General Information

Structure of the VectorChat Project

The VectorChat project can be envisioned as a dynamic network where each division has relative autonomy, yet they collectively strive towards the shared objective of transforming $CHAT into a decentralized inference protocol. This protocol would be designed to incentivize the creation of high-volume, permissionless, and uncensored solutions in artificial intelligence and adjacent fields.

Advantages of Decentralization

Through the democratization of AI, decentralized approaches often achieve superior results by engaging a broader and more diverse group of thinkers compared to centralized "silos," which are hindered by imperfect recruitment processes and malaligned economic incentives.

Decentralization empowers both creators and users of AI by enabling them to own the intelligence they develop, thereby providing a unique incentive for the creation of superior AI. In contrast to traditional models where talented individuals often work under large corporations that reap most of the benefits, decentralization distributes resources directly to innovative minds by merit. This allows them to develop advanced models and directly enjoy the benefits of their creations—a much more compelling incentive mechanism.

Challenges of Decentralization

While decentralization offers numerous advantages, it also presents several challenges. One of the most pressing is the issue of awareness—both in terms of the supply from intelligent contributors and the demand from users of AI. Without significant demand, the incentives provided by a decentralized system can only achieve limited success. Even with strong incentives in place, they are ineffective without sufficient awareness of the opportunities these technologies afford.


Furthermore, while the potential benefits of decentralization are immense, the associated risks can be equally high. Traditional employment in established corporations often offers the security of a guaranteed salary, whereas decentralized solutions are purely results-based. Depending on the structure of the protocol, even being second best may not yield any substantial rewards.

Acquiring Demand for Higher Incentives

To maintain and enhance the incentives for decentralized solutions, a consistent source of genuine demand is crucial. While the ultimate goal is to create superior AI that naturally attracts demand, the interim period requires that demand to be brought to it. This is why the VectorChat project is developing Toffee–a powerful conversational AI platform that aims to drive real demand to our decentralized solutions, as a genuine client of the protocol.


Toffee will leverage decentralized inference for Large Language Models (LLM), Voice Synthesis, and Retrieval-Augmented Generation, thereby providing a user experience that surpasses that of its competitors. The platform’s flagship feature, candies—formerly known as Knowledge Packs—will rely on decentralized inference and storage. Learn more here.


Moreover, as the VectorChat project develops decentralized solutions, each division will feature its own product and interface, aimed at attracting external demand beyond the project. For instance, the Chunking Subnet will offer superior Retrieval Augmented-Generation directly to enterprises and developers. Learn more here.

CHAT Token

About

The native token of the VectorChat project, $CHAT enables the creation of incentivized decentralized intelligence and adjacent tasks designed to exceed that of centralized AIs. In its current phase, as the VectorChat project expands our network of decentralized AI, the $CHAT coin gains utility by incentivizing and accessing the bandwidth of our decentralized solutions, such as the Chunking Subnet

The native token of the VectorChat project, $CHAT enables the creation of incentivized decentralized intelligence and adjacent tasks designed to exceed that of centralized AIs.


In its current phase, as the VectorChat project expands our network of decentralized AI, the $CHAT coin gains utility by incentivizing and accessing the bandwidth of our decentralized solutions, such as the Chunking Subnet.

The native token of the VectorChat project, $CHAT enables the creation of incentivized decentralized intelligence and adjacent tasks designed to exceed that of centralized AIs.


In its current phase, as the VectorChat project expands our network of decentralized AI, the $CHAT coin gains utility by incentivizing and accessing the bandwidth of our decentralized solutions, such as the Chunking Subnet.

About

Access to Chunking Subnet Bandwidth

Access to Chunking Subnet Bandwidth

The native token of the VectorChat project, $CHAT enables the creation of incentivized decentralized intelligence and adjacent tasks designed to exceed that of centralized AIs.


In its current phase, as the VectorChat project expands our network of decentralized AI, the $CHAT coin gains utility by incentivizing and accessing the bandwidth of our decentralized solutions, such as the Chunking Subnet.

While the Chunking Subnet remains under development, the initial access mechanism is that the $CHAT token shall have direct access to the bandwidth controlled by our validator. This becomes especially pronounced after BIT001, as validation will require a direct stake in the subnet itself instead of simply in $TAO.

The proportion of bandwidth available to a $CHAT staker, in other words the amount of requests they can send in a given interval, will be based on the relative amount of $CHAT staked when compared with other stakers.

When not in use by the staker, and when VectorChat requires additional bandwidth, VectorChat will compensate stakers by paying a set percentage of the market rate–defined as the average fee paid to other validators via other mechanisms. This percentage is yet to be determined.

While the Chunking Subnet remains under development, the initial access mechanism is that the $CHAT token shall have direct access to the bandwidth controlled by our validator. This becomes especially pronounced after BIT001, as validation will require a direct stake in the subnet itself instead of simply in $TAO.

The proportion of bandwidth available to a $CHAT staker, in other words the amount of requests they can send in a given interval, will be based on the relative amount of $CHAT staked when compared with other stakers.

