AI Research

    How enabling two settings tripled our scores on the ARC-AGI-3 benchmark

    Unlocking latent reasoning capabilities in LLMs through targeted API configuration adjustments.

    How two API settings improved GPT-5.6 performance on ARC-AGI-3, boosting scores and efficiency by retaining reasoning and enabling compaction.

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    Optimizing API configurations represents a critical breakthrough in maximizing the reasoning depth of large language models on complex logical benchmarks. This development demonstrates that precise environmental tuning can extract significantly higher performance from existing architectures without requiring massive parameter scaling.

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