Summary

  • Measuring intelligence in AI is highly subjective, with many companies relying on multiple-choice tests which don’t always truly reflect the capabilities of the models or their performance in the real world.
  • However, more comprehensive tests are being developed, such as the ARC-AGI benchmark, which assesses general reasoning and creative problem-solving, and Humanity’s Last Exam, a 3,000-question assessment that covers various disciplines.
  • Despite these evolving methods, GAIA benchmark founder Sri Ambati said the industry needs to shift toward comprehensive assessments of problem-solving abilities, to better reflect the challenges and opportunities for real-world AI deployment.

By Sri Ambati, H2O.ai

Original Article