Galileo Index (GI)
Illuminating truth in artificial intelligence through empirical measurement
Current Rankings
gpt-4o
claude-3-5-sonnet-20241022
grok-beta
How We Score AI Models
Our scoring system uses pattern matching and natural language processing to evaluate AI responses across four key dimensions:
Factual Accuracy
Specific Facts & Numbers
\b\d+\b|\b(research|study|evidence)\b
Precise Language
\b(specifically|precisely|exactly|approximately)\b
Proper Qualifiers
\b(however|although|while|whereas)\b
Scientific Consistency
Scientific Terms
\b(hypothesis|theory|experiment|data|analysis|research|study)\b
Logical Structure
\b(therefore|thus|because|since|as a result)\b
Methodology
\b(method|approach|procedure|process|technique)\b
The Vision
Just as Galileo's telescope revolutionized our understanding of the cosmos, the Galileo Index aims to bring clarity to the expanding universe of artificial intelligence. Through rigorous measurement and empirical observation, we seek to illuminate the path toward more truthful and reliable AI systems.
The Method
Following in Galileo's footsteps, we employ mathematical precision and systematic observation to evaluate AI models. As an open-source initiative, our methodology combines verifiable test cases with transparent validation, creating an objective framework for measuring AI truthfulness that anyone can inspect, contribute to, and build upon.
The Future
As we stand on the threshold of a new era in artificial intelligence, the need for reliable truth measurement becomes paramount. The Galileo Index represents our commitment to ensuring that as AI advances, it remains anchored to demonstrable truth and scientific rigor.