and ‘revolution’ in past and present tense shows a debate exists even within this one book about which term best fits blockchain’s current and future status in society.

This paper will look closely at the difference between these two terms as they relate to blockchain, largely staying away from speculation about cryptocurrencies, i.e. digital tokens, crypto-assets, and/or crypto-securities. It will primarily serve to catalogue the way people have used these two terms with respect to blockchain and cryptocurrency and ask if they are suitable or unsuitable terms. In conclusion, I offer an analysis of why the distinction between these two terms matters as different ways to describe change-over-time and assess an alternative model to analyse and discuss these changes called ‘digital extension services.’ 

Reflexive Background and Context 

To set the background and context, let me write reflexively about why I am writing this paper. Over the past 15+ years studying the topic, I’ve become somewhat of an expert on how the term ‘evolution’ is used outside of the natural-physical sciences, in theories such as ‘social and cultural evolution,’ ‘evolutionary economics’ and ‘technological evolution.’

I wrote a master’s thesis comparing the concepts of ‘evolution,’ ‘extension’ and ‘Intelligent Design,’ and have published more than 20 papers and delivered more than 30 presentations at international conferences outlining and exploring the limits of ‘evolutionary’ thinking as well as promoting the notion of ‘human extension’ in social sciences and humanities[2].

My interest in this paper is to clear up what appears as massive public confusion and oftentimes puzzling equivocation about various types of change-over-time, especially non-evolutionary changes such as revolution, development, emergence, and extension. Some people think there is no such thing as a ‘non-evolutionary’ change since all change must be ‘evolutionary,’ in response to which I would like to set the record straight.

There are undoubtedly some people who will consider this paper and having written it to be a complete waste of time and for them, it’s best to stop reading at the end of this sentence. However, others may find in this exploration a key distinction towards gaining even a small bit of insight and perhaps some understanding into the considerable differences between biological change-over-time and technological development[3], innovation and planning, the latter which generally fall outside of the meaning of ‘evolution.’

Notably, I find it somewhat humorous for having studied this rather arcane social epistemological topic quite closely for many years to be able to write this paper now. It’s meant that I’ve had to lock horns repeatedly with ideological (young earth) creationists, Intelligent Design advocates and evolutionists on many occasions along the way[4]. What I have discovered is that sometimes choosing the right term matters and sometimes it doesn’t; some people want to use a term to mean whatever they want it to mean[5] and it’s most often not worth taking the time in trying to stop or persuade them.

When I learned in 2016 that blockchain technology is about more than just cryptocurrency, and that it also has potentially significant and far-reaching implications for a variety of social, cultural and educational uses, it simply made sense to bring some of the knowledge I had gathered as an associate professor and researcher into my study of distributed ledgers, which is what leads to this text.

In Q3 2017, I asked and answered myself on Twitter as follows: “Is blockchain really evolving of its own accord? No.” I copied that message to the Managing Director of the Blockchain Research Institute (BRI) in Toronto, Hilary Carter, who I had met that summer at the Blockchain Government Forum in Ottawa. She replied: “Agreed! Evolution is a series of beneficial genetic accidents. Blockchain and the development of the community is entirely intentional.” (24 Sep 2017) That exchange happened after I had recently arrived in Yangon, Myanmar, first to teach, then to work as Director of Blockchain Innovation at an educational technology startup company. I had many new things and needs to focus on and didn’t think about it too much further at that time.

However, after returning to Canada in 2018, I later raised this topic again directly in conversation with Carter[6]. While she still stands behind the view that blockchain is indeed a revolutionary phenomenon and that its development is based upon the various intentions of its builders and creators, she also suggested that, “the blockchain ecosystem is [an] evolution,” that it is in a state of maturation, and that, “no one is controlling it.” It is the latter contention that I’d like to take up again now and ‘unpack’ during the course of this paper.

Carter’s view, to which I will return below, raises an important question about how blockchain was invented, as well as the way that blockchain ecosystem development is currently being planned and executed, and both how and why people are aiming for social scalability and public adoption. Also, it raises the question of what then counts as the ‘blockchain revolution’ that BRI founder Don Tapscott wrote a book about with his son Alex in 2016.

To me, Carter’s original comment that blockchain development is ‘entirely intentional’ is obviously correct and requires no further commentary for validation. However, it also signifies that there is at least some type of ‘control’ when it comes to actual blockchain technology building, even if the trajectory of distributed ledgers aren’t being controlled, nor are they entirely predictable, by any single person or company, anywhere in the world.

My prior research in sociology of science had shown that while the term ‘evolution’ is used by not a few people in a basic colloquial sense simply as a synonym for ‘change,’ it can also be used, and not rarely, in an ideological sense that draws on ‘cultural evolutionary’ theories in SSH or in the case of technology, one that adheres to the so-called ‘laws of software evolution[7]‘ (M. Lehman). It is the latter usage of the term ‘evolution’ that I wholeheartedly reject and think has caused great damage to human self-understanding and initiative.

Let it be clear, however, in stating this that I am not one of the ‘new evolution deniers’ (Wright 2018) pursuing an anti-biology or anti-science blank slate ideology that doesn’t acknowledge change-over-time, which is evident in many ways across a range of cultural issues. Rather, I’m a dedicated social scientific researcher and more recently community builder of blockchain technology who rejects the notion that ‘no one is in control’ of what is being developed (i.e. ‘unguided evolution’).

Likewise, I strongly reject the misanthropic worldview that claims ‘there is no purpose[8]‘ (Dawkins) in change-over-time. I oppose both of these positions as dehumanising. So, with this context provided, the following sections present my research findings into how other people use the terms ‘evolution’ and ‘revolution’ with respect to blockchain technology.

Equivocating Between Evolution and Revolution 

“Bitcoin is a completely new narrative. It alters everything, and in 20 to 30 years from now, people will not recognise the world we are in because of Bitcoin.” – Craig Steven Wright (2019a)

Many writers on the topic of blockchain switch back and forth equivocally between ‘evolution’ and ‘revolution,’ apparently without much rhyme or reason, not carefully distinguishing between them. Rather curiously, this includes the Tapscotts. “We strongly believe that India has the potential to lead the blockchain revolution[9],” said Don Tapscott in 2018.

And there are indeed many places where Don and his son Alex use the term ‘revolution’ to describe blockchain in their 2016 book, which I will outline in the following paragraphs. They write, “Like the first generation of the Internet, the Blockchain Revolution promises to upend business models and transform industries. But that is just the start. Blockchain technology is pushing us inexorably into a new era, predicated on openness, merit, decentralization, and global participation.” (Ibid) This type of language continues throughout the book, which explains why they gave it the title they did.

However, they also use the term ‘evolution’ to describe technological change. “The Web is critical to the future of the digital world,” they say, “and all of us should support efforts under way to defend it, such as those of the World Wide Web Foundation, who are fighting to keep it open, neutral, and constantly evolving.” (Ibid)

They quote Blake Masters, who states, “Bear in mind that financial services infrastructures have not evolved in decades. The front end has evolved but not the back end. … posttrade infrastructure hasn’t really evolved at all.” (Ibid) Likewise, they cite Joseph Lubin, who says:

“I am not concerned about machine intelligence. We will evolve with it and for a long time it will be in the service of, or an aspect of, Homo sapiens cybernetica. It may evolve beyond us but that is fine. If so, it will occupy a different ecological niche. It will operate at different speeds and different relevant time scales. In that context, artificial intelligence will not distinguish between humans, a rock, or a geological process. We evolved past lots of species, many of which are doing fine (in their present forms).” (Ibid)

The Tapscotts in this vein also consider human-made technology itself, not just biology, as an ‘evolutionary’ phenomenon. They thus label one of their chapters, “The Evolution of Computing: from mainframes to smart pills.” (Ibid) “Unlike our energy grid,” they say, “computing power has evolved through several paradigms. In the 1950s and 1960s, mainframes ruled—International Business Machines and the Wild ‘BUNCH’ (Burroughs, Univac, National Cash Register Corp., Control Data, and Honeywell).

In the 1970s and 1980s, minicomputers exploded onto the scene.” (Ibid) They continue this line of thinking, suggesting that, “Driven by the same technological advances, communications networks evolved, too. From the early 1970s, the Internet (originating in the U.S. Advanced Research Projects Agency Network) was evolving into its present-day, worldwide, distributed network that connects more than 3.2 billion people, businesses, governments, and other institutions. The computing and networking technologies then converged in mobile tablets and handhelds. BlackBerry commercialized the smart phone in the early aughts, and Apple popularized it in the iPhone in 2007.” (Ibid)

Yet at some point unstated, they switch back to ‘revolutionary’ language, suggesting that, “We’re beginning the next major phase of the digital revolution.” (Ibid) They cite Michelle Tinsley of Intel, who “explained why her company is deeply investigating the blockchain revolution: “When PCs became pervasive, the productivity rates went through the roof. We connected those PCs to a server, a data center, or the cloud, making it really cheap and easy for lean start-ups to get computer power at their fingertips, and we’re again seeing rapid innovation, new business models.”

Just imagine the potential of applying these capabilities across many types of businesses, many untouched by the Internet revolution.” (Ibid) In short, their view is that “the technology is always evolving and designs are ever improving.” (Ibid) This encapsulates their equivocating meaning of ‘blockchain revolution,’ from one of the most widely cited texts in the field of blockchain technology.

Carter followed up with me after receiving the first draft of this paper to clarify her position. She explains, “We’ve evolved from single-purpose peer to peer electronic cash to Ethereum to private distributed ledgers to Cryptokitties. Everything is intentional. Evolution post-Bitcoin is more a figure of speech to reflect that blockchain systems have changed[10].” She continues, saying that, “Blockchain was no accidental software that emerged from the first generation of the internet.”

This sentence brings in another ‘change-over-time’ term with the notion of ’emergence,’ that adds to the linguistic feature of this analysis. Carter concludes that, “maybe ‘matured’ is a better word [i.e. than ‘evolution’] – because of the creativity of humans, not because of fortunate digital coincidences.” This explanation from the current leadership of the BRI helps to make sense of the variety of ways that people around the world are now speaking about the ‘growth,’ ’emergence,’ ‘maturing,’ ‘development,’ ‘advancement,’ ‘expansion’ and other ‘change-over-time’ metaphors to describe what is happening with distributed ledger technologies.

But What Are the Meanings of These Words?

Moving on to another writer and public figure, managing director of the IMF, Christine Lagarde similarly switches back and forth between ‘evolution’ and ‘revolution’ in seemingly an unsystematic way. She confirms that, “the fintech revolution questions the two forms of money we just discussed—coins and commercial bank deposits. And it questions the role of the state in providing money.” (2018)

She continues, however, saying, “I have tried to evaluate the case this morning for digital currency. The case is based on new and evolving requirements for money, as well as essential public policy objectives. My message is that while the case for digital currency is not universal, we should investigate it further, seriously, carefully, and creatively.” (Ibid)

One of the most prolific speakers and writers about blockchain, Andreas Antonopolous (2017), believes, “Over time, the way transaction fees are calculated and the effect they have on transaction prioritization has evolved. At first, transaction fees were fixed and constant across the network. Gradually, the fee structure relaxed and may be influenced by market forces, based on network capacity and transaction volume.” (2017: 127) … “Beyond bitcoin, the largest and most successful application of P2P technologies is file sharing, with Napster as the pioneer and BitTorrent as the most recent evolution of the architecture.” (Ibid: 171) He states that,

“the bitcoin network and software are constantly evolving, so consensus attacks would be met with immediate countermeasures by the bitcoin community, making bitcoin hardier, stealthier, and more robust than ever. … In order to evolve and develop the bitcoin system, the rules have to change from time to time to accommodate new features, improvements, or bug fixes. Unlike traditional software development, however, upgrades to a consensus system are much more difficult and require coordination between all the participants.” (Ibid: 256)

Further, he argues that, “Consensus software development continues to evolve and there is much discussion on the various mechanisms for changing the consensus rules.” (Ibid: 266) We thus see a major focus on ‘evolutionary’ blockchain change.

Yet in the final paragraph of the book, Antonopolous says, “We have examined just a few of the emerging applications that can be built using the bitcoin blockchain as a trust platform. These applications expand the scope of bitcoin beyond payments and beyond financial instruments, to encompass many other applications where trust is critical. By decentralizing the basis of trust, the bitcoin blockchain is a platform that will spawn many revolutionary applications in a wide variety of industries.” (Ibid: 304) The future of blockchain, therefore might be revolutionary based on many ‘evolutions’ of the technology.

In Life after Google: the Fall of Big Data and the Rise of the Blockchain Economy, George Gilder flip-flops back and forth between evolution and revolution with little apparent consistency, speaking about “the root-and-branch revolution of distributed peer-to-peer technology, which I call the ‘cryptocosm’,” (2018: 44) then stating that, “[t]he next wave of innovation will compress today’s parallel solutions in an evolutionary convergence of electronics and optics.” (Ibid: 58)

He suggests that, “[a] decentralized and open global rendering system is foundational for disruptive services and platforms to evolve from the post-mobile world of immersive computing, just as the open web was formed in the creation of Google, Amazon and Facebook.” (Ibid: 205) However, he also notes that, “Far beyond mere high-definition voice, 5G is the technological infrastructure for a coming revolution in networks. It enables new distributed security systems for the Internet of Things, the blockchain ledgers of the new crypto-economy of micropayments, and the augmented and virtual reality platforms of advanced Internet communications.” (Ibid: 231)

Gilder’s language seems to sometimes be more about appearance than substance, as he writes, “In the evolving technological economy, shaped by cryptographic innovations, Google is going to have to compete again.” (Ibid: 239) Further explaining, he notes that, “The revolution in cryptography has caused a great unbundling of the roles of money, promising to reverse the doldrums of the Google Age, which has been an epoch of bundling together, aggregating, all the digital assets of the world.” (Ibid: 256)

One key formulation renders his ideological views visible, reflecting his affiliation with the Discovery Institute: “The new system of the world must reverse these positions, exalting the singularities of creation: mind over matter, human consciousness over mechanism, real intelligence over mere algorithmic search, purposeful learning over mindless evolution, and truth over chance. A new system can open a heroic age of human accomplishment.” (Ibid: 272) Gilder seems to have no difficulty both denying and accepting ‘evolution’ at the same time, regardless of the fact that everyone agrees both ‘minds’ and ‘matter’ are involved in developing technologies.

