How Tauchain and the Exocortex can give anyone a conscience and make anyone more law abiding. By Dana Edwards. Posted on Steemit. September 2, 2018.
First "anyone" is not literal. By anyone I mean anyone with a reasonable level of intelligence who is willing to take the advice generated by the network. The network would include human beings and machines. The network would learn and be more properly defined as a complex adaptive system. Tauchain would enable the emergence of this network. This post is about how the network which can emerge from Tauchain. It is also about how people who intend to be as moral as possible whilst also complying with the law as much as possible might leverage the network. This post assumes that the human brain has a finite memory and comprehension capacity. This post assumes that every human being can benefit from enhancing these naturally limited capacities in areas of legal comprehension and risk literacy (under the assumption that most or perhaps none of us know every law on the books but need to comply with the laws most likely to be aggressively enforced).
The Personal Moral Assistant
PMA is a concept I've been thinking about for years now. The idea that we can augment our ability to be moral persons. A PMA is a personal moral assistant and in an ideal world every person born would have one. This would be an interface similar to what we see with Cortana or Siri where you can ask any question pertaining to whether a particular action is right or wrong. This PMA would solve the problem using the same priorities that you would and so you would get a definite right or wrong result.
A Personal Moral Assistant is just one primary use case. But these personal assistants over Tauchain could also include for instance a Personal Compliance Assistant. This is essentially another bot but instead of dealing with moral problems this bot would handle compliance. If you're trying to accomplish a goal this bot would make sure that you do so following all the known laws as your exocortex currently understands it. This would enable people to avoid legal pitfalls whilst chasing opportunities.
In order to go from poor to rich in this world requires taking risks. There is no way around risk taking if you want to get ahead. Risk literacy is essential and very few people who are poor have risk literacy. The PMA might be able to tell a person whether a certain choice aligns with their current values. The PCA might tell a person whether a certain choice complies with the laws. What about opportunities? An opportunity web crawler agent could theoretically search across the entire Internet to find opportunities which match your chosen risk profile.
What are we doing today?
Today we have to make choices often in trial and error. If we aren't lucky enough to have mentors or people who can guide us then the only way to learn is to make the common mistakes. When we deal with moral problems today we often rely on holy scripture interpreted by other human beings who are just as flawed as we are. We simply don't have a bot which could interpret the scripture in a completely logical way. In other words we don't have the digital representation of the mind of our spiritual guides.
We also have a situation where some of us can afford to comply with every law and take the lowest risk approach while others simply don't have the resources available to pay the expensive legal fees. Some people get better legal advice than other people as well. What if we could get at least some level of legal assistance from our intelligent assistant? What if this intelligent assistant can even ask human beings who have legal knowledge to help?
And finally what if we could figure out which risks are worth taking and which are not worth taking? It's one thing to find opportunities but another to be able to assess them. People get scammed because at the end of the day our emotions influence our ability to do proper assessment of opportunities. I'm human and it even happens to me from time to time. What if we could avoid this by using the capabilities of Tauchain to analyze massive amounts of information for us which our brains could never handle?
Opportunity Crawler Bot
I ask a simple hypothetical question: what if you could have set a bot to search the Internet for opportunities that resemble Bitcoin in 2008? What if this bot would be activated and search for an indefinite period of time on an undetermined yet expanding number of networks? If you define "Bitcoin in 2008" in a way which the bot can make sense of then it could search for anything which meets that criteria. We have this technology now but it's extremely primitive. On Google you can set up alerts for certain things but what if you could go beyond mere alerts and look for code on Github, and certain individuals involved with it, and certain growth patterns?
A way to think about these bots / intelligent assistants
One way to think about these intelligent assistants is as part of your extended mind. These bots essentially help you to think better and communicate better. It's still you and what they do on your behalf is essentially as if you did it. So the total collection of all of these agents which are under your control represent your complete exocortex. It will take great responsibility and wisdom to use these abilities in a way which is perceived by the world as ethical, moral, legal, etc. It is for these reasons that I initiate a discussion on how each of you would like to use such technology if it did exist or such bots or how you would think about them?
“A human being should be able to change a diaper, plan an invasion, butcher a hog, conn a ship, design a building, write a sonnet, balance accounts, build a wall, set a bone, comfort the dying, take orders, give orders, cooperate, act alone, solve equations, analyze a new problem, pitch manure, program a computer, cook a tasty meal, fight efficiently, die gallantly. Specialization is for insects.”
