I got 37% on ARC-AGI-2 Kaggle without LLMs!

An independent researcher reports achieving a 37% score on the ARC-AGI-2 Kaggle competition without using large language models. The system relies on a 100-million-parameter looped transformer trained from scratch, peaking at 6th place and outperforming the previous year's winning LLM approach. Open article →