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Note: ARC-AGI-1 semi-private score shown. With DeepSeek’s new published research, we can better inform our speculation. The key insight is that higher degrees of novelty adaptation (and reliability) for LLM reasoning systems are achieved along three dimensions: Adding human labels aka SFT to CoT process model training CoT search instead of linear inference (parallel per-step CoT inference) Whole C