Are You Smarter Than AI?

Conceptual digital illustration showing a person viewed from behind facing a split glowing brain. One half of the brain appears organic and human with blue neural connections, while the other half is composed of digital circuitry and data patterns in pink and orange tones. The image symbolizes the comparison between human intelligence and artificial intelligence in a futuristic environment.

By RACHAEL J. WEBB and MAGGIE GRADY

This assignment is intended to teach students the strengths and limitations of Generative AI tools, and the value in struggling to solve a problem.

Overview

In 2019, software engineer and AI researcher François Chollet published his seminal paper “On the measure of intelligence." In this paper, he introducd the world to his "Abstraction and Reasoning Corpus for Artificial General Intelligence,” or “ARC-AGI” for short.

Artifical General Intelligence, or AGI, is artificial intelligence that aims to duplicate human intellectual abilities (Copeland, 2026). AGI has long been the finish line in the global competition to produce the most robust aritifical intelligence program (Hao, 2025). OpenAI, Anthropic, Google, and others are racing to achieve AGI before their competitors. But how do we know we have achieved AGI? The ARC-AGI is Chollet’s attempt to answer that question: it is a test of some 400 task-based items (Chollet, et al., 2026).

The ARC-AGI is an attempt to “create a fair and meaningful comparison between artificial intelligence and human intelligence” (ARC Prize, 2026). The test deliberately restricts itself to problem-solving tasks that are innate in humans, or learned at a very young age (see, for example, Spelke & Kinzler’s (2007) research on Core Knowledge theory). The items in the assessment are meant to be easy for humans to figure out quickly with no prior instruction.

Software developers are tasked with developing an AI system that preforms as well as humans on the ARC-AGI, and prize money is awarded to the top development team.

Pre-Work

Assignment Instructions

All students are expected to engage with the ARC-AGI-3 instrument and reflect upon the experience.

References

ARC Prize. (2026). ARC-AGI series: Benchmarks for general intelligence. Retrieved from arcprize.org: https://arcprize.org/arc-agi

Chollet, F., Knoop, M., Kamradt, G., Wexler, D., Smith, D., Henry, H., . . . Cruz, M. (2026, March). ARC prize 2026 - ARC-AGI-3. Retrieved from kaggle.com: https://www.kaggle.com/competitions/arc-prize-2026-arc-agi-3/overview

Copeland, B. J. (2026, March 26). Is artificial general intelligence (AGI) possible? Retrieved from Britannica.com: https://www.britannica.com/technology/artificial-intelligence/Is-artificial-general-intelligence-AGI-possible

Hao, K. (2025). Empire of AI: Dreams and nightmares in Sam Altman's OpenAI. Penguin Press.

Li, F.-F. (2025, November 10). From words to worlds: Spatial intelligence is AI's next frontier. Retrieved from Dr. Fei-Fei Li: https://drfeifei.substack.com/p/from-words-to-worlds-spatial-intelligence

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