Artificial Intelligence (AI) is transforming industries, but its development remains heavily centralized. A few tech giants control AI models, datasets, and computational power, limiting access and innovation.

NeuralNet DAO introduces a decentralized AI research and governance model, leveraging blockchain technology and decentralized autonomous organizations (DAOs) to ensure fair AI funding, transparent decision-making, and global participation.

1. The Problem: Centralized AI Development

The current AI landscape is controlled by a handful of corporations that dictate research priorities, collect vast datasets, and restrict model access. This results in:

• Data Monopoly – AI models require extensive datasets, but most data is proprietary and owned by a few entities.
• Opaque Decision-Making – The public has no say in how AI models are trained, used, or governed.
• Unequal Economic Benefits – The profits generated from AI development are concentrated among large corporations, excluding independent developers and data contributors.

2. NeuralNet DAO: A Decentralized Alternative

NeuralNet DAO transforms AI development through a community-driven, token-governed, and transparent framework:

• Decentralized Governance – AI research, funding, and usage policies are determined through NND token-based voting.
• Smart Contract Execution – Decisions and funding allocations are executed via blockchain-based automation.
• Open AI Economy – AI models are deployed in a decentralized marketplace where developers, data providers, and users interact transparently.

3. Key Mechanisms of NeuralNet DAO

🔹 Token-Based AI Governance

• NND token holders propose and vote on AI research projects and funding distribution.
• The community determines AI development priorities, ensuring democratic decision-making.

🔹 Decentralized AI Research Funding

• The DAO Treasury supports AI projects, with fund allocation decided by token holders.