Kalpagrama is a decentralized blockchain platform that makes it possible for the community to develop a global knowledge map by incentivizing authors through a cryptocurrency reward system. Users can extract intrinsic meanings from any content available on the Web and build semantic interconnections (links), collectively assessing their accuracy and reliability.

Our mission is to create a tool for understanding and structuring user-generated content in a manner that ensures equal access to the knowledge accumulated by communities around the world.

Knowledge is the most valuable resource; and surely those who possess it should by definition be not only the most valuable but also the wealthiest members of society. We aim to create conditions whereby everyone can earn money by contributing to the expansion of the global knowledge map, and local communities can regulate this process and act as a custodian for new knowledge and meanings.

“Kalpagrama” is a compound formed by amalgamating two words:
kalpa (from Skt. कल्प) meaning “law”, “space of knowledge”, and gram (from Greek gramma) meaning “record”.

Keynotes
INTRODUCTION
Mechanics
Community that develops ideas and meanings
Blockchain. Decentralized voting
Decentralized autonomous organizations (DAOs) in Kalpagrama

1. DAOs that create content
2. DAOs that reveal meanings
3. DAOs that vote
4. Universal DAOs

Benefits
Benefits for users
Benefits for authors of semantic cores
Benefits for content authors and bloggers
Analysis of existing solutions
Centralized solutions

• Wikipedia
• Youtube
• Instagram
• Twitter
• Obsidian

Decentralized solutions

• golos.io (steemit)
• Ton.Place
• Twister, Pump, Pandora, Hubzilla, Mastodon, Everipedia, Readdle, Cent, Diaspora, Odysee

Technical implementation
First stage. Solution based on an existing blockchain
Second stage. Own blockchain
Third stage. Content decentralization
User access to data (GUI)

• State control
• Vendors
• Referral rewards

Development plan (Roadmap) V1
Tokenomics (preliminary)
Our team
Glossary

We are currently at a point where Web 3.0 ideas are no longer just ideas, but are rapidly becoming a reality. No matter how convenient centralized services are, we can see that the result is always the same: censorship, blockings, experts, moderation and the imposition of the alleged “truth”. The services market takes on forms where people represent in one form or another goods. Such a result is inevitable because centralized systems are essentially the products of the human factor. With an infinite number of points of view, it is difficult to choose a single one that is undeniably correct, if there is one at all. The arbiter is the owner of the service, a nation-state, a designated group of experts, anyone really. They determine what is true and what is false. A person striving for power will never give it up voluntarily. Therefore, decentralized services present an opportunity to exclude harmoniously the unfair restrictions placed on the absolute majority by the absolute minority both in the Internet space and in life generally.

However, without the informed participation of society in this process, nothing will happen. Decentralization means primarily taking responsibility (whereas now we have delegated it to intermediaries). This is a very important point, and we believe that society is now ready for the next step. Fortunately, the development and widespread implementation of blockchain technologies, DEFIs and DAOs have made the advent of the Web 3.0 era possible now.

As of today, a large number of free services are available to the user on the social network market. However, in return for gaining free access to social media platforms such as Twitter, YouTube and Instagram, we are exposed to all the paid for advertising. Free social networks monetize our attention, manipulate our consumer behavior and most importantly give a blurred and distorted understanding of reality. Blockchain is not free either. The user will have to pay for the transaction for each action performed. However, the rules of this “game” are transparent. The user sees how their money is spent and what they get in return.

Existing media platforms designed to bring people together are no longer up to their task. This is a paradox, but, in fact, they do the opposite: they just alienate people from one another and end up creating ideological divisions.

