DeepReinforce released Ornith-1.0, an open-source model family that outperforms Claude Opus 4.7 on Terminal-Bench 2.1, challenging frontier AI labs.…
DeepReinforce released Ornith 1.0, an open-source AI model for agentic coding that writes its own scaffolding during training. Unlike traditional reinforcement learning setups, the model proposes impr…
DeepReinforce released Ornith-1.0, an open-source family of coding models that learn to build their own task scaffolds, moving intelligence from the surrounding harness into the model itself. The mode…
DeepReinforce released Ornith-1.0, an open-source family of coding models under MIT license on June 25, designed specifically for AI agents operating in real terminal and repository environments. The …
DeepReinforce released Ornith-1.0, a family of self-scaffolding LLMs for agentic coding built on Gemma 4 and Qwen 3.5, achieving state-of-the-art performance among open-source models of comparable siz…
DeepReinforce released Ornith-1.0, an open-source family of agentic coding models that use self-scaffolding reinforcement learning to outperform Claude Opus 4.7 on SWE-Bench Verified and Terminal-Benc…
DeepReinforce released Ornith-1.0, an open-source family of coding models that learn their own reinforcement learning scaffolds, achieving state-of-the-art results among open models. The lineup includ…
DeepReinforce open-sourced Ornith-1.0, a family of self-improving coding models ranging from 9B to 397B parameters, which learn to generate their own task-specific scaffolds during reinforcement learn…