Hans Moravec  is the patriarch of robotics . The real one, not the Sci-Fi father. Asimov was just the prophet in this scheme of things.
Moravec to Kurzweil is what's Bitcoin to Ethereum and Satoshi to Vitalik.
Sorry, for the rough joke. No offence, Ray! Back in the earler 2000s I bought your books too .
In my humble opinion - aside from the ''reality intratextualization''  concept - the other wisdom jewel of Moravec's - fruit of a life devoted to robotics - is the Moravec's Paradox .
Explained in his own words:
Encoded in the large, highly evolved sensory and motor portions of the human brain is a billion years of experience about the nature of the world and how to survive in it. The deliberate process we call reasoning is, I believe, the thinnest veneer of human thought, effective only because it is supported by this much older and much more powerful, though usually unconscious, sensorimotor knowledge. We are all prodigious olympians in perceptual and motor areas, so good that we make the difficult look easy. Abstract thought, though, is a new trick, perhaps less than 100 thousand years old. We have not yet mastered it. It is not all that intrinsically difficult; it just seems so when we do it.
or with Steven Pinker's :
The main lesson of thirty-five years of AI research is that the hard problems are easy and the easy problems are hard. The mental abilities of a four-year-old that we take for granted – recognizing a face, lifting a pencil, walking across a room, answering a question – in fact solve some of the hardest engineering problems ever conceived...
As I noted in a previous related post of mine , a system's value dynamics is all about how it scales. Preferable of course are systems which make more good to go around than less. Respectively, to come around.
Humanity is a network, and its scaling is stumbled by our innate attentional resources limitations.
Human social interaction is a skill and we naturally have only as much of it.
For now, in the good old hierarchic way , we can't deny that we scale satisfactory well (as compared, lets say, to our DNA-blockchain-fork-out first cousins the chimps ) for collaborating efficiently on successful execution of trivial tasks like empire building or colonization of the Galaxy.
But not all problems we encounter are simple. In fact most problems are more complex than we are capable to grok and master in the hierarchic collaboration mode, which quickly slams into the Shannon's 'brick wall' 
Ohad Asor's Tau  is intended to be humanity upscaler . This project is the first and only one I've discovered so far where the so obvious (after you know it) problem is even identified, stated and addressed.
This means uplifting the individual humans too, because we are literally AIs serially manufactured by our society (cf. feral children ).
It feels easy for us to attend, to remember, to forget, to think, to talk, to work together - so it is extremely Moravec-hard!
Tau is unique approach towards the Moravec-hardness of these problems in the realization that we do not need at all to waste time and resources to mimic nature and copy ourselves and to create high tech homunculi .
The 'problem' is the solution. Don't 'solve' it - just god damn use it!
It is the people who ask questions, upload statements, express tastes and do all that qualia  crap humans usually do.
The machine distills the semantic essence of all the shared thought flow, treats it as wishes specs, and automatically converts into executable code, incl. its own code self-amendment.
As Moravec found out few decades ago  :
The 1,500 cubic centimeter human brain is about 100,000 times as large as the retina, suggesting that matching overall human behavior will take about 100 million MIPS of computer power.
When these processing brain things are really put together in numbers the result is unprecedented power. An unstoppable force. A glimpse into it by Ohad :
It turns out that under certain assumptions we can reach truly efficiently scaling discussions and information flow, where 10,000 people are actually 100 times more effective than 100 people, in terms of collaborative decision making and collaborative theory formation. But for this we'll need the aid of machines, and we'll also need to help them to help us.
Without application of dehumanizing individual upgrades, without to be necessary to understand and reengineer the billions of years of evolutionary capital, but just harness it and use it. (Scaling itself must be scalable, too, ah?)
In my personal up to date limited understanding it seems that it is indeed the HUMANITY what's to be known as the Tau's 'Zennet Supercomputer', and the machines are the ... collab amplifier media, the 'internet' of it. (Ohad, correct me if I'm wrong, please.)
Like laser configurations of minds.
With performance stronger than thought.
NOTE: I have the honor to be in the Tau Team, but all reflections in this post are personally my opinion.
