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The Encoding

“Last Prefect Qa’a, we believe a solution is at hand,” breathed Imuthes.

A sigh of either resignation or relief from Qa’a and then “We have time, but now would be a fine moment for a solution. For so long our solutions have been about survival, this last one,” a pause, “our rebirth.”

There were people still alive that remembered the light of Tabby falling on Hoth. Today, the Array transformed gamma rays from Sekhmet, a stellar mass black hole, to bathe the planet with visibility, yet strikingly different light from what they remember from Tabby. Qa’a was the one that demanded the addition of Last to his honorific. Many others had followed suit and added Last to their names. He mused it really wasn’t necessary, as living on Hoth at this moment meant you always knew you were the last. Last man of the family Narmer. Last of the Engineers of the Array. Last lover of Neith.

Imuthes floated alongside his beloved Prefect. Old beyond any body, the Great Engineer of the Encoding was mostly augmented except for his brain. That brain had taken on the challenges of the Last Save and the Recovery. One failed, and one, so far, had not. As they moved, Imuthes reflected on the loss of Tabby. Sekhmet appeared seemingly out of nowhere. The rogue black hole was on the perfect trajectory to eject Tabby and capture Hoth. When they first discovered Sekhmet, it did not take long to discover that Tabby would be ejected. All of the people of Hoth were notified at the same time they were told of the plan for the Last Save.

The Last Save was the finale of a series of attempts to keep Hoth in orbit around Tabby. The energy needed was so great, Imuthes despaired many times. Finally, he came up with the Array. He looked up to see the rapidly fading star, knowing that in just a few years, the increasing distance would make Tabby invisible to the unaided eye. The purpose of the array was to provide Hoth with the energy needed to maintain its orbit around Tabby as it was ejected from the local cluster. After years of construction and innumerable calculations, Imuthes realized that no array could keep Hoth with Tabby. The array could; however, keep Hoth in a thousand year decaying orbit around the despised Sekhmet.

If it were not for the Recovery, Hoth would be rubble slowly winding into the maw of Sekhmet. The Array was the great invention of his people. It saved the plant from annihilation. As the dark interloper Sekhmet drew near, Imuthes used the Array to provide the delta in Hoth’s velocity to match the evil black hole’s orbit requirements. With their orbit stabilized, the Array was repurposed to convert Sekhmet’s X-rays into all manner of energies for Hoth. Now, however, saving Hoth was out of the question. What they needed was a plan for rebirth of their civilization. The Encoding.

The Prefect asked the current rigor of testing for the solution. “We are in the 314th iteration of the simulation, my Lord Prefect,” stated Imuthes. “The last 100 iterations have used some new concepts I would like to discuss now. There is great care to ensure that the Encoding explores our question, can we be rescued from inside the back hole, while at the same time, at some point, understanding its purpose. The bias to ensure that upon understanding its purpose, the iteration still explores our question is what has stymied us until now.

Just imagine, a society learns that all they are is a simulation instantiated by a dying people to rescue them from a black hole. Why would they continue their discovery, their science? What tool can we insert into the Encoding final iteration to bias the understanding fork to take the still true path?”


Mark was in trouble. His last paper had sent Professor Tegmax into one of his spittle rants. As a poor footballer in his youth, Mark had watched a small bit of spittle slowly freeze on his coach’s nose during a similar rant. Now, as Professor Tegmax emphasized the truism of science not being funny, fragments of spittle launched from the event horizon of his lips. Less a spray than a ejecta, the bits-o-spit mostly followed the same trajectory toward Mark with some wildly arcing off in the direction of the great window spittle attractor.

Mark was not listening. His mind wandered to the paper he wrote in college. The creative writing assignment was one of metamorphosis. Kafka had been consumed, and now it was Mark’s turn at writing a classic. The metamorphosis of food to feces was probably never anticipated by the professor, let alone Kafka, but the line including “individual feces pieces” was a hit in class.

“Mark, Mark, you are jeopardizing your credibility, not to mention your career,” moistly aired Professor Tegmax. “I was willing to support your research into mathematics as reality, but this ludicrous language [the professor doing the silly air quote finger thing] is Einstein’s observer is just, well stupid. Occam would scream. Reality arises from language?”

