Evals & Safety
ARC-AGI
The Abstraction and Reasoning Corpus for Artificial General Intelligence, a benchmark of visual grid puzzles.
In depth
The Abstraction and Reasoning Corpus for Artificial General Intelligence, a benchmark of visual grid puzzles. Each puzzle shows a few input-output examples, and the solver has to work out the rule and produce the output for a new input. François Chollet introduced it in 2019 to measure skill-acquisition efficiency on novel tasks rather than memorized knowledge, following the principle of easy for humans, hard for AI. The ARC Prize Foundation now maintains newer versions such as ARC-AGI-2, which keeps the same task format with harder tasks.
Primary source: arxiv.org
Example
The ARC Prize Foundation now maintains newer versions such as ARC-AGI-2, which keeps the same task format with harder tasks.
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FAQ
Common questions
What is ARC-AGI?
The Abstraction and Reasoning Corpus for Artificial General Intelligence, a benchmark of visual grid puzzles.
Why does ARC-AGI matter for AI developers?
ARC-AGI sits in the Evals & Safety part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about ARC-AGI?
Developers Digest publishes tutorials and videos that cover Evals & Safety topics including ARC-AGI. Check the blog and YouTube channel for hands-on walkthroughs.
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