If Money = Memory, if Society = a Super Computer, if Computation is in Physical Systems, what is a Decentralized Operating System? By Dana Edwards. Posted on Steemit. October 24, 2018.
These concepts are not often discussed so let's have the discussion from the beginning. The first concept to think about is pancomputationalism or put another way the ubiquitous computers which exist everywhere in our environment. We for example can look at physical systems living and non living and see computations taking place all around us. If you look at rocks and trees you can see memory storage. If you look at DNA you can see code and if you look at viruses you can see microscopic programmers adding new codes to DNA. Even when we look at the weather such as a hurricane it is computing.
If you look at nature you see algorithms. You will see learners (yes the same as in AI), also in nature. The process is basically the same for all learning. Consider that everything which is physical is also digital. Consider that the universe is merely information patterns.
If we look at society we can also think of society as a computer. What does society compute though? One way people talk about a society is as a complex adaptive system, but this is also how people might talk about the human body. The human body computes with the purpose of maintaining homeostasis, to persist through time and reproduce copies of itself over time. The human brain computes to promote the survival of the human body. Just as viruses pass on codes to our DNA, the human brain is infected with mind viruses which are called memes. Memes are pieces of information which can alter physically how the brain is working.
The mind isn't limited to the brain. The mind is all the resources the brain can leverage to compute. In other words a person has a brain to compute with but when language was invented this allowed a person to compute not just using their own brain but using the environment itself. To draw on a cave is to use the cave to enhance the memory of the brain. To use mathematics is to use language to enhance the ability of the brain to compute by relying on external storage and symbol manipulation. To use a computer with a programming language is essentially to use mathematics only instead of writing on the cave wall we are writing in 1s and 0s. The mind exists to augment the brain in a constant feedback loop where the brain relies on the mind to improve itself and adapt. If there were no external reality the brain would have no way to evolve itself and improve.
A society in the strictly human sense of the word is the aggregation of minds. This can be at minimum all the human minds in that society. As technology improves the mind capacity increases because each human can remember more, can access more computation resources, can in essence use technology to continuously improve their mind and then leverage the improved mind to improve their brain. The Internet is the pinnacle of this kind of progress but it's obviously not good enough. While the Internet allows for the creation of a global mind by connecting people, things, and minds, it does nothing to actually improve the feedback loop between the mind and the brain, nor does it really offer what could be offered.
Bitcoin came into the picture and perhaps we can think of it as a better memory. A decentralized memory where essentially you can have money. The problem is that money is a very narrow application. It is the start, just as to learn to write on the cave wall was a start, but it's not ambitious enough in my opinion.
Humans in the current blockchain or crypto community do not have many ways where human computation can be exchanged. Human computation is just as valuable as non biological machine computation because there are some kinds of computations which humans can do quite easily which non biological machines still cannot do as well. Translation for example is something non biological machines have a difficult time with but human beings can do well. This means a market will be able to form where humans can sell their computation to translate stuff. If we look at Amazon Mechanical Turk we can see many tasks which humans can do which computer AI cannot yet do, such as labeling and classifying stuff. In order for things to go to the next level we will need markets which allow humans to contribute human computer and or human knowledge in exchange for crypto tokens.
The concept of a decentralized operating system is interesting. First if there are a such thing as social computations (such as collaborative filtering, subjective ranking, waze, etc) then what about the new paradigm of social dispersed computing?
The question becomes what do we want to do with this computing power? Will we use it to extend life? Will we use it to spread life into the cosmos? Will we use it to become wise? To become moral? To become rational? If we want to focus on these kinds of concerns then we definitely need something more than Bitcoin, Ethereum, or even EOS. While EOS does seem to be pursuing the strategy of a decentralized operating system which seems to be the correct course, it does not get everything right.
One problem is as I mentioned before the importance of the feedback loops between minds and brains. The reason I always communicate on the concept of external mind or extended mind is based on that fact that it is the mind which creates the immune system to protect the brain from harmful memes. The brain keeps the body alive. The brain is not really capable of rationality, or morality, or logic, and relies on the mind to achieve this. The mind is essentially all the computation resources that the brain can leverage.
EOS has the problem in the sense that it doesn't seem to improve the user. The user can connect, can join, can earn or sell, can participate, but unless the user can become wiser, more rational, more moral, then EOS has limits. EOS does have Everpedia which is quite interesting but again there are still problems. What can EOS do to improve people in society and thus improve society, if society is a computer and is in need of being upgraded?