“Sir, Kaufman, Strogatz, and Lereto’s work in adjacent realities was the key. They showed how true innovation was equal to personal discovery. The mathematics of a person discovering a new song was equivalent to Curie’s discovery of radiation. If as it appears increasingly likely, that there is another external physical reality, then how does our reality present itself? How do we discover [Mark purposely doing the same air quote finger thing] reality?

“But Mark, language is what locks in reality? Please, sir.”

“Whatever is in my head, not communicated, is real only to me. As I hold on to some random thought, you and the rest of our reality will react as I either communicate or do not. When I elect to communicate, my words modify all adjacent realities. Some of those language constructs continue to propagate and become a new reality. We are individual observers that as a collective communicate the state of reality for our agreed to universe. We are the building blocks of reality and language is what locks in our discovery of reality. At one time, the bulk of humanity considered the Sun a god, the world flat, and flight impossible. Once people are able to describe a new reality that permanently modifies enough adjacent realities, then the new reality is discovered. Language is reality. And don’t forget, we now know that language is based in math.”

“Until you come up with a mathematical model that explains this, I loathe to call it a theory, OK theory, then your ideas, to use the German; es ist nicht einmal falsch!

Professor Tegmax’s use of German caused a huge increase in spittle. “That is why I am here, Professor Tegmax, I would like the university to fund my research. Pikovski just found pixelation. Our entire reality is encoded in the event horizon of some black hole. Why do we live on a black hole? Why is language the discovery tool for reality? You must support my research, Professor!”

“Get out, you and your crackpot ideas. Pixelation, indeed. Until the entire scientific community can understand and agree with Pikovski’s research, pixelation and the Holographic principle are not reality!”

“That Professor, I completely agree with,” Mark murmured as he left Professor Tegmax’s office for the last time.


“So Imuthes, what is different with this iteration of the encoding?

“Prefect, we placed the simulation in our future, not our present or past. I did, though, add much of our history into the iteration. The encoding of the simulation is holographic and the learning method is our language. This simulation is intended to tell us what it is like living on an event horizon. Its goal is to ascertain if there is a way to leave the prison of the event horizon. Can our frozen reality leak away from Sekhmet? In the 314th iteration, the simulation has just discovered the holographic reality. Even though it has discovered that it is trapped on the outer edge of a black hole, it appears that it is continuing discovery. The simulation science continues!”

“What was your bias Imuthes? What did you do this time to keep the Encoding alive?”

“Qa’a, we encoded a bias for hope.”

“Ah, my dear Imuthes, you give hope back to me on this day. The array gives us light and saved our world from being torn apart. Yet, it will not save us from the same fate as our simulation. So be it, launch the simulation to the Lagrange point. Someday, may a great civilization discover our simulation still at work looking for or having found a reality for leaving the event horizon.”

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The Democratization of Work – A Cooperative Exchange for Work

For a generation, the American worker has been under siege. Allison Pugh, Sociology Professor at the University of Virginia, writes about how today’s employment is a “one-way honor system” that ties workers to employers who have little responsibility to employees. Yet, from globalization’s competitive pressures stymying wages, to business’s relentless pursuit of productivity gains, to technology’s constant disruptive influences, the American worker has weathered it all. However, at this moment in time, the American worker stands at a fork with two clear choices for the way forward. Stay the path and let corporate lead, or band together in a new unionism to democratize work. I suggest the way forward is a cooperative work exchange, powered by block chain, defined and owned by the American worker.

With unions no longer looked to for protection, business pensions an anachronism where they still exist, and technology rapidly changing the work relationship from the top down, the American worker must realize that the status quo is both undesirable and unsustainable. The gig economy as it is currently being implemented further erodes the American worker’s pay, rights, and status. Yet, the gig economy could promise something so much more powerful. The gig economy could usher in new freedom and power to the American worker, while at the same time giving business one of the greatest advances in productivity since the advent of the assembly line. The gig economy instantiated as an exchange for work may some day rival the power of the world’s great exchanges for equity.

