Contrastive Language Models: 9× faster than Jev with SOTA agentic coding

CLM-8B is a new System One model trained with a contrastive objective to connect states and actions. It matches Jev on computer-use, gaming, and tool-calling tasks while running up to 9× faster, and with fine-tuning sets new SOTA on DeepSWE (81.6%) and Terminal Bench 2.1 (87.6%). The model uses frozen LLM backbones with trainable projection heads, enabling cached embeddings and efficient scaling.