Fluid AI Intelligence Measure

A Fluid AI Intelligence Measure is an AI intelligence measure that quantifies an AI system's capacity to solve novel problems and adapt to unfamiliar situations without relying on memorized training patterns.

• AKA: AI Fluid Reasoning Capability, Novel Problem-Solving AI Metric, Adaptive AI Intelligence Score, AI Gf Measure.
• Context:
  • It can typically assess Novel AI Task Performance through abstract fluid AI reasoning processes.
  • It can typically distinguish Advanced AI Model capabilities in fluid AI intelligence benchmarks.
  • It can typically evaluate AI Adaptation Speed to unprecedented fluid AI problem domains.
  • It can typically measure AI Generalization Ability across diverse fluid AI challenge types.
  • It can typically predict AI Transfer Learning Success based on fluid AI intelligence levels.
  • ...
  • It can often correlate with ARC-AGI Benchmark Score in measuring fluid AI problem-solving.
  • It can often complement Crystallized AI Intelligence Measure in comprehensive fluid AI capability assessment.
  • It can often indicate AGI Proximity through high fluid AI intelligence scores.
  • It can often reveal AI Architecture Effectiveness for handling fluid AI reasoning tasks.
  • ...
  • It can range from being a Zero Fluid AI Intelligence Measure to being a Human-Level Fluid AI Intelligence Measure, depending on its fluid AI reasoning capability.
  • It can range from being a Narrow Fluid AI Intelligence Measure to being a Broad Fluid AI Intelligence Measure, depending on its fluid AI problem scope.
  • It can range from being a Symbolic Fluid AI Intelligence Measure to being a Neural Fluid AI Intelligence Measure, depending on its fluid AI reasoning mechanism.
  • It can range from being a Discrete Fluid AI Intelligence Measure to being a Continuous Fluid AI Intelligence Measure, depending on its fluid AI scoring granularity.
  • It can range from being a Domain-Specific Fluid AI Intelligence Measure to being a Domain-General Fluid AI Intelligence Measure, depending on its fluid AI application breadth.
  • ...
  • It can integrate with AI Benchmark Suite for comprehensive fluid AI performance evaluation.
  • It can inform AI Training Strategy regarding fluid AI capability development.
  • It can guide AI Architecture Design for optimal fluid AI intelligence emergence.
  • It can support AI Safety Assessment through fluid AI capability measurement.
  • It can enable AI Progress Tracking via longitudinal fluid AI intelligence monitoring.
  • ...
• Example(s):
  • Grok-4 Fluid Intelligence Score, demonstrating nonzero fluid reasoning on ARC-AGI.
  • GPT-4 Abstract Reasoning Performance, showing fluid problem-solving capabilities.
  • Claude Fluid Adaptation Metric, measuring novel task handling ability.
  • Gemini Fluid Intelligence Assessment, evaluating multi-modal reasoning.
  • LLaMA Fluid Reasoning Benchmark, testing open-domain problem-solving.
  • ...
• Counter-Example(s):
  • Crystallized AI Intelligence Measure, which assesses memorized knowledge rather than fluid AI adaptation.
  • Training Loss Metric, which measures optimization progress not fluid AI reasoning ability.
  • Perplexity Score, which evaluates language modeling without requiring fluid AI problem-solving.
• See: Fluid Intelligence, AI Intelligence Measure, Crystallized AI Intelligence Measure, ARC-AGI Benchmark, AI Cognitive Architecture, Novel Problem-Solving Task, AI Generalization Metric, Abstract Reasoning System, AI Capability Assessment, Intelligence Measure.

---