Poolside trains its models using reinforcement learning on code execution feedback specifically, aiming for a deeper understanding of software systems and developer intent than a general-purpose model gets from web text alone. It's raised substantial funding on the bet that a model trained this way will out-code general frontier models at their own game.
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