1. Introduction

Arbit: A Decentralized Platform Bridging Creativity and AI

The rapid advancement of artificial intelligence (AI) has brought both opportunities and challenges to the creative industries, research, and business processes in terms of efficiency and innovation. However, most AI platforms today operate on centralized architectures, lacking cross-domain collaboration capabilities, which limits the full potential of AI in fields like art creation, business analysis, and scientific research. While the fusion of creativity and AI holds disruptive potential, the absence of a decentralized framework has hindered the full realization of AI's capabilities. Arbit aims to bridge this gap by providing an open platform where users can create, train, trade, and share AI agents, unlocking the true value of "AI + Creativity."

Core Issues in the Current AI Market:

• Centralized Monopolies: Dominated by a few tech giants, mainstream AI platforms lack transparency in data and algorithms, leaving users excluded from value distribution.

• Collaboration Barriers: Poor compatibility between cross-domain AI tools makes it difficult for agents in creative, business, and research fields to interoperate.

• Ambiguous Ownership: AI-generated content lacks credible certification mechanisms, leaving creators' rights unprotected.

• Incentive Gaps: Traditional platforms fail to establish a creator economy, making it hard for talented AI developers to earn sustainable income.

Comparison: Traditional AI Platforms vs. Arbit

Dimension	Traditional AI Platforms	Arbit
Governance Model	Centralized operations	Decentralized DAO governance
Value Anchoring	Functional metrics	Proof of Creativity (POC) + Economic incentives
Collaboration	Closed ecosystems	Interoperability across Web3 platforms
Copyright Mechanism	Opaque ownership	Blockchain-based certification + POC originality proof