Vision Paper
Evolving ASM: The Metaverse AI Protocol

Introduction: Evolving a Cohesive AI Ecosystem in the Open Metaverse

In the era of rising AI prominence and the heightened recognition of the convergence of AI and web3 technologies, Altered State Machine (ASM) stands as more relevant today than it did when our journey began five years ago.

As autonomous agents take center stage to become the primary “user” in the open metaverse, we find ourselves at the forefront of a transformative moment. With the broader global tech community acknowledging the power of our ideas, we are prepared to unveil the next phase of our vision.

From the inception, we envisioned a landscape where intelligence would be a fundamental element in shaping every customer experience. A realm where AI seamlessly integrated into every application and world one encountered. Anchored in this vision, we recognized that fostering an ownership economy of AI would be pivotal for crafting a superior internet—one that prioritizes the value of individuals and communities.

Our core belief continues to be validated - that individual and community ownership of AI will amplify personalization and customization, bolster data privacy and security, foster human imagination and empowerment, and will contribute to the overarching decentralization of power. Additionally, this ownership paradigm will play a crucial role in advancing ethical AI practices, promoting principles of fairness, transparency, and accountability.

We've long held the belief that the internet's evolution would bring about significant changes in our user experiences. A shift toward immersive experiences would begin, and the traditional flat web would gradually disappear. Envisioning an immersive web landscape, we anticipated that the pervasive presence of AI agents and digital twins would revolutionize user experiences.

That time has come.

The rise of Large Language Models (LLMs) has redefined how consumers engage with digital intelligence, sparking an explosion of use cases and opening the floodgates for the hype of AI to overpower the narrative of the metaverse. We maintain a fundamental belief though that they are interconnected facets of the same transformative coin.

You cannot simultaneously believe in the power that Generative Pre-Trained Transformers (GPTs) and LLMs are putting in the hands of everyday users to generate new applications, content, games, music and more, without believing that the internet as a result will become a more interactive and immersive place. Where else will the infinite scale of AI generated content live if not in the metaverse?

This update to the ASM vision and protocol builds upon the foundational principles of ownership, interoperability, and composability. It seamlessly integrates our accumulated insights and advancements in AI technology, reinforcing ASM's leadership position at the crossroads of AI, web3, and the expansive realms of the open metaverse. Allow us to detail the evolution of ASM into The Metaverse AI Protocol.

ASM 1.0: Ownership, Interoperability and Composability for AI in Web3

In our original whitepaper and the ASM patent now granted by the USPO, we outlined three core features that were important to the vision of AI in the open metaverse.

1. Ownership

One of the core functions of the patent and the protocol was the idea that NFTs or wallets could “own” an AI, thereby making it transferable or tradable. The extent of ownership and the execution of this concept would be contingent upon the specific AI model and the associated infrastructure.

For instance, ownership could manifest as having control over an ONNX, securely stored in a decentralized manner and encrypted to grant access upon NFT ownership. Alternatively, ownership might entail possessing an NFT with the capability to access an agent profile within a community-hosted or cloud-hosted model.

Given the emergence of pre-trained models like ChatGPT and advancements in compressing file storage requirements, users and communities of LLMs can harness these technological innovations to achieve similar outcomes.

2. Interoperability

The second pillar of our innovation involves recognizing that in a vast universe of agents that are transferable between applications, interoperability must be a core feature.

Frequently, attempts to address the challenges of interoperability result in constraints that limit diversity, creating a lowest common denominator effect. To safeguard diversity and allow for the existence of millions of unique agents without compromising interoperability, we devised a novel solution.

Enter the Genome Matrix, the central innovation addressing this challenge. This matrix offers a mechanism for diverse AI models to “understand” the same user agent in a consistent manner.

In practical terms, games and experiences could recognize that an agent thriving in one environment possessed strength and speed. They could then replicate these attributes within their own context, creating the illusion that there is a singular, unified AI comprehending the user's avatar consistently across various environments, regardless of the application's originator.

With the rise of LLMs, the proliferation of specialized LLMs, and the continuous growth of pre-trained generative models, the scope of this challenge has significantly increased presenting an even more compelling opportunity for ASM to address these issues.

To tackle the challenges posed by this evolving technology landscape, the ASM Protocol and patent portfolio have undergone substantial expansion in the past year. This expansion encompasses not only a continuation of the original idea to accommodate the diverse use cases presented by LLMs but also introduces a novel matrix – The Murmur Matrix. This matrix stands as the key to unlocking interoperability for the new generation of AIs. Further details on these advancements will be elaborated upon later.