― Robert A. Heinlein 
No, it is not a vow everybody to be everything. It is a reflection of the fundamental human fungibility . The average human can be taught to take any human role. The exceptions of true organic geniuses (those who are hard to be replaced) and morons (those who are incapable to replace), only confirm this general rule of shear numbers . This is what makes the mankind so scalable .
''Know'' is synonymous with ''can''. Literally. Knowledge = technology. Even etymologically . Knowledge is praxis . Only. There ain't such thing as impractical knowledge. If it is not a skill, it is not knowledge. I mentioned once  that we're all AIs. Ref.: feral children .
We are not what we eat , but we are what we've learnt. You are what you know/can. And you can what you have learnt. Learning is from the taking side. Teaching is on the giving side. Of one and a same process. We do not have a word to denote the modulus  of learning/teaching, it seems. But it will come.
We are taught by the others, the society. We are the cherry ontop of a layer cake of culture onto nature . We are learning by ... living. We acquire skills in plethora of contexts from family, street, school, job, media ... Learning  is not a monopoly of man, countless systems are also learners. Maybe one of the basic definitions of life and intelligence is the ability to learn . Giant topic, yeah. We won't graze into it here now on what is learning, but on how we learn.
Due to our neurological bottlenecks we spontaneously form hierarchies . This hinders our scalabilty  by forcing humanity to be more or less a fractal of 5. We are close to a number of breakthroughs which to mitigate these innate limitations of ours into a number of ways    . But the general case is not subject of this article - herein we focus on HOW we are taught. How we acquire knowledge, and how this knowledge of ours gets recognized and utilized by society. And the hierarchic emergent structuring is of course in full force upon us in teaching as well as into everything social else.
So comes education , such comes exam , knowledge certification , certified skills application , knowledge creation verification , job fitness testing , CVs and employer recommendations ... etc., etc. With all the bugs and the so little features of this 'map is not the territory' , situation.
It is all centralized and hierarchic - exactly as the global fractal of double-entry accountancy ledgers which we call fiat financial system is. In fact it is so interwoven with fiat finance than it is almost inextricable from it . And as much inefficient and imprecise.
In all these years of talking and thinking on Tauchain  - I noticed - and this suspicion of mine incrementally turns into shear conviction - that Tau, the upscaler of humanity, inevitably also is the ultimate teaching machine. If education is facilitating of learning, Tau is the maximizer of learning. By its very construction, it comes out so.
People talk and listen whenever and whatever they want. Tau has unlimited capacity to listen and attend and remember, and answer. Only limited by the hardware capacity allocated. Tau extracts meaning. Purifies the stream, distills it down to the essence. Detects repetitions, contradictions and all other, ubiquitous nowadays conversation bugs. Remembers changes of opinions of the individual user. And points them out. Sounds like the best tool to know oneself. And the others to know you if you let them.
Your Tau account or profile is what you know. You say what you say and also ask. Say statements and questions. Tau pools you together with the others who state the same and, more importantly, who ask the same type of questions. Knowing what you know, and asking about what you don't know but want to know, maps not only your knowledge state but also maps your knowledge dynamics. Records and drives how your knowledge changes. You even have access to what you forget, and can recollect it. True real time knowledge state reporting. For first time in human history.
If consciousness  is - aside from the clinical state of being merely awake - the post-factum integration of senso-motoric experience , the Accountant of mind, the speaker of the narrative which is you, then Tau is your consciousness booster. That is - stronger than thought.
The ultimate teaching, the ultimate fair testing or exam, the ultimate real-time comprehensive diploma, or certificate, super-peer reviewed paper(s) of you as academic carrer.., the ultimate job interview AND the ultimate ... job of being working as yourself and anything useful you create to be instantly scarcifiable and monetizable - your Tau account is! And all the rest of accessible socoety - being your own workforce. And you to them. In the billions. In a move. In real time.
Including control over the pathways of increase of your skills towards the most productive personally for you learning directions, because it aids you to analyze the you-Tau history and to apply knowledge maximizer techniques and to participate profitably into creation of newer better ones. Maximizer of self. And maximizer of society making it to consist of max-selfs. Ever improving. Merger of education with work occupation. Work-as-you-live.
The literal Knowledge Economy, as described by @trafalgar in his article  from few months ago. Where search, creation, reflection, certification, recognition, commercialization, accumulation, modification, improvement ... everything of knowledge - is all in one.