The Kalpagrama social network unites people in their desire to give and receive knowledge.
Why is this necessary when we already have Wikipedia which is universally available? The answer is simple. Wikipedia is limited and increasingly politically aligned. It reflects a single point of view of an expert or group of experts whereas the truth is multifaceted.
One important difference between Kalpagrama and Wikipedia is that in Kalpagrama, we do not speak in terms of objective reality since we assume that it does not exist. We can only rely on our subjective perception that is unique to each and every one of us. Each person perceives reality in an individual way and therefore has his or her own idea of ​​the truth. Truth can be examined from different angles, and this should be done by society, not by appointed experts.
One important property of information is its reliability. We proceed from the fact that the reliability of information is not a property of the information itself, but a property that it acquires only in the context of the observer. Everyone has their own truth. Therefore, an article in Wikipedia, in our opinion, is just a subjective point of view of an unknown expert.

Today, the world is faced with a global problem in terms of information reliability. The way it is now being solved (censorship, blockings, fact checkers, etc.) is not even to the advantage of the owners of social networks themselves. Being under pressure, they are forced to choose voluntarism to the detriment of freedom of speech. This situation came about precisely because of the fact that the existing social networks are not decentralized.
With Kalpagrama, the community itself is solely responsible for the reliability of information. Each member of the community has equal rights and opportunities. Kalpagrama is completely decentralized, and there is no one person at the head of it deciding what is correct or incorrect. The reliability of the information is confirmed using the blockchain. The same transparent rules apply for everyone.
Along with the reliability of information, there is another big problem, that is, its amount. It is difficult for a person to analyze and digest such large amounts of information. This is when content aggregators (search engines and others) with their ranking and filtering algorithms come to the rescue. It is not necessary to forbid the truth. All you have to do is to make sure no one can find it.
You might have come across something valuable and consider yourself fortunate, but this does not yet count as a victory. As a rule, information is found in some kind of source, that is, videos, books, articles, etc. Such content can be very voluminous. This is another obstacle to us actually processing this knowledge. Most people will not watch an hour-long video, not even to the middle of it to just to come across a little piece of wisdom that could potentially change their life. The amount of newly created content in social networks and the way in which we try to digest it has given rise to the phenomenon of clip thinking.

With Kalpagrama, it is not the content that comes to the fore, but the meanings. Users find meanings and create semantic nodes and semantic interconnections. Others vote in order to determine just how close they are to the real essence of the meaning. This process will be described in more detail below. Since the meanings are local, one can explore them with whatever level of immersion he or she deems appropriate. But the main thing is that you can work effectively with them. You watch the content and see the intrinsic meanings. You see the intrinsic meanings and confirm or refute them by offering arguments in the form of other meanings

Kalpagrama marks up all content on the Internet, highlights meanings and builds interconnections (links) between them. It only superficially resembles the Knowledge Graph by Google, and it has nothing to do with OWL. In the process of creating Kalpagrama, it became obvious that it would be a mistake to describe subjective reality using the method of semantic abstractions. We perceive the world differently, and our thinking is based on much more complex structures (abstractions). Describing the world with OWL resembles reverse engineering of an alien ship in the Stone Age with the tools of that time. The result will be very different from what was expected.

The goal of Kalpagrama is to unite information from various sources around common meanings (that is, to integrate information based on a core understanding) and create conditions for faster access to knowledge.

By knowledge, we mean structured information within a local meaning. By essence, we mean an absolute core meaning that can be described with some accuracy by a set of local intrinsic meanings. By the degree of closeness of the semantic node, we mean an integral characteristic obtained from a variety of subjective assessments which confirm the accuracy of the meaning present in the semantic node.

With Kalpagrama, you don't need to watch any content for a long time in order to extract a few fragments of knowledge. You can get them straight away. Moreover, you access different interpretations from the community and can add your own ones. You can build links with other meanings. You can delve into any topic and find ways of presenting information that are most convenient for you. So, while reading a book and trying to locate a paragraph where some topic is discussed, you can go scroll through semantic links to videos that describe the same thing, but in other words. Thus, you end up studying the issue from a variety of different angles, from many different points of view and have a better chance of seeing the whole picture.

