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GPT-5.6 Series
GPT-5.6 Sol is the first AI model to solve the ARC-AGI-3 public game, demonstrating its ability to orient itself in unfamiliar environments.
What: GPT-5.6 Sol achieved a landmark result on the ARC-AGI benchmark by correctly re-planning after failed hypotheses rather than 'thrashing.' It achieved 87% accuracy on the ft09 environment, proving superior spatial and situational reasoning.
Why it matters: This success marks a shift toward models that can adapt to novel, rule-based environments without relying on rote pattern matching, a core hurdle for general AI agents.
Deep dive
- ARC-AGI-3 evaluates a model's ability to learn and apply rules in novel, visual logic games.
- Sol performs best when provided with 'max reasoning effort,' suggesting an iterative thinking process.
- The model succeeds by orienting itself in a scene before executing tasks, unlike previous models that often fail due to premature action.
- The series includes 15 distinct reasoning variants across Sol, Terra, and Luna models.
Decoder
- ARC-AGI: The Abstraction and Reasoning Corpus, a benchmark designed to test AI's general intelligence by forcing it to solve logic puzzles it has never encountered before.
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