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Is Curiosumé is a Bad Investment?

by Dan Robles on January 15, 2015

Burn MoneyOver the years we have identified several features of Curiosumé that every investor wants to change – but these are so fundamental to the operation of Curiosumé that to change them would make the application useless.

However, the follow-on applications could be so hugely profitable that we make the claim: “When hundreds of millions of entrepreneurs see the format of the data output from Curiosumé, they’ll know exactly what to do next”.  The hurdle is to build Curiosumé right while dodging the VC “gauntlet” of control.

Is Curiosumé a Bad Investment?

The following is a list of Curiosumé tenets that we hold critical to the development of the application and why each of these pass across the grain of traditional investment community to make the application difficult to fund:

A. The topmost ontology must belong to the Commons.  We specify Wikipedia, or other public databases for Curiosumé.  There will always be a strong tendency from investors to want to own the database or to define the ontology because there is a legacy ideal that this is where the value is. Private data, such as corporate wiki, can certainly be used to run Curiosumé, but MUST reconcile upward to the commons data base at higher order definitions. There will be a strong desire to own the ontology – we must resist this.

B. Non-competitive ranking system: This will be tough enough for the culture to accept – but we all must change ourselves at least as much as we expect others to change.  Our culture is steeped in tradition of competition; war, sports, even evolution (survival of the fittest), etc – all purport the necessity of competition. It was very difficult to find a suitable rating systems that did not invoke hierarchy and competition.  In reality, Nature exhibits many more examples of collaboration than competition, yet collaboration is not intuitive to the American psychology. We are not saying that competition is bad, it is just inefficient on a crowded planet because it manufactures more uncompensated losers than compensated winners.  There is always a strong tendency for investors to rank business components on a hierarchy – we must resist this.   There is a legitimate market for everyone.

C. Self-selecting: People must self-identify their participation in a community – a great deal of thinking, intention, and VALUE is created and deposited into the system through this extremely important process of self expression – this is where assurance is mined. The only way for it to work is to eliminate the incentive to cheat. The only way to eliminate the incentive to cheat is to eliminate the component of competition. If we eliminate the incentive to cheat then we can disaggregate hugely expensive vetting mechanisms that too often add crippling friction to a system.  There will be a strong desire by investors to rank other people in their own image and to sit on top of a hierarchy to control people – we must resist this.

D. “Learn-collaborate-teach” scale provides demand- production-supply metric. This is extremely important that the selection criteria provide these components that form factors of production for a proto-economy based on intangibles. Later we can design other non-competitive scales as they arise, likely as a smart contract application.  For now, there is so much baggage associated with competition in society that we should best stick with Learn-collaborate-teach scale for now.

E. Anonymity until the point of transaction: Big Data is valuable to the degree that it allows people to perform scenario testing with the community (commons) data. Anonymity allows for the benefits of big data to occur without any detriment of self-identifiable markers and associated moral hazards.  Like Craigslist – when two parties choose to interact with each other, they can then expose their identities in a P2P/block environment and communicate directly with each other equitably. There will always be a strong desire from investors to create a one-way communication channel (advertising, propaganda, control, etc) especially because Curiosumé data format will be near-perfect for targeted ads – we must resist this. However, advertisers can interact on a P2P basis with agents on a mutually agreed (economic) basis. This will be the interface to smart contracts.

F. Formation of the Asset: An asset can only be described as a [quantity] X {Quality} of /something/.  For example: . [100 gallons] X {potable} /water/ is an asset.  Likewise [2014] X {BMW} /SUV/ is an asset.  [2000 likes] X {Pepsi} /Facebook/ is an asset, etc.  Alone, “SUV”, “100 gallons”, “200 likes” are not assets and cannot be traded.  As such, from critical elements above, the ASSET must be defined as [A]X{B}/C/.

This is called a unit asset and represents a node in the network. A persona is then constructed from this node and its relatedness to the public database (wikipedia) Personas can be combined and all the nodes will remain attached and compared by degrees of separation. Degrees of separation will define relevance and VALUE. This formation must be indelible until the agent changes it – this makes it a good candidate for block articulation.

In summary, I have described at least 6 elements of Curiosumé that will always be rejected by traditional investors, yet are absolutely essential to the ability to set ourselves free from the oppression of market capitalism.  Is this a coincidence?

Is Curiosumé a Bad Investment?

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