Uncertainty Too From Financial Technology Leaders

Hanna Halaburda writes for the Bank of Canada (2018), saying, “The market’s excitement about blockchain technologies is growing and is perhaps best summarized in the increasingly popular slogan ‘blockchain revolution.’ It is estimated that the blockchain market size will grow from US$210 million in 2016 to over US$2 billion by 2021.” (2018: 1) Later in the paper she uses both terms, suggesting that,

“The broadening of the meaning of ‘blockchain’ to include smart contracts, encryption and distributed ledger could simply reflect the evolution of a term in a living language. However, precision matters for estimating costs and benefits, or even for predicting the best uses of blockchain technologies. Smart contracts, encryption and distributed ledger each bring different benefits. And since they can be implemented independently, an optimal solution for a particular application may include only some of these tools but not others. This may matter for the future of the blockchain revolution.” (Ibid: 5)

In conclusion, she accepts the same terminology as the Tapscotts, saying, “The blockchain revolution has brought distributed databases to the forefront and may result in wider adoption and new ideas for their use.” (Ibid: 9)

Andrea Pinna and Weibe Ruttenberg (2016) write that, “Over the last decade, information technology has contributed significantly to the evolution of financial markets, without, however, revolutionising the way in which financial institutions interact with one another. This may be about to change, as some market players are now predicting that new database technologies, such as blockchain and other distributed ledger technologies (DLTs), could be the source of an imminent revolution.” (Ibid: 2) “It is not yet, therefore, clear whether DLTs will cause a major revolution in mainstream financial markets or whether their use will remain limited to particular niches.” (Ibid: 32)

Former Chief Scientific Advisor to the British Government, Mark Walport (2016) suggests, “The development of block chain technology is but the first, though very important step towards a disruptive revolution in ledger technology that could transform the conduct of public and private sector organisations.” (2016: 10) He continues, “Regulation will need to evolve in parallel with the development of new implementations and applications of the technology” (Ibid: 12)

However, he also distinguishes a ‘revolutionary’ dimension to the technology, saying, “We are still at the early stages of an extraordinary post-industrial revolution driven by information technology. It is a revolution [that] is bringing important new benefits and risks. It is already clear that, within this revolution, the advent of distributed ledger technologies is starting to disrupt many of the existing ways of doing business.” (Ibid: 16)

And then he reverts back to evolutionary language, saying, “The terminology of this new field is still evolving, with many using the terms block chain (or blockchain), distributed ledger and shared ledger interchangeably.” (Ibid: 17) He emphasizes that, “M-Pesa challenged the notion that value transfer for exchange transactions had to be done through banks, and leapfrogged several developmental stages. But these innovations still rely on an existing hierarchical structure, using proprietary technology and trusted intermediaries. Though the change improves customer convenience, and significantly reduces costs to users and customers, this is evolution rather than revolution.” (Ibid: 54) Walport is one of the few voices insisting that changes in blockchain development are happening at a rather slower than rapid pace, which seems to determine his choice of terms.

Sam Town makes clear his preferred terminology between the two notions, stating, “While the ICO as it exists today may be gone tomorrow, the blockchain brings evolution, not revolution.” (2018) Here he seems to be suggesting that while ICOs may not last long as a credible method of fundraising, at least not without more stringent regulatory oversight, that nevertheless blockchain distributed ledger technologies will indeed have lasting and significant impact on finance and economics.

Does Evolution vs Revolution Matter?

Ugur Demirbas et al. (2018) also write to intentionally distinguish the two terms, saying, “In summary, while digital transformation shows disruptive influence on individual elements, its overall effect is rather evolutionary than revolutionary. The impact of DT in the context of the overarching corporate sourcing strategy is an incremental change than a disruptive creation of something completely new.” (2018: 8)

Again we see an explanation given that ‘evolutionary’ is preferred because of the pace (slow) and type (incremental) of change or the people’s aims and goals involved in developing the technology. They also indicate ‘disruption’ and ‘something completely new’ in their meaning of ‘revolutionary,’ which we will look at again below.

Jagjit Dhaliwal (2018) says that, “We all know that the Blockchain technology is revolutionizing our future by providing distributed networks, allowing peer-to-peer transactions without intermediaries. We have come a long way in a really short period of time from the inception of Bitcoin, one of the first cryptocurrencies based on Blockchain technology.”

He continues saying that, “Everyone is curious about which platform and cryptocurrency will win the race. The DLT landscape is changing rapidly and evolving really fast. I won’t be surprised if some of the solutions in this article will [sic] extinct soon.” Dhaliwal thus likewise shows that the pace of change impacts his choice of terms, though it is unclear how ‘rapid change’ and ‘fast evolution’ differ from ‘revolutionary.’

In a paper curiously named “The Evolution of Blockchain Development” (2017), the team at Alibaba Cloud similarly suggests that, “Blockchain as a technology has evolved rapidly in the past decade.” They continue, however, by appealing to readers: “Let us discuss a few major innovations that have revolutionized this field[11].” This is yet another example of the confusion in using the terms ‘evolution’ and ‘revolution’ when there is no clear explanation of what differentiates one from the other.

Megan Ray Nichols weighs in on the ‘revolution’ side, when she says, “blockchain is serving as a critical component in a major revolution that also includes rapid prototyping, lean manufacturing, 3D printing, & now blockchain-facilitated manufacturing & supply contracts.” (2018).

This and several of the examples above certainly do not refer to a ‘political revolution’ or ‘scientific revolution,’ but rather to an incoming ‘technological revolution’ that is supposedly happening all around us with ’emergent’ or ‘nascent’ new technologies, including, but not exclusive to blockchain. The hype surrounding blockchain with expectations in the near future, however, often seems to far exceed evidence of what has changed so far because of it.

Don Tapcott responded in an interview with McKinsey that, “the blockchain, the underlying technology, is the biggest innovation in computer science—the idea of a distributed database where trust is established through mass collaboration and clever code rather than through a powerful institution that does the authentication and the settlement[12].”

We have, of course, heard this kind of suggestive language before, so it’s not like predictions about ‘revolutionary technology’ are entirely new. One example of this harkens back to what Fred Brooks asked in 1975, if “technical developments that are most often advanced as potential silver bullets … offer revolutionary advances, or incremental ones?” (1975: 188) While not a few people have expressed inflated expectations for distributed ledger systems, we are still nevertheless waiting for a clear example of widespread usage of blockchain to be able to assess the variable speeds at which adoption can and likely will eventually take place.

With that basic background, we will now look at largely colloquial uses of the term ‘evolution’ as it relates to blockchain technology development.

Colloquial Usage of ‘Evolution’ for Blockchain Technology Development

A remarkable pattern among technology writers is to apply the term ‘evolution’ in what appears to be a basic colloquial way, suggesting no theoretical underpinning or technical meaning, and with no ideological implications. Instead, for these cases, the notion of ‘evolution’ is basically just used as a synonym for either ‘change’ (i.e. over time), ‘development,’ ‘creation’ or some kind of a general ‘process of history.’

Brigid McDermott, vice president of IBM blockchain business development, states:

“We’re asking companies to join to help evolve the solution and guide and steer its direction.”

“We’ll do PoCs [proofs-of-concept] later down the line.[1]” In this case, the verb ‘to evolve’ is meant in the same way as ‘to create,’ ‘to build’ or ‘to develop,’ without the notion of a natural genetic population, implication of a ‘struggle for life’ or ‘survival of the fittest,’ rates of mutation, variation, or other notions usually connected with ‘biological evolutionary theory.”

The Commonwealth of Learning suggests that, “When it comes to educational innovation, blockchains and ledgers are likely to lead to evolutionary gains[2].” While it is not entirely clear what they mean in this short report, we are likely supposed to gather a sense of ‘progress’ or ‘advancement’ in what they imply and suggest blockchain will lead to in the field of education.

Margaret Leigh Sinrod writes about blockchain for the World Economic Forum (2018). “The fact that banks are investing in this [blockchain] technology may sound fairly paradoxical,” she says, “given the context in which it evolved and gained traction.” In this case, the term ‘evolved’ seems to simply signify ‘history,’ i.e. that ‘something has happened’ and that blockchain now continues to persist as a phenomenon.

Dennis Sahlstrom similarly tells us that, “the evolution of blockchain arrived with Ethereum, created by Vitalik Buterin, which was an improvement of Bitcoin. This evolution added a further element which is the ability to build decentralized applications (dApps) and smart contracts to ensure that deals, transactions, and many other tasks can be performed without intermediaries.” (2018)

Here we see ‘evolution’ used as a way to symbolise a historical fact, again that ‘something has happened,’ thus indicating a new ‘stage’ of blockchain that also was ‘created. This approach might be confusing to people who accept a more technical meaning of ‘evolution’ as distinct from ‘creation’ or ‘intentional planning,’ almost sounding as if blockchain has taken on a life of its own.

John Dean Markunas from Power of Chain Consultancy continues this anthropomorphic language, suggesting that, “The [blockchain] technology itself will continue to evolve along with a wide variety of creative applications developed on top of it, similar to the development of the internet and world-wide-web[3].” This usage, while it signifies persistence and continuity, appears particularly confusing since the term ‘development’ is also used referring to the Internet, which other people claim has led to a ‘revolution’ in human society, as seen above.

Tadas Deksnys CEO and Founder of Unboxed writes that, “Though the future of ICOs is vague, the blockchain industry is still evolving and presenting new opportunities[4].” Again, we see here the notion of both history and continuity and that there is some kind of on-going process of unspecified speed, type or significance.

These are all common examples of people involved in or writing about the blockchain industry who suggest that blockchain demonstrates an ‘evolutionary’ rather than a ‘revolutionary,’ ‘developmental’ or otherwise ‘non-evolutionary’ process of change-over-time.

Frederik De Breuck (2019) says that, “its capabilities and platforms (both public and private) are rapidly evolving and blockchain and distributed ledgers remain for me (and many others) two of the most promising technology evolutions of recent decades for their potential to transform both society and enterprises.”

He uses other change-based concepts as well, such as emergence and extension, in the latter case saying, “[w]e think next year will see the ongoing evolution of these complex trust architectures and their extension beyond their organizational boundaries, into both ecosystems and society.” (Ibid) This language basically indicates something supposedly important is happening with blockchain, a description that it is growing and reaching more people in a community, network and/or ecosystem.

Reflections of What May Be Historical Precedents

Jesus Leal Trujilo et al. in their Deloitte paper (2017) base their logic in the ‘evolution’ of digital ecosystems, writing, “Our study appears to be the first empirical attempt to understand the evolution of blockchain using metadata available on GitHub … Our findings could help firms improve their ability to identify successful projects and opportunities based on how the blockchain ecosystem is evolving.” (2017: 2)

They also address the time period in terms of stages of development, saying, “At the current evolutionary stage of blockchain technology, it is likely to be in a developer’s best interest to develop, or watch the development of, blockchain solutions on open source. Blockchain appears to have a better chance to more quickly achieve rigorous protocols and standardization through open-source collaboration, which could make developing permissioned blockchains easier and better.” (Ibid: 5)

They continue, “The data scientists of Deloitte developed and honed a methodology to analyze and organize GitHub data in order to better understand the evolution of a young, possibly transformative technology and its ecosystem.” (Ibid: 15) They conclude saying, “It is our hope that these findings can arm the financial services industry with the data it may need to not only better identify successful projects and opportunities based on how the blockchain ecosystem is evolving, but to become influential participants, themselves, in how blockchain evolves.” (Ibid: 15) Thus, the promote both the development and so-called ‘evolution’ of blockchain technology based on the language of ‘ecosystem’ that loosely mimics biology.

The Systems Academy suggests about blockchain technology that, “over the past years it has been evolving fast, from the original Bitcoin protocol to the second generation Ethereum platform, to today where we are in the process of building what some call blockchain 3.0. In this evolution we can see how the technology is evolving from its initial form as essentially just a database, to becoming a fully-fledged globally distributed cloud computer.”

They add to others in this paper who suggest that, “The development and adoption of the Ethereum platform was a major step forward in the evolution of blockchain technology[5],” suggesting a kind of ‘progress’ narrative that switches between ‘development’ and ‘evolution’ and indicates improvement rather than replacement or destruction of the old system.

Stapels et al. flip back and forth between ‘development’ and ‘evolution,’ stating that, “blockchains are still a rapidly evolving technology, with ongoing developments, especially to improve scalability and confidentiality. Globally, governments, enterprises, and startups are exploring the technology/market fit in a wide variety of use cases and for a wide variety of requirements and regulatory demands.” They also suggest a present lack of knowledge towards building and maintaining trust among blockchain users, saying “There is still much that is unknown about the development of trustworthy blockchain-based systems.” (2018: 1)

Bryan Zhang writes in the Foreword to Rauchs et al. 2018, that, “the landscape of DLT itself continues its swift evolution.” Again, we see the suggestion of a continuity of some kind, as if we are in a historical period of flux and change with the rise of DLTs. In conclusion, the authors state that, “Nearly 10 years after Bitcoin entered the world, the DLT ecosystem is still in early stages: it is constantly evolving and characterised by relentless experimentation and R&D.” (2018: 92)

This usage doesn’t necessarily imply that Bitcoin arrived on its own without a creative inventor or network of users, but rather that it’s simply in a process that has yet to reach its conclusion and thus should be thought of as impermanent or temporary.

ElBarhrawy et al. (2017) “Here, we present a first complete analysis of the cryptocurrency market, considering its evolution between April 2013 and May 2017.” (Ibid: 2) They then suggest there is a theoretical underpinning one can use to study this historical period involving cryptocurrencies. “By adopting an ecological perspective, we have pointed out that the neutral model of evolution captures several of the observed properties of the market.” (Ibid: 7)

In this approach we again see usage of the term ‘evolution’ to mean ‘history,’ yet in a broader way that combines economics with ecology and push the idea of ‘ecosystem’ thinking that is also front and centre in much of the ideological blockchain evolutionism below.