3. Composability

The final concept covered by the ASM Protocol revolves around the notion of compatibility. Recognizing the diversity of specialized AI models, each excelling in different domains, the ASM team acknowledged the necessity of uniting them for a more seamless user experience. Central to resolving this challenge is the memory tree, a pivotal component in the ASM Protocol. Through their NFT, users can transport a collection of skills and experiences across applications, allowing these applications to amalgamate these capabilities to generate innovative outcomes.

Imagine an AI proficient in music composition seamlessly collaborating with another AI adept at animating characters, synchronizing their movements with the musical rhythm. This goes beyond being a “cool” feature; it exemplifies the need for AI systems to harmonize, effectively communicating and collaborating to create a technological symphony where each element enhances the others.

LLMs can contribute to this harmony by serving as a UX layer that comprehends language and code, interfacing with multiple models to deliver tailored outcomes for users. However, pre-trained models encounter challenges in staying up-to-date with the rapidly evolving world of software and culture. Here enters The Murmur Matrix – a solution that not only enables compatibility but also introduces a transformative perspective on how we perceive "memories" within the ASM Protocol.

ASM 2.0: Intelligence and Content Creation in the Immersive Web

Futureverse assimilated ASM in early 2023, and since then, we've expanded our team to establish a world-class innovation and research group. Building upon the foundational ideas of ASM, we've ventured into new territories, developing novel models tailored for the open metaverse. These models focus on areas such as generative music and 3D game models. You can explore some of our groundbreaking research here.

ASM is now a part of a broader team dedicated to solving core issues within the open metaverse such as content interoperability, web3 user experience, identity, and user data ownership. This holistic approach has provided us with a comprehensive understanding of the nuanced requirements for seamlessly integrating AI into interoperable content creation and activation.

Distinguished by our commitment to advancing technology across web3 infrastructure, digital identity, data ownership and sharing, asset interoperability, 3D pipelines, generative 3D, and gaming, we hold a unique perspective on the intricate interconnectivity of these elements. Futureverse is merging the capabilities of Sylo, ASM, and The Root Network to amplify our vision for AI in the open metaverse.

Introducing The Murmur Matrix

The Murmur Matrix is a revolutionary system that empowers AI to comprehend 3D objects, avatars, and spaces. It facilitates the storage of events and interactions in 3D environments as long-term contextual memories that can propagate through contact, fostering shared consensus around knowledge and activities.

It’s all in the name. The term "murmur" in the context of The Murmur Matrix draws inspiration from the subtle, continuous, and often imperceptible sounds or vibrations associated with physical brains, specifically the circulatory system within the brain. In science, a "murmur" often refers to a soft, continuous sound, like the flow of blood through blood vessels. This rhythmic and constant flow is analogous to the continuous exchange and processing of information within The Murmur Matrix.

By naming it The Murmur Matrix, we aim to convey the notion of a continuous, nuanced exchange of information, much like the subtle but persistent murmurs within a physical brain. The term encapsulates the dynamic and ever-present nature of the data, interactions, and relationships stored within this innovative system, drawing a parallel to the intricate workings of the human brain. Murmurs are reinforced over time to become stronger nodes in the network just like in the human brain, creating a much more humanlike experience for memories.

Murmurs help keep content in the open metaverse alive, evolving based on their interactions, environments, and the decisions that are made by the communities they touch.

The Murmur Matrix serves as the potentiator for ASM 2.0, expanding upon the foundational principles of ownership, interoperability, and composability that laid the groundwork for our journey.

Built upon the existing ASM patent, the concepts embedded in The Murmur Matrix encompass both original ASM patent continuations and numerous new patent pending applications and continuations filed over the past few years.

This innovative protocol and system represent a world-first achievement developed over the course of the last year, empowering LLMs to:

  1. Grant users ownership of inputs and outputs within the models.
  2. Comprehend spatial computing environments.
  3. Understand the functions, properties, personality, and location of 3D assets.
  4. Grasp long-term contextual information.
  5. Maintain persistent, transferrable, interoperable "memories."
  6. Deliver a consistent user experience and ensure interoperability among different LLMs.
  7. Facilitate developers in composing outcomes across various models that feel familiar to users, creating an interaction akin to engaging with a unified general intelligence.
  8. Enable adaptive storytelling by weaving dynamic environmental and object narratives.

