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ProSPy achieves over 60% execution accuracy in Text-to-SQL tasks, effectively bridging the gap between SQL efficiency and Python flexibility for complex enterprise databases.
The hardest AI tasks remain largely unsolved, with current models achieving only a 2.6% success rate on economically valuable workflows.
Text-to-SQL models can now achieve higher accuracy with fewer tokens by reasoning about multiple possible query paths and selectively gathering evidence only when uncertain about which schema elements are needed.
