An experiment using the Codex and Astra AI models on the Kaggle Titanic dataset yielded disappointing results, with the models achieving only 72.96% accuracy within a one-hour limit. Even with explicit guidance towards XGBoost and extended time, the accuracy only reached 77.27%. However, by employing a new workflow with Gear to evolve a DSH harness for Astra, the accuracy improved significantly to 79.90% with an average execution time of approximately 13 minutes per candidate run. AI
IMPACT Demonstrates how workflow evolution can significantly improve AI agent performance on familiar tasks, suggesting a path for more effective AI tool development.
RANK_REASON The item describes an experiment with existing AI models and a new workflow/tool, rather than a novel model release or significant industry event.
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