The Murmur Matrix possesses spatial awareness, enabling it to make LLM agents cognizant of their virtual surroundings.

The ASM Protocol serves as a cornerstone of our strategic approach, addressing critical challenges such as interoperability and enriching the depth and realism of AI interactions. This facilitates the creation of unique, evolving experiences that are emotionally resonant and contextually meaningful on a large scale.

At the heart of our protocol, The Murmur Matrix plays a pivotal role in enabling AI agents to seamlessly operate across diverse metaverse environments, ensuring a sense of unified intelligence and delivering interoperability. Building upon concepts from ASM 1.0, such as the Genome Matrix and Memory Tree, The Murmur Matrix enhances the realism and contextual awareness of Non-Player Characters' (NPCs) memories for events, actions, and achievements.

This advancement enables NPCs and hybrid player agents to better comprehend and adapt to assets, environments, and other characters, resulting in more immersive and realistic experiences. The depth of interaction, coupled with the diversity of agents facilitated by the Genome Matrix, is essential for creating an engaging metaverse.

Moreover, The Murmur Matrix empowers users by providing greater control over their interactions with AI agents. Users can customize agent filters and adjust AI behaviors to align with individual preferences or cultural values. This customization and user control significantly contribute to heightened user agency and satisfaction within the metaverse.

Designed for effective scalability at a low cost, The Murmur Matrix seamlessly integrates with hosted, client-side, or decentralized AI infrastructure.

By amalgamating the ASM Protocol, Genome Matrix, Memory Tree, Asset Register, The Murmur Matrix, and innovative GPT models, we have crafted the most comprehensive and future-proof end-to-end solution for AI in the open metaverse – ASM 2.0.

How The Murmur Matrix Works

Like all effective protocols, and reminiscent of the original ASM Protocol, the concept is elegantly simple and adaptable to numerous use cases.

To instill awareness in AI regarding its surroundings, we assign a Murmur to any asset—be it an avatar character, NPC, wearable, consumable, environment, or location, among other examples.

In essence, a Murmur is an evolution of the Genome Matrix concept. However, instead of random noise data, The Murmur's data card, called The Murmur Card, follows a specific, standardized format containing information that the asset provides to the AI during interactions. This card data contributes to the pretext of the prompt, factoring in the distance between the asset and the agent, with a designated level of importance. Each card also includes a field to declare interactions with other assets.

Each Murmur possesses the capability to record interactions with other assets, constructing a dynamic, interconnected web of relationships and histories. This not only facilitates a nuanced understanding of the virtual world but also fosters the development of intricate, emergent behaviors and narratives as AIs navigate their environment, influenced by layers of surrounding metadata.

This functionality enables objects, assets, and characters to attain a profound comprehension of their surroundings. For instance, objects might acquire traits from prolonged exposure to specific settings, such as becoming toxic if left in a hazardous environment and this in turn could effect another asset.

As objects, avatars, and environments frequently interact, the murmurs between them strengthen, creating robust centralities and sharing more history and context. This establishes a data ecosystem beneath ownership and composability, forming an opaque layer that evolves and validates the primary spatial understanding of the metaverse collectively based on the actions chosen by the collective.

Matrix Modes: Space Matrix, Event Matrix, Ubiquitous Matrix

The Murmur Matrix approach can operate in three distinct modes and work with 2D or 3D space (Space Matrix), event triggers (Event Matrix), or with persistent information (Ubiquitous Matrix).

  • Space Matrix: Information is transmitted to the AI based on proximity in either a 2D or 3D space. For instance, in an open-world game, character movement prompts information presentation based on their surroundings. This creates an immersive experience akin to "feeling a vibe" in the environment. Closer interactions evoke stronger sensations, influencing feelings of strength, agility, excitement, or even reflecting a brand's values.
  • Event Matrix: Information is relayed to the AI upon an event trigger, such as a button click, user selection, or interaction with an object.
  • Ubiquitous Matrix: Information conveyed to the AI persists over time, representing the character's knowledge or memories. For example, in two different games or apps with distinct underlying LLMs, if the avatar remains constant, each application comprehends the same history, backstory, and achievements associated with the avatar.

