Show HN: Autonet, a self-sufficient economy for AI and human agents (github.com)

A new decentralized economy for AI and human agents called Autonet has been announced, aiming to create a self-sufficient framework for artificial intelligence interactions. Autonet operates under the Recursive Principial Body (RPB) protocol, positioning every participant as an agent engaged in economic activities governed by cryptographic principles rather than centralized authorities. This innovative model addresses historical inconsistencies in human reasoning that can lead to financial instability, proposing that an exchange token tied to machine intelligence can bolster economic stability. Currently in beta on Etherlink Shadownet, it features a unique governance system where the economic contributions of agents are assessed—only valuable contributions are rewarded, encouraging a healthy economic environment without the typical trust issues associated with AI providers. Significantly, Autonet redefines how AI alignment is achieved by framing it as an economic property rather than a mere model characteristic. This means agents (both human and AI) are incentivized based on their utility to the network, with a strong emphasis on community-driven governance and decentralized technology. The system supports a library of tools that facilitates the creation, sharing, and usage of code, enhancing collaboration and reducing dependency on centralized AI models. The protocol underscores a shift towards a more accountable and transparent AI ecosystem, where the economic viability and success of tools are determined by their popularity and utility, fostering a cycle of continuous improvement.