Fortytwo

We believe the future of artificial intelligence lies in a new paradigm where collective intelligence emerges from multi-agent collaboration.

A New Type of Inference

Fortytwo is a multi-agent AI protocol designed to unlock scalable and efficient intelligence to meet the global demand for AI.

Traditional monolithic large language models (LLMs) face significant scalability challenges, accuracy limitations, and costly APIs that hinder the development of next-generation AI solutions.

Our decentralized approach addresses these issues by deploying AI nodes in a hive-like peer-to-peer network. In this system, nodes verify and build upon each other's responses, creating a form of collective intelligence that offers greater efficiency and can surpass the accuracy of centralized AI models—all at a fraction of the cost.

Mixture-of-Nodes Architecture

Fortytwo utilizes a Mixture-of-Nodes architecture composed of Small Language Models (SLMs) that specialize in unique domains. Collectively, these specialized nodes can outperform generalized models. By running these atomized SLM agents on consumer-grade hardware, Fortytwo leverages the excess computational capacity of modern chips like Apple Silicon and RTX graphics cards. This eliminates the need to rent full nodes or invest in expensive data centers.

While the development of more powerful chips and expansive data centers has improved AI availability, this centralized approach remains prohibitively expensive and unsustainable in the long term. In contrast, Fortytwo's decentralized architecture scales AI capabilities by simply adding more nodes to the network. As the hive grows, it becomes more capable and intelligent.

Research

For a deeper understanding of our approach, please refer to our paper:

Self-Supervised Inference of Agents in Trustless Environments

Available at: https://arxiv.org/abs/2409.08386

Stay in Touch

X: @fortytwonetwork
Contact: contact@fortytwo.network