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Small language models achieve high abstract reasoning scores by memorizing task distributions rather than learning generalizable rules, failing even simple out-of-distribution shifts.
Tycho's innovative approach to active abstraction allows agents to achieve perfect action efficiency while navigating complex game environments, outperforming human players significantly.
Forget static benchmarks: ARC-TGI offers a dynamic, human-validated approach to generating ARC-AGI tasks, enabling scalable dataset sampling and controlled benchmarking.
