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we are interested in the resilience that comes from building a rich ecosystem of interoperable currencies

What are the core elements of a modern cryptocurrency?

Digital

Holdings are electronic and only exist and operate by virtue of a community’s agreement about how to interpret digital bits according to rules about operation and accounting of the currency.

Trustless

don’t have to trust a 3rd party central authority

Decentralized

Specifically, access, issuance, transaction accounting, rules & policies, should be collectively visible, known, and held.

Cryptographic

This cryptographic structure is used to enable a variety of people to host the data without being able to alter it.

Identity

there must be a way to associate these bits with some kind of account, wallet, owner, or agent who can use them

Other things that many take for granted in blockchains may not be core but subject to decisions in design and implementation, so they can vary between implementations

It does not have to be stored in a synchronized global ledger

does not have to be money. It may be a reputation currency, or data used for identity, or naming, etc

Its units do not have to be cryptographic tokens or coins

It does not have to protect the anonymity of users, although it may

if you think currency is only money, and that money must be artificially scarce

Then you must tackle the problem of always tracking which coins exist, and which have been spent. That is one approach — the one blockchain takes.

You might optimize for anonymity if you think of cryptocurrency as a tool to escape governments, regulations, and taxes.

if you want to establish and manage membership in new kinds of commons, then identity and accountability for actions may turn out to be necessary ingredients instead of anonymity.

In the case of the MetaCurrency Project, we are trying to support many use cases by building tools to enable a rich ecosystem of communities and current-sees (many are non-monetary) to enhance collective intelligence at all scales.

Managing consensus about a shared reality is a central challenge at the heart of all distributed computing solutions.

If we want to democratize money by having cryptocurrencies become a significant and viable means of transacting on a daily basis, I believe we need fundamentally more scalable approaches that don’t require expensive, dedicated hardware just to participate.

We should not need system wide consensus for two people to do a transaction in a cryptocurrency

Blockchain is about managing a consensus about what was “said.” Ceptr is about distributing a consensus about how to “speak.”

how nature gets the job done in massively scalable systems which require coordination and consistency

Replicate the same processes across all nodes

Empower every node with full agency

Hold this transformed state locally and reliably

Establish protocols for interaction

Each speaker of a language carries the processes to understand sentences they hear, and generate sentences they need

we certainly don’t carry some kind of global ledger of everything that’s ever been said, or require consensus about what has been said

Language IS a communication protocol we learn by emulating the processes of usage.

Dictionaries try to catch up when the usage

there is certainly no global ledger with consensus about the state of trillions of cells. Yet, from a single zygote’s copy of DNA, our cells coordinate in a highly decentralized manner, on scales of trillions, and without the latency or bottlenecks of central control.

Imagine something along the lines of a Java Virtual Machine connected to a distributed version of Github

Every time this JVM runs a program it confirms the hash of the code it is about to execute with the hash signed into the code repository by its developers

This allows each node that intends to be honest to be sure that they’re running the same processes as everyone else. So when two parties want to do a transaction, and each can have confidence their own code, and the results that your code produces

Then you treat it as authoritative and commit it to your local cryptographically self-validating data store

Allowing each node to treat itself as a full authority to process transactions (or interactions via shared protocols) is exactly how you empower each node with full agency. Each node runs its copy of the signed program/processes on its own virtual machine, taking the transaction request combined with the transaction chains of the parties to the transaction. Each node can confirm their counterparty’s integrity by replaying their transactions to produce their current state, while confirming signatures and integrity of the chain

If both nodes are in an appropriate state which allows the current transaction, then they countersign the transaction and append to their respective chains. When you encounter a corrupted or dishonest node (as evidenced by a breach of integrity of their chain — passing through an invalid state, broken signatures, or broken links), your node can reject the transaction you were starting to process. Countersigning allows consensus at the appropriate scale of the decision (two people transacting in this case) to lock data into a tamper-proof state so it can be stored in as many parallel chains as you need.

When your node appends a mutually validated and signed transaction to its chain, it has updated its local state and is able to represent the integrity of its data locally. As long as each transaction (link in the chain) has valid linkages and countersignatures, we can know that it hasn’t been tampered with.