We are all unique. We all perceive information individually. Kalpagrama helps to harmoniously combine all the respective points of view without exception. The functionality of the system makes it possible for each person to study the relevant issue from different angles.

Integral knowledge is the experience that a person accumulates throughout his or her life. Sometimes only one piece of the puzzle is missing that provides a complete picture; and when it is found, we see suddenly a whole new image arise from the fragmentary data. Kalpagrama intends to provide such an opportunity to obtain all-in-one knowledge in a short time.

It is often the case that we reject the opinions of other people just because our take on the world is lacking the necessary interconnections. And so it is, as the years go by, we remember old conversations where we perhaps denied something only to discover subsequently that we rushed to conclusions. Having the complete picture (the required number of links), a person is able to perceive new information differently. And so he or she is less inclined to get confused easily. Have you noticed how trolls operate when they write their disparaging comments? How easily they manage to discredit information, create a kind of virtual chaos and ultimately undermine a person?

Kalpagrama provides an opportunity to transform these kind of virtual conflicts into mutual understanding through the adoption of different points of view. This should surely result in a more tolerant society where conflicts are less heated and are resolved more quickly. In order to reach an agreement, we all need a platform where everyone is equal, where there are no arbiters and experts and where transparent rules apply. And then it becomes obvious to everyone that people are talking about the same thing but in different words.

Kalpagrama is designed in such a way that each user contributes to the development of a particular meaning. Users extract intrinsic meanings from content by creating semantic nodes. The intrinsic meaning is a distillation of the semantic essence itself, written in any formal language.

A semantic node is a construct consisting of an image (a fragment from a video, a book, etc.) and a text annotation (an interpretation of the image). The semantic core reveals the essence of the image with some accuracy and is a subjective interpretation of the essence by the user. In Kalpagrama, the semantic core is the elementary operational unit.

The content from which the semantic node is extracted can be presented in any form: photos, videos, audio records, texts.

The community can vote on how the content extracted from the content corresponds to the meaning specified by the user. More details on voting are provided later on.

If you have a more appropriate meaning for this content, you can add it. Kalpagrama provides each user with the opportunity to add their own meaning, and the community will vote on the ranking of the relevant intrinsic meanings.

The reverse action is also possible. That is, for each intrinsic meaning, you can add your own content.

Each time an content or intrinsic meaning is added, a new semantic node is created on which the community can vote.

By voting for a semantic node, users answer the question: “how far from the semantic node is the intrinsic meaning found?” This is how a collective assessment (score) of the accuracy of the semantic node is formed, how accurately and succinctly the node (the combination of “content + intrinsic meaning (text annotation)”) reveals the essence being described. The higher the score, the higher the semantic core moves up in the ranking, thus making it possible for users to see the most accurate intrinsic meanings and content.

Voting in Kalpagrama is different from ‘likes’. ‘Liking’ a video about, say, a war might seem inappropriate. But what if it carries an important meaning for the community? Millions of people could end up watching the said video and according to the way the social network algorithms work, the only way for the content to be ranked higher in web feeds is by assigning ‘likes’. Thus, the user is initially thrown into a difficult moral and ethical situation. A ‘like’ is indicative of the social media user’s emotion or support for some author or cause. There are no ‘likes’ in Kalpagrama. There is instead an assessment of closeness to the essence of meaning, obtained through voting on a scale from zero to one.

Emojis are used instead to indicate that a meaning is thought to be close to its real essence. Emojis in Kalpagrama also amount to some kind of expression of emotion, written as a symbol formally. If the user puts an emoji on the core, then he or she strengthens the link between the meaning of the core and the meaning of the emoji. You can use memes the same way.

You can refute a fake by attaching a refutation link to the semantic node, where the opposite statement is argued.

Thus, you can not only vote against this particular meaning, but also substantiate your point of view. When people vote for your refutation, the original fake will go down in terms of ranking. The author of the refutation will receive income not only from those who voted for his or her link, but also from those who voted for the original fake.

