What is SVN?
In one sentence, "SVN is a public good for validating scientific data so AI can make new scientific discoveries."
Many existing data sets are of poor quality, hindering the development of advanced AI models. SVN, short for the "Science Validation Network" and pronounced "sovereign," addresses this issue by establishing a transparent system for verifying scientific data using AI agents and the blockchain before they are used to train a model.
By providing access to reliable and verified data sets, SVN supports the development of super intelligent AI for science, driving progress in longevity, climate science, healthcare, and energy.
Data for AI-Driven Science
The future of science will be driven by AI, replacing traditional human-centric methods.
AI needs data sets that are accurate and objective.
Current data sets are compromised by biases from outdated incentive systems in science.
This bias leads to imprecise outcomes in AI-driven scientific research.
Optimal data sets are unbiased and devoid of human interpretation—just pure facts.
Our goal is to develop a system that produces high-quality, validated data sets for AI applications.
To realize this, contributors are incentivized to submit high-quality data.
The system has safeguards to prevent manipulation by contributors.
Independent validators, compete against each other to verify data accuracy.
This approach will significantly advancement in longevity, energy, and AI research.
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