If you can reliably embody the state of the node in the node itself using Intrinsic Data Integrity, then all nodes can interact in parallel, independent of other interactions to maximize scalability and simultaneous processing. Either the node has the credits or it doesn’t. I don’t have to refer to a global ledger to find out, the state of the node is in the countersigned, tamper-proof chain.

Just like any meaningful communication, a protocol needs to be established to make sure that a transaction carries all the information needed for each node to run the processes and produce a new signed and chained state. This could be debits or credits to an account which modify the balance, or recoding courses and grades to a transcript which modify a Grade Point Average, or ratings and feedback contributing to a reputation score, and so on.

By distributing process at the foundation, and leveraging Intrinsic Data Integrity, our approach results in massive improvements in throughput (from parallel simultaneous independent processing), speed, latency, efficiency, and cost of hardware.

You also don’t need to incent people to hold their own record — they already want it.

Another noteworthy observation about humans, cells, and atoms, is that each has a general “container” that gets configured to a specific use.

Likewise, the Receptors we’ve built are a general purpose framework which can load code for different distributed applications. These Receptors are a lightweight processing container for the Ceptr Virtual Machine Host

Ceptr enables a developer to focus on the rules and transactions for their use case instead of building a whole framework for distributed applications.

how units in a currency are issued

Most people think that money is just money, but there are literally hundreds of decisions you can make in designing a currency to target particular needs, niches, communities or patterns of flow.

Blockchain cryptocurrencies are fiat currencies. They create tokens or coins from nothing

These coins are just “spoken into being”

the challenging task of

ensure there is no counterfeiting or double-spending

Blockchain cryptocurrencies are fiat currencies

These coins are just “spoken into being”

the challenging task of tracking all the coins that exist to ensure there is no counterfeiting or double-spending

You wouldn’t need to manage consensus about whether a cryptocoin is spent, if your system created accounts which have normal balances based on summing their transactions.

In a mutual credit system, units of currency are issued when a participant extends credit to another user in a standard spending transaction

Alice pays Bob 20 credits for a haircut. Alice’s account now has -20, and Bob’s has +20.

Alice spent credits she didn’t have! True

Managing the currency supply in a mutual credit system is about managing credit limits — how far people can spend into a negative balance

Notice the net number units in the system remains zero

One elegant approach to managing mutual credit limits is to set them based on actual demand.

concerns about manufacturing fake accounts to game credit limits (Sybil Attacks)

keep in mind there can be different classes of accounts. Easy to create, anonymous accounts may get NO credit limit

What if I alter my code to give myself an unlimited credit limit, then spend as much as I want? As soon as you pass the credit limit encoded in the shared agreements, the next person you transact with will discover you’re in an invalid state and refuse the transaction.

If two people collude to commit an illegal transaction by both hacking their code to allow a normally invalid state, the same still pattern still holds. The next person they try to transact with using untampered code will detect the problem and decline to transact.

Most modern community currency systems have been implemented as mutual credit,

Hawala is a network of merchants and businessmen, which has been operating since the middle ages, performing money transfers on an honor system and typically settling balances through merchandise instead of transferring money

Let’s look at building a minimum viable cryptocurrency with the hawala network as our use case

To minimize key management infrastructure, each hawaladar’s public key is their address or identity on the network. To join the network you get a copy of the software from another hawaladar, generate your public and private keys, and complete your personal profile (name, location, contact info, etc.). You call, fax, or email at least 10 hawaladars who know you, and give them your IP address and ask them to vouch for you.

Once 10 other hawaladars have vouched for you, you can start doing other transactions because the protocol encoded in every node will reject a transaction chain that doesn’t start with at least 10 vouches

seeding your information with those other peers so you can be found by the rest of the network.

As described in the Mutual Credit section, at the time of transaction each party audits the counterparty’s transaction chain.

Our hawala crypto-clearinghouse protocol has two categories of transactions: some used for accounting and others for routing. Accounting transactions change balances. Routing transactions maintain network integrity by recording information about hawaladar

Accounting Transactions create signed data that changes account balances and contains these fields:

The final hash of all of the above fields is used as a unique transaction ID and is what each of party signs with their private keys. Signing indicates a party has agreed to the terms of the transaction. Only transactions signed by both parties are considered valid. Nodes can verify signatures by confirming that decryption of the signature using the public key yields a result which matches the transaction ID.

