DeepReinforce Ships Ornith-1.0, a Coding Model that Writes its Own RL Scaffolds
DeepReinforce has released Ornith-1.0, an open-weight family of coding models that can generate the reinforcement learning (RL) scaffolds to guide its own training. Unlike traditional RL pipelines, Ornith-1.0 eliminates the need for hand-written task harnesses, allowing the model to propose refined scaffolds and then generate solutions. This process enables the model to simultaneously learn orchestration and problem-solving, with rewards flowing back to influence both stages.
This novel training method could fundamentally change how coding models are developed, allowing for more autonomous and adaptive learning of complex tasks without extensive human-designed scaffolding.
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