Contact details: gregory.sandstrom@gmailcom

References

Arner, D.W., J.N. Barberis, R.P. Buckley (2015) “The Evolution of FinTech: A New Post-Crisis Paradigm.” 47 Geo. J. Int’l L. 1271.

Antonopolous, Andreas M. (2017). Mastering Bitcoin Programming the Open Blockchain. 2nd Edition, O’Reily.

Ashley, Michael (2019). “Forget Darwinian Evolution. Humanity May Soon Evolve Itself Through A.I.” Forbes. https://www.forbes.com/sites/cognitiveworld/2019/01/15/forget-darwinian-evolution-humanity-may-soon-evolve-itself-through-a-i/

Matthew Bardeen and Narciso Cerpa (2015). “Technological Evolution in Society – The Evolution of Mobile Devices.” https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-18762015000100001

Bejan, A., J.D. Charles, and S. Lorente (2014). “The Evolution of Airplanes.¨ Journal of Applied Physics, 116:044901.

Belady, L.A. And M.M. Lehman (1976). “A Model of Large Program Development.” IBM Systems Journal, 15(3): pp. 225-252.

Berg, Chris, Sinclair Davidson, and Jason Potts (2018). “Institutional Discovery and Competition in the Evolution of Blockchain Technology.” SSRN.

Berners-Lee, Tim (2000). Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web. New York: Harper.

Blakstad S., Allen R. (2018). “Ecosystem vs Egosystem and Revolution vs Evolution.” In: FinTech Revolution. Palgrave Macmillan, Cham.

Brooks, Fred P. (1986). “No Silver Bullet — Essence and Accident in Software Engineering.” Proceedings of the IFIP Tenth World Computing Conference: pp. 1069–1076.

Brooks, Fred (1975). The Mythical Man-Month. Addison-Wesley.

Brey, Phillip (2008). ‘Technological Design as an Evolutionary Process.” In Philosophy and Design: From Engineering to Architecture. Eds. P. Vermaas, P. Kroes, A. Light and S. Moore,  Springer.

Buitenhek, Mark (2016). “Understanding and applying Blockchain technology in banking: Evolution or revolution?” Journal of Digital Banking, Volume 1 / Number 2 / AUTUMN/FALL 2016, pp. 111-119 (9).

Campbell, Donald T. (1960). “Blind Variation and Selective Retention in Creative Thought as in other Knowledge Processes.” Psychological Review, 67: pp. 380-400.

Casey, M.J., P. Vigna (2015). “Bitcoin and the Digital-Currency Revolution.” Wall St. J.23. https://www.wsj.com/articles/the-revolutionarypower-of-digital-currency-1422035061

Chakraborty, Sumit (2018). FinTech: Evolution or Revolution. 1st Edition.

Champagne, Phil (2014). The Book of Satoshi: The Collected Writings of Bitcoin Creator Satoshi Nakamoto. E53 Publishing.

Dawkins, Richard (1986). The Blind Watchmaker: Why the Evidence of Evolution Reveals a Universe without Design. Norton & Company.

De Breuck, Frederik (2019). “Next steps in the evolution of blockchain.” https://blog.global.fujitsu.com/next-steps-in-the-evolution-of-blockchain/

Demirbas, Ugur, Heiko Gewald, Bernhard Moos  (2018). “The Impact of Digital Transformation on Sourcing Strategies in the Financial Services Sector: Evolution or Revolution?”  Twenty-forth Americas Conference on Information Systems, New Orleans.

Dhaliwal, Jagjit (2018). “The Evolution of Blockchain.” https://www.linkedin.com/pulse/evolution-blockchain-jagjit-dhaliwal-pmp/

Douthit, Chris (2018) “The Evolution of Blockchain — Where Are We?” https://hackernoon.com/the-evolution-of-blockchain-where-are-we-f0043b2d0cd0

Easley, David, Maureen O’Hara, and Soumya Basu (2017). “From Mining to Markets: The Evolution of Bitcoin Transaction Fees.” SSRN.

ElBahrawy, A., L. Alessandretti, A. Kandler, R. Pastor-Satorras, & A. Baronchelli (2017). “Evolutionary dynamics of the cryptocurrency market.” Royal Society Open Science, 4(11), 170623.

Fenwick, M., W.A. Kaal, EPM Vermeulen (2017). “Legal Education in the Blockchain Revolution.” 20 Vand. J. Ent. & Tech. L. 351.

Gilder, George (2018).  Life after Google: the Fall of Big Data and the Rise of the Blockchain Economy. Gateway Editions.

Harker, Patrick T. (2017). “FinTech: Evolution or Revolution?” Technology, Business and Government Distinguished Lecture Series.

Halaburda, Hanna (2018). Blockchain Revolution Without the Blockchain. Bank of Canada.  

Hedera Hashgraph Team (2018). “The Evolution of Possibilities.” https://www.hedera.com/blog/the-evolution-of-possibilities

Hegadekatti, Kartik (2017). “Blockchain Technology – An Instrument of Economic Evolution?” SSRN. https://mpra.ub.uni-muenchen.de/82852/

Herraiz, Israel, Daniel Rodriguez, Gregorio Robles, Jesus M. Gonzalez-Barahona (2013). “The Evolution of the Laws of Software Evolution”. ACM Computing Surveys. 46 (2): pp. 1–28.

Hochstein, Mark (2015). “BankThink: Fintech (the Word, That Is) Evolves.” https://www.americanbanker.com/opinion/fintech-the-word-that-is-evolves

Kakavand, Hossein, Nicolette Kost De Sevres and Bart Chilton (2017). “The Blockchain Revolution: An Analysis of Regulation and Technology Related to Distributed Ledger Technologies.” SSRN.

Künnapas K. (2016). “From Bitcoin to Smart Contracts: Legal Revolution or Evolution from the Perspective of de lege ferenda?” In: Kerikmäe T., Rull A. (eds) The Future of Law and eTechnologies. Springer, Cham .

Lagarde, Christine (2018). “Winds of Change: The Case for New Digital Currency.” https://www.imf.org/en/News/Articles/2018/11/13/sp111418-winds-of-change-the-case-for-new-digital-currency

Lawrie, Alexandra (2014). The Beginnings of University English Extramural Study, 1885– 1910. Palgrave Macmillan.

Lehman, Meir M. (1980). “Programs, Life Cycles, and Laws of Software Evolution”. Proc. IEEE. 68 (9): pp. 1060–1076.

Liu, Stella (2017). “Green Revolution 2.0 aims to boost rural net connectivity.” https://www.nst.com.my/opinion/columnists/2017/07/254923/green-revolution-20-aims-boost-rural-net-connectivity

Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system.

Narayanan, Arvind and Jeremy Clark (2017). “Bitcoin’s Academic Pedigree.” Communications of the ACM, 60, 12: pp. 36-45.

Naryanyan, V. (2018). A brief history in the evolution of blockchain technology platforms.” https://hackernoon.com/a-brief-history-in-the-evolution-of-blockchain-technology-platforms-1bb2bad8960a

Nichols, Megan Ray (2018). “Blockchain: The Next Big Disruptor in the Manufacturing Industry.” https://news.thomasnet.com/featured/blockchain-the-next-big-disruptor-in-the-manufacturing-industry/

Pinna, Andrea and Wiebe Ruttenberg (2016). “Distributed Ledger Technologies in Securities Post-Trading Revolution or Evolution?” ECB Occasional Paper No. 172.

Rauchs, Michel, Andrew Glidden, Brian Gordon, Gina Pieters, Martino Recanatini, François Rostand, Kathryn Vagneur and Bryan Zhang (2018). Distributed Ledger Technology Systems: A Conceptual Framework. Cambridge Centre for Alternative Finance.

Ravikant, Naval (2017). “The Knowledge Project.” The Farnam Street Learning Company. https://fs.blog/wp-content/uploads/2017/02/Naval-Ravikant-TKP.pdf

Rose, C. (2015). “The Evolution Of Digital Currencies: Bitcoin, A Cryptocurrency Causing A Monetary Revolution.” International Business & Economics Research Journal (IBER), 14(4): pp. 617-622.

Sahlstrom, Dennis (2018). “The Future is Here – The Evolution of Blockchain.” https://toshitimes.com/the-future-is-here-the-evolution-of-blockchain/

Sandstrom, Gregory (2017). “Anyone Who Thinks Blockchain Technology is Evolving Put Your Hand Up.” https://medium.com/@gregory.sandstrom/anyone-who-thinks-blockchain-technology-is-evolving-put-your-hand-up-a80c30644894

Sandstrom, Gregory (2017a). “Enter Blockchain: The Non-Evolutionary Recovery of Genesis  in Contemporary Discussions of Innovation and Emerging Technologies.” https://medium.com/@gregory.sandstrom/enter-blockchain-the-non-evolutionary-recovery-of-genesis-in-contemporary-discussions-of-96ae135413a6

Sandstrom, Gregory (2017b). “Who Would Live in a Blockchain Society? The Rise of Cryptographically-Enabled Ledger Communities.” Social Epistemology Review and Reply Collective 6, no. 5: pp. 27-41. https://social-epistemology.com/2017/05/17/who-would-live-in-a-blockchain-society-the-rise-of-cryptographically-enabled-ledger-communities-gregory-sandstrom/

Sandstrom, Gregory (2017c). “Evolutionary Epistemology.” Wiley-Blackwell Encyclopedia of Social Theory.

Sandstrom, Gregory (2016). “Trans-Evolutionary Change Even Darwin Would Accept.” Social Epistemology Review and Reply Collective 5, no. 11, 2016: pp. 18-26.

Sandstrom, Gregory (2010). “The Extension of ‘Extension’ OR the ‘Evolution’ of Science and Technology as a Global Phenomenon.” Liberalizing Research in Science and Technology: Studies in Science Policy. Eds. Nadia Asheulova, Binay Kumar Pattnaik, Eduard Kolchinsky, Gregory Sandstrom. St. Petersburg:  Politechnika: pp. 629-655.

Sandstrom, Gregory (2010). “The Problem of Evolution: Natural-Physical or Human Social?” In Charles Darwin and Modern Biology. St. Petersburg: Institute for the History of Science and Technology, Russian Academy of Sciences: pp. 740-748.

Sinrod, Margaret Leigh (2018).  “Still don’t understand the blockchain? This explainer will help.” https://www.weforum.org/agenda/2018/03/blockchain-bitcoin-explainer-shiller-roubini

Smart, Paul R. (2012). “The Web-Extended Mind.” In Special Issue: Philosophy of the Web, Metaphilosophy, 43, (4): pp. 426-445.

Smart, P.R., & Shadbolt, N.R. (2015). “Social Machines.” In Encyclopedia of Information Science and Technology, Third Edition. IGI Global: pp. 6855-6862.

Staples, M., S. Chen, S. Falamaki, A. Ponomarev, P. Rimba, A.B. Tran, I. Weber, X. Xu, L. Zhu (2017). “Risks and Opportunities for Systems Using Blockchain and Smart Contracts.” Data61 (CSIRO).

Swan, Melanie (2015). Blockchain: Blueprint for a New Economy. Sebastopol: CA: O’Reilly.

Swanson, Burton E., Robert P. Bentz and Andrew J. Sofranko (1997). Improving Agricultural Extension: A Reference Manual. Rome: Food and Agriculture Organisation of the United Nations. http://www.fao.org/docrep/w5830e/w5830e00.htm

Szabo, Nick (2002). “Measuring Value.” http://www.fon.hum.uva.nl/rob/Courses/InformationInSpeech/CDROM/Literature/LOTwinterschool2006/szabo.best.vwh.net/measuringvalue.html

Szabo, Nick (1996). “Smart Contracts: Building Blocks for Digital Markets.” http://www.fon.hum.uva.nl/rob/Courses/InformationInSpeech/CDROM/Literature/LOTwinterschool2006/szabo.best.vwh.net/smart_contracts_2.html

Tapscott, Don & Alex (2016). The Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World. Portfolio Penguin.

Town, Sam (2018). “Beyond the ICO Part 3: Evolution Versus Revolution.” https://cryptoslate.com/beyond-the-ico-part-3-evolution-versus-revolution/

Trujillo, Jesus Leal, Stephen Fromhart & Val Srinivas (2017). “Evolution of blockchain technology Insights from the GitHub platform.” Deloitte.

Walport, Mark (2016). “Distributed Ledger Technology: beyond block chain. A report by the UK Government Chief Scientific Adviser.”

Williams, Sam (2002). “A Unified Theory of Software Evolution.” Salon.

Wright, Collin (2018). “The New Evolution Deniers.” https://quillette.com/2018/11/30/the-new-evolution-deniers/

Wright, Craig Steven (2019). “Careful what you wish for…” https://medium.com/@craig_10243/careful-what-you-wish-for-c7c2f19e6c4f

Wright, Craig Steven (2019a). https://medium.com/@craig_10243/proof-of-work-1a323e82fd9

Videos

“Alex Tapscott: Blockchain Revolution | Talks at Google” – https://www.youtube.com/watch?v=3PdO7zVqOwc

“Are Blockchains Alive? Co-evolving with Technology” – Amanda Gutterman (ConsenSys) – https://www.youtube.com/watch?v=X7GkkGTnVwA

“Block Chain Revolution | Giovanna Fessenden | TEDxBerkshires” – https://www.youtube.com/watch?v=oMhZTEQZJPI

“Bitcoin and the history of money” – “Let’s take a look at the evolution of money.” – https://www.youtube.com/watch?v=IP0jCjyrew8

“Blockchain – evolution or revolution?” –  https://www.youtube.com/watch?v=LojzPukAtmM

“Blockchain Evolution & Empowerment” – https://www.youtube.com/watch?v=eSUC9NFccNk

“Blockchain Evolution 2” – Reese Jones – https://www.youtube.com/watch?v=mCPqXHt-z0k

“Blockchain Evolution or Revolution in the Luxembourg Financial Place? – Nicolas Carey https://www.youtube.com/watch?v=Wp9FB_JQlgI

“Blockchain Evolution” – https://www.youtube.com/watch?v=CULUqgfVteg

“Blockchain Evolution” – Complexity Labs – https://www.youtube.com/watch?v=rO2LSBDekvE

“Blockchains’ Evolution by natural selection like biology’s genetics” – Reese Jones – https://www.youtube.com/watch?v=4JEFGtsu0s4

“Blockchain Evolution” – https://www.youtube.com/watch?v=tGcuJoFZLOY

“Chandler Guo on The Bitcoin & Blockchain Revolution” – https://www.youtube.com/watch?v=J7g2JFn68LU

“Cryptos Are The EVOLUTION of Money and Blockchain is the REVOLUTION of Trust! Vlog#18” – Siam Kidd – https://www.youtube.com/watch?v=-nu2F6_K0S0

“DigiByte Blockchain – The evolution of the Internet & the revolution in the financial systems” – https://www.youtube.com/watch?v=w8h10ckU0sE “The revolution has already begun.”

