The ARC Prize check is a deceptively easy problem designed to measure a machine’s capacity to purpose, summary, and generalize—core components of synthetic normal intelligence (AGI). It’s essentially the most distinguished benchmark to emerge as researchers search for methods to measure progress towards AGI. For the total story, see the characteristic article “Will We Know Artificial General Intelligence When We See It?”
Whereas at this time’s smartest AI models nonetheless wrestle with many of those visible puzzles, people usually resolve them simply. We’ve chosen 5 from the ARC collection of practically 2,000 puzzles, aiming for a spread from straightforward to pretty onerous, and tailored them into multiple-choice quizzes.
INSTRUCTIONS: For every of the 5 puzzles, study the examples and attempt to determine the overarching sample between inputs and outputs. Your purpose is to determine the rule that governs how the enter [on the left in each box] is reworked into the output [on the right]. Then, have a look at the check grid: Given its enter, and based mostly on what you’ve discovered from the examples, what ought to the output be? Click on one of many 4 multiple-choice solutions to see when you’re proper. Crack all 5 puzzles and show you’re not simply one other language mannequin!
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