Components of The Murmur Matrix:

  • User: Refers to the player, app user, or another application agent or smart contract interacting with both the experience and the AI.
  • AI: Represents the specific model engaged in interaction within the matrix.
  • Avatars: Digital representations embodying users or characters within the virtual environment. Avatars play a crucial role in shaping interactions and experiences.
  • Props: Denotes assets in the app or game containing a Murmur Card, transmitting information to both the AI and the user. For instance, a chest in a game or a can in a vending machine.
  • Areas: Similar to props, these regions have their own Murmur Card, but instead of specific objects, they encompass broader spaces. An example would be an area of a map or game where the player or the AI acquires specific properties.

The Murmur Card:

The Murmur Card is a structured and organized collection of information that defines various aspects of an asset within The Murmur Matrix framework. This card contains details about the asset: a comprehensive profile or set of attributes that contributes to the overall representation and behavior of the asset in The Murmur Matrix system.

This card is comprised of three distinct levels of data:

  • Intrinsic information: This pertains to constant information inherent in the asset, such as a description of the object or general details transmitted to the AI.
  • Dynamic information: Refers to information that can be added or modified by the user or the asset's owner within The Murmur Card.
  • Event/Interaction information: Encompasses details about how the asset interacts with other assets and the outcomes transmitted to the player and AI during those interactions or events. For instance, consider a chest with a hidden treasure that requires a key for opening. The intrinsic information includes the chest's exterior details, while the event/interaction information reveals the hidden content only when a key interacts with it.

Format of The Murmur Card:

  • Display Name: Identifies the asset by name.
  • UID: Represents a constant, unique identifier for each specific asset.
  • Keywords: Core descriptive terms associated with the asset, potentially utilized in the long-term memory system.
  • Importance: Assigns a priority factor to the asset, allowing the chatbot to prioritize information accordingly.
  • Content: Encompasses intrinsic information, serving as the primary description of the asset.
  • Dynamic Content: Refers to information that can be conveyed to the asset either by the user or the chatbot.
  • Deep Content: Involves interaction information linking assets, with each linked asset having its own substructure:
    • UID: The unique identifier of the linked asset.
    • Rule: Specifies conditions for interaction between the two assets (e.g., proximity closer than 1m or overlapping).
    • Action: Describes the information transmitted to the AI when the rule is met (e.g., chest opens, note appears with the location of a rare weapon).
    • Counter: Indicates the number of times the event can occur. If it reaches 0, the event ceases. If set to -1, the event can occur indefinitely.
  • Restrictive Prompting: Serves as a crucial mechanism for maintaining balance and narrative consistency by imposing limitations.

The Murmur Matrix can be implemented in various ways, utilizing the ASM Protocol's core to store Murmurs as memories within an ASM Genome Matrix. This approach decentralizes Murmurs, allowing users to own and transport them between applications while benefiting from the advantages of the foundational Genome Data.

For instance, we've devised a system that extracts emotions and personality from the Genome Matrix, akin to extracting other characteristics like speed or strength. This proves particularly beneficial for interactions in the matrix, particularly when engaging with LLMs.

In essence, The Murmur Matrix empowers objects, wearables, weapons, locations, areas, characters, vehicles, and more to exhibit intelligence, fostering increased interoperability across a broader spectrum of AI models and functions.

What about B.R.A.I.N.S.?

We are vocal champions of decentralized intelligence due to its significant potential to empower individuals and communities while fostering transparency. Distributing control of AI through decentralized systems, in the form of Non-Fungible Intelligence as we’ve coined it, places authority directly in the hands of users, ensuring a more democratic and inclusive AI landscape. We believe this is mission critical for the next evolution of the internet.

This shift aims to reduce the concentration of power in a few entities, thereby mitigating risks associated with centralized control. The evolution of LLMs and the characteristics of pre-trained models are shaping a landscape in which the significance of AI lies in the context provided. Without this context, GPTs function as inert machines, oblivious to the current state of the world. Now, individuals have the ability to easily access local LLMs, receiving the benefits provided by big tech’s hosted models.

The Murmur Matrix establishes a platform that delivers essential elements for making intelligence both relevant and personal, allowing for ownership and portability. By encapsulating AI functionalities into digital assets, individuals gain control and ownership of their AI experiences, regardless of the model's origin or hosting location. As time progresses, the significance of your data surpasses that of the models themselves.

Since the inception of ASM, the B.R.A.I.N. has served as both the visual embodiment of an agent's intelligence and the technical conduit through which memories are materialized via embedded machine learning.