“Don Tapscott – The Blockchain Revolution – https://www.youtube.com/watch?v=gZEmaSbqfYQ

“Evolution of Bitcoin” – Documentary Film – https://www.youtube.com/watch?v=HUpGHOLkoXs

“Evolution of Blockchain And Its Future Moving Forward In 2018!” – https://www.youtube.com/watch?v=YWlMoxMTbDQ

“Evolution of Blockchain in India:The value of Ownership.” – Mr.Akash Gaurav – TEDxKIITUniversity – https://www.youtube.com/watch?v=BtTJmb0jYzE

“Evolution of the Blockchain Economy” – Jeremy Gardner – Startup Grind – https://www.youtube.com/watch?v=Q7cPy6ITUm4

“Future Evolution of Blockchain” – Silicon Valley TV – https://www.youtube.com/watch?v=5_6m7LYIEo4

“Future Thinkers Podcast – a podcast about evolving technology, society and consciousness. https://futurethinkers.org/

“Genetics of Blockchain Evolution” – Reese Jones – https://www.youtube.com/watch?v=8fFsmuvyXeE

“Keynote: Blockchain’s Evolution: Digital Assets are getting Physical” – FinTech Worldwide” – https://www.youtube.com/watch?v=1p5PUn4z_Gs

“How the Blockchain revolution will change our lives? | Eddy Travia | TEDxIEMadrid” https://www.youtube.com/watch?v=ErxKm0b0DIU

“How the Blockchain Revolution Will Decentralize Power and End Corruption | Brian Behlendorf” https://www.youtube.com/watch?v=Tv-XR6gXfLI

“Interview for Bitcoin And Blockchain Evolution Podcast – Sarah Herring – “Evolution – There is a Revolution coming!” https://www.youtube.com/watch?v=tIZJsFotDdg

“John McAfee on Infowars: Nothing Can Stop The Blockchain Revolution” – https://www.youtube.com/watch?v=CssU9WBHx6k

“Make the blockchain business case: Evolution, not revolution” (only title, not in video) – PWC – https://www.youtube.com/watch?v=sjr_Wqwk1SI

“The blockchain evolution, from services…to smartphones.” – Mingis on Tech – https://www.youtube.com/watch?v=jvn5zZj5IR8

“The Blockchain Evolution” – Hewlett Packard – https://www.hpe.com/us/en/insights/videos/the-evolution-of-blockchain-1712.html

“The Blockchain Evolution” – https://www.youtube.com/watch?v=TeyeKXmqQn8

“The Blockchain Evolution” – Cambridge House International” – https://www.youtube.com/watch?v=nELBTdqeKuQ

“The Evolution of Bitcoin – Bill Barhydt – Global Summit 2018 | Singularity” Universityhttps://www.youtube.com/watch?v=CZjK1i9CE6U

“The Evolution of Blockchain and Global Vision (Shanghai)” https://www.youtube.com/watch?v=56rOLarCttA

“The Evolution Of Blockchain Over The Decades” – With David Birch” https://www.youtube.com/watch?v=yC8oBJSQ6vc

“The Evolution of Blockchain technology” – Amir Assif. Microsoft Israel” – https://www.youtube.com/watch?v=f_eKp1z5hj0

“The Evolution of Blockchain: How EOS is reinventing blockchain” – https://www.youtube.com/watch?v=R8aDGf8WpKs

“The Evolution of Blockchain” – Nicola Morris – https://www.youtube.com/watch?v=aSy-UJn1G1I

“The Evolution of Blockchain” – The State of Digital Money 18′ conference” – https://www.youtube.com/watch?v=RWfNVTgbqjc

“The Blockchain Revolution – Graham Richter, Accenture” – https://www.youtube.com/watch?v=AYTmjZmsUm4

“The Blockchain Revolution | Rajesh Dhuddu | TEDxHyderabad” – https://www.youtube.com/watch?v=OrnvX92vlu8

“The Blockchain Revolution by Talal Tabaa – ECOH 2018” – https://www.youtube.com/watch?v=AvRJ1kEQ2so

“The Blockchain Revolution Changing the Rules https://www.youtube.com/watch?v=GTgG8XzcVC0

“The Blockchain Revolution in Business and Finance” – https://www.youtube.com/watch?v=3SUfz6p0a7Y

“The blockchain revolution, the ultimate industry disruptor” – https://www.youtube.com/watch?v=7hEiHR-K_KY

“The Blockchain Revolution: From Organisations to Organism | Matan Field | TEDxBreda” – https://www.youtube.com/watch?v=2OSbseTJWfY

[1] Nov. 14, 2008. https://satoshi.nakamotoinstitute.org/emails/cryptography/12/

[2] Your author of this paper received his degree in ‘Sociological Sciences’ from St. Petersburg State University in Russia, after a dissertation defense at the Sociological Institute of the Russian Academy of Science in 2010.

[3] “The gap between biological evolution and artificial systems evolution is just too enormous to expect to link the two.” – Meir Lehman (In Williams, 2002)

[4] It is most likely that none of the authors cited in this study was thinking about ‘young earth creationism’ as a position that they aimed to oppose by using the term ‘evolution.’ Similarly, no theory of ‘Intelligent Design’ as an alternative to ‘neo-Darwinism’ is at the heart of this paper’s rejection of ‘technological evolutionary’ theories.

[5] “When I use a word,” Humpty Dumpty said, in rather a scornful tone, “it means just what I choose it to mean—neither more nor less.” – Lewis Carroll (Through the Looking-Glass, 1872)

[6] Private conversation 07-02-2019.

[7] “In software engineering there is no theory. It’s all arm flapping and intuition. I believe that a theory of software evolution could eventually translate into a theory of software engineering. Either that or it will come very close. It will lay the foundation for a wider theory of software evolution.” – Lehman (In Williams 2002)

[8] “This is one of the hardest lessons for humans to learn. We cannot admit that things might be neither good nor evil, neither cruel nor kind, but simply callous – indifferent to all suffering, lacking all purpose.” … “The universe we observe has precisely the properties we should expect if there is, at bottom, no design, no purpose, no evil and no good, nothing but blind pitiless indifference.” – Richard Dawkins (River Out of Eden. Basic Books, New York, 1995: 95)

[9] https://money.cnn.com/2018/02/21/technology/canada-india-blockchain-partnership-bri-nasscom/index.html

[10] Private email, 24-02-2019.

[11] https://www.alibabacloud.com/blog/The-Evolution-of-Blockchain-Development_p73812

[12] http://www.mckinsey.com/industries/high-tech/our-insights/how-blockchains-could-change-the-world

[1] http://fortune.com/2017/08/22/walmart-blockchain-ibm-food-nestle-unilever-tyson-dole/

[2] https://www.col.org/news/news/col-promotes-blockchain-education

[3] https://www.linkedin.com/pulse/emancipation-from-ball-chain-blockchain-john-dean-markunas

[4] https://medium.com/unboxed-network/our-journey-so-far-unboxed-airdrop-update-72b63ab52631

[5] http://complexitylabs.io/evolution-of-blockchain/

Author Information: Frank Scalambrino, Duquesne University, franklscalambrino@gmail.com.

Scalambrino, Frank. “Reviewing Nolen Gertz’s Nihilism and Technology.” Social Epistemology Review and Reply Collective 7, no. 12 (2018): 22-28.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-44B

Image by Jinx! via Flickr / Creative Commons

 

There are three (3) parts to this review, each of which brings a philosophical, and/or structural, issue regarding Dr. Gertz’s book into critical focus.

1) His characterization of “nihilism.”

a) This is specifically about Nietzsche.

2) His (lack of) characterization of the anti- and post-humanist positions in philosophy of technology.

a) Importantly, this should also change what he says about Marx.

3) In light of the above two changes, going forward, he should (re)consider the way he frames his “human-nihilism relations”

1) Consider that: If his characterization of nihilism in Nietzsche as “Who cares?” were correct, then Nietzsche would not have been able to say that Christianity is nihilistic (cf. The Anti-Christ §§6-7; cf. The Will to Power §247). The following organizes a range of ways he could correct this, from the most to least pervasive.

1a) He could completely drop the term “nihilism.” Ultimately, I think the term that fits best with his project, as it stands, is “decadence.” (More on this below.) In §43 of The Will to Power, Nietzsche explained that “Nihilism is not a cause, but only the rationale of decadence.”

1b) He could keep the term “nihilism” on the cover, but re-work the text to reflect technology as decadence, and then frame decadence as indicating a kind of nihilism (to justify keeping nihilism on the cover).

1c) He could keep everything as is; however, as will be clear below, his conception of nihilism and human-nihilism relations leaves him open to two counter-arguments which – as I see it – are devastating to his project. The first suggests that from the point of view of Nietzsche’s actual definition of “nihilism,” his theory itself is nihilistic. The second suggests that (from a post-human point of view) the ethical suggestions he makes (based on his revelation of human-nihilism relations) are “empty threats” in that the “de-humanization” of which he warns refers to a non-entity.

Lastly, I strongly suggest anyone interested in “nihilism” in Nietzsche consult both Heidegger (1987) and Deleuze (2006).

1. Gertz’s Characterization of “Nihilism”

Nietzsche’s writings are notoriously difficult to interpret. Of course, this is not the place to provide a “How to Read Nietzsche.” However, Dr. Gertz’s approach to reading Nietzsche is peculiar enough to warrant the following remarks about the difficulties involved. When approaching Nietzsche you should ask three questions: (1) Do you believe Nietzsche’s writings are wholly coherent, partially coherent, or not coherent at all? (2) Do you believe Nietzsche’s writings are wholly consistent, partially consistent, or not consistent at all? (3) Does Nietzsche’s being consistent make a “system” out of his philosophy?

The first question is important because you may believe that Nietzsche was a “madman.” And, the fallacy of ad hominem aside, you may believe his “madness” somehow invalidates what he said – either partially or totally. Further, it is clear that Nietzsche does not endorse a philosophy which considers rationality the most important aspect of being human. Thus, it may be possible to consider Nietzsche’s writings as purposeful or inspired incoherence.

For example, this latter point of view may find support in Nietzsche’s letters, and is exemplified by Blanchot’s comment: “The fundamental characteristic of Nietzsche’s truth is that it can only be misunderstood, can only be the object of an endless misunderstanding.” (1995: 299).

The second question is important because across Nietzsche’s writings he seemingly contradicts himself or changes his philosophical position. There are two main issues, then, regarding consistency. On the one hand, “distinct periods” of philosophy have been associated with various groupings of Nietzsche’s writings, and establishing these periods – along with affirming position changes – can be supported by Nietzsche’s own words (so long as one considers those statements coherent).

Thus, according to the standard division, we have the “Early Writings” from 1872-1876, the “Middle Writings” from 1878-1882, the “Later Writings” from 1883-1887, and the “Final Writings” of 1888. By examining Dr. Gertz’s Bibliography it is clear that he privileges the “Later” and “Unpublished” of Nietzsche’s writings. On the other hand, as William H. Schaberg convincingly argued in his The Nietzsche Canon: A Publication History and Bibliography, despite all of the “inconsistencies,” from beginning to end, Nietzsche’s writings represent the development of what he called the “Dionysian Worldview.” Importantly, Dr. Gertz neither addresses these exegetical issues nor does he even mention Dionysus.

The third question is important because throughout the last century of Nietzsche scholarship there have been various trends regarding the above, first two, questions, and often the “consistency” and “anti-system” issues have been conflated. Thus, scholars in the past have argued that Nietzsche must be inconsistent – if not incoherent – because he is purposefully an “anti-systematic thinker.”

However, as Schaberg’s work, among others, makes clear: To have a consistent theme does not necessitate that one’s work is “systematic.” For example, it is not the case that all philosophers are “systematic” philosophers merely because they consistently write about philosophy. That the “Dionysian Worldview” is ultimately Nietzsche’s consistent theme is not negated by any inconsistencies regarding how to best characterize that worldview.

Thus, I would be interested to know the process through which Dr. Gertz decided on the title of this book. On the one hand, it is clear that he considers this a book that combines Nietzsche and philosophy of technology. On the other hand, Dr. Gertz’s allegiance to (the unfortunately titled) “postphenomenology” and the way he takes up Nietzsche’s ideas make the title of his book problematic. For instance, the title of the first section of Chapter 2 is: “What is Nihilism?”

What About the Meaning of Nihilism?

Dr. Gertz notes that because the meaning of “nihilism” in the writings of Nietzsche is controversial, he will not even attempt to define nihilism in terms of Nietzsche’s writings (p. 13). He then, without referencing any philosopher at all, defines “nihilism” stating: “in everyday usage it is taken to mean something roughly equivalent to the expression ‘Who cares?’” (p. 13). Lastly, in the next section he uses Jean-Paul Sartre to characterize nihilism as “bad faith.” All this is problematic.