In addition to semantic nodes and semantic links, the system also contains more complex structures, semantic blocks. Read more about semantic blocks in the user manual.

With Kalpagrama, each semantic node is technically a smart contract, and voting is a method of operationalizing this smart contract. The weight of the semantic node is calculated according to the formula determined by the smart contract.

Voting in the system is aimed at assessing the quality of semantic nodes created by users. The community has the right to support the author’s semantic nodes or refute it. Now no one can hide reliable information. This blockchain is public and anyone can check the voting history.

Voting takes into account the rating (weight) of the voter which depends on his or her recognition in the community. This can be called the power of the user’s voting. User rating is not an integral characteristic. It is decomposed into competency vectors.

Not all voting processes are free. At the very least, you will have to pay a transaction fee on the blockchain. If the voting power you have earned in the system is not significant enough, then you can attach some amount of money to the transaction that will make your vote more significant. At the same time, you should clearly understand where this money will go.

First, you defend the truth. Secondly, you will support the authors of meanings who fought for the truth by your side. They can support you in the same way. The money invested in the voting process will accumulate for some time on the meanings that are present in the cores. Relatively speaking, once a week, according to a transparent formula, the authors of semantic nodes and content who have made the greatest contribution to the development of this meaning will be determined, and this money will be distributed among them. Thus, the community can function as a custodian for the development of those meanings that are of particular interest at that point in time.

Let us briefly sum up this discussion. When working with the system, users are motivated and invest in the development of meanings. Part of the fund is distributed between the author of the content (in this case, the authorship must be confirmed by NFTs) and the author of the semantic node. The other part is accumulated on the smart contract relating to this meaning. Furthermore, once a week, the accumulated funds are paid to those authors who have developed more meanings than others.

The minimum amount for voting is the price of “gas” to complete a transaction in the system (at a fraction of the cost).
We consider the scheme of money movement described here to be fair for it is not speculative. In fact, users pay for what they are interested in, for what they would like to see developed, what they would like to know more about. This happens in a gamified manner and according to transparent rules.

The development of meanings will inevitably lead to associations of users around polar points of view. Users can form communities (DAOs) in order to develop topics of interest together. Users can delegate their contributions in certain meanings to the community, which will make it possible for them to team up in receiving distributed funds. Funds from the distribution will go to the community account that will be collectively managed by community members.

DAO members can determine by voting where the funds on their balance will go. This will enable them to not only distribute incomes, but also to invest in the development of their common cause, hire employees, finance projects, research, initiatives, etc.

If you are an author, you can team up with like-minded people and jointly develop both certain areas of science and any other topics. The profit is still distributed transparently according to your (creative) contribution to the common cause. The mechanics described above gives an understanding of how the value of creative contribution can be estimated.

Along with DAOs that create content, you can create DAOs that reveal meanings. Their activity is similar to the work of an investment pool, where you delegate your money to the pool, and they subsequently distribute the profit according to the contribution of the members.

Thus, for example, if you do not have the gift of the gab, but agree with someone who can carefully frame what you want to say, then, instead of creating semantic nodes, you invest money that accumulates on meanings. If the meaning-revealing DAOs you invested in win in the distribution of prize funds from the meanings, then you make a profit. When creating such DAOs, the meanings that they are designed to develop are indicated. By investing, you encourage these DAOs to keep going and make profit if the meanings they create are good enough.

You can also create voting DAOs. Here, you delegate not money, but your voice. If you trust a particular DAO and agree on how it votes, then you are investing your vote in it. Hackers and opinion-manipulators no longer need to create armies of bots.

Communities can not only earn through the creation of content and semantic nodes, but also carry out any activity outside of Kalpagrama. In this case, Kalpagrama is simply a platform where such organizations are represented publicly.

Universal DAOs are a convenient tool for those who want not only to unite according to their interests, but also to build a working business.

In Kalpagrama, users get free access to structured information which is highly reliable, as confirmed in the blockchain.