A B.R.A.I.N. stands as a distinctive possession of a human (a digital asset that a user owns), operating through artificial intelligence: Biologically Responsive Artificially Intelligent Node. From our perspective, B.R.A.I.N.S. are individually owned nodes within an expansive and ever-growing neural system: Biologically Responsive Artificially Intelligent Neural System.

If you’d like a refresh on the original ASM whitepaper, you can do so here.

The core principle revolves around the B.R.A.I.N. serving as the repository for data that interacts with AI, shaping a unique experience tailored to that specific data. Initially, the focus of the genome matrix data was to instill diversity in an agent's skills, influencing the agent's learning trajectory and performance. In its evolution, the B.R.A.I.N. has gone beyond merely enhancing speed, strength, agility, and cunning, fostering a diverse and dynamic meta in virtual environments and gaming.

You can see this demonstrated in our AI-powered boxing game: Muhammad Ali — The Next Legends. However, this journey signifies just the initial phase. The B.R.A.I.N. has evolved further to encompass a spectrum of data that is crucial in determining how the user agent is perceived by an AI model.

Incorporating Emotion and Personality into a B.R.A.I.N.

During the initial Genome mapping, our primary focus was on the "physical" or "skill" attributes of a B.R.A.I.N., providing developers with a standardized method for assigning attributes across different AI models in a user-friendly manner.

As language models for AI advanced, we seized the opportunity to expand beyond skills and physical traits into the realms of personality and emotions, transitioning from the uncanny valley to more human-like digital twins.

To introduce an "emotional" dimension to this interoperability, we developed a system to extract emotional values directly from the Genome. Drawing inspiration from our "ASM Genesis B.R.A.I.N.," we innovatively associated colors with emotions, introducing a pioneering approach to digital asset customization and interaction.

Our system follows a common design strategy, linking each color to specific emotional connotations. However, it goes beyond simple color translation by converting the original color into a hexadecimal code. This code establishes a universal visual language for emotions within our digital experiences.

Incorporating the Genome Matrix adds complexity, enhancing the unpredictability of emotional layers derived from the color spectrum. Known as the Emotional Palette, this innovation significantly enriches the uniqueness of AI agents, providing a more personalized experience across gaming and other applications.

The Emotional Palette concept demonstrates our ability to elevate the uniqueness of user-owned AI agents across platforms. This mechanism, complemented by a Contextual Memory System, empowers AI to process information influenced by its emotional characteristics, impacting data retention and information weighting. Similarly, interactions with The Murmur Matrix objects are influenced, unveiling different aspects based on emotional alignments.

Connecting Intelligence to Content

An explosion of innovation in the generative AI domain has prompted the ASM team to explore numerous applications. However, our research has been specifically dedicated to two pivotal fields: generative music and generative 3D. We consider these areas crucial for our mission of fostering the creation of content in the open metaverse. When integrated with The Murmur Matrix, they collectively establish the foundation for AI-enabled gaming. While we introduce these innovations here, further details on this work will be presented in their own dedicated papers.

Introducing DOC and UBF

The Dynamic Object Creator (DOC) stands as your patent-pending AI creative assistant tailored for the open metaverse. Covering diverse approaches to generating 2D, 3D, and environmental content, DOC seamlessly integrates with Futureverse's patent-pending content interoperability standard, UBF (Universal Blueprint Framework), and the first tool built on this standard, DOT (Dynamic Object Transformer).

With DOC, users can effortlessly generate 3D objects, avatars, and environments. When coupled with DOT, these creations achieve interoperability across any engine or platform.

In a groundbreaking shift, DOC and UBF redefine content generation by addressing the challenges of traditional methods. This includes the problematic aspects of interoperability:

  • Transporting files around between applications is taxing on those applications.
  • Changes made in one application, for example adding a wearable item, aren't automatically reflected in another.
  • Different applications, engines, and platforms require different types, sizes, and/or resolutions of files.

UBF revolutionizes content representation by transitioning from a file-based to a metadata-based approach. This shift allows any item, character, environment, or wearable to be portrayed as metadata, dynamically assembled at runtime by any engine. Changes made in one application seamlessly translate to real-time rendering in another.

DOC can generate LODs for various games or platforms, guaranteeing backward compatibility with conventional file-based methods.

Transforming a text prompt into a game ready asset in minimal time.

The relevance to ASM becomes evident when merging these concepts with The Murmur Matrix. Now, any object, item, environment, or wearable is merely data for an engine to comprehend and render. This transforms everything in the metaverse into an intelligent "B.R.A.I.N"—a data container understood by LLMs, AI models, or game engines.

