LLoreMs Building Decentralized On-Chain Narratives

LoreMs Empowering Decentralized On-Chain Storytelling in Building

①The consensus narrative of the real world is breaking, especially the traditional Internet.

②Decentralized storytelling is a basic public resource generated by autonomous worlds.

③Autonomous worlds can become a community that brings decentralized storytelling resources and their public value into the real world.

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If you ask me about my views on the autonomous world, I definitely think it leans more towards the overlap of engineering and philosophical problems.

Engineering, especially the combinatory engineering of physics, mathematics, and computers, has constructed the physical foundation of this world. Everything is surrounded by rules, just as the rules in the on-chain world are formulated by smart contracts, and we adhere to Newton’s second law and the law of universal gravitation, which are fundamental laws.

Building a story of an on-chain world requires the support of these laws. On-chain, we also create or transform the world based on rules and act within the boundaries imposed by these rules.

Of course, for more worldview content about the autonomous world @autonomousworld, you can check out my article from early August titled “Will DAW (Decentralized Autonomous World) be the Next Narration of the Whole Chain?”. The link is at the bottom.

This article is based on the articles “Large Lore Models” by dmstfctn @dmstfctn, Eva Jäger @eva33313, and Alasdair Milne @aldmilne. It expresses their views on the autonomous world N1 at that time. My personal thoughts are also mixed in, but they do not constitute investment advice.

Empowering the Real World with Autonomous Worlds

The consensus narrative of the real world is breaking, which is already evident in everyday life within the traditional internet.

We can observe that effective consensus is increasingly rare in today’s social networks on the traditional internet. Even accepted facts are fiercely disputed, making it difficult to verify the events themselves.

As for tracing the origins of events, we will find that the basic records of any event are currently concentrated in a hierarchical infrastructure similar to surveillance. To verify and dispute further, it becomes dependent on the level, access privileges, and control of the fact-checker.

Our public resources are being occupied, monopolized, and even tampered with. This is why the importance of advocating for autonomous worlds exists.

As a new type of infrastructure for generating public resources, they have the potential to make decentralized storytelling a public resource. At the same time, autonomous worlds can become a community that brings the resources of this decentralized storytelling and their public value into the real world.

Autonomous Knowledge Commons

Before continuing with specific measures, we need to understand one concept: what is an Autonomous Knowledge Commons?

Autonomous Knowledge Sharing: ① Providing decentralized access to narrative creation tools, ② linking events through permanent records, ③ capable of being redeployed elsewhere.

By building autonomous knowledge sharing, we can output programs or knowledge in a narrative format to the real world. Similarly, autonomous knowledge sharing can become a new space for new consensus reality construction experiments or gain new shared narratives from blockchain-based games.

An autonomous world possesses the elements and potential to become “autonomous knowledge sharing,” introducing decentralized narratives into the real world.

A new upper-layer module, the “Large-scale Knowledge Model” (LLoreM) plugin, is proposed here.

The role of LLoreM is:

① Facilitate collective and decentralized narrative construction, explicitly linked to on-chain records;

② Provide an interface for linking the on-chain world with the real world in a timely manner.

In other words, LLoreM realizes a collectively constructed consensus reality, but this reality is still generated and governed collectively. Its role is to transform originally unordered narratives into task-driven communities. We will discuss this in more detail later in the text.

Lore Generation of Knowledge

The translation of “Lore Generation” might not be very accurate, but “Legend Generation” sounds even stranger, so we translate “Lore Generation” to “Knowledge Generation” here.

Let’s take an example to explain what “Knowledge Generation” means.

Now, let’s play a game called “I bought… at the supermarket.” The rule is: each person takes turns to add an item, and the quantity of the purchased item increases by one each time.

So this story quickly becomes: “I bought one egg, two pancakes, three cans of beer, four packs of chewing gum, five spring onions, six condoms, seven cans of powdered milk…” and so on.

For children, the fun of this game lies in the balance between individual memory and the confusion of other players’ memories. Players must keep engagement and entertainment by listing uncommon, surreal, or offensive items, such as the vulgar combination of “six condoms + seven cans of powdered milk” in the example above.

Although the resulting narrative is collectively owned, the quality of each generated knowledge depends on the specific circumstances of individual players, such as inside jokes known only to a few or shared language systems.

Here, we define “knowledge” as: a dispersed, accumulated narrative.

“Knowledge Generation” is used to describe the program (whether in the game or other environments) that generates this dispersed narrative. The tangible tool used for this purpose can be called a “knowledge” generator.

The reason why “knowledge” generation is important is that it serves as a means to create claims in a suspended context, which can be disputed as needed in the future.

It transforms the creation of narratives into a gamified process, turning it into something that is collectively built between players, much like a shopping list of items purchased at a supermarket.

However, if the “ledger” of purchased items is not recorded at the end of the game, then the shared experience of the players along with the generated narrative will disappear. Even if a player keeps a record of the ledger or creates a hard narrative boundary through digital consensus on the blockchain, it lacks reliability because there is no agreed-upon protocol to record and verify the generated narrative.

Therefore, we need a system and interface that are collectively recognized—a system known as LLoreM that can generate a dual ledger to record and verify knowledge claims that are tamper-proof.

Large Lore Models (LLoreM)

LLoreM is a collaborative writing plugin that attaches to the “host” of the blockchain game, turning it into what Moving Castles calls a “narrative engine.”

It is essentially a knowledge generator, but conceptually, it has additional design specifications aimed at addressing certain understanding issues related to the real world. In addition to on-chain transactions that record player actions, the game includes a “sub-ledger.”

The writing in the sub-ledger must correspond to a block on the blockchain, but the knowledge written by players itself is non-programmatic.

The purpose of this design is to maximize the use of the immutability of the blockchain while preserving the inherent variability of human storytelling (the contensiousness of narratives), combining subjective testimonials with indisputable actions on each block.

As an interface, the sub-ledger provides players and observers with the opportunity to access and utilize the blockchain ledger, offering players a chance to organize or reflect on their actions and providing observers with background information beyond the list of actions.

The sub-ledger remains contentious: this is a core part of the design and reflects the need for subjective consensus when attempting to generate collective knowledge. Any disputes in this stage happen against the backdrop of real-world blockchains.

There is further potential to enhance interoperability: If multiple blockchain games run on a shared blockchain ledger and players use a single identity for gaming, LLoreM can triangulate between different games by locating players’ activities on the ledger, enabling “cross-dimensional” narratives as players move between autonomous worlds.

Conversely, a knowledge iteration can be replayed in another game, aligning the knowledge from the sub-ledger with the blockchain to create an iterative meta-fiction.

Through the specific functionalities woven into the on-chain world, LLoreM provides an infrastructure for autonomous worlds to become autonomous knowledge communities.

Connecting narrative elements with specific, decentralized events in the ledger’s fixed order makes events more transparent and perceptible.

Reference: ①Large Lore Models – https://aw.network/posts/large-lore-models

②Composable Engineering – https://aw.network/posts/composable-engineering

③Will DAW (Decentralized Autonomous World) be the next blockchain narrative? – https://twitter.com/ArrowCrypto_eth/status/1690943472264458241https://h/status/1690943472264458241

 

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