First, is this book about “nihilism” or “bad faith”? It seems to be about the latter, which (more on this to come) leads one to wonder whether the title and the supposed (at times forced) use of Nietzsche were not a (nihilistic?) marketing-ploy. Second, though Dr. Gertz doesn’t think it necessary to articulate and defend the meaning of “nihilism” in Nietzsche, just a casual glance at the same section of the “Unpublished Writings” (The Will to Power) that Gertz invokes can be used to argue against his characterization of “nihilism” as “Who cares?”

For example, Nietzsche is far more hardcore than “Who cares?” as evidenced by: “Nihilism does not only contemplate the ‘in vain!’ nor is it merely the belief that everything deserves to perish: one helps to destroy… [emphasis added]” (1968b: 18). “Nihilism” pertains to moral value. It is in this context that Nietzsche is a so-called “immoralist.”

Nietzsche came to see the will as, pun intended, beyond good and evil. It is moralizing that leads to nihilism. Consider the following from Nietzsche:

“Schopenhauer interpreted high intellectuality as liberation from the will; he did not want to see the freedom from moral prejudice which is part of the emancipation of the great spirit… Fundamental instinctive principle of all philosophers and historians and psychologists: everything of value in man, art, history, science, religion, technology [emphasis added], must be proved to be of moral value, morally conditioned, in aim, means and outcome… ‘Does man become better through it?’” (1968b: pp. 205-6).

The will is free, beyond all moral values, and so the desire to domesticate it is nihilistic – if for no reason other than in domesticating it one has lowered the sovereignty of the will into conformity with some set of rules designed for the preservation of the herd (or academic-cartel). Incidentally, I invoked this Nietzschean point in my chapter: “What Control? Life at the limits of power expression” in our book Social Epistemology and Technology. Moreover, none of us “philosophers of the future” have yet expressed this point in a way that surpasses the excellence and eloquence of Baudrillard (cf. The Perfect Crime and The Agony of Power).

In other words, what is in play are power differentials. Thus, oddly, as soon as Dr. Gertz begins moralizing by denouncing technology as “nihilistic,” he reveals himself – not technology – to be nihilistic. For all these reasons, and more, it is not clear why Dr. Gertz insists on the term “nihilism” or precisely how he sees this as Nietzsche’s position.

To be sure, the most recent data from the CDC indicate that chlamydia, gonorrhea, and syphilis are presently at an all-time high; do you think this has nothing to do with the technological mediation of our social relations? Yet, the problem of bringing in Nietzsche’s conception of “nihilism” is that Nietzsche might not see this as a problem at all. On the one hand, we have all heard the story that Nietzsche knew he had syphilis; yet, he supposedly refused to seek treatment, and subsequently died from it.

On the other hand, at times it seems as though the Nietzschean term Dr. Gertz could have used would have been “decadence.” Thus, the problem with technology is that it is motivated by decadence and breeds decadence. Ultimately, the problem is that – despite the nowadays obligatory affirmation of the “non-binary” nature of whatever we happen to be talking about – Dr. Gertz frames his conception in terms of the bifurcation: technophile v. technophobe. Yet, Nietzsche is, of course, a transcendental philosopher, so there are three (not 2) positions. The third position is Amor Fati.

The ‘predominance of suffering over pleasure’ or the opposite (hedonism): these two doctrines are already signposts to nihilism… that is how a kind of man speaks who no longer dares to posit a will, a purpose, a meaning: for any healthier kind of man the value of life is certainly not measured by the standard of these trifles [pleasure and pain]. And suffering might predominate, and in spite of that a powerful will might exist, a Yes to life, a need for this predominance. (Nietzsche, 1968b: p. 23).

In terms of philosophy of technology, if it is our fate to exist in a world torn asunder by technological mediation, well, then, love it (in this wise, even the “Death of God” can be celebrated). And, here would be the place to mention “postmodern irony,” which Dr. Gertz does not consider. In sum, Dr. Gertz’s use of the term “nihilism” is, to say the least, problematic.

Technology’s Disconnect From Nietzsche Himself

Nietzsche infamously never used a typewriter. It was invented during his lifetime, and, as the story goes, he supposedly tried to use the technology but couldn’t get the hang of it, so he went back to writing by hand. This story points to an insight that it seems Dr. Gertz’s book doesn’t consider. For Nietzsche human existence is the point of departure, not technology.

So, the very idea that technological mediation will lead to a better existence (even if “better” only means “more efficient,” as it could in the case of the typewriter), should, according to Nietzsche’s actual logic of “nihilism,” see the desire to use a typewriter as either a symptom of decadence or an expression of strength; however, these options do not manifest in the logic of Gertz’s Nietzsche analysis.

Rather, Dr. Gertz moralizes the use of technology: “Working out which of these perspectives is correct is thus vital for ensuring that technologies are providing us leisure as a form of liberation rather than providing us leisure as a form of dehumanization.” (p. 4). Does the “Who cares?” logic of Gertz’s “nihilism” necessarily lead to an interpretation of Nietzsche as a kind of “Luddite”?

Before moving on to the next part of this review, a few last remarks about how Dr. Gertz uses Nietzsche’s writings are called for. There are nine (9) chapters in Nihilism and Technology. Dr. Gertz primarily uses the first two chapters to speak to the terminology he will use throughout the book. He uses the third chapter to align himself with the academic-cartel, and the remaining chapters are supposed to illustrate his explication of what he calls Nietzsche’s five “human-nihilism relations.” All of these so-called “human-nihilism relations” revolve around discussions which take place only in the “Third Essay” of Nietzsche’s On the Genealogy of Morals – except one foray into The Gay Science.

Two points should be made here. First, Dr. Gertz calls these “nihilism relations,” but they are really just examples of “Slave Mentality.” This should come as no surprise to those familiar with Nietzsche because of where in his writings Dr. Gertz is focused. Moreover, there is not enough space here to fully explain why, but it is problematic to simply replace the term “Slave Mentality” with “nihilism relation.”

Second, among these “nihilism relations” there are two glaring misappropriations of Nietzsche’s writings regarding “pity” and “divinity.” That is, when Dr. Gertz equates “pity sex” (i.e. having “sexual intercourse,” of one kind or another, with someone ostensibly because you “pity” them) with Nietzsche’s famous discussion of pity in On the Genealogy of Morals, it both overlooks Nietzsche’s comments regarding “Master” pity and trivializes the notion of “pity” in Nietzsche.

For, as already noted above, if in your day to day practice of life you remain oriented to the belief that you need an excuse for whatever you do, then you are moralizing. (Remember when we used to think that Nietzsche was “dangerous”?) If you are moralizing, then you’re a nihilist. You’re a nihilist because you believe there is a world that is better than the one that exists. You believe in a world that is nothing. “Conclusion: The faith in the categories of reason is the cause of nihilism. We have measured the value of the world according to categories that refer to a purely fictitious world.” (Nietzsche, 1968b: p. 13).

Lastly, Dr. Gertz notes: “Google stands as proof that humans do not need gods, that humans are capable of fulfilling the role once reserved for the gods.” (p. 199). However, in making that statement he neither accurately speaks of the gods, in general, nor of Nietzsche’s understanding of – for example – Dionysus.

2) The Anti- and Post-Humanist Positions in Philosophy of Technology

In a footnote Dr. Gertz thanks an “anonymous reviewer” for telling him to clarify his position regarding humanism, transhumanism, and posthumanism; however, despite what sounds like his acknowledgement, he does not provide such a clarification. The idea is supposed to be that transhumanism is a kind of humanism, and anti- and post-humanism are philosophies which deny that “human” refers to a “natural category.” It is for this reason that many scholars talk of “two Marxisms.” That is to say, there is the earlier Marxism which takes “human” as a natural category and aims at liberation, and there is the later Marxism which takes “human” to be category constructed by Capital.

It is from this latter idea that the “care for the self” is criticized as something to be sold to “the worker” and to eventually transform the worker’s work into the work of consumption – this secures perpetual demand, as “the worker” is transformed into the “consumer.” Moreover, this is absolutely of central importance in the philosophy of technology. For, from a point of view that is truly post-human, Dr. Gertz’s moralizing-warning that technology may lead to “a form of dehumanization.” (p. 4) is an empty threat.

On the one hand, this fidelity to “human” as a natural category comes from Don Ihde’s “postphenomenology.” For Gertz’s idea of “human-nihilism relations” was developed from Idhe’s “human-technology relations.” (p. 45). Gertz notes, “Ihde turns Heidegger’s analysis of hammering into an exemplar of how to carry out analyses of human-technology relations, analyses which lead Ihde to expand the field of human-technology relations beyond Heidegger’s examples” (p. 49).

However, there are two significant problems here, both of which point back, again, to the lack of clarification regarding post-humanism. First, Heidegger speaks of Dasein and of Being, not of “human.” Similarly, Nietzsche could say, “The will to overcome an affect is ultimately only the will of another affect, or of several other affects.” (Nietzsche, 1989a: §117), or “There is no ‘being’ behind doing … the ‘doer’ is merely a fiction added to the deed – the deed is everything.” (Nietzsche, 1989b: p. 45).

Second, the section of Being & Time from which “postphenomenology” develops its relations of “co-constitution” is “The Worldhood of the World,” not “Being-in-the-World.” In other words, Dasein is not an aspect of “ready-to-hand” hammering, the ready-to-hand is an aspect of Dasein. Thus, “human” may be seen as a “worldly” “present-at-hand” projection of an “in order to.” Again, this is also why Gertz doesn’t characterize Marxism (p. 5) as “two Marxisms,” namely he does not consider the anti- or post-humanist readings of Marx.

Hence, the importance of clarifying the incommensurability between humanism and post-humanism: Gertz’s characterization of technology as nihilistic due to its de-humanizing may turn out to be itself nihilistic in terms of its moralizing (noted in Part I, above) and in terms of its taking the fictional-rational category “human” as more primordial than the (according to Nietzsche) non-discursive sovereign will.

3) His “human-nihilism relations”

Students of the philosophy of technology will find the Chapter 3 discussion of Ihde’s work helpful; going forward, we should inquire regarding Ihde’s four categories – in the context of post-humanism and cybernetics – if they are exhaustive. Moreover, how might each of these categories look from a point of view which takes the fundamental alteration of (human) be-ing by technology to be desirable?

This is a difficult question to navigate because it shifts the context for understanding Gertz’s philic/phobic dichotomy away from “care for the self” and toward a context of “evolutionary selection.” Might public self-awareness, in such a context, influence the evolutionary selection?

So long as one is explicitly taking a stand for humanism, then one could argue that the matrix of human-technology relations are symptoms of decadence. Interestingly, such a stance may make Nihilism and Technology, first and foremost, an ethics book and not a philosophy of technology book. Yet, especially, though perhaps not exclusively, presenting only the humanistic point of view leaves one open to the counter-argument that the “intellectual” and “philosophical” relations to “technology” that allow for such an analysis into these various discursive identities betrays a kind of decadence. It would not be much of a stretch to come to the conclusion that Nietzsche would consider “academics” decadent.

Further, it would also be helpful for philosophy of technology students to consider – from a humanistic point of view – the use of technology to extend human life in light of “human-decadence relations.” Of course, whether or not these relations, in general, lead to nihilism is a separate question. However, the people who profit from the decadence on which these technologies stand will rhetorically-bulwark the implementation of their technological procedures in terms of “saving lives.” Here, Nietzsche was again prophetic, as he explicitly considered a philosophy of “survive at all costs” to be a sign of degeneracy and decay.

Contact details: franklscalambrino@gmail.com

References

Blanchot, Maurice. (1995). The Work of Fire. C. Mandell (Trans.). Stanford, CA: Stanford University Press.

Deleuze, Gilles. (2006). Nietzsche and Philosophy. H. Tomlinson (Trans.). New York: Columbia University.

Heidegger, Martin. (1987). D.F. Krell (Ed.). Nietzsche, Vol. IV: Nihilism. F.A. Capuzzi (Trans.). New York: Harper & Row.

Nietzsche, Friedrich. (1989a). Beyond Good and Evil: Prelude to a Philosophy of the Future. W. Kaufmann (Trans.). New York: Vintage.

_____. (1989b). On the Genealogy of Morals /Ecce Homo. W. Kaufmann (Trans.). New York: Vintage Books.

_____. (1968a). Twilight of the Idols/The Anti-Christ. R.J. Hollingdale (Trans.). Middlesex, England: Penguin Books.

_____. (1968b). The Will to Power. W. Kaufmann and R.J. Hollingdale (Trans.). New York: Vintage Books.

Schaberg, William H. (1995). The Nietzsche Canon: A Publication History and Bibliography. Chicago: University of Chicago Press.

Author Information: William Davis, California Northstate University, William.Davis@csnu.edu.

Davis, William. “Crisis. Reform. Repeat.” Social Epistemology Review and Reply Collective 7, no. 10 (2018): 37-44.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-422

Yale University, in the skyline of New Haven, Connecticut.
Image by Ali Eminov via Flickr / Creative Commons

 

If you have been involved in higher education in recent decades, you have noticed shifts in how courses are conceived and delivered, and what students, teachers, and administrators expect of each other. Also, water feels wet. The latter statement offers as much insight as the first. When authors argue the need for new academic models, indeed that a kind of crisis in United States higher education is occurring, faculty and administrators in higher education are forgiven if we give a yawning reply: not much insight there.

Another Crisis

Those with far more experience in academia than I will, likely, shake their heads and scoff: demands for shifts in educational models and practices seemingly occur every few years. Not long ago, I was part of the SERRC Collective Judgment Forum (2013) debating the notion that Massive Open Online Courses (MOOCs) are the future of higher education. The possibilities and challenges portended by online education would disrupt (“disruptive technologies” often represent the goals not the fears of the California culture where I live and work) the landscape of colleges and universities in the United States and the rest of the world.

Higher education would have to adapt to meet the needs of burgeoning numbers of people (at what point does one become a ‘student?’) seeking knowledge. The system of higher education faced a crisis; the thousands of people enrolling in MOOCs indicated that hordes of students might abandon traditional universities and embrace new styles of learning that matched the demands of twenty-first century life.

