A new initiative called AI IQ applies the concept of human IQ testing to score over 50 leading AI language models, presenting their abilities on a traditional bell curve. This approach categorizes AI performance across four domains—abstract, mathematical, programmatic, and academic reasoning—using a composite IQ calculated from 12 benchmarks. Despite its popularity for making AI capabilities easier to comprehend, critics warn that distilling diverse AI skills into a single IQ score oversimplifies complex performance variations. Notably, the site also includes emotional intelligence (EQ) metrics, highlighting a wider perspective on AI’s capacities. Leading AI models show close performance clusters at the top, with cost-effectiveness also highlighted to assist enterprise decisions. The platform sparks discussions about how best to assess AI intelligence, emphasizing model selection and deployment as key strategic considerations.
Back