And it is not only Humans and Tau lonely job. I foresee the other Machines to join the party . Yes, I mean machines capable to have interests and to ask and seek answers of palatable questions.
This - the education amplification - to come down the technology way - has been, of course, anticipated by many. Few arbitrary examples:
- A distant rough-sketch hint for the inevitable tuition power of Tau is Neil Stephenson's  ''The Diamond age''  , with the depicted: '' Or, A Young Lady's Illustrated Primer '' , as an interactive networked teaching device.
- or if I'm right about the inevitable conquest of the natural languages territory  - UX  like in the 'Her' (2013) film .
- Thomas Frey  of the futurist DaVinci Institute  in his book ''Epiphany Z''  paid special attention of this.: down the way of micro- and nano-education, an effective merger of the processes of education, diplomas issuing, job application, exam and actual execution of job obligations. Tom does not know about Tau. But I'll tell him.
With a big smile of irony and self-irony of course... these examples. Just to pick from here and there proofs of the giant anticipation of what's to come. And taken with a few big grains of salt. Cause the reality will be immensely more powerful.
Tutor , tuition , my emphasis via using exactly this wording, comes to denote the economic side of learning/teaching. It is about the cost of learning - the association of tuition with fees, about the placement of the acquired skills, about the business organization of those, about the protection of ownership and security of transaction of knowledge ... Let me introduce here a neologism  which to reflect the business side of it:
Scrooge Factor 
- Simply denoting the money-making power of a technology use by a business. The 'money suction power' of a business entity or organization of any kind coming from the application of a technology, if you want. Technology as socialized knowledge. Scaled up over multiple humans. Over a society. Of course the Scrooge Factor can pump in different directions. The Scrooge Factor of the traditional hierarchic education, governance and everything ... is apparently very often negative - hierarchies decapitalize, dissipate, waste. Orders of magnitude more wasteful than any PoW , but on this - some other time.
So aside from all the niceties of the abstractions of the full supply and value chains of a Knowledge economy, lets round up some numbers:
- We know that a true functional semantic search engine alone is worth $10t. Yeah. Tens of Trills. Trillions. As per the assessments of Davos WEF attendees of as far as I remember 2015 or 2016...
- Also, Bill Gates stated back in 2004  that ''If you invent a breakthrough in artificial intelligence, so machines can learn,'' Mr. Gates responded, ''that is worth 10 Microsofts.''
- Tom Frey  also argued  that by 2030 the biggest corporation in the world will be an online school. Given the present day size and growth rate  of, say, Amazon  this 'online school' should be in the range of good deal of trillions of marcap if it is to be bigger than the biggest corporations. But we do not need such indirect analogies over analogies to access the scale. The shear size of the global education industry is the most eloquent indicator . Note that Tom talks about 'corporation' i.e. for clumsy and inefficient hierarchic human collective. Not for a system which does this orders of magnitude more efficiently and powerfully due to being intrinsically P2P, i.e. geodesic . Even the best futurologists can be forgiven for missing to predict Tau. :)
And this mind-boggling hail of trillions, does not even account for the Hanson Engine  factor.
Tau the Tutor ex Machina is just another unintended useful consequence outta the overall design.
It is nearly impossible to track and contemplate exactly what all these 'side-effects' would be and how they will synergetically boost each other.
With my articles I intend to only touch some lines of the immense phase space  of the possibilia, with neither any ambition to think it is possible to cover it all, nor this to represent any form of advice.
Future is incompressible. Compression is comprehension. Comprehensible only by living.
Failure to go to the geodesic way of learning, will turn these beautiful but trilling words into prophecy:
"The most merciful thing in the world, I think, is the inability of the human mind to correlate all its contents. We live on a placid island of ignorance in the midst of black seas of infinity, and it was not meant that we should voyage far. The sciences, each straining in its own direction, have hitherto harmed us little; but some day the piecing together of dissociated knowledge will open up such terrifying vistas of reality, and of our frightful position therein, that we shall either go mad from the revelation or flee from the deadly light into the peace and safety of a new dark age." H.P.Lovecraft  (1926 ).''
To zoom out is useful. It puts the events networks of our spacetime in perspective. Including on what the great Jorje Luis Borges was calling the Orbis Tertius :
''ORBIS TERTIUS. "Tertius" (Latin = third) is an allusion to: World 3: the world of the products of the human mind, defined by Karl Popper.''
