What Is TAMA EGG NiftyGotchi (TME)?
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TAMA EGG NiftyGotchi Storage Key Points
|Coin Name||TAMA EGG NiftyGotchi|
|Source Code||Click Here To View Source Code|
|Explorers||Click Here To View Explorers|
|Twitter Page||Click Here To Visit Twitter Group|
|Whitepaper||Click Here To View|
|Official Project Website||Click Here To Visit Project Website|
Centralized Owners, Partial Data, Lack of Portability
Even when there exist reputation systems such as those on peer-to-peer marketplaces, the reputation data is embedded and owned by the companies that have created the applications, offering no external nor network effect benefits. Reviews on Yelp, or posts and comments on Quora, Reddit, or Stack Overflow, are not easily obtainable off their platforms. Some of the most successful systems exist on these sharing economy applications that ironically are the least likely to share the data they have collected.
Furthermore, even after users have invested significant effort in fostering trust in one community, there is no mechanism to transfer that trust to another. As adoption of these platforms surged over the past decade, these applications owners have become the factor stewards of users’ reputation data. As a result, the ownership of and power to use the data have shifted greatly away from the individual to centralized repositories.
The fragmentation of a user’s reputation across multiple applications is yet another consequence; often, gaining a comprehensive view of a stranger’s reputation requires a tedious due diligence process involving assembly and comparison of unreliable reputation puzzle pieces scattered across the Internet.
Direct Learning from LinkedIn
TAMA EGG NiftyGotchi direct experience from co-founding LinkedIn, the world’s most successful professional social network with more than 500 million users, shows that despite a relatively dense web-of trust social network, a lack of trust still prevents large classes of interactions from effectively occurring on the application. For instance, consider the falsification of professional profiles, such as job titles, expertise employment length, university degrees.
In addition, high incidents of spam In Mail messages from strangers and self-promoting posts in groups also permit some users to abuse the rest of their community. In retrospect, TAMA EGG NiftyGotchi still could not design out significant instances of malicious user activity and untrustworthy use cases.
While these shortcomings serve to decrease trust among individual professionals, they are also ironically detrimental to the business itself, limiting the effectiveness of add targeting and identification of relevant job opportunities. Variations of these problems exist on other social platforms as well.
Principles of Trust
TAMA EGG NiftyGotchi discuss trust and oft-related terms, reputation and identity, in the context of defining a protocol. Before discussing trust, they first cover reputation and identity as foundations, since both areas have attracted much investigation and past systems have attempted to address these topics.
TAMA EGG NiftyGotchi the context of the Protocol, reputation is multi-faceted and largely contextual; as such, it is impossible to define a universal “reputation score” nor have a single definition of a user’s reputation. For example, an athlete may be considered successful having won many matches in soccer, but they may be considered poor when it comes to playing tennis even though it can be generally inferred that they are a great athlete and have good team skills. Consequently, the Protocol defines a user’s reputation data as the immutable history of actual behaviors by the user. Reputation is formed from the activity of tasks.
Trust is assessed on individual identities and is a necessary foundation for the Protocol. Work on decentralized, more secure, self-sovereign identities (SSIs) are beginning with the advent of distributed ledger technology in addition to established centralized platforms offering identity services. TAMA EGG NiftyGotchi The work on identity systems remains a competitive and evolving space where new and improved standards will emerge. Today, identity systems also support multiple persona and anonymous use cases.
However, trust-at-a-distance cannot be achieved with simply stronger identities. Unfortunately, there will always exist bad actors with malicious intentions who can never be trusted even if they can be identified. Identity will not be a native primitive to the Protocol, but we seek to achieve trust-at-a-distance by associating identities with reputation data.