Routing Transactions sign data that changes the peers list and contain these fields:

As with accounting transactions, the hash of the above fields is used as the transaction’s unique key and the basis for the cryptographic signature of both counterparties.

Remember, instead of making changes to account balances, routing transactions change a node’s local list of peers for finding each other and processing.

a distributed network of mutual trust

operates across national boundaries

everyone already keeps and trusts their own separate records

Hawaladars are not anonymous

“double-spending”

It would be possible for someone to hack the code on their node to “forget” their most recent transaction (drop the head of their chain), and go back to their previous version of the chain before that transaction. Then they could append a new transaction, drop it, and append again.

After both parties have signed the agreed upon transaction, each party submits the transaction to separate notaries. Notaries are a special class of participant who validate transactions (auditing each chain, ensuring nobody passes through an invalid state), and then they sign an outer envelope which includes the signatures of the two parties. Notaries agree to run high-availability servers which collectively manage a Distributed Hash Table (DHT) servicing requests for transaction information. As their incentive for providing this infrastructure, notaries get a small transaction fee.

This approach introduces a few more steps and delays to the transaction process, but because it operates on independent parallel chains, it is still orders of magnitude more efficient and decentralized than reaching consensus on entries in a global ledger

millions of simultaneous transactions could be getting processed by other parties and notaries with no bottlenecks.

There are other solutions to prevent nodes from dropping the head of their transaction chain, but the approach of having notaries serve out a DHT solves a number of common objections to completely distributed accounting. Having access to reliable lookups in a DHT provides a similar big picture view that you get from a global ledger. For example, you may want a way to look up transactions even when the parties to that transaction are offline, or to be able to see the net system balance at a particular moment in time, or identify patterns of activity in the larger system without having to collect data from everyone individually.

By leveraging Intrinsic Data Integrity to run numerous parallel tamper-proof chains you can enable nodes to do various P2P transactions which don’t actually require group consensus. Mutual credit is a great way to implement cryptocurrencies to run in this peered manner. Basic PKI with a DHT is enough additional infrastructure to address main vulnerabilities. You can optimize your solution architecture by reserving reserve consensus work for tasks which need to guarantee uniqueness or actually involve large scale agreement by humans or automated contracts.

It is not only possible, but far more scalable to build cryptocurrencies without a global ledger consensus approach or cryptographic tokens.

the bell curve described the wealth and income distribution of American society

As the technology boom of the 1990s increased productivity, many assumed that the rising water level of the economy was raising all those middle class boats. But a different phenomenon has also occurred. The wealthy have gained substantially over the past two decades while the middle class has remained stagnant in real income, and the poor are simply poorer.

America is turning into a power-curve society: one where there are a relative few at the top and a gradually declining curve with a long tail of relatively poorer people.

For the first time since the end of World War II, the middle class is apparently doing worse, not better, than previous generations.

an alarming trend

What is the role of technology in these developments?

a sweeping look at the relationship between innovation and productivity

New Economy of Personal Information

Power-Curve Society

the future of jobs

the report covers the social, policy and leadership implications of the “Power-Curve Society,”

World Wide Web

as businesses struggle to come to terms with this revolution, a new set of structural innovations is washing over businesses, organizations and government, forcing near-constant adaptation and change. It is no exaggeration to say that the explosion of innovative technologies and their dense interconnections is inventing a new kind of economy.

the new technologies are clearly driving economic growth and higher productivity, the distribution of these benefits is skewed in worrisome ways.

the networked economy seems to be producing a “power-curve” distribution, sometimes known as a “winner-take-all” economy

Economic and social insecurity is widespread.

major component of this new economy, Big Data, and the coming personal data revolution fomenting beneath it that seeks to put individuals, and not companies or governments, at the forefront. Companies in the power-curve economy rely heavily on big databases of personal information to improve their marketing, product design, and corporate strategies. The unanswered question is whether the multiplying reservoirs of personal data will be used to benefit individuals as consumers and citizens, or whether large Internet companies will control and monetize Big Data for their private gain.

Why are winner-take-all dynamics so powerful?

appear to be eroding the economic security of the middle class

A special concern is whether information and communications technologies are actually eliminating more jobs than they are creating—and in what countries and occupations.