Poetically stated, ''retrodiction studies'' , ,  enables us to get a glimpse on the "clear, cold lines of eternity".
Back in 20th century Prof Robin Hanson put together this extremely insightful and strong document .
Long-Term Growth As A Sequence of Exponential Modes,
Economy grows. [see: Footnote]. Unstoppable.
Hanson's unprecedented contribution was to provide us with systematic orientation tool on how and why economy grows.
It accelerates. See:
Mode Doubling Date Began Doubles Doubles Transition
Grows Time (DT) To Dominate of DT of WP CES Power
---------- --------- ----------- ------ ------- ----------
Brain size 34M yrs 550M B.C. ? "16" ?
Hunters 224K yrs 2000K B.C. 7.3 8.9 ?
Farmers 909 yrs 4856 B.C. 7.9 7.6 2.4
Industry 6.3 yrs 2020 A.D. 7.2 >9.2 0.094
The model identifies the past economy accelerators as.:
- neural networks, evolving into doubling brain size each 30-ish megayears (hinting that human level of intelligence is an inevitability: +/-30 millions of year around the Now, by the virtue of the good old 'coin-toss' Darwinian algorithm alone.)
- human as the top-of-the-foodchains predator since around 2 000 000 BC. (maybe the human mastering of the Fire and the Blade to blame), compressing the doubling time with over two orders of magnitude down to a quarter of a million of years.
- Food production, ecosystem manipulation (or rather the collimation of farming, horse domestication and writing as accelerator components), leading to less than 40 human generations per economy doubling.
- All we know as division of labor, specialization, systematized Sci-Tech... industry - the centralized ways for production and control of knowledge leading to another hundreds-fold compression down to mere ~decade of economy doubling time.
Recommended: digest each Hanson (economy accelerator drive or) Engine with the Bob Hettinga's 'ensime' :
My observation about networks in general is a rather obvious one when you think about it: our social structures map to our communication structures. As intuitive as it is to understand, this observation provides great insight into where the technology of computer assisted communication will take us in the years ahead.
Connectivity specs as indicator and drive.
Now, when we leave the past and use these models to gaze into the future, the really interesting stuff comes out.
Aside from giving explanation to the, detected by Brad DeLong in his also monumental paper , overall trajectory of the economy, the nucleus of meaning in the Rob Hanson's paper is:
Typically, the economy is dominated by one particular mode of economic growth, which produces a constant growth rate. While there are often economic processes which grow exponentially at a rate much faster than that of the economy as a whole, such processes almost always slow down as they become limited by the size of the total economy. Very rarely, however, a faster process reforms the economy so fundamentally that overall economic growth rates accelerate to track this new process. The economy might then be thought of as composed of an old sector and a new sector, a new sector which continues to grow at its same speed even when it comes to dominate the economy.
Visualize: a Petri dish and sugar being expanded in size and quantity by the accelerating growth of the bacterial culture in it.
Hanson actually predicted nearly quarter of century ago, ... something that is relentlessly coming.
In the CES model (which this author prefers) if the next number of doubles of DT were the same as one of the last three DT doubles, the next doubling time would be ... 1.3, 2.1, or 2.3 weeks. This suggests a remarkably precise estimate of an amazingly fast growth rate. ... it seems hard to escape the conclusion that the world economy will likely see a very dramatic change within the next century, to a new economic growth mode with a doubling time perhaps as short as two weeks.
An economy accelerator avalanche is roaring down the slope of time towards us.
A brand new Hanson Engine is about to leave the assembly line.
Tau, is that you?
FOOTNOTE: To wrap up the above statements in the flesh of the deep thesaurus of content onto which they lie, would conservatively consume hundreds of pages. Even if only briefed. I promise to come back to these subtopic meaning expansions (by referring back to here) with series of posts in the months to come to tie up with the notions of.: economy as a network, network as computer, what exactly it processes and outputs, economy (like the universe or life) being endogenously driven positive feedback loop self-amplifying non-equilibrium entropic combinatorial explosion system, the wealth as economy complexity growth in relation with GDP size and the intimate connection of dollars-joules in energy intensity, physical and economic limits of growth, self-reinforcing predator-pray models, knowledge as synonymous with skill and so forth, economic cycles upon the DeLong curve ... to name a few. Readers questions and comments will of course help a lot with the subtopics prioritization, and will boost (incl. mine) understanding. Thank you in advance!
NOTE: I currently have the pleasure and honor to be part of the Tau Team, but this post contains ONLY my personal views.
What is Tau-Chain?
The purpose of this article is to demonstrate how Tau-Chain (Tau) can be implemented in practice. I have already presented Tau and its four-step roadmap in my previous article, but I think that further explanation about Tau is required to better understand its applications.
Tau is basically a discussion platform (like any other social network you know) with two significant innovations:
*Just to clarify, knowledge can be facts, lines of code, qualitative and quantitative data, etc.
How Tau can be implemented in practice?
Tau will be a free, open-source platform to advance and execute knowledge. Think about it as a one-stop shop that provides free consulting services, in all areas, to large numbers of people. For example, if you would like to start an enterprise but you lack the relevant business skills, Tau can answer your questions and even perform a market research or analysis (if initial data is provided) to evaluate your business opportunity.
In order to better understand how Tau can improve our society, I am providing below a detailed example showing how I see the vision implemented in practice.
Suppose Alice and Olivia are Ph.D. students in computer science who face a problem with their research. They use Tau to discuss the details of their data, findings and hypothesis. Tau will automatically translate this information into its metalanguage, adding Alice and Olivia’s data to the knowledge archive. Tau is basically the third member in the conversation, and can guide Alice and Olivia to advance their research by interpreting the data and suggesting improvements to their findings. If the students would like to implement the research and develop computer software, Tau will assist them with writing the code in the most efficient way. Using Tau, Alice and Olivia can overcome the limits of their knowledge to quickly complete and implement their research.
But how can people profit from sharing their knowledge?
There is another way for Tau to deepen its knowledge and develop better intelligence. Tau can gain knowledge from the Knowledge Marketplace (Agoras), a blockchain based smart contracts platform where individuals are able to generate income by sharing knowledge and information. With every transaction and exchange of knowledge, Tau will be exposed to the data to become more “educated” and accurate, resulting in a better knowledge deduction capability.
I know that smart contract platforms already exist, but they all lack very important capabilities – the ability to auto-verify the data, run quality assurance tests and suggest improvements to eliminate potential disagreements between the parties to a contract. Tau’s artificial intelligence will support the transaction between the two parties, and will make sure that there will be no fraudulent activities, inaccurate information or low-quality services. This will be the only platform where a computer that acts human (without human deficiencies) will supervise and support such transactions.
The following example demonstrates a possible application of Agoras:
Consider Bob, a software developer who has recently signed a smart contract with David to design a new software program. When Bob shared his code in the Knowledge Marketplace (Agoras), Tau verifies the relevancy of the code and will even suggest improvements to advance the code, eliminating a potential disagreement about quality and fraud. Upon Tau’s approval, Bob will receive his reward, as agreed in the contract. Tau will use the final code as additional knowledge to strengthen the platform’s intelligence.
As described above, the compensation mechanism will incentivize users to contribute their knowledge to advance ideas of others. Thus, we create a society in which individuals’ knowledge and expertise become public domain and can be better utilized to promote social health, welfare and resources.
I provided only a few examples of how Tau and Agoras can by implemented in practice. My examples were computer-science related, but you should realize that Tau-Chain can advance ideas and produce knowledge for every collaborative human endeavor across all fields, including sciences, business and government. Think about a situation where you have a problem and need some help – this is where Tau can assist you with solving your problem and even execute the solution if required and applicable.
Just to clarify, Agoras is also the name of the tokens that users will use in the Knowledge Marketplace (the smart contract platform). Agoras tokens holders will also benefit from developments that will be built as part of Tau’s ecosystem, including a Computational Resource Market (“Zennet”), Distributed Search Engine and a Derivatives Trading Platform.
To end this article, I would like to quote the last paragraph in my previous article, as it is still relevant:
"I foresee huge potential for this project, and urge you to read and learn about this project and its relevant applications. If you find this vision interesting, I recommend that you follow the project on Telegram,Facebook, LinkedIn and Reddit, or read Ohad’s blog for further information."
Disclaimer: I have invested in Agoras. Please do your own research before investing in Agoras and/or any other coin or project. Please do not consider this article to constitute financial advice.
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Suggested readings to better understand the Tau ecosystem, Tau Meta Language, Tau-Chain and Agoras, and collaborate in the development of the project.
Lecturas sugeridas para entender mejor el ecosistema Tau, Tau Meta Lenguaje, Tau-Chain y Agoras, y colaborar en el desarrollo del proyecto.