Well if society is a computer first what does society compute? What should it compute? I don't even know how to answer those questions. I could suggest that if computation is a commodity along with data then whichever decentralized operating systems that do compete and exist will compete for these commodities. The total brain power of a society is just as important as the amount of connectivity. And the mind of the society is the most important part of a society because it is what can allow the society to become better over time, allow the people in the society to thrive, allow the life forms to continue to evolve avoid extinction.
A decentralized operating system on a technical level would have a kernel or something similar to it. This is the resource management part. For example Aragon promises to offer a decentralized OS and it too mentions having a kernel. A true decentralized operating system has to go further and requires autonomous agents. Autonomous agents which can act on behalf of their owners are philosophically speaking the extended mind. But the resources of a society is still finite, has to be managed, and so a kernel would provide for an ability to allow for resource management.
The total computation ability of a society is likely a massive amount of resources. A lot more than just to connect a bunch of CPUs together. Every member of the society which can compute could participate in a computation market. Of course as we are beginning to see now, the regulators seem concerned about certain kinds of social computations such as prediction markets. So it is unknown how truly decentralized operating systems would be handled but my guess is that if designed right then they could be pro-social, be capable of producing augmented morality by leveraging mass computation, and also by leveraging human computation be able to be compliant. To be compliant is simply to understand the local laws but these can be programmed into the autonomous agents if people think it is necessary.
What is more important is that if a law is clearly bad, and people have enhanced minds, then it will be very clear why the law is bad. This clarity will help people to dispute and seek to change bad laws through the appropriate channels. If there is more wisdom, due to insights from big data, from data scientists, etc, then there can be proposals for law changes which are much wiser and more intelligent. This is something specifically that people in the Tauchain community have realized (that technology can be used to improve policy making).
A lot is still unknown so these writings do not provide clear answers. Consider this just a stream of consciousness about concepts I am deeply contemplating. This is also a way to interpret different technologies.
Let's use Tauchain to save our own lives and the lives of others: The life saving potential of Tauchain. By Dana Edwards. Posted on Steemit. September 10, 2018.
In this post I'm going to discuss what I think is one of the main reasons why I want Tauchain to exist. This is a reason I think many or perhaps most people can relate to. It starts with the question of how can we save our own lives using our own effort? It evolves into the question of how can we save lives in general by augmenting our efforts as much as technologically feasible?
1 out of 2 (around 50%) will be diagnosed with invasive cancer
The current statistics reveal that the highest scale we have a 50% chance of developing cancer in our life time. This can be lower according to some recent statistics (closer to 30% or in some cases 40% but still this is very high). The fact is if we are each in a room then about 1 out of every 3 of us in the best case will get cancer someday. And 100% of us will know someone who has cancer someday. So there is a very high chance that someone we care about a lot will develop cancer and do we want to be in a position where we didn't do all we could to have a capability of saving their life? It could even be you who developers cancer and would you want to be in the position where you can say you dedicated some of your resources toward finding a cure?
Cancer is one of those global problems that most human beings want to eradicate. It is not politically controversial to want to cure cancer. It is also something that Tauchain can help with because using Tauchain we can scale discussions, define problems in a precise manner, and most importantly leverage the market. The ability to create markets which are smart (meaning which can adapt to regulatory obstacles) is a potentially unique feature of Tauchain.
Some might say that there are already pharmaceutical companies trying to cure cancer or develop anti-aging treatments. Indeed this is true there are these companies. The problem right now is these companies do not have the new business models which Tauchain might make possible. First is the fact that using an ICO you can let future patients/customers own shares in the company. This allows companies which want to create cures to have the potential to raise billions of dollars necessary to do expensive trials. In addition the ability to do research may improve due to the features of Tauchain as well so that it is cheaper to search for new potential drugs or supplements.
The human genome is very complicated and is an area we know very little about. Cancer is also something we have to study. One example of an approach to defeating cancer is immunotherapy but this again is going to require a lot of research into how to reprogram the immune system to identify and destroy cancer. If everyone can help or contribute in some way to the process then it makes the process much cheaper than it is right now which means the drug or treatment can potentially be cheaper due to lower R&D cost.
Most people want to live long and healthy lives but we still know very little
We know very little about aging. We do have some theories as to what causes aging. We even have some theories on how to slow it down. But we don't understand the mechanism well enough yet to develop a treatment. By aging I'm referring to the process by which cellular function deteriorates over time. We know for example the risk of getting cancer increases with age. But we still are working on the means of developing biomarkers to even determine the age of a person.