Can you count the number of professional crises you have lived through? If the humanities and/or social sciences are your home, then you likely remember quite a few (Kalin, 2017; Mandler, 2015; Tworek, 2013). That number, of course, represents calamity on a local level: crises that affect you, that loom over your future employment. For many academics, MOOCs felt like just such a threat.

Historian of technology Thomas Hughes (1994)[i] describes patterns in the development, change, and emergence of technologies as “technological momentum.” Technological momentum bridges two expansive and nuanced theories of technological development: determinism—the claim that technologies are the crucial drivers of culture—and constructivism—the idea that cultures drive technological change. MOOCs might motivate change in higher education, but the demands of relevant social groups (Pinch and Bijker 1984) would alter MOOCs, too.

Professors ought not fear their jobs would disappear or consolidate so precipitously that the profession itself would be transformed in a few years or decade: the mammoth system of higher education in the U.S. has its own inertia. Change would happen over time; teachers, students, and universities would adapt and exert counter-influences. Water feels wet.

MOOCs have not revolutionized models of higher education in the United States. Behind the eagerness for models of learning that will satisfy increasing numbers of people seeking higher education, of which MOOCs are one example, lies a growing concern about how higher education is organized, practiced, and evaluated. To understand the changes that higher education seems to require, we ought first to understand what it currently offers. Cathy Davidson (2017), as well as Michal Crow and William Dabars (2015), offer such histories of college and university systems in the United States. Their works demonstrate that a crisis in higher education does not approach; it has arrived.

Education in an Age of Flux

I teach at a new college in a university that opened its doors only a decade ago. One might expect that a new college offers boundless opportunity to address a crisis: create a program of study and methods of evaluating that program (including the students and faculty) that will meet the needs of the twenty-first century world. Situated as we are in northern California, and with faculty trained at Research 1 (R1) institutions, our college could draw from various models of traditional higher education like the University of California system or even private institutions (as we are) like Stanford.

These institutions set lofty standards, but do they represent the kinds of institutions that we ought to emulate? Research by Davidson (2017), Crow and Dabars would recommend we not follow the well-worn paths that established universities (those in existence for at least a few decades) in the United States have trodden. The authors seem to adopt the perspective that higher education functions like a system of technology (Hughes 1994); the momentum exerted by such systems has determining effects, but the possibility of directing the course of the systems exists nevertheless.

Michael Crow and William Dabars (2015) propose a design for reshaping U.S. universities that does not require the total abandonment of current models. The impetus for the needed transformation, they claim, is that the foundations of higher education in the U.S. have decayed; universities cannot meet the demands of the era.

The priorities that once drove research institutions have been assiduously copied, like so much assessment based on memorization and regurgitation that teachers of undergraduates might recognize, that their legibility and efficacy have faded. Crow and Dabars target elite, private institutions like Dartmouth and Harvard as exemplars of higher education that cannot, under their current alignment, meet the needs of twenty-first century students. Concerned as they are with egalitarianism, the authors note that public institutions of higher education born from the Morrill Acts of 1862 and 1890 fare no better at providing for the needs of the nation’s people (National Research Council 1995).

Crow and Dabars’s New American University model (2015, pp. 6-8) emphasizes access, discovery, inclusiveness, and functionality. Education ought to be available to all (access and inclusiveness) that seek knowledge and understanding of the world (discovery) in order to operate within, change, and/or improve it (functionality). The Morrill Acts, on a charitable reading, represent the United States of America’s assertion that the country and its people would mutually benefit from public education available to large swaths of the population.

Crow and Dabars, as well as Davidson (2017), base their interventions on an ostensibly similar claim: more people need better access to resources that will foster intellectual development and permit them to lead more productive lives. The nation benefits when individuals have stimulating engagement with ideas through competent instruction.  Individuals benefit because they may pursue their own goals that, in turn, will ideally benefit the nation.

Arizona State University epitomizes the New American University model. ASU enrolls over 70,000 students—many in online programs—and prides itself on the numbers of students it accepts rather than rejects (compare such a stance with Ivy League schools in the U.S.A.). Crow, President of ASU since 2002, has fostered an interdisciplinary approach to higher education at the university. Numerous institutes and centers (well over 50) have been created to focus student learning on issues/topics of present and future concern. For instance, the Decision Center for a Desert City asks students to imagine a future Phoenix, Arizona, with no, or incredibly limited, access to fresh water.

To engage with a topic that impacts manifold aspects of cities and citizens, solutions will require perspectives from work in disciplines ranging from engineering and the physical sciences to the social sciences and the humanities. The traditional colleges of, e.g., Engineering, Law, Arts and Sciences, etc., still exist at ASU. However, the institutes and centers appear as semi-autonomous empires with faculty from multiple disciplines, and often with interdisciplinary training themselves, leading students to investigate causes of and solutions to existing and emerging problems.

ASU aims to educate broad sections of the population, not just those with imposing standardized tests scores and impressive high school GPAs, to tackle obstacles facing our country and our world. Science and Technology Studies, an interdisciplinary program with scholars that Crow and Dabars frequently cite in their text, attracted my interest because its practitioners embrace ‘messy’ problems that require input from, just to name a few, historians, philosophers, political scientists, and sociologists. While a graduate student in STS, I struggled to explain my program of study to others without referencing existing disciplines like philosophy, history, etc. Though I studied in an interdisciplinary program, I still conceptualized education in disciplinary silos.

As ASU graduates more students, and attracts more interdisciplinary scholars as teachers, we ought to observe how their experiment in education impacts the issues and problems their centers and institutes investigate as well as the students themselves. If students learn from interdisciplinary educators, alongside other students that have not be trained exclusively in the theories and practices of, say, the physical sciences or humanities and social sciences, then they might not see difficult challenges like mental illness in the homeless population of major U.S. cities as concerns to be addressed mainly by psychology, pharmacology, and/or sociology.

Cathy Davidson’s The New Education offers specific illustrations of pedagogical practices that mesh well with Crow and Dabars’s message. Both texts urge universities to include larger numbers of students in research and design, particularly students that do not envision themselves in fields like engineering and the physical sciences. Elite, small universities like Duke, where Davidson previously taught, will struggle to scale up to educate the masses of students that seek higher education, even if they desired to do so.

Further, the kinds of students these institutions attract do not represent the majority of people seeking to further their education beyond the high school level. All colleges and universities need not admit every applicant to align with the models presented by Davidson, Crow and Dabars, but they must commit to interdisciplinary approaches. As a scholar with degrees in Science and Technology Studies, I am an eager acolyte: I buy into the interdisciplinary model of education, and I am part of a college that seeks to implement some version of that model.

Questioning the Wisdom of Tradition

We assume that our institutions have been optimally structured and inherently calibrated not only to facilitate the production and diffusion of knowledge but also to seek knowledge with purpose and link useful knowledge with action for the common good. (Crow and Dabars 2015, 179)

The institutions that Crow, Dabars, and Davidson critique as emblematic of traditional models of higher education have histories that range from decades to centuries. As faculty at a college of health sciences established the same year Crow and Dabars published their work, I am both excited by their proposals and frustrated by the attempts to implement them.

My college currently focuses on preparing students for careers in the health sciences, particularly medicine and pharmacy. Most of our faculty are early-career professionals; we come to the college with memories of how departments were organized at our previous institutions.

Because of my background in an interdisciplinary graduate program at Virginia Tech, and my interest in the program’s history (originally organized as the Center for the Study of Science in Society), I had the chance to interview professors that worked to develop the structures that would “facilitate the production and diffusion of knowledge” (Crow and Dabars 2015, 179). Like those early professors at Virginia Tech, our current faculty at California Northstate University College of Health Sciences come from distinct disciplines and have limited experience with the challenges of designing and implementing interdisciplinary coursework. We endeavor to foster collaboration across disciplines, but we learn as we go.

Crow and Dabars’s chapter “Designing Knowledge Enterprises” reminds one of what a new institution lacks: momentum. At meetings spread out over nearly a year, our faculty discussed and debated the nuances of a promotion and retention policy that acknowledges the contributions of all faculty while satisfying administrative demands that faculty titles, like assistant, associate, and full professor, reflect the practices of other institutions. What markers indicate that a scholar has achieved the level of, say, associate professor?

Originally trained in disciplines like biology, chemistry, physics, or English (coming from the interdisciplinary program of Science and Technology Studies, I am a bit of an outlier) our faculty have been disciplined to think in terms of our own areas of study. We have been trained to advance knowledge in increasingly particular specialties. The criteria to determine a faculty member’s level largely matches what other institutions have developed. Although the faculty endeavored to create a holistic rubric for faculty evaluation, we confronted an administration more familiar with analytic rubrics. How can a university committee compare the work done by professors of genetics and composition?[ii]

Without institutional memory to guide us, the policies and directives at my college of health sciences develop through collective deliberation on the needs of our students, staff, faculty, college, and community. We do not invent policy. We examine publicly available policies created at and for other institutions of higher learning to help guide our own decisions and proposals. Though we can glean much from elite private institutions, as described by Crow and Dabars, and from celebrated public institutions like the University of California or California State University systems that Davidson draws upon at times in her text, my colleagues know that we are not like those other institutions and systems of higher education.

Our college’s diminutive size (faculty, staff, and students) lends itself to agility: when a policy is flawed, we can quickly recognize a problem and adjust it (not to say we rectify it, but we move in the direction of doing so, e.g., a promotion policy with criteria appropriate for faculty, and administrators, from any department). If we identify student, staff, faculty, or administrator needs that have gone unaddressed, we modify or add policies.

The size of our college certainly limits what we can do: we lack the faculty and student numbers to engage in as many projects as we like. We do not have access to the financial reservoirs of large or long-standing institutions to purchase all the equipment one finds at a University of California campus, so we must be creative and make use of what materials we do possess or can purchase.

What our college lacks, somewhat counterintuitively, sets us up to carry forth with what Davidson (2017) describes in her chapter “The Future of Learning:”

The lecture is broken, so we must think of better ways to incorporate active learning into the classroom . . . . The traditional professional and apprentice models don’t teach students how to be experts, and so we must look to peer learning and peer mentoring, rich cocurricular experiences, and research to put the student, not the professor or the institution, at the center. (248-9)

Davidson does not contend that lecture has no place in a classroom. She champion flipped classrooms (Armbruster, Patel, Johnson, and Weiss 2009) and learning spaces that emphasize active student engagement (Elby 2001; Johnson and Johnson 1999) with ideas and concepts—e.g., forming and critiquing arguments (Kuhn 2010).

Claiming that universities “must prepare our students for their epic journey . . . . should give them agency . . . to push back [against the world] and not merely adapt to it” (Davidson 2017, 13) sounds simultaneously like fodder for a press-release and a call to action. It will likely strike educators, a particular audience of Davidson’s text, as obvious, but that should not detract from its intentions. Yes, students need to learn to adapt and be flexible—their chosen professions will almost certainly transform in the coming decades. College students ought to consider the kinds of lives they want to live and the people they want to be, not just the kinds of professions they wish to pursue.

Ought we demonstrate for students that the university symbolizes a locale to cultivate a perspective of “sympathy, empathy, sensitivity, and responsiveness” (Held 2011, p. 479)? Do we see ourselves in a symbiotic world (Margulis and Sagan) or an adversarial world of competition? Davidson, Crow, and Dabars propose a narrative of connectivity, not just of academic disciplines, but of everyday problems and concerns. Professors ought to continue advancing knowledge, even in particular disciplines, but we must not imagine that we do it alone (individually, in teams, in disciplines, or even in institutions).

After Sifting: What to Keep

Crow and Dabars emphasize the interplay between form and function as integral to developing a model for the New American University. We at California Northstate also scrutinize the structure of our colleges. Though our college of health sciences has a life and physical science department, and a department of humanities and social sciences, our full-time faculty number less than twenty. We are on college and university committees together; we are, daily, visible to each other.

With varying levels of success so far, we have developed integrated course-based undergraduate research experiences for our students. In the coming year, we aim to integrate projects in humanities and social sciences courses with those from the physical sciences. Most of our students want to be health practitioners, and we endeavor to demonstrate to them the usefulness of chemistry along with service learning. As we integrate our courses, research, and outreach projects, we aim to provide students with an understanding that the pieces (courses) that make up their education unify through our work and their own.

Team teaching a research methods course with professors of genetics and chemistry in the fall of 2017, I witnessed the rigor and the creativity required for life and physical science research. Students were often confused: the teachers approached the same topics from seemingly disparate perspectives. As my PhD advisor, James Collier, often recounted to me regarding his graduate education in Science and Technology Studies (STS), graduate students were often expected to be the sites of synthesis. Professors came from traditional departments like history, philosophy, and sociology; students in STS needed to absorb the styles and techniques of various disciplines to emerge as interdisciplinarians.

Our students in the research methods class that fall saw a biologist, a chemist, and an STS scholar and likely thought: I want to be none of those things. Why should I learn how to be a health practitioner from professors that do not identify as health practitioners themselves?

When faculty adapt to meet the needs of students pursuing higher education, we often develop the kinds of creole languages elaborated by Peter Galison (1997) to help our students see the connections between traditionally distinct areas of study. Our students, then, should be educated to speak in multiple registers depending on their audience, and we must model that for them. Hailing from disparate disciplines and attempting to teach in ways distinct from how we were taught (e.g., flipped classrooms) and from perspectives still maturing (interdisciplinarity), university faculty have much to learn.

Our institutions, too, need to adapt: traditional distinctions of teaching, scholarship, and service (the hallmarks of many university promotion policies) will demand adjustment if they are to serve as accurate markers of the work we perform. Students, as stakeholders in their own education, should observe faculty as we struggle to become what we wish to see from them. Davidson, Crow, and Dabars argue that current and future crises will not be resolved effectively by approaches that imagine problems as solely technical, social, economic, cultural, or political. For institutions of higher education to serve the needs of their people, nations, and environments (just some of the pieces that must be served), they must acclimate to a world of increasing connectivity. I know: water feels wet.

