Skip to content
AI News HubLIVE
More
Summary only

AI IQ: Mapping AI Benchmarks onto a Common Capability Scale

AI IQ intelligently estimates the IQs of popular AI models by mapping benchmark scores onto a normalized scale through calibrated difficulty curves, covering abstract, mathematical, programmatic, and academic reasoning, along with emotional intelligence (EQ) from EQ-Bench and Arena Elo.

SourceHacker News AIAuthor: shea256
AI IQ: Mapping AI Benchmarks onto a Common Capability Scale
Report an error

The correction channel is not available yet. You can copy the article reference below for later.

Correction instructions

Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

Article intelligence

EngineersAdvanced

Key points

  • AI IQ maps 12 benchmarks into four reasoning dimensions, with composite IQ averaged equally across dimensions.
  • It converts benchmark scores to implied IQ using calibrated difficulty curves and conservatively imputes missing data.
  • Emotional intelligence (EQ) is estimated from EQ-Bench 3 and Arena Elo, with a correction for Anthropic family bias.
  • Visualizations include cost vs. performance scatter plots, timeline tracking, and a 3D view integrating IQ, EQ, and cost.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

More recent stories on this topic · Models

AI IQ: Mapping AI Benchmarks onto a Common Capability Scale | AI News Hub