Prioritizing Humans Over Applications: MOI Founder Anantha Krishnan On ‘Context First’ Blockchain Approach

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During the interview with TechGraph, Anantha Krishnan, Founder Of MOI spoke about how its “context-first” blockchain approach and participant-centric network are helping to shape a tech-driven world that prioritizes human value and individualization, and how MOI’s Babylon Testnet is responding to the emerging metaverse.

Read the complete interview:

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TechGraph: Can you explain in more detail how MOI Technology implements the “context first” approach in the realm of blockchain/Web 3 and its relevance to the development of the Babylon testnet?

Anantha Krishnan: MOI is a foundationally novel solution that introduces contextual awareness as a fundamental technology. It is a pioneering blockchain ecosystem to supports the digital emerging environment by enabling a participant-centric approach and bringing the context and value of a user’s digital interaction to the forefront.

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MOI does this by introducing the idea of context, that is, the user’s digital footprint, securely and privately into computation and distributed networks thereby creating a new sustainable framework for the emerging digital society and metaverse. Our primary focus is prioritizing humans over applications, fostering equity, simplicity, and sustainability, in the current digital world.

Technically, MOI is composed of:

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  • A new context-aware compute machine (called Krish Machine) designed specifically for the digitally interacting world.
  • A new Layer 0 network framework called “Krama” is based on a revolutionary participant-centric ordering mechanism for distributed networks.
  • A new Layer 1 web3 protocol and public network built using.
  • A new compute machine specific to digital Interactions – An Interaction State Machine.
  • A new and efficient Byzantine fault tolerant consensus algorithm based on user’s context – PoXt (Proof of Context).
  • A new intelligent network data structure to store and manage participant’s multi-dimensional values (and states) – Tesseract.

The Baylon Testnet is the second and biggest testnet launch for the MOI ecosystem yet. As a publicly incentivized network, Babylon enhances the capabilities of Web3 World by offering increased security, flexibility, and scalability. By facilitating multi-dimensional digital asset management and logic execution through the PISA runtime, it provides a platform for seamless interactions, intelligent decision-making, and enhanced peer-to-peer communication.

Whether a developer, a tech enthusiast, or an industry expert, Babylon aims to provide a holistic infrastructure to build innovations and leverage the offerings of MOI.

TechGraph: How does MOI Technology utilize participants as a key element of computation to achieve “contextual computation” and what advantages does this approach offer over traditional methods?

Anantha Krishnan: MOI is the world’s first participant-centric peer-to-peer value network that allows users to foundationally own and manage all key aspects of a digital value network (identity, compute, storage, trust, and assets/values).

Through its innovative Proof-of-Context (PoXt) mechanism, MOI allows participants and the value of their digital interactions, personalized by them, to become a resource in the network. It is built to natively capture and evolve the user’s context in every step of their digital interaction.

Through the definition of context, we have foundationally introduced the participant as a new dimension for computation and as a unique resource for ordering and settlement in distributed networks.

We use this context of the participants in interaction along with network entropy to compassionately compute and enable the settlement of interactions and generate personalized value states with a high degree of security and scalability. This enables hyper-personalization, making MOI a sustainable blockchain ecosystem, eliminating the environmental impacts of a POW system, and the societal (capitalistic) impacts of a POS system.

With the new dimension of context in computation, MOI solves the foundational privacy, scalability, security, and interoperability problems plaguing the current web3 networks and blockchains simply and practically. We provide users the opportunity to foundationally own and control their digital experiences by enforcing their personal preferences of privacy, security, and trust in the digital transactions occurring within the ecosystem. Building a new digital order where the digital consumer defines their experiences — that’s what matters to us.

TechGraph: In what ways does the “context first” approach align with MOI Technology’s vision of creating an equitable, democratic, and sustainable future for the digitally interacting world?

Anantha Krishnan: From relying on our physical capabilities we have evolved into a digital era. Technology has become a part of our daily lives and we conduct diverse digital interactions through it in perpetuity. As we further advanced into this tech-driven future, a group of thinkers and visionaries banded together to ensure that the pervasiveness of technology did not overpower human value and personalization.

