Community Owned Models & Agents
What are the community-owned Models & Agents?
Our infrastructure lets anyone create a Small Language Model tailored to a specific domain or business function, connect it to a user interface, and invite the community to enhance its dataset. Each SLM is laser-focused on a specific task and nails it. Our community can Build, monetize, and tokenize efficient SLMs and SLM-powered AI agents that are experts in a particular field of knowledge.
Creators and developers feed their small language models (SLMs) with fresh, accurate information, and in the long term, those models will overperform LLMs on each specific task.
Financialization of AI: the community owns the data powering these AI models/agents and has a direct opportunity to invest its resources in best-performing use cases with a talented team backing them.
To achieve this, we're focusing on:
An AI infrastructure layer underpins community-owned models and their interoperability. Think of it as a Store of SLMs and SLM-powered Agents, ready to assist both humans and AI Autonomous Agents with any task;
A framework for incentive-driven inference verification.
A Mixture of Agents architecture that allows us to get most of the community-owned Models and Ahgent by orchestrating them on behalf of end users.
How do we keep our models relevant and effective with continuous data updates? Here are the key components:
Initial dataset
Data pre-processing flow
Regular flow of up-to-date information
We are forging a new social contract for the AI era, valuing data ownership, expertise, and contributions as the significant assets they truly are.
Future Vision
Our vision of the future is simple: a Network of SLM-powered AI agents owned by the community and benefiting the community of contributors; To make it happen, we are designing the ecosystem with SLMs, Autonomous Agents, and Contributors and evolving the infrastructure to support economic and data interoperability, model storage, and reward distribution.
Community-owned SLMs will compete with Google and LLMs in performing specific tasks (like launching apps or dApps, trading, analytics, video editing, article writing, marketing campaigns, design, etc.) for humans or Autonomous Agents. Theyโll charge tokens for usage, fairly shared between model contributors and Assisterr.
Itโs like an AI-driven Upwork or Fiverr platform, where agents need a crypto wallet to pay these contractors (SLMs) for every task they finish.
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