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.
The Power of Tau - Scaling the Creation of Knowledge. By Trafalgar. Posted on Steemit. December 31, 2017.
Ohad Asor, creator of Tau Chain/Agoras, has recently published the long awaited blog post detailing his vision for what very likely is the most ambitious project in the crypto space: Tau.
Tau will accelerate human endeavors by overcoming long ingrained limitations in our collaborative processes; limitations which we rarely even question.
The Problem of Social Governance
Take social governance, for example. As individuals, we have opinions over a wide variety of social issues. Perhaps you feel that the speed limit on certain roads is too high, or that programming should be a compulsory subject at public schools, or that everyone would benefit if cryptocurrencies were officially recognized and endorsed by the state.
However, you have no idea how to get these concerns across to the general public. I mean you could try writing a letter to your local representative or signing a petition but ultimately that's unlikely to gain much traction. Meanwhile, the very same issues that seems to have divided the nation over the past decade remain at the forefront of our political debate. Immigration, climate change, abortion, gun control etc. are all important issues of course, but very little progress have been made considering the amount of time, resources and attention that have been devoted to them.
So the problem with traditional forms of social governance, such as democratic voting, is apparent: on the one hand it has difficulty identifying and addressing the wide range of opinions different people hold, on the other hand, even with respect to the small number of issues that do end up bubbling up to the surface, it isn't particularly efficient at detecting consensus.
The central cause of this problem is that current modes of discussion are not scalable. There are inherent limitations in the way we're able to communicate our views across to each other; namely, human ability to comprehend and organize information is the main bottleneck. We cannot possible follow multiple conversations at once, or recall everyone's propositions once there are more than a handful of people in the mix. This is why most collaborative decision making bodies in practice are generally quite small in number: the President's cabinet, Supreme Court Justices, boardroom directions of a fortune 100 company etc.; you just can't have a productive discussion with 50 people. Our entire civilization is structured around this very limitation: discussions don't scale.
Scaling Collaborative Discussions Under Tau
Imagine if we can overcome this limitation; what will it mean for social governance? By using a self defining, decidable logic, the Tau network is easily able to keep track of every user's propositions and detect consensus automatically. Note that making a proposition is exactly the same as voting for that very same proposition: when you're proposing 'dogs should always be on a leash in public unless in a park' you're in effect putting in a vote for such a proposition. This way, countless issues, regardless of how technical or niche, can be assessed through the network concurrently, and social consensus can be detected on the fly. The Tau network can scale social governance by overcoming one of the greatest limitation in human communication of ideas by delegating the task of logically making sense of everybody's propositions to the computer. A simple use case of this will be the rules of the Tau network itself: through a self defining logic, Tau is able to detect consensus among its users from block to block, altering its own rules to conform to the choices of the user base.
The benefits of scaling discussions are not limited to just a more efficient form of social governance. Logic isn't merely about detecting surface level consensus, the network can easily form further deductions from everyone's propositions. If one states 'all men are mortal' and 'Socrates is a man', one can deduce that 'Socrates is mortal.' But deductions can be very deep and non trivial. Imagine if we had a group of 1000 mathematicians all inputting their mathematical insight as propositions. Tau can rapidly detect who agrees with whom on what, and deduce every logical consequence of their combined wisdom; in effect arriving to new truths and insights. In other words, Tau greatly accelerates the production of new knowledge. This will, of course, also work if you have physicists, doctors, engineers, computer scientists, indeed experts in every field working together on the platform. By scaling collaborative discussions in a logical network, Tau is able to scale the creation of knowledge.
When Tau comes into effect, any company, government, and indeed any organization not using this new network will be rendered obsolete. Tau aims to become an indispensable technology.
And this is only the alpha of Tau.
I will talk about the beta in a future posts. The beta will revolve around not just the scaling of discussions and consensus, but the automation and execution of code based of the results of those discussion. For more information on code synthesis and more, please read Ohad's blog. Also, do check out my introduction to Tau here if you missed it.
You can invest in Tau through buying Agoras tokens on Bittrex.