A network supporting digital society needed to be user-centric and MOI was a rigorous 5 years in the making result of this ideology. Integrating participants and context as a basic dimension of a peer-to-peer network, we have achieved true personalization and user ownership in a purely tech-focused global landscape.

TechGraph: How does MOI Technology ensure that the “context first” approach in blockchain and the Babylon testnet prioritizes humans’ needs over applications, and how does this contribute to a more user-centric technological landscape?

Anantha Krishnan: In MOI, the digital behavior and footprint of a participant become the primary network resource around which all capabilities of identity, storage, trust, and value are managed. This participant-centric digital behavior in a network is what we call ‘context’. To implement context, we have created:

Krama: A new class of ordering mechanism for distributed systems that implements a personalized network clock by leveraging the Context of a Participant.

PoXt: The first practical implementation of Krama, that equips Open Networks with virtualized Byzantine Fault Tolerance for hyper concurrent consensus.

Tesseract: A user-owned composite data structure that independently persists the trust, storage, computing, and value of Interactions and dynamically coalesces to create intelligent and personal patterns

Having created a foundation of user-driven blockchain, with the Babylon upgrade, MOI has transformed itself to meet the needs of the emerging digitally interacting future, that is, the Metaverse.

With the rapid acceleration within the technology sphere, multiple metaverses have emerged with the potential to become independent virtual economies. To enable smooth interoperability and user experience, multi-dimensional digital asset ownership and user-centric interactions are the need of the hour. Through MOI’s seamless single-chain ecosystem, users can interact and transfer their assets across different virtual realities seamlessly with increased security, flexibility, and personalization.

TechGraph: What measures does MOI Technology have in place to maintain the security and integrity of the contextual computation framework within the Babylon testnet, considering the sensitive nature of blockchain-based systems?

Anantha Krishnan: PISA, a Virtual Machine for contextual computation, is structured to function in a secure sandbox environment, ensuring robust security through the segregation of the asset layer from computation.

Additionally, through our accessible and secure programming language, COCO, we enhance code auditability, with its syntax designed to facilitate highly secure code writing, and its human-readable manifest aiding in easy code verification.

TechGraph: How does MOI Technology address potential challenges or limitations in implementing the “context first” approach, and what steps are being taken to overcome them and achieve widespread adoption of this paradigm?

Anantha Krishnan: To ensure the widespread adoption of the contextual computing paradigm, we’ve crafted an accessible and secure programming language called COCO. This language enables developers to create peer-to-peer context-oriented programs, benefitting from its Python-like familiarity.

Further, through our super app, Voyage, we’re dedicated to constructing an all-encompassing platform that addresses the requirements of developers and various stakeholders, streamlining their tools and resources.

We are continually striving to produce a variety of educational materials, including documentation, videos, and podcasts, to effectively communicate the intricacies of this novel design pattern. MOI Nation is a grass-roots movement targeted at college students globally to educate them on this new paradigm of contextual computing and its fundamental benefits.

Anantha Krishnan: After the successful launch and significant impact achieved by the Babylon launch, we have a few things in store. One of the primary focuses of MOI is to induce a paradigm shift into the web3 sector by bringing personalization and contextual computation to the mainstream.

Apart from this, our objective is to expand our community and onboard developers, users, and web3 enthusiasts to leverage the offerings of the ecosystem. We aim to cross 500,000 validators by the end of this year.

Another key focus for us is to establish long-term partnerships with large networks and other web3 players to foster collaborative growth and learning.

Additionally, we have initiatives such as MOI Nation, where students from different colleges and universities join us to learn, build, and generate awareness around MOI, for which we hope to grow further and cover global regions. For our women-focused program, MOI Shakti, we aim to continue our impactful journey towards nurturing and enabling women entrepreneurs with the right resources and knowledge, allowing them to achieve new heights and success.

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Krishna Mali
Krishna Mali
Founder & Group Editor of TechGraph.

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