This exchange for the offering, contracting, managing and paying of work is envisioned to be powered by block chain technology (something like Ethereum). While work will always be identified at the point of need, the terms and conditions for the conduct of that work will now flow from the bottom up (gig worker to employer). To incentivize corporations in this new paradigm, businesses will have the ability to access the entire block chain ledger for analysis and Google-style algorithms for work forecasting and modeling. The Exchange’s mission will be to serve the American worker while enhancing the businesses that employ her by leveraging the power of the crowd. Here’s how it could work.

Technology

Recently, the Ethereum Project forked the technology underlying Bitcoin to create a generalized platform for building decentralized applications. Businesses and entrepreneurs quickly took note, with IBM even outlining an Internet of Things management concept using Ethereum. One of the Ethereum Project’s major enhancements was the inclusion of what they call contracts, which is basically a framework for including software logic with each transaction entity.

Thus, in the work exchange, the basic transaction entity would be a piece of discreet work. Discreet as in a task that is part of a user story, waterfall schedule, or even a real time help desk ticket. The work would have metadata outlining the skills needed, timelines, remuneration, and taxonomic elements (epic, program, department, company, etc.). Identity would be encrypted until necessary for consummating a transaction. This would protect businesses from corporate espionage and worker true identity from the negative side of metadata analytics. Everything else would be transparent to all on the work block chain. There are arguments for certain metadata to also be encrypted and maybe even some of the software logic as well, but these are topics that the exchange would decide according to its governance charter.

Whereas the mining concept in bitcoin is the main trust mechanism, algorithm and software contributions, research studies, and other exchange enhancing activities will be the sources of trust and user juice in the Exchange. It’s one thing to be great at a certain type of work or need a ton of a work from the Exchange, it’s another to enhance work for all.

I’m always amazed at how a simple idea rendered in software can become worth $1B plus. Uber, the harbinger of the gig economy that sometimes bears its name, is GPS, a map, a few algorithms, and a software form. With the Exchange, a similar simple worker interface is envisioned – a task or to do list. There is certainly a need for a vitae, yet all the user really needs is list of their current tasks, and a search capability to find new work (gigs) to bid on and the mechanism to so bid.

On the business side, current project management software, using REST/JSON integrations with the Exchange, would pretty much function as they do now for work under their purview. However, the massive data store encapsulated in the Ethereum block chain ledger poses as a litany of opportunities for business performance improvement.

Contracts

Leveraging the contract mechanism in Ethereum to bundle user defined work contracts is one of the key concepts of this proposal. While Uber gives drivers massively improved efficiency, it also places them in this new and mostly unregulated world of the gig worker. It is clear that business is moving to a post employee era, where all work is contracted on demand. However, the current gig economy has no mechanism or support for contracts that shield the worker. As essentially a company of one, all of the employment laws cease to cover this new business entity. Further, the bulk of case law is premised on the company-employee or company-company relationships, not this new hybrid, company-gig worker relationship.

So, new rules. Why can’t the exchange limit contracts to those defined by the gig workers? As contracts gain favor by workers, and more workers join the Exchange, the contracts become powerful actors in the company-gig worker relationship. For example, work for hire, favored by companies, is not in the best interest of the creative knowledge worker. In the software engineering world, open source (the opposite of work for hire) is rapidly becoming the preferred contract arrangement. Gig worker defined contracts, with enough workers that require them, can accelerate this evolution.

Most contract language today is a series of clauses that have a few variables that lawyers love to re-code. Regardless of the encoding, the clauses end up with the same few variables. Further, certain clauses cannot have certain variables in the presence of other certain clauses. Some clauses even respond to changes in state! Sounds like something a computer is good at doing. Luckily, the legal system is finally undergoing a computing transformation. For example, Stanford University’s law school has a large legal Informatics program that includes work into computable contracts.