I am not affiliated or paid by the project. These represent my own subjective views. Tau/Agoras is the only other crypto project apart from Steem in which I see an extraordinary future, and I am merely sharing that with fellow Steemians here.
Ohad Asor's New Tau Blog
IRC Chat: Where you may ask Ohad himself technical questions
Tau Chinese QQ Group: 203884141
Ohad Asor the lead developer and founder of Tauchain releases first new blog post in over a year. By Dana Edwards. Posted on Steemit. December 30, 2017.
The new blog post titled "The New Tau" is available for everyone to read. The blog post speaks on the critical topic of collaborative decision making. This is a topic which I myself have been interested in and Ohad's solution is different from the usual solution. In my own thinking I was considering a solution based on collaborative filtering but I realized this would never scale. I then considered a solution based upon using IA (intelligence amplification) by way of personal preference agents and this does scale but requires that the agents have a lot of data to truly know each user and their preferences. The solution Ohad Asor comes up with attempts to solve many of the same problems but his solution scales without seeming to require collaborative filtering or any kind of voting as we traditionally think about it.
Let me list some of the obvious problems with voting which many will recognize from Steem which also relies on collaborative filtering:
Now let's see what Ohad Asor has to say:
In small groups and everyday life we usually don't vote but express our opinions, sometimes discuss them, and the agreement or disagreement or opinions map arises from the situation. But on large communities, like a country, we can only think of everyone having a right to vote to some limited number of proposals. We reach those few proposals using hierarchical (rather decentralized) processes, in the good case, in which everyone has some right to propose but the opinions flow through certain pipes and reach the voting stage almost empty from the vast information gathered in the process. Yet, we don't even dare to imagine an equal right to propose just like an equal right to vote, for everyone, in a way that can actually work. Indeed how can that work, how can a voter go over equally-weighted one million proposals every day?
This in my opinion is very true. In reality we have discussions and at best we seek to broadcast or share our intentions. Intent casting was actually the basis behind how I thought to solve this problem of social choice but I would say intent casting even with my best ideas would not have been good enough because again the typical voter would be uninformed. Without an ability of the typical voter to be either educated continuously which in a complex world may be unrealistic, or for the network itself to somehow keep the voter up to date, this intent casting barely works. It works well for shopping where a shopper knows what they want but does not work so well when a person doesn't actually know what they want and merely knows what they value. Values are the basis for morality, for ethical systems, and this is the area where Ohad's solution really shines.
Tauchain has the potential not only to scale discussions but also morality, because it will have the built in logic to make sure people can be moral without constant contradiction. The truth is, without this aid, the human being cannot actually be moral in decision making in my opinion due to the inability to avoid all sorts of contradictions.
All known methods of discussions so far suffer from very poor scaling. Twice more participants is rarely twice the information gain, and when the group is too big (even few dozens), twice more participants may even reduce the overall gain into half and below, not just to not improve it times two.
This is the conclusion that Ohad and myself reached separately but it still holds true. We require the aid of machines in order to scale collaborative decision making. This in my opinion is one of the major difference makers philosophically speaking between the intended design and function of Tauchain vs every other crypto platform in development. This also in my opinion is going to be the difference maker for the community which Tauchain as a technology will serve because it will enable the machines and humans to aid each other for mutual benefit or symbiosis.
The blog post by Ohad Asor brings forward a very important discussion which has many different angles to it. The angle I focused on with regard to the social choice dilemma is the problem of how do we scale morality. In my opinion if we can scale morality in a decentralized, open source, truly significant manner, then nothing stands in the way of absolute legitimacy, mainstream adoption, and with it a very high yet fairly priced token. The utility value of scaling morality in my opinion is higher than just about anything else we can accomplish with crypto tech and AI. If the morality is better, then the design of future platforms will be greatly improved in terms of how the users are treated, and this in itself could at least in my opinion help solve the debate about whether AI can remain beneficial over a long period of time. I think if we can scale morality in a decentralized way, it will make it easier to design and spread beneficial AI. Crypto-effective alturism could become a new thing if we can solve the deeper more philosophical problems.
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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.