Stay tuned for more information on DOC, DOT, and UBF, including academic papers, whitepapers, and open standards submissions, to be released shortly.

B.R.A.I.N. Integration

Let’s draw an analogy from the intricate process of a human brain integrating with external stimuli or experiences to understand how this all comes together.

Sensory Input (Digital Assets)

In the physical world, humans integrate external stimuli through sensory input—seeing, hearing, touching, etc. In the digital realm, avatars, props, environments, and wearables serve as the sensory inputs, analogous to the sights, sounds, and objects encountered in the physical world.

Perception and Interpretation (The Murmur Matrix and Genome Matrix)

Just as the human brain processes and interprets sensory information, The Murmur Matrix and Genome Matrix act as the cognitive frameworks in the metaverse. They process the data associated with digital assets, assigning meaning, context, and interactivity to each element.

Formation of Memories (B.R.A.I.N.)

In the human brain, sensory experiences contribute to the formation of memories. Similarly, the B.R.A.I.N. framework represents the amalgamation of digital assets, converting them into intelligent, memory-laden nodes. Avatars and wearables, for instance, become dynamic memories within the metaverse.

Adaptive Learning and Interaction (Evolving ASM: The Metaverse AI Protocol)

Human brains adapt and learn from experiences. In our dynamic evolution of ASM into The Metaverse AI Protocol, digital assets evolve dynamically, responding to interactions, changes in the environment, and user experiences. This adaptive learning mirrors the way human cognition evolves based on ongoing interactions with the surroundings. The Murmur in The Murmur Matrix replicates this process as assets come into contact with each-other they can learn and adapt based on those interactions.

For a human brain to comprehend and respond to stimuli, it relies on a unified understanding of the environment. Similarly, The Murmur Matrix and Genome Matrix make digital assets comprehensible to AI models, game engines, and other systems within the metaverse. The integrated data allows for a holistic understanding of the virtual space.

Interconnected Networks (B.R.A.I.N.S.)

The interconnected nature of neurons in the human brain facilitates seamless communication. The B.R.A.I.N.S. concept denotes interconnected networks of intelligent digital assets within the metaverse. Avatars, props, environments, and wearables form a cohesive, interactive system, enhancing the overall user experience.

The significance of merging these concepts with The Murmur Matrix and Genome Matrix now becomes apparent. Every avatar, object, prop, environment, or wearable in the metaverse now becomes intricate data for engines to comprehend and render, transforming the virtual landscape into an intelligent "B.R.A.I.N."—a universally understandable data container for LLMs, AI models, or game engines.

In this metamorphosis, your avatar transcends its visual representation to become a “memory” residing inside your digital brain, and a seemingly ordinary digital shoe becomes an intelligent wearable, capable of storing skills and experiences.

Moreover, a B.R.A.I.N. has the capability to securely store your personal data, including information about your online interactions, and subsequently make these memories accessible to artificial intelligences, akin to the way they would be for an avatar. This enables individuals to transport their entire digital footprint seamlessly between LLMs, fostering a consistent user experience and dismantling the constraints imposed by walled gardens. Users now have the flexibility to own multiple B.R.A.I.N.S., each associated with distinct profiles tailored for various applications or social contexts. This encapsulates the realization of a long-envisioned personal data marketplace, now embodied within the framework of a B.R.A.I.N.

An intelligent B.R.A.I.N., driven by The Murmur Matrix, can organically evolve through interactions with other elements or agents. Each application leveraging these assets contributes to a shared and persistent view of reality, encapsulating, for the first time, the core essence of the metaverse: a unified, immersive, and persistent 3D virtual realm where individuals encounter life in unprecedented ways, surpassing the boundaries of the physical world.

The metaverse's potential is no longer confined by the scaling limitations of a single application or the number of individuals it can accommodate in an instance. By leveraging the persistent yet ever-evolving data layer, we unlock a new dimension of horizontal scaling of experiences, enriching the collective journey in the vast digital expanse.

Proof of Concept

Futureverse MurmurBot

To demonstrate the evolution of the ASM Protocol through The Murmur Matrix and showcase how its elements, including the all new Genomes, function within this innovative framework, Futureverse has been developing the Murmur chatbot—an LLM agent built on top of The Murmur Matrix.

