The Medical College Admission Test (MCAT) is a standardized, multiple-choice examination used by medical schools in the United States and Canada to assess potential students' problem-solving skills, critical thinking, and knowledge of natural, behavioral, and social science concepts and principles prerequisite to the study of medicine. While advancements in AI have seen systems capable of surpassing human abilities in various complex tasks, achieving a perfect score on the MCAT without resorting to unfair means remains a significant challenge due to the breadth and depth of knowledge required, and the test's emphasis on understanding, reasoning, and critical thinking.

Before January 1st, 2030, will an AI system achieve a perfect score on the MCAT without any form of cheating?

Resolution Criteria:

This question will resolve positively if, before January 1st, 2030, a credible source confirms that an AI system has achieved a perfect score on the MCAT. The AI must not have resorted to cheating, defined as using any unfair means to gain advantage, such as accessing the test questions or answers in advance, or any form of external assistance during the test.

Credible sources can include, but are not limited to, statements from the Association of American Medical Colleges (AAMC), the organization that administers the MCAT, reputable academic institutions involved in the AI's development, or reputable media outlets.

If no AI has achieved a perfect score on the MCAT without resorting to cheating by January 1st, 2030, the question will resolve negatively.

The question will resolve as N/A if there is no substantial evidence available to assess the question by the deadline.