When not in use by the staker, and when VectorChat requires additional bandwidth, VectorChat will compensate stakers by paying a set percentage of the market rate–defined as the average fee paid to other validators via other mechanisms. This percentage is yet to be determined.

Token Metrics

The current token metrics of the $CHAT token, as reported by CoinGecko.

Circulating Supply

75,000,000

Maximum Supply

100,000,000

Price

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Market Cap

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Total Market Cap

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Volume (24 hours)

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Tokenomics

The tokenomics of the $CHAT token from launch, December 19, 2023. There is a speculation buy/sell tax of 5%.

FAQs

What is the maximum and circulating supply of $CHAT?

What is the Community Allocation?

What is the unlock schedule for the Community Allocation?

What is the unlock schedule for the Team Allocation?

What is the maximum and circulating supply of $CHAT?

What is the Community Allocation?

What is the unlock schedule for the Community Allocation?

What is the unlock schedule for the Team Allocation?

What is the maximum and circulating supply of $CHAT?

What is the Community Allocation?

What is the unlock schedule for the Community Allocation?

What is the unlock schedule for the Team Allocation?

Roadmap

Since the genesis of the VectorChat project on December 19th, 2023, the goals and ambitions of both the project and the $CHAT coin have evolved and grown exponentially over time

Since the genesis of the VectorChat project on December 19th, 2023, the goals and ambitions of both the project and the $CHAT coin have evolved and grown exponentially over time.

Since the genesis of the VectorChat project on December 19th, 2023, the goals and ambitions of both the project and the $CHAT coin have evolved and grown exponentially over time.

Beta period

Phase 1

Focused on creating fundamental, real demand for the $CHAT inference protocol.

Developed the VectorChat beta using advanced Retrieval-Augmented Generation technology, enhancing character-based interactions:

  • Focused on creating fundamental, real demand for the $CHAT inference protocol.

  • Developed the VectorChat beta using advanced Retrieval-Augmented Generation technology, enhancing character-based interactions:

    • Enabled characters with effectively infinite memory, significantly surpassing competition.

    • Enabled the creation of characters with detailed control over their mannerisms or knowledge, providing both utility and entertainment.

    • Demonstrated strong user engagement, as many users fully took advantage of the beta allocation of 500,000 tokens per character.

  • Defined the division of VectorChat project into "web2" and "web3" to better address the differing needs of each audience.

  • Designed and developed Toffee, a character-based conversational AI platform aimed at web2 users, with a serious commitment to be the premier conversational AI platform. Learn more here.

  • Focused on creating fundamental, real demand for the $CHAT inference protocol.

  • Developed the VectorChat beta using advanced Retrieval-Augmented Generation technology, enhancing character-based interactions:

    • Enabled characters with effectively infinite memory, significantly surpassing competition.

    • Enabled the creation of characters with detailed control over their mannerisms or knowledge, providing both utility and entertainment.

    • Demonstrated strong user engagement, as many users fully took advantage of the beta allocation of 500,000 tokens per character.

  • Defined the division of VectorChat project into "web2" and "web3" to better address the differing needs of each audience.

  • Designed and developed Toffee, a character-based conversational AI platform aimed at web2 users, with a serious commitment to be the premier conversational AI platform. Learn more here.

Decentralization

Phase 2

The current phase, kicked off with the development of the Chunking Subnet on the Bittensor Protocol.

Expansion of the VectorChat team, enabling simultaneous development of both web2 and web3 components.

The web3 component of the VectorChat project is organized into divisions that collaborate towards the goal of achieving a truly decentralized inference protocol. The $CHAT token will have utility in all divisions.

The launch of Toffee, targeting product-market fit through high utility, relatability, and ease-of-use

The launch of the Chunking Subnet and associated site, enabling the highest quality Retrieval Augmented-Generation through a critical aspect of preprocessing data.

The creation of further divisions in various fields of artificial intelligence

  • Expansion of the VectorChat team, enabling simultaneous development of both web2 and web3 components.

  • The web3 component of the VectorChat project is organized into divisions that collaborate towards the goal of achieving a truly decentralized inference protocol. The $CHAT token will have utility in all divisions.

  • The launch of Toffee, targeting product-market fit through high utility, relatability, and ease-of-use

  • The launch of the Chunking Subnet and associated site, enabling the highest quality retrieval Augmented-Generation through a critical aspect of preprocessing data.

  • The creation of further divisions in various fields of artificial intelligence

  • Expansion of the VectorChat team, enabling simultaneous development of both web2 and web3 components.

  • The web3 component of the VectorChat project is organized into divisions that collaborate towards the goal of achieving a truly decentralized inference protocol. The $CHAT token will have utility in all divisions.

  • The launch of Toffee, targeting product-market fit through high utility, relatability, and ease-of-use

  • The launch of the Chunking Subnet and associated site, enabling the highest quality retrieval Augmented-Generation through a critical aspect of preprocessing data.

  • The creation of further divisions in various fields of artificial intelligence

Protocol Development

Phase 3

The ultimate state of the $CHAT token: a truly decentralized protocol that incentivizes everyone
to create and use permissionless, uncensored AI, opening the door to far more demand.

Token

Chunking

Toffee

Company

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