Decentralized Social Network Protocol
Current business models and information architectures of social media and AI are causing harm to users and to society.
We’re developing rigorous, easily replicable methods to identify and mitigate dangers created by various social media networks and AI technologies such as Large Language Models (LLM). We’re also exploring solutions for privacy and security as LLMs are developed and deployed by individuals, firms, and governments.
The technology of Decentralized Social Network Protocol and AI applications, or DSNP-AI, is an example of a digital infrastructure that has the potential to enhance benefits to society while minimizing individual and collective harms.
The proposed rapid iteration of design, testing, tweaking, and retesting of DSNP-AI architectures can significantly improve our ability to construct better social media and AI platforms that are responsive to the needs and behaviors of its users, as well as significantly alter the power dynamic between platform companies, users, and governing bodies.
By employing this experimental and iterative approach, we hope to explore and test new governance strategies, privacy paradigms, business models, and content moderation systems for digital platforms and AI.