Poolside's Laguna S 2.1, a smaller AI model, has demonstrated the ability to outperform larger models. This is achieved through its capacity for self-revision and persistence during complex, long-duration tasks. Notably, the model successfully solved a 49-year-old mathematical problem at a cost of less than ten cents. AI
IMPACT Demonstrates that smaller, more efficient models can achieve state-of-the-art performance through advanced techniques like self-revision.
RANK_REASON Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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