One of the reasons the Exchange is proposed to be a non-profit entity owned by the gig workers is in direct recognition of business motivation. What globalization has taught business is that the employee as a resource is not a euphemism, it is reality. Resources in the warehouse is synonymous with employees on the bench. Training is a resource cost. Turnover happens and it is a cost. Friction is to be avoided. These are not behaviors to be saddened by, they are the behaviors that power our modern world and are unstoppable. We should not mourn that business is not motivated by what is good for the worker, we should recognize such, and put in place mechanisms that do consider the worker.

This new form of collective bargaining should appeal to all sides of the political spectrum. It does not need new law making, as it leverages what is already in place. It is not anti-business, as it recognizes what motivates business and agrees. This new form of collective bargaining actually gives business unprecedented forecasting capabilities. This new form of collective bargaining is actually about freedom for the individual via the power of democracy.

Analytics

Since the Kevin Bacon game popularized what is now known as scale free networks, graph theory has taken center stage of math as an economic value driver. The science has rapidly gone from predictions of nodes joining a network, to actually positing gravity driven information theory. It is hard to argue with the power of network analysis. Google is one of the biggest and most successful companies ever to trade an equity, and they owe it all to the power of network analysis via graph math. Web links describe networks. Search terms by person or by concept describe networks. Each of these networks have metadata that further describe them.

If you have millions, and soon billions of work items traded on a 100% transparent exchange, with a plethora of metadata defining taxonomies of every kind imaginable, what kind of networks and their attendant insights might one expect?

At some point, common work terms by taxonomy will become apparent. I call them lexemes, but you can think of them as types of work. With enough samples, we should start to see common sequencing of these work items. Over time, we will certainly get a good handle on effort estimates. Using graph math, we can create new algorithms. These algorithms can start to make project performance better. They can forecast, they can predict.

Thus, the Work Exchange is not only for the worker, it is for business. A massive data store of work can enable us to take on the great projects that stand as dreams today. The massive data store of work can provide detailed plans of unparalleled fidelity. The massive data store of work can forecast risks and trends with high confidence. The massive data store of work will surprise us with insights we cannot see today. Business will finally see through the fog of tomorrow and strategy will become truly executable.

Exchange Charter

While not an exchange, yet, Linkedin at a $25B market cap shows how valuable a work exchange could become. However, if Linkedin is the exchange, the exchange would be beholding to investors, and then in the end, the gig workers become the product, so rinse repeat, and workers as resources again in short order.

Linkedin, Google, Facebook, et. al, all have the same model. The creators and their data is the product, and advertisers are the customers. If the Exchange is a traditional business, who is the customer and who is the product?

It makes sense to create an entity that is chartered by the gig worker members, charges a micro fee for each transaction, and then gives some portion of profit back to the workers. The product is the work exchanged, as well as its metadata. Businesses are the customers. Making the gig workers the owners, changes their motivation as well. The gig workers will want the massive data store of work to always increase in value. The gig worker owners will want the best contracts for their members that can actually solicit work from business! The gig workers can only change the contract paradigm as far as business can comfortably adjust.

As is readily apparent in understanding this exchange for work, the size of the crowd is pretty key. Both power of negotiation and power of analytics are directly proportional to the numbers of workers and businesses participating. That is one reason that I think that some of the old tactics of unions will not find their way to success in the Work Exchange. A strike is bad for both sides, as the value of the exchange is driven by the number of successfully contracted work items. Work slowdowns, same thing. Outlandish contract claims as a method of negotiating, it might be tried, but the more logical would point out the weakening effect of prolonged negotiating. While these tactics may occur, they will not be effective in this new model, as the workers themselves own what is the most valuable. In old unionism, the power stemmed from the collective ability to stop working, hurting the employer. In the new unionism, workers will coerce business into friendlier contract terms by providing increasing value, not value denial actions.

Whatever the charter, the Exchange must be ruled by its members and not investors.

Conclusion

Business has already started the move to a gig economy, shedding the costs of the employee with the reduced costs of either a vendor or a temporary worker. It is clear that the full time employee is on the road to extinction. So what is the American worker to do? Stand pat, or begin a dialog for a way forward? We think a summit to discuss this Work Exchange concept, even if it does not result in a decision to move forward, will begin to illuminate a positive future for the American worker in the gig economy.