How is the power-curve economy opening up opportunities or shutting them down?

Is it polarizing income and wealth distributions? How is it changing the nature of work and traditional organizations and altering family and personal life?

many observers fear a wave of social and political disruption if a society’s basic commitments to fairness, individual opportunity and democratic values cannot be honored

what role government should play in balancing these sometimes-conflicting priorities. How might educational policies, research and development, and immigration policies need to be altered?

The Innovation Economy

Conventional economics says that progress comes from new infusions of capital, whether financial, physical or human. But those are not necessarily the things that drive innovation

What drives innovation are new tools and then the use of those new tools in new ways.”

at least 50 percent of the acceleration of productivity over these years has been due to ICT

economists have developed a number of proxy metrics for innovation, such as research and development expenditures.

Atkinson believes that economists both underestimate and overestimate the scale and scope of innovation.

Calculating the magnitude of innovation is also difficult because many innovations now require less capital than they did previously.

Others scholars

see innovation as going in cycles, not steady trajectories.

A conventional approach is to see innovation as a linear, exponential phenomenon

leads to gross errors

Atkinson

believes that technological innovation follows the path of an “S-curve,” with a gradual increase accelerating to a rapid, steep increase, before it levels out at a higher level. One implication of this pattern, he said, is that “you maximize the ability to improve technology as it becomes more diffused.” This helps explain why it can take several decades to unlock the full productive potential of an innovation.

innovation keeps getting harder. It was pretty easy to invent stuff in your garage back in 1895. But the technical and scientific challenges today are huge.”

costs of innovation have plummeted, making it far easier and cheaper for more people to launch their own startup businesses and pursue their unconventional ideas

innovation costs are plummeting

Atkinson conceded such cost-efficiencies, but wonders if “the real question is that problems are getting more complicated more quickly than the solutions that might enable them.

we may need to parse the different stages of innovation: “The cost of innovation generally hasn’t dropped,” he argued. “What has become less expensive is the replication and diffusion of innovation.”

what is meant by “innovation,”

“invention plus implementation.”

A lot of barriers to innovation can be found in the lack of financing, organizational support systems, regulation and public policies.

90 percent of innovation costs involve organizational capital,”

there is a serious mismatch between the pace of innovation unleashed by Moore’s Law and our institutional and social capacity to adapt.

This raises the question of whether old institutions can adapt—or whether innovation will therefore arise through other channels entirely. “Existing institutions are often run by followers of conventional wisdom,”

The best way to identify new sources of innovation, as Arizona State University President Michael Crow has advised, is to “go to the edge and ignore the center.”

Paradoxically, one of the most potent barriers to innovation is the accelerating pace of innovation itself.

Institutions and social practice cannot keep up with the constant waves of new technologies

“We are moving into an era of constant instability,”

“and the half-life of a skill today is about five years.”

Part of the problem, he continued, is that our economy is based on “push-based models” in which we try to build systems for scalable efficiencies, which in turn demands predictability.

The real challenge is how to achieve radical institutional innovations that prepare us to live in periods of constant two- or three-year cycles of change. We have to be able to pick up new ideas all the time.”

pace of innovation is a major story in our economy today.

The App Economy consists of a core company that creates and maintains a platform (such as Blackberry, Facebook or the iPhone), which in turn spawns an ecosystem of big and small companies that produce apps and/or mobile devices for that platform

tied this success back to the open, innovative infrastructure and competition in the U.S. for mobile devices

standard

The App Economy illustrates the rapid, fluid speed of innovation in a networked environment

crowdsourcing model

winning submissions are

globally distributed in an absolute sense

problem-solving is a global, Long Tail phenomenon

As a technical matter, then, many of the legacy barriers to innovation are falling.

small businesses are becoming more comfortable using such systems to improve their marketing and lower their costs; and, vast new pools of personal data are becoming extremely useful in sharpening business strategies and marketing.

Another great boost to innovation in some business sectors is the ability to forge ahead without advance permission or regulation,

“In bio-fabs, for example, it’s not the cost of innovation that is high, it’s the cost of regulation,”

This notion of “permissionless innovation” is crucial,

“In Europe and China, the law holds that unless something is explicitly permitted, it is prohibited. But in the U.S., where common law rather than Continental law prevails, it’s the opposite