By voting, users support the development of meanings, authors of semantic nodes and authors of content. Funds received for the meanings are accumulated in the prize funds of these meanings and distributed once a week among the authors of the nodes who have made the greatest total contribution to the development of a particular meaning.

Thus, it is society exclusively that becomes the custodian of the content and meanings relevant to it. No one can hand down trends and impose them on society. Society itself becomes the arbiter mentioned in the introduction.

Authors of semantic nodes are interested in creating high-quality nodes that are of interest to the community at that point in time. The referral system will allow you to receive significant income by posting snippets of semantic nodes in classic social networks. In addition, if the content used in this semantic node is purchased using this referral link, then the author of the node will receive a commission fee.

You can use your semantic node to refute or confirm other nodes. Thus, if your semantic node is stronger, then your contribution will be recognized as more significant, and you will take part in the distribution of the prize fund of this meaning.

Your semantic nodes and links are your personal workshop (this is a subset of the global knowledge graph). You can reuse semantic nodes from your workshop to create new links and meaning blocks.

Content authors in Kalpagrama receive a platform where their content is parsed into many meanings and ample opportunities are created for its distribution. Thanks to prize rewards and the referral system, the authors of semantic nodes are interested in distributing them on the Web, as well as their content. Thus, the only thing an author has to do is provide high-quality content without regard to its promotion. Authors do not need to invest in their content and its promotion. The main criterion for content is its quality. Content does not become outdated since the system is focused on meanings. You can find new meanings in old content. Authors no longer need to release a new video “on the same thing” every day to stay the course. Anyone can buy your content and start parsing it into meanings. Meanings are free, but in order to view all the content in its entirety, one needs to pay (that is of course assuming you decide that your content should be paid for). Content authorship is confirmed using NFTs. The community can also fund content authors directly with donations. Kalpagrama is designed to work with various types of content (videos, books, audio records, images).

Your content cannot be deleted, and your account cannot be blocked (even theoretically). The blockchain guarantees this.

Bloggers get the same benefits as content authors. In addition, we invite those who are interested in the idea to cooperate. We invite bloggers to become ambassadors of the Kalpagrama project on mutually beneficial terms. See tokenomics below for more details.

The content is highly formalized. No social component. The community is not involved in assessing the credibility of the facts. A very small percentage of people create and edit its content. Problems with objectiveness.

Videos only. There are no links within the content, only a relevant collection according based on algorithms. Poor comment system. Statistical manipulation. Limited functionality for interaction between users.

Short videos are in priority. Rigid recommendation system. The functionality of tags is not calculated in an effective way. The content is grouped only by authors (the “blogger-subscribers” format).

Focus on text format. Censorship.

Desktop application only. No social component. Focus on text notes.

Monetary motivation and a pyramidal model of earnings. The rating is pegged against the number of coins, and those with most coins reap all the bonuses tied to the the system. The algorithms embedded in the system has resulted in the audience comprising mostly bots.
They make transactions solely for profit (high-frequency trading). The content format includes articles only.

A simple paid blogging model. It is interesting only for major content makers with a large audience in common social networks. Low motivation for consumers (all content is paid and closed). Most of the content appears to derive from plagiarism. When you buy it, you don’t see what you are buying. Ton is still underdeveloped and remains under development. It is not a Web3.0 project (just a cryptocurrency payment). It does not provide any advantages over services like Patreon.

The problem of the majority of them is that they have ended their existence or have not received wide support (“Everipedia” is an exception, but its functionality does not go beyond the usual “Wikipedia”). The above solutions do not have trademarks of their own. The features are the same as in common social networks, but slower and often paid-for. Difficult customization for users.

The lack of novelty and uniqueness is the main problem of all the above solutions. They only solve the issue of decentralization and privacy, but for the vast majority of users, the list of their advantages is not long enough to overcome the complexity threshold that Web 3.0 accounts for even in the current (at the beginning of 2022) market conditions.