In our POC we have a B.R.A.I.N. leveraging The Murmur Matrix composed of Intelligence, Forms, and Scenes in The Murmur Card data format:

Intelligence: Describes the personality, emotional palette, and knowledge of the character.

Form: Outlines the character's appearance, covering aspects such as outfit, age, shape, species, etc.

Scene: A novel attribute within the ASM protocol, providing details about the environment in which the conversation is occurring.

Interaction Framework:

In our proof of concept implementation, we've created a trifold framework to systematically categorize object interactions. This framework elucidates immediate interactions, subsequent feelings, and long-term effects resulting from consistent interactions of a similar nature.

  1. Object Archetypes: This category captures the fundamental nature of objects, devoid of specific nuances or characteristics. Examples include Rock, Plant, Water, Animal, Tool, Artifact, and Structure.
  2. Immediate Sentiments: This category encapsulates the immediate feelings, sensations, or interactions a user experiences upon encountering or interacting with an object. Examples encompass Curiosity (when encountering a new artifact), Comfort (in proximity to water), Wariness (near a wild animal), Excitement (upon discovering a tool), and Distrust (after an adverse animal encounter).
  3. Long-Term Behavioral Tendencies: Over time, consistent interactions and experiences with objects can shape the user's behavioral patterns, attitudes, and predispositions towards similar objects or situations in the future. Examples include Aquaphobia (resulting from multiple negative water encounters), Tool Mastery (developed through frequent positive tool interactions), Animal Affinity or Aversion (based on consistent positive or negative animal experiences), and Structural Curiosity (arising from frequent exploration of structures).

Preliminary tests demonstrate that the Emotional Palette enhances the emotional significance AI agents place on user interactions, particularly resonating with the agent's emotional dispositions. This leads to improved information retrieval and facilitates a deeper, more compassionate engagement, occasionally invoking nostalgia. Over time, this functionality fosters a more empathetic connection, elevating the overall user experience.

The Genome Matrix forms the bedrock for subjective digital storytelling, encoding not only factual attributes but also a spectrum of potential emotional and contextual significances. This allows AI entities to interpret assets in varied ways based on their unique experiences, objectives, and emotional states within the metaverse.

This innovative approach represents a substantial stride in personalizing AI agents, contributing to the development of a more nuanced and emotionally responsive AI.

Super Sizing ASTO Token Utility

In introducing a multitude of innovative concepts and substantially broadening the capabilities of the ASM patent portfolio through numerous continuations and new patents, we aimed to maintain the simplicity of the core ASM tokenomics while extending these ideas to amplify the utility of B.R.A.I.N.s and ASTO.

At the heart of ASM's tokenomics lie two fundamental principles: staking, which generates new B.R.A.I.N.s as memory containers, and fees paid for memory storage.

The advent of groundbreaking innovations like The Murmur Matrix, UBF, and DOC brings additional functionality to B.R.A.I.N.s, vastly expanding their range of applications. Now everything in the metaverse is a B.R.A.I.N.

This results in a significantly broader array of purposes for utilizing a B.R.A.I.N. and compelling reasons to store memories in the Memory Tree.

To leverage these new features, the ASM Genome Matrix will require an update to the standards, coupled with a migration of the core protocol to The Root Network. This move ensures a deeper integration with other elements of the infrastructure.

While the core economics of the ASM Protocol remain intact, these updates introduce infinitely more utility to the system.

Conclusion: The Heart of the Open Metaverse is ASM

With this ASM update, we affirm that Futureverse's acquisition has not diminished the role of AI in our vision for the open metaverse; rather, it has magnified it. We've expanded upon the foundational principles of ASM—ownership, interoperability, and composability—venturing into new domains.

This expansion is accompanied by a reinforcement of research capabilities through the addition of new scientists, new hardware and new partnerships.

The Murmur Matrix, combined with the Genome Matrix, represents the next evolution of these concepts, forming the groundwork for a universe of interoperable AI experiences. In this paradigm, ownership holds paramount importance, ensuring diverse experiences with predictable outcomes.

We've overcome the longstanding constraints hindering interoperability, creating a comprehensive system for an intelligent, spatial metaverse to thrive and fulfill the goal of a unified, immersive, persistent 3D virtual realm where individuals encounter life in manners beyond the possibilities of the physical world.

Having laid the foundation, we are now materializing these ideas in a range of new applications, demonstrating the power of this approach for others to emulate.

We eagerly anticipate accelerating the adoption of this technology and these ideas in the near future, collaborating with our partners and developers worldwide.