What if we could leverage the potential of Tauchain to discover more about the aging process? What if we could develop an anti aging pill or treatment which we could collaboratively develop and own? What if we could make a profit from every pill sold via tokenization? If this sounds good to you then it might sound good to millions of others who could be encouraged to participate in an ICO to develop a pill to slow or supplement the aging process.
The ethical and rational argument
Some people could say that to put an emphasis on saving lives is to seek to do the greatest good for the greatest number. This emphasis could put Tauchain on a fast track to mainstream adoption because utility would be measured in not just how profitable it is to hold a token but in the potential lives that could be saved. To profit from saving lives is an ethical and rational argument. To align the profit motive with saving as many lives as possible is an easy ethical (and rational) argument to make. People who value life will value any technology which saves lives.
Some projects exist which I will list below that already are trying to save lives or end aging. These projects did ICOs over Ethereum and so they currently are Ethereum focused. That being said there is the possibility that some projects could still leverage Tauchain regardless of whether they originally launched on Ethereum. It is also possible that new projects can launch on Tauchain to attempt the same or similar objectives.
What can Tauchain do?
Grunau, G. L., Gueron, S., Pornov, B., & Linn, S. (2018). The Risk of Cancer Might be Lower Than We Think. Alternatives to Lifetime Risk Estimates. Rambam Maimonides medical journal, 9(1).
Masa. Masayoshi Son . The master of SoftBank . The Japanese national of Korean background  - really great achievement in this context! The individual with, I suspect, the biggest buying power in all the human spacetime combined. In the world and in the history.
Masa's business record is formidable. He's not just serial and parallel multi-billionaire but a multi-billionaires-breeder  - for example he's THE Jack Ma-backer, i.e. THE Alibaba-maker. And many others more ...
He's buying pieces of Google  ! $32b cash for ARM , undisclosed $b cash for Boston Dynamics . Et cetera. And Masa definitely knows what he's doing with these bits and pieces. What mosaic he's building with those chunks.
Masa has a vision. An yuuuge vision. Masa has a Vision Fund . So, visions fully backed. Backing is what distinguishes a vision from fantasy. SoftBank Vision Fund current minimum check size is $100m by the organization's own rules.
With >$100b shopping spree cash in pocket (and we talking cash, not lower liquidity assets), and an yuge vision the already yuge Vision Fund to get even yuuuger.  Cause - you know - trillions are the new billions (and it is not 'just inflation' but in absolute, shear power - productivity beats inflation ).
His vision on the philosophic level in a nutshell is Vernon Vinge's  , Hans Moravec's  , Raymond Kurzweil's  (and countless other's  ) ... SINGULARITY .
On pragmatic level it is as simple as it is ingenious  - the machinery productivity and production grows so immense that inevitably and soon its output/supply exceeds the cumulative human demand. The machines run out of market!
Solution? As obvious as the Frederick Pohl's Midas Plague (1954)  - machines doing business with machines  (- from about minute 09:00 of the vid onwards). Many orders of magnitude more machine-machine collaboration than all the possible machine-human, human-machine or human-human ones. Trillions and trillions of transhuman chips and bots doing business between each other.
And Masa not just advocates or evangelizes this vision behind his Vision - he does it. Now.
In the narrow-minded aspect it is just matter of (a little) time before Masa notices my precious Tau  and ET3  (which I told you I see as 1, not 2 - explanations to be delivered in future posts).
From wide-minded perspective ... Well...
Do you see what I see?
Chatbots porting into Tau.
Masa's chips or bots are into Moore's law  state of inevitability, e.g. doomed to cross the human scale barrier and to rush even further ahead. To even crack the human natural language code barrier and to do all what a human can do and more. (On human-machine-Tau-machine-human sandwiching architecture for direct use of the few megayears thin natural language wealth and even the few gigayears deep non-verbal communication capital - some other time in some other posts).
Machine-Tau-Machine is completely legitimate and unavoidable use and dev mode. Nothing can stop it. (Better Turing Test, anyone?)
In my previous post  I explained my understanding of the ingenuity of Ohad's approach towards the Moravec-hardness problem of the human condition  - the realization that it is a waste and side-tracking to follow dehumanizing pathways of creation of biomimetic cybernetic homunculi to mitigate the organic limited human specifications, BUT we use them - Tau is the way the problem to become the solution. We utilitify all the processing and algorithmic capital accumulated over billennia into what we call human.
Is the Tau way into a divergence course with the Masa way? No! Absolutely not.