Contact details: William.Davis@csnu.edu

References

Armbruster, Peter, Maya Patel, Erika Johnson, and Martha Weiss. 2009. “Active Learning and Student-centered Pedagogy Improve Student Attitudes and Performance in Introductory Biology” Cell Biology Education—Life Sciences Education 8: 203-13.

Bijker, Wiebe. 1993. “Do Not Dispair: There Is Life after Constructivism.” Science, Technology and Human Values 18: 113-38.

Crow, Michael; and William Dabars. Designing the New University. Johns Hopkinds University Press, 2015.

Davidson, Cathy. The New Education: How to Revolutionize the University to Prepare Students for a World in Flux. Basic Books, 2017.

Davis, William, Martin Evenden, Gregory Sandstrom and Aliaksandr Puptsau. 2013. “Are MOOCs the Future of Higher Education? A Collective Judgment Forum.” Social Epistemology Review and Reply Collective 2 (7) 23-27.

Elby, Andrew. 2001. “Helping Physics Students Learn How to Learn.” American Journal of Physics (Physics Education Research Supplement) 69 (S1): S54-S64.

Galison, Peter. 1997. Image and Logic: A Material Culture of Microphysics. Chicago, IL: The University of Chicago Press.

Hughes, Thomas. 1994. “The Evolution of Large Technical Systems.” The Social Construction of Technological Systems: New Directions in the Sociology and History of Technology. Cambridge, MA: MIT Press.

Johnson, David, and Roger T. Johnson. 1999. “Making Cooperative Learning Work.” Theory into Practice 38 (2): 67-73.

Kalin, Mike. “The Crisis in the Humanities: A Self-Inflicted Wound?” Independent School, Winter 2017. https://www.nais.org/magazine/independent-school/winter-2017/the-crisis-in-the-humanities-a-self-inflicted-wou/

Kuhn, Deanna. 2010. “Teaching and Learning Science as Argument.” Science Education 94 (5): 810-24.

Mandler, Peter. “Rise of the Humanities.” Aeon Magazine, December 17, 2015. https://aeon.co/essays/the-humanities-are-booming-only-the-professors-can-t-see-it

National Research Council. Colleges of Agriculture at the Land Grant Universities: A Profile. Washington, D.C.: National Academy Press, 1995.

Pinch, Trevor and Wiebe Bijker. 1984. “The Social Construction of Facts and Artifacts: Or How the Sociology of Science and the Sociology of Technology Might Benefit Each Other.” Social Studies of Science 14: 399-441.

Smith, Merritt, and Leo Marx. 1994. Does Technology Drive History? The Dilemma of Technological Determinism

Tworek, Heidi. “The Real Reason the Humanities Are ‘in Crisis.’” The Atlantic, December 18, 2013. https://www.theatlantic.com/education/archive/2013/12/the-real-reason-the-humanities-are-in-crisis/282441/

[i] My descriptions here of technological determinism and social constructivism lack nuance. For specifics regarding determinism, see the 1994 anthology from Leo Marx and Merritt Smith, Does Technology Drive History. For richer explanations of constructivism, see Bijker (1993), “Do not despair: There is life after constructivism,” and Pinch and Bijker (1984) “The social construction of facts and artifacts: Or how the sociology of science and the sociology of technology might benefit each other.”

[ii] Hardly rhetorical, that last question is live on my campus. If you have suggestions, please write me.

Author Information: Jim Collier, Virginia Tech, jim.collier@vt.edu.

Collier, James H. “Social Epistemology for the One and the Many: An Essay Review.” Social Epistemology Review and Reply Collective 7, no. 8 (2018): 15-40.

Jim Collier’s article “Social Epistemology for the One and the Many” will be published in four parts. The pdf of the article includes all four parts as a single essay, and gives specific page references. Shortlinks:

Introduction: https://wp.me/p1Bfg0-3ZN

Part One, Social Epistemology as Fullerism: https://wp.me/p1Bfg0-3ZY

Part Two, Impoverishing Critical Engagement: https://wp.me/p1Bfg0-402

Part Three, We’re All Californians Now: https://wp.me/p1Bfg0-3ZR

Fuller’s recent work has explored the nature of technological utopia.
Image by der bobbel via Flickr / Creative Commons

 

Third, Remedios and Dusek submit to a form of strict technological determinism as promulgated in the Californian ideology (Barbrook and Cameron 1996), packaged by Ray Kurzweil, and amplified by Fuller in his “trilogy on transhumanism” (vii). Such determinism leaves unexamined the questionable, if not ridiculous, claims made on behalf of transhumanism, generally, and in Fuller’s “own promethean project of transhumanism” (99).

Of Technological Ontology

Missing in the list delineating Fuller’s “extensive familiarity” (10) with an unbelievable array of academic fields and literatures are the history and the philosophy of technology. (As history, philosophy, and “many other fields” make the list, perhaps I am being nitpicky.) Still, I want to highlight, by way of contrast, what I take as a significant oversight in Remedios and Dusek’s account of Fullerism—a refined conception of technology; hence, a capitulation to technological determinism.

Remedios and Dusek do not mention technological determinism. Genetic determinism (69) and Darwinian determinism (75, 77-78) receive brief attention. A glossary entry for “determinism” (143) focuses on Pierre-Simon Laplace’s work. However, the strict technological determinism on which Fullerism stands goes unmentioned. With great assuredness, Remedios and Dusek repeat Ray Kurzweil’s Singularity mantra, with a Fullerian inflection, that: “converging technologies, such as biotechnology, nanotechnology, and computer technology, are transforming and enhancing humanity to humanity 2.0” (33).[1] Kurzweil’s proclamations, and Fuller’s conceptual piggybacking, go absent scrutiny. Unequivocally, a day will come in 2045 when humans—some humans at least—“will be transformed through technology to humanity 2.0, into beings that are Godlike” (94).

The “hard determinism” associated with Jacques Ellul in The Technological Society (1964), and, I argue, with Fuller as relayed by Remedios and Dusek, holds that technology acts as an uncontrollable force independent from social authority. Social organization and action derive from technological effects. Humans have no freedom in choosing the outcome of technological development—technology functions autonomously.

Depending on the relative “hardness” of the technological determinism on offer we can explain social epistemology, for example, as a system of thought existing for little reason other than aiding a technological end (like achieving humanity 2.0). Specifically, Fuller’s social and academic policies exist to assure a transhuman future. A brief example:

How does the university’s interdisciplinarity linked [sic] to transhumanism? Kurzweil claims that human mind and capacities can be uploaded into computers with increase in computing power [sic]. The problem is integration of those capacities and personal identity. Kurzweil’s Singularity University has not been able to address the problem of integration. Fuller proposes transhumanities promoted by university 2.0 for integration by the transhumanist. (51)

As I understand the passage, universities should develop a new interdisciplinary curriculum, (cheekily named the transhumanities) given the forthcoming technological ability to upload human minds to computers. Since the uploading process will occur, we face a problem regarding personal identity (seemingly, how we define or conceive personal identity as uploaded minds). The new curriculum, in a new university system, will speak to issues unresolved by Singularity University—a private think tank and business incubator.[2]

I am unsure how to judge adequately such reasoning, particularly in light of Remedios and Dusek’s definition of agent-oriented epistemology and suspicion of expertise. Ray Kurzweil, in the above passage and throughout the book, gets treated unreservedly as an expert. Moreover, Remedios and Dusek advertise Singularity University as a legitimate institution of higher learning—absent the requisite critical attitude toward the division of intellectual labor (48, 51).[3] Forgiving Remedios and Dusek for the all too human (1.0) sin of inconsistency, we confront the matter of how to get at their discussion of interdisciplinarity and transhumanism.

Utopia in Technology

Remedios and Dusek proceed by evaluating university curricula based on a technologically determined outcome. The problem of individual identity, given that human minds will be uploaded into computers, gets posed as a serious intellectual matter demanding a response from the contemporary academy. Moreover, the proposed transhumanities curriculum gets saddled with deploying outmoded initiatives, like interdisciplinarity, to render new human capacities with customary ideas of personal identity.

University 2.0, then, imagines inquiry into human divinity within a retrograde conceptual framework. This reactive posture results from the ease in accepting what must be. A tributary that leads back to this blithe acceptance of the future comes in the techno-utopianism of the Californian ideology.

The Californian ideology (Barbrook and Cameron 1996) took shape as digital networking technologies developed in Silicon Valley spread throughout the country and the world. Put baldly, the Californian ideology held that digital technologies would be our political liberators; thus, individuals would control their destinies. The emphasis on romantic individualism, and the quest for unifying knowledge, shares great affinity with the tenor of agent-oriented epistemology.

The Californian ideology fuses together numerous elements—entrepreneurialism, libertarianism, individualism, techno-utopianism, technological determinism—into a more or less coherent belief system. The eclecticism of the ideology—the dynamic, dialectical blend of left and right politics, well-heeled supporters, triumphalism, and cultishness—conjures a siren’s call for philosophical relevance hunting, intervention, and mimicry.

I find an interesting parallel in the impulse toward disembodiment by Kurzweil and Fuller, and expressed in John Perry Barlow’s “A Declaration of the Independence of Cyberspace” (1996). Barlow waxes lyrically: “Our identities have no bodies, so, unlike you, we cannot obtain order by physical coercion. We believe that from ethics, enlightened self-interest, and the commonweal, our governance will emerge.”

The demigod Prometheus makes appearances throughout Knowing Humanity in the Social World. Remedios and Dusek have Fuller play the rebel trickster and creator. Fuller’s own transhumanist project creates arguments, policies, and philosophical succor that advocate humanity’s desire to ascend to godhood (7, 67). In addition, Fuller’s Promethean task possesses affinities with Russian cosmism (97-99), a project exploring human enhancement, longevity (cryonics), and space travel.[4] Fuller’s efforts result in more or less direct, and grandiose, charges of Gnosticism. Gnosticism, a tangled doctrine, can refer to the Christian heresy of seeking secret knowledge that, in direct association with the divine, allows one to escape the fetters of our lesser material world.

Gnostic Minds

Befitting a trickster, Fuller both accepts and rejects the charge of Gnosticism (102), the adjudication of which seems particularly irrelevant in the determinist framework of transhumanism. A related and distressing sense of pretense pervades Remedios and Dusek’s summary of Gnosticism, and scholastic presentation of such charges against Fuller. Remedios and Dusek do more than hint that such disputations involving Fuller have world historic consequences.

Imitating many futurists, Fuller repeats that “we are entering a new historical phase” (xi) in which our understanding of being human, of being an embodied human particularly, shifts how we perceive protections, benefits, and harms to our existence. This common futurist refrain, wedded to a commonsense observation, becomes transmogrified by the mention of gnosis (and the use of scare quotes):

The more we relativize the material conditions under which a “human” existence can occur, the more we shall also have to relativize our sense of what counts as benefits and harms to that existence. In this respect, Gnosticism is gradually being incorporated into our natural attitude toward the secular world. (xi)

Maybe. More likely, and less heroically, humans regularly reconsider who they are and determine what helps or hurts them absent mystical knowledge in consultation with the divine. As with many of Fuller’s broader claims, and iterations of such claims presented by Remedios and Dusek, I am uncertain how to judge the contention about the rise of Gnosticism as part of being in the world. Such a claim comes across as unsupported, certainly, and self-serving given the argument at hand.

The discussion of Gnosticism raises broader issues of how to understand the place, scope and meaningfulness of the contestations and provocations in which Fuller participates. Remedios and Dusek relay a sense that Fuller’s activities shape important social debates—Kitzmiller being a central example.[5] Still, one might have difficulty locating the playing field where Gnosticism influences general attitudes to matters either profane or sacred. How, too, ought we entertain Fuller’s statements that “Darwinism erodes the motivations of science itself” or “Darwin may not be a true scientist” (71)?

At best, these statements seem merely provocative; at worst, alarmingly incoherent. At first, Remedios and Dusek adjudicate these claims by reminding the reader of Fuller’s “sweeping historical and philosophical account” and “more sophisticated and historically informed version” (71) of creationism. Even when Fuller’s wrong, he’s right.

In this case, we need only accept the ever-widening parameters of Fuller’s historical and philosophical learning, and suspend judgment given the unresolved lessons of his ceaseless dialectic. Remedios and Dusek repeatedly make an appeal to authority (argumentum ad verecundiam) and, in turn, set social epistemology on a decidedly anti-intellectual footing. In part, such footing and uncritical attitude seems necessary to entertain Fuller’s “own promethean project of transhumanism” (99).

Transhuman Dialectic

Fuller’s Promethean efforts aside, transhumanism strives to maintain the social order in the service of power and money. A guiding assumption in the desire to transcend human evolution and embodiment involves who wins, come some form of end time (or “event”), and gets to take their profits with them. Douglas Rushkoff (2018) puts the matter this way:

It’s a reduction of human evolution to a video game that someone wins by finding the escape hatch and then letting a few of his BFFs come along for the ride. Will it be Musk, Bezos, Thiel…Zuckerberg? These billionaires are the presumptive winners of the digital economy — the same survival-of-the-fittest business landscape that’s fueling most of this speculation to begin with.[6] (https://bit.ly/2MRgeIw)

Fuller’s staging of endless dialectic—his ceaseless provocations (and attendant insincerity), his flamboyant exercises in rehabilitating distasteful and dangerous ideas—drives him to distraction. We need look no further than his misjudgment of transhumanism’s sociality. The contemporary origins of the desire to transcend humanity do not reside with longing to know the mind of god. Those origins reside with Silicon Valley neoliberalism and the rather more profane wish to keep power in heaven as it is on earth.

Fuller’s transhumanism resides with the same type of technological determinism as other transhumanist dialects and Kuzweil’s Singularity. A convergence, in some form, of computers, genetics, nanotechnology, robotics and artificial intelligence leads inevitably to artificial superintelligence. Transhumanism depends on this convergence. Moore’s Law, and Kurzweil’s Law of Accelerating Returns, will out.

