Beginner score
10/100
Competition workspace
Research-level teams interested in fluid intelligence and abstract reasoning tasks, especially people comfortable designing custom solvers and running long Kaggle notebook evaluations.
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
10/100
Learning value
84/100
Estimated effort
80-220 hours
Metric
ARC-AGI-3 Metric
Research-level teams interested in fluid intelligence and abstract reasoning tasks, especially people comfortable designing custom solvers and running long Kaggle notebook evaluations.
Taken from the competition's official page.
25 public game files in environment_files
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
Python
Kaggle notebook submission workflow
abstract reasoning or program-search experience
custom evaluation debugging
ability to run long CPU/GPU experiments
The real friction is usually not library usage. It is validation, time allocation, and task framing.
The task is a frontier reasoning benchmark with a custom metric, one-submission-per-day cadence, kernel-only submissions, and long runtime limits. Simple supervised baselines are unlikely to teach much without substantial reasoning-system design.
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
A simple framework for choosing a competition that teaches instead of overwhelming you.
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Rules, files, submission details, and the live deadline still come from the official page.
These competitions share a similar domain or difficulty level.
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