¿Puede la IA obtener un puntaje en el top 10% en el SAT ?

Verbal y cuantitativo. El SAT ha sido efectivamente retirado como referencia de progreso en IA — demasiado fácil.

Background

The SAT has historically been a benchmark for human academic assessment, though recent commentary notes that it has "effectively been retired as an AI-progress benchmark — too easy." While AI systems have made significant strides in natural language processing and in-domain problem solving—demonstrating impressive capabilities in processing and generating human-like language—achieving uniformly high performance across the SAT’s diverse sections remains a subject of ongoing research and development. Current AI models can excel in specific areas such as math or reading comprehension, but may struggle with more nuanced, context-dependent, or adversarially phrased questions that appear on the test. Studies and expert assessments indicate that holistic top-tier performance on the SAT continues to challenge AI systems, underscoring both the complexity of the test and the gaps between narrow-task proficiency and generalized reasoning.

— Source: MIT News (Enriched May 9, 2026)