This hard determinism renders practically meaningless—aside from fussiness, a slavish devotion to academic productivity, or perverse curiosity—the need for proactionary principles, preparations for human enhancement or alternative forms of existence, or the vindication of divine goodness. Since superintelligence lies on the horizon, what purpose can relitigating the history of eugenics, or enabling human experimentation, serve? [7] Epistemic agents can put aside their agency. Kurzweil asserts that skepticism and caution now threaten “society’s interests” (Pein 2017, 246). Remedios and Dusek portray Fuller as having the same disturbing attitude.

At the end of Knowing Humanity in the Social World, comes a flicker of challenge:

Fuller is totally uncritical about the similarly of utopian technologists’ and corporate leaders’ positions on artificial intelligence, synthetic biology, and space travel. He assumes computers can replace human investigators and allow the uploading of human thought and personality. However, he never discusses and replies to the technical and philosophical literature that claims there are limits to what is claimed can be achieved toward strong artificial intelligence, or with genetic engineering. (124)

A more well-drawn, critical epistemic agent would begin with normative ‘why’ and ‘how’ questions regarding Fuller’s blind spot and our present understanding of social epistemology.  Inattention to technological utopianism and determinism does not strike me as a sufficient explanation—although the gravity of fashioning such grand futurism remains strong—for Fuller’s approach. Of course, the “blind spot” to which I point may be nothing of the sort. We should, then, move out of the way and pacify ourselves by constructing neo-Kantian worlds, while our technological and corporate betters make space for the select to occupy.

The idea of unification, of the ability of the epistemic agent to unify knowledge in terms of their “worldview and purposes,” threads throughout Remedios and Dusek’s book. Based on the book, I cannot resolve social epistemology pre- and post- the year 2000. Agent-oriented epistemology assumes yet another form of determinism. Remedios and Dusek look more than two centuries into our past to locate a philosophical language to speak to our future. Additionally, Remedios and Dusek render social epistemology passive and reliant on the Californian political order. If epistemic unification appears only at the dawn of a technologically determined future, we are automatons—no longer human.

Conclusion

Allow me to return to the question that Remedios and Dusek propose as central to Fuller’s metaphysically-oriented, post-2000, work: “What type of being should the knower be” (2)? Another direct (and undoubtedly simplistic) answer—enhanced. Knowers should be technologically enhanced types of beings. The kinds of enhancements on which Remedios and Dusek focus come with the convergence of biotechnology, nanotechnology, and computer technology and, so, humanity 2.0.

Humanity 2.0’s sustaining premise begins with yet another verse in the well-worn siren song of the new change, of accelerating change, of inevitable change. It is the call of Silicon Valley hucksters like Ray Kurzweil.[8] One cannot deny that technological change occurs. Still, a more sophisticated theory of technological change, and the reciprocal relation between technology and agency, seems in order. Remedios and Dusek and Fuller’s hard technological determinism cries out for reductionism. If a technological convergence occurs and super-intelligent computers arise what purpose, then, in preparing by using humanity 1.0 tools and concepts?

Why would this convergence, and our subsequent disembodied state, not also dictate, or anticipate, even revised ethical categories (ethics 2.0, 109), government programs (welfare state 2.0, 110), and academic institutions (university 2.0, 122)? Such “2.0 thinking,” captive to determinism, would be quaint if not for very real horrors of endorsing eugenics and human experimentation. The unshakeable assuredness of the technological determinism at the heart Fuller’s work denies the consequences, if not the risk itself, for the risks epistemic agents “must” take.

In 1988, Steve Fuller asked a different question: How should we organize and pursue knowledge collectively? [9] This question assumes that human beings have cognitive limitations, limitations that might be ameliorated by humans acting in helpful concert to change society and ourselves. As a starting point, befitting the 1980’s, Fuller sought answers in “knowledge bearing texts” and an expansive notion of textual technologies and processes. This line of inquiry remains vital. But neither the question, nor social epistemology, belongs solely to Steve Fuller.

Let me return to an additional question. “Is Fuller the super-agent?” (131). In the opening of this essay, I took Remedios’s question as calling back to hyperbole about Fuller in the book’s opening. Fuller does not answer the question directly, but Knowing Humanity in the Social World does—yes, Steve Fuller is the super-agent. While Remedios and Dusek do not yet attribute godlike qualities to Fuller, agent-oriented epistemology is surely created in his image—an image formed, if not anticipated, by academic charisma and bureaucratic rationality.

As the dominant voice and vita in the branch of social epistemology of Remedios and Dusek’s concern, Fuller will likely continue to set the agenda. Still, we might harken back to the more grounded perspective of Jesse Shera (1970) who helped coin the term social epistemology. Shera defines social epistemology as:

The study of knowledge in society. It should provide a framework for the investigation of the entire complex problem of the nature of the intellectual process in society; the study of the ways in which society as a whole achieves a perceptive relation to its total environment. It should lift the study of the intellectual life from that of scrutiny of the individual to an enquiry into the means by which a society, nation, of culture achieve an understanding of stimuli which act upon it … a new synthesis of the interaction between knowledge and social activity, or, if you prefer, social dynamics. (86)

Shera asks a great deal of social epistemology. It is good work for us now. We need not await future gods.

An Editorial Note

Palgrave Macmillian do the text no favors. We too easily live with our complicity—publishing houses, editors, universities, and scholars alike—to think of scholarship only as output—the more, the faster, the better. This material and social environment influences our notions of social epistemology and epistemic agency in significant ways addressed indirectly in this essay. For Remedios and Dusek, the rush to press means that infelicitous phrasing and cosmetic errors run throughout the text. The interview between Remedios and Fuller needs another editorial pass. Finally, the book did not integrate the voices of its co-authors.

Contact details: jim.collier@vt.edu

References

Barbrook, Richard and Andy Cameron. “The Californian Ideology.” Science as Culture 6, no. 1 (1996): 44-72.

Barlow, John Perry. “A Declaration of the Independence of Cyberspace.” 1996. https://bit.ly/1KavIVC.

Barron, Colin. “A Strong Distinction Between Humans and Non-humans Is No Longer Required for Research Purposes: A Debate Between Bruno Latour and Steve Fuller.” History of the Human Sciences 16, no. 2 (2003): 77–99.

Clark, William. Academic Charisma and the Origins of the Research University. University of Chicago Press, 2007.

Ellul, Jacques. The Technological Society. Alfred A. Knopf, 1964.

Frankfurt, Harry G. On Bullshit. Princeton University Press, 2005.

Fuller, Steve. Social Epistemology. Bloomington and Indianapolis, University of Indiana Press, 1988.

Fuller, Steve. Philosophy, Rhetoric, and the End of Knowledge: The Coming of Science and Technology Studies. Madison, WI: University of Wisconsin Press, 1993.

Fuller, Steve. Thomas Kuhn: A Philosophical History for Our Times. Chicago: University of Chicago Press, 2001.

Fuller, Steve. “The Normative Turn: Counterfactuals and a Philosophical Historiography of Science.” Isis 99, no. 3 (September 2008): 576-584.

Fuller, Steve. “A Response to Michael Crow.” Social Epistemology Review and Reply Collective 25 November 2015. https://goo.gl/WwxFmW.

Fuller, Steve and Luke Robert Mason. “Virtual Futures Podcast #3: Transhumanism and Risk, with Professor Steve Fuller.”  Virtual Futures 16 August 2017. https://bit.ly/2mE8vCs.

Grafton, Anthony. “The Nutty Professors: The History of Academic Charisma.” The New Yorker October 26, 2006. https://bit.ly/2mxOs8Q.

Hinchman, Edward S. “Review of “Patrick J. Reider (ed.), Social Epistemology and Epistemic Agency: Decentralizing Epistemic Agency.” Notre Dame Philosophical Reviews 2 July 2018. https://ntrda.me/2NzvPgt.

Horgan, John. “Steve Fuller and the Value of Intellectual Provocation.” Scientific American, Cross-Check 27 March 2015.  https://bit.ly/2f1UI5l.

Horner, Christine. “Humanity 2.0: The Unstoppability of Singularity.” Huffpost 8 June 2017. https://bit.ly/2zTXdn6.

Joosse, Paul.“Becoming a God: Max Weber and the Social Construction of Charisma.” Journal of Classical Sociology 14, no. 3 (2014): 266–283.

Kurzweil, Ray. “The Virtual Book Revisited.”  The Library Journal 1 February 1, 1993. https://bit.ly/2AySoQx.

Kurzweil, Ray. The Singularity Is Near: When Humans Transcend Biology. Penguin Books, 2005.

Lynch, Michael. “From Ruse to Farce.” Social Studies of Science 36, vol 6 (2006): 819–826.

Lynch, William T. “Social Epistemology Transformed: Steve Fuller’s Account of Knowledge as a Divine Spark for Human Domination.” Symposion 3, vol. 2 (2016): 191-205.

McShane, Sveta and Jason Dorrier. “Ray Kurzweil Predicts Three Technologies Will Define Our Future.” Singularity Hub 19 April 2016. https://bit.ly/2MaQRl4.

Pein, Corey. Live Work Work Work Die: A Journey into the Savage Heart of Silicon Valley. Henry Holt and Co. Kindle Edition, 2017.

Remedios, Francis. Legitimizing Scientific Knowledge: An Introduction to Steve Fuller’s Social Epistemology. Lexington Books, 2003.

Remedios, Francis X. and Val Dusek. Knowing Humanity in the Social World: The Path of Steve Fuller’s Social Epistemology. Palgrave Macmillan UK, 2018.

Rushkoff, Douglas. “Survival of the Richest: The wealthy are plotting to leave us behind.” Medium 5 July 2018. https://bit.ly/2MRgeIw.

Shera, J.H. Sociological Foundations of Librarianship. New York: Asia Publishing House, 1970.

Simonite, Tom. “Moore’s Law Is Dead. Now What?” MIT Technology Review 13 May 13, 2016. https://bit.ly/1VVn5CK.

Talbot, Margaret. “Darwin in the Dock.” The New Yorker December 5, 2005. 66-77. https://bit.ly/2LV0IPa.

Uebel, Thomas. Review of “Francis Remedios, Legitimizing Scientific Knowledge: An Introduction to Steve Fuller’s Social Epistemology. Notre Dame Philosophical Reviews 3 March 2005. https://ntrda.me/2uT2u92

Weber, Max. Economy and Society, 2 vols. Edited by Guenther Roth and Claus Wittich. Berkeley, CA; London; Los Angeles, CA: University of California Press, 1922 (1978).

[1] “Ray Kurzweil, Google’s Director of Engineering, is a well-known futurist with a high-hitting track record for accurate predictions. Of his 147 predictions since the 1990s, Kurzweil claims an 86 percent accuracy rate. At the SXSW Conference in Austin, Texas, Kurzweil made yet another prediction: the technological singularity will happen sometime in the next 30 years” (https://bit.ly/2n8oMkM). I must admit to a prevailing doubt (what are the criteria?) regarding Kurzweil’s “86 percent accuracy rate.” I further admit that the specificity of number itself—86—seems like the kind of exact detail to which liars resort.

[2] Corey Pein (2017, 260-261) notes: “It was eerie how closely the transhuman vision promoted by Singularity University resembled the eugenicist vision that had emerged from Stanford a century before. The basic arguments had scarcely changed. In The Singularity Is Near, SU chancellor Kurzweil decried the ‘fundamentalist humanism’ that informs restriction on the genetic engineering of human fetuses.”

[3] Pein (2017, 200-201) observes: “… I saw a vast parking lot ringed by concrete barriers and fencing topped with barbed wire. This was part of the federal complex that housed the NASA Ames Research Center and a strange little outfit called Singularity University, which was not really a university but more like a dweeby doomsday congregation sponsored by some of the biggest names in finance and tech, including Google. The Singularity—a theoretical point in the future when computational power will absorb all life, energy, and matter into a single, all-powerful universal consciousness—is the closest thing Silicon Valley has to an official religion, and it is embraced wholeheartedly by many leaders of the tech industry.”

[4] Remedios and Dusek claim: “Cosmist ideas, advocates, and projects have continued in contemporary Russia” (98), but do little to allay the reader’s skepticism that Cosmism has little current standing and influence.

[5] In December 2006, Michael Lynch offered this post-mortem on Fuller’s participation in Kitzmiller: “It remains to be seen how much controversy Fuller’s testimony will generate among his academic colleagues. The defendants lost their case, and gathering from the judge’s ruling, they lost resoundingly … Fuller’s testimony apparently left the plaintiff’s arguments unscathed; indeed, Judge John E. Jones III almost turned Fuller into a witness for the plaintiffs by repeatedly quoting statements from his testimony that seemed to support the adversary case … Some of the more notable press accounts of the trial also treated Fuller’s testimony as a farcical sideshow to the main event [Lynch references Talbot, see above footnote 20] … Though some of us in science studies may hope that this episode will be forgotten before it motivates our detractors to renew the hostility and ridicule directed our way during the ‘science wars’ of the 1990s … in my view it raises serious issues that are worthy of sustained attention” (820).

[6] Fuller’s bet appears to be Peter Thiel.

[7] Remedios and Dusek explain: “The provocative Fuller defends eugenics and thinks it should not be rejected though stigmatized because of its application by the Nazis” (emphasis mine, 116-117). While adding later in the paragraph “… if the [Nazi] experiments really do contribute to scientific knowledge, the ethical and utilitarian issues remain” (117), Remedios and Dusek ignore the ethical issues to which they gesture. Tellingly, Remedios and Dusek toggle back to a mitigating stance in describing “Cruel experiments that did have eventual medical payoff were those concerning the testing of artificial blood plasmas on prisoners of war during WWII …” (117).

[8] “Ray Kurzweil is a genius. One of the greatest hucksters of the age …” (PZ Myers as quoted in Pein 2017, 245). From Kurzweil (1993): “One of the advantages of being in the futurism business is that by the time your readers are able to find fault with your forecasts, it is too late for them to ask for their money back.”

[9]  I abridged Fuller’s (1988, 3) fundamental question: “How should the pursuit of knowledge be organized, given that under normal circumstances knowledge is pursued by many human beings, each working on a more or less well-defined body of knowledge and each equipped with roughly the same imperfect cognitive capacities, albeit with varying degree of access to one another’s activities?”