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The latest ornith news, distilled by AI into sharp ~100-word summaries. ByteBrief tracks ornith across dozens of tech sources and brings you only what matters, updated hourly. Tap any story for the full brief, or open the original source.
Ornith-1.5 introduces a self-improvement loop where models propose tasks, generate scaffolds, and produce rollouts for reinforcement learning. It spans 397B MoE, 35B MoE, and 9B dense scales. The 397B scores 86.1 on Terminal-Bench 2.1, matching Claude Opus 4.8. The 9B runs on mobile devices.
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