To make chips or bots of > and >> x100 Einstein intellect is a huge collaborative effort. Machines alone - it'd take few billions of man-years to get there. Humans needed - to serve as the effort amplifier lever fulcrum 
Tau with its human-machine-human network topology makes collaboration - for first time ever - really a P2P  thing, with social diameter  of 1 or even <1 for each and every participant  no matter human or machine.
- Tau is Masa vision accelerator.
- Tau is the geodesic Agora  of all intellects imaginable, no matter 'natural' or 'artificial'.
NOTE: Ohad most probably will disagree with this vision of visions on visions of mine, but I dared to dare already anyways. Sorry, bro. It is of course, not an official Tau Team position.
 - https://en.wikipedia.org/wiki/Masayoshi_Son
 - https://en.wikipedia.org/wiki/SoftBank_Group
 - https://en.wikipedia.org/wiki/Koreans_in_Japan#Integration_into_Japanese_society
The vision of Tau-Chain, a blockchain based self-amending platform designed to scale human collaboration and knowledge building. By Isar Flis. Posted on Steemit. January 8, 2018.
The Crypto-Currency Market
With the fluctuation in the price of Bitcoin, there are more voices claiming that the crypto-currency market is a bubble, warning investors about the risks of investing and possibly losing their funds. One of the claims is that virtual coins have no real value. However, by carefully studying this market, the potential investor will discover that some projects include technology, innovation, true vision and strong community, thus creating a fiscal value like that of other successful startup companies.
Today, it is difficult to predict which coin will secure a place among the top currencies on Coinmarketcap. There are large number of projects and buzz-words, used in fancy websites and white-papers, which make it challenging to extract the relevant information and make educated investments. In addition, there are projects that work “under-the-radar” and are very technical to comprehend, discouraging potential investors.
I would like to discuss one of these technical projects that works under-the-radar, without a fancy website or extensive marketing campaign but with brilliant innovation and fast-growing community. The name of the project is Tau-Chain (Agoras tokens on Coinmarketcap), developed by Ohad Asor.
Tau is a collaboratively self-amending program designed to scale human collaboration and knowledge building. To further clarify the explanation, think about a platform that can develop any computer program the user desires, based solely on discussions with his or her team about the program’s specification and development. The use of such a platform can change not only the crypto-ecosystem, but all branches of science.
Tau’s vision has a long way to go. However, Ohad has developed a detailed roadmap to achieve his vision. Tau will be developed in four stages, as follows:
Tau Meta Language (TML): TML is the base language that will enable all users to interact with each other, no matter what computer language they speak. Think about it as the technology behind Google Translate, but for computer languages, or as Ohad calls it: “the Internet of Languages”.
Alpha: Alpha is a social platform that promotes discussions between infinite numbers of users. Today, an effective conversation cannot be held when too many people take part in the decision-making process (that is why democracy was created). However, Alpha will be able to scale these discussions and detect logical points of consensus between users, thus enabling better knowledge sharing and construction.
Beta: Beta will advance Alpha to enable the development of computer programs, based on user discussions in the platform. To make this more tangible, think of Wix.com where anyone can easily develop a website, even without the technical expertise. With Beta, the code for any computer program will be developed based on specific instructions that the user provides.
Tau: Tau is where blockchain is introduced, thereby creating a decentralized platform (the Tau-Chain), compared to the centralized Beta. Tau will be self-amending and will be able to deduce knowledge based on the information submitted by its users. In its final stage, Tau will amplify the creation of knowledge for its users, advancing current human-knowledge, research and development in different disciplines, such as physics, mathematics and computer science.
The reasoning behind designing the roadmap in four stages is that each stage can support the advancement of the next one. This year we expect the development of the first two stages, TML and Alpha, to be completed. Using Alpha’s discussion platform, an infinite number of developers can join the project to build Beta, expediting its go-to-market date. After Beta is developed, it will only be a matter of time until Tau is completed as all technical challenges will be resolved using Beta.
The legal entity behind this operation is called “IDNI” (Intelligent Decentralized Networks Initiatives), which is composed by Tau’s development team and support units.
So, what is Agoras?
While Tau creates a true knowledge society, Agoras is about creating true monetary knowledge, by powering the ecosystem built via Tau. Agoras will be used to execute the applications of Tau, Zennet (Computational Resource Market), derivatives trading platform and further developments to be built as part of Tau’s ecosystem.
There are 42 million agoras in total. Most of the tokens were sold by Ohad during 2017. The sold tokens, named IDNI Agoras, represent the future Agoras coins holders will receive upon the completion of Tau (fourth stage), where the blockchain is introduced.
The current price of one IDNI Agoras is around ~$2 (traded on Bittrex), which has shown a steady growth throughout the development of the project. The initial code that was released as a proof of concept strengthened the confidence of investors in Tau, compared to competing projects.
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 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.
The value of Knowledge Representation and the Decentralized Knowledge Base for Artificial Intelligence (expert systems). By Dana Edwards. Posted on Steemit. March 27, 2017.
This article contains an explanation of two core concepts for creating decentralized artificial intelligence and also discusses some projects which are attempting to bring these concepts into practical reality. The first of these concepts is called knowledge representation. The second of these concepts is called a knowledge base. Human beings contribute to a knowledge base using a knowledge representation language. Reasoning over this knowledge base is possible and artificial intelligence utilizing this knowledge base is also possible.
Knowledge representation defined by it's roles.
To define knowledge representation we must list the five roles of knowledge representation which can reveal what it does.
1. Knowledge representation is a surrogate
2. Knowledge representation is a set of ontological commitments
3. Knowledge representation is a fragmentary theory of intelligent reasoning
4. Knowledge representation is a medium for efficient computation
Part 1: Knowledge Representation is a Surrogate
By surrogate we means it is substituting or acting in place of something. So if knowledge representation is a surrogate then it must be representing some original. There is of course an issue that the surrogate must be a completely accurate representation but if we want a completely accurate representation of an object then it can only come from the object itself. In this case all other representations are inaccurate as they inevitably contain simplifying assumptions and possibly artifacts. To put this into a context, if you make a copy of an audio recording, for every copy you make it going to contain slightly more artifacts. This similarly also happens when dealing with information sent through a wire, where if not properly amplified there eventually will be artifects that come from copying a transmission.
"Two important consequences follow from the inevitability of imperfect surrogates. One consequence is that in describing the natural world, we must inevitably lie, by omission at least. At a minimum we must omit some of the effectively limitless complexity of the natural world; our descriptions may in addition introduce artifacts not present in the world.
Part 2: Knowledge Representation is a Set of Ontological Commitments.
"If, as we have argued, all representations are imperfect approximations to reality, each approximation attending to some things and ignoring others, then in selecting any representation we are in the very same act unavoidably making a set of decisions about how and what to see in the world. That is, selecting a representation means making a set of ontological commitments. (2) The commitments are in effect a strong pair of glasses that determine what we can see, bringing some part of the world into sharp focus, at the expense of blurring other parts."
In this case because our commitments are made then our representation is selected by making a set of ontological commitments. An ontological commitment is a framework for how we will view the world, such as viewing the world through logic. If we choose to view the world through logic, through rule-based systems then all of our knowledge about the world is also within that framework. We choose our representation technology and commit to a particular view of the world.
Part 3: Knowledge Representation is a Fragmentary Theory of Intelligent Reasoning.
Mathmaetical logic seems to provide a basis for some of intelligent reasoning but it is also recognized to be derived from the five fields which include of course mathematical logic, but also psychology, biology, statistics, and economics. If we go with mathematical logic then we have deductive and inductive reasoning approaches. Deductive reasoning according to some is the basis behind. If we want to explore an example of reasoning we can take the Socrates example,
Statement A: True? Y/N?
"All men are mortal"
Statement B: True? Y/N?
"Socrates is a man"
Satement C: True? Y/N?
"Socrates is a mortal"
If A is true, and B is also true, then C must be true. This is an example of basic logical reasoning which can easily be resolved using symbol manipulation and knowledge representation. The symbol at play in this example would be implication.
Part 4: Knowledge Representation is a Medium for Efficient Computation.
If we think of computational efficiency, and think of all forms of computation whether mechanical or natural in the sense of the sort of computation done by a biological entity, then we may think of knowledge representation as a medium for that computation efficiency. Currently we think of money as a medium of exchange, and if we think of the human brain as a type of computer which does human computation, then we may think of knowledge representation.
While the issue of efficient use of representations has been addressed by representation designers, in the larger sense the field appears to have been historically ambivalent in its reaction. Early recognition of the notion of heuristic adequacy  demonstrates that early on researchers appreciated the significance of the computational properties of a representation, but the tone of much subsequent work in logic (e.g., ) suggested that epistemology (knowledge content) alone mattered, and defined computational efficiency out of the agenda. Epistemology does of course matter, and it may be useful to study it without the potentially distracting concerns about speed. But eventually we must compute with our representations, hence efficiency must be part of the agenda. The pendulum later swung sharply over, to what we might call the computational imperative view. Some work in this vein (e.g., ) offered representation languages whose design was strongly driven by the desire to provide not only efficiency, but guaranteed efficiency. The result appears to be a language of significant speed but restricted expressive power .
While I will admit the above paragraph may be a bit cryptic, shows that there is a view that better representation of knowledge leads to computational efficiency.
Part 5: Knowledge Representation is a Medium of Human Expression.
Of course knowledge representation is part of how we communicate with each other or with machines. Human beings use natural language to convey knowledge and this natural language can include the use of vocabularies of words with agreed upon meanings. This vocabulary of words may be found in various dictionaries including the urban dictionary and we rely on these dictionaries as a sort of knowledge base.
What is a decentralized Knowledge Base?
To understand what a decentralized knowledge base is we must first describe what a knowledge base is. A knowledge base stores knowledge representations which are described in the above examples. This knowledge base in more simple terms could be thought of as representing the facts about the world in the form of structured and or unstructured information which can be utilized by a computer system. An artificial intelligence can utilize a knowledge base to solve problems and typically this particular kind of artificial intelligence is called an expert system. The artificial intelligence in the most simple form will just reason on this knowledge base through an inference engine and through this it can do the sort of computations which are of great utility to problem solvers.
When we think of Wikipedia we are thinking about an encyclopedia which the whole world can contribute to. When we think about the problems with Wikipedia we can quickly see that one of the problems is the fact that it's centralized. We also have the problem that the knowledge that is stored on Wikipedia is not stored in a way which machines can make use of it and this means even if Wikipedia can be useful for humans to look up facts it is not in the current form able to act effectively as a decentralized knowledge base. DBPedia is an attempt to bring Wikipedia into a form which machines can make use of but it still is centralized which means a DDOS or similar attack can censor it.
Decentralized knowledge is important for the world and a decentralized knowledge base is critical for the development of a decentralized AI. If we are speaking about an expert system then the knowledge base would have to be as large as possible which means we may need to give the incentive for human beings to contribute and share their knowledge with this decentralized knowledge base. We also would have to provide a knowledge representation language so that human beings can share their knowledge in the appropriate way for it to enter into the knowledge base to be used by potential AI.
Knowledge representation is a necessary component for the vast majority of attempts at a truly decentralized AI. If we are going to deal with any AI then we must have a way for human beings to convey knowledge to the machines in a way which both the human beings and machines can understand it. The use of a knowledge representation language makes it possible for a human being to contribute to a knowledge base and this ultimately allows for machines to make use of it's inference engine capabilities to reason from this knowledge base. In the case of a decentralized knowledge base then the barrier of entry is low or non-existent and any human being or perhaps any living being or even robots can contribute to this shared resource yet at the same time both humans and machines can gain utility from this shared resource. An artificial intelligence which functions similar to an expert system can make use of an extremely large knowledge base to solve complex problems and a decentralized knowledge base combined with open and decentralized access to this artificial intelligence can benefit humanity and life on earth in general if used appropriately.
Discussion of example projects.
One of the well known attempts to do something like this is Tauchain which will have both a knowledge representation system and a decentralized knowledge base. In the case of Tau there will be a special simple knowledge representation language under development which resembles simplified controlled English. This knowledge representation language will allow anyone to contribute to the collective knowledge base. Tauchain eventually will have a decentralized knowledge base over the course of it's evolution from the first alpha.
Unfortunately upon reading the Lunyr whitepaper and following their public materials I fail to see how they will pull off what they are promising. I do not think the current Ethereum can handle concurrency which probably would be necessary for doing AI. I also don't see how Ethereum would be able to do it securely with the current design although I remain optimistic about Casper. The lack of code on Github, the lack of references to their research, does not allow me to completely analyze their approach. I can see based on the fact that they are talking about a decentralized knowledge base that their approach will require more than the magic of the market combined with pretty marketing. They will require a knowledge representation language, they will require a true decentralized knowledge base built into IPFS. This true decentralized knowledge base will have to scale with IPFS and through this maybe they can achieve something but without a clear plan of action I would have to say that today I'm not confident in their approach or in Ethereum's ability to handle doing it efficiently.
Fuente / Source: Original post written by Dana Edwards. Published on Steemit: The value of Knowledge Representation and the Decentralized Knowledge Base for